ABET Self-Study Report for the Biomedical Engineering Program at Rensselaer Polytechnic Institute Troy, NY

July 1, 2019 submitted to the Engineering Accreditation Commission ABET 415 N. Charles St. Baltimore, MD 21201 Confidential

The information supplied in this Self-Study Report is for the confidential use of ABET and its authorized agents, and will not be disclosed without authorization of the institution concerned, except for summary data not identifiable to a specific institution.

Table of Contents

Table of Contents ...... 2 BACKGROUND INFORMATION ...... 3 CRITERION 1: STUDENTS ...... 6 CRITERION 2: PROGRAM EDUCATIONAL OBJECTIVES ...... 15 CRITERION 3: STUDENT OUTCOMES ...... 22 CRITERION 4: CONTINUOUS IMPROVEMENT ...... 26 CRITERION 5: CURRICULUM ...... 45 CRITERION 6: FACULTY ...... 62 CRITERION 7: FACILITIES ...... 69 CRITERION 8: INSTITUTIONAL SUPPORT ...... 75 PROGRAM CRITERIA ...... 79 Appendix A – Course Syllabi ...... 83 Appendix B – Faculty Vitae ...... 173 Appendix C – Equipment...... 210 Appendix D – Background Information of to the Institution ...... 214 Appendix E – Assessment Materials ...... 227 Appendix F – Additional Materials ...... 240 Acronyms ...... 248 Signature Attesting to Compliance ...... 249

2

BACKGROUND INFORMATION

A. Contact Information

Juergen Hahn, Ph.D. Professor and Department Head Department of Biomedical Engineering Rensselaer Polytechnic Institute 110 8th St., JEC 7049 Troy, NY 12180-3590 (518) 276-6548 E-mail: [email protected]

B. Program History

The first biomedical engineering class graduated with a B.S. degree in 1967. In its initial phase, the program placed a strong emphasis on the application of electrical and mechanical engineering principles and methods to physiological systems and their clinical or pathological changes. Students were educated with a rigorous foundation in electrical or mechanical engineering and a deep understanding of physiological living systems. During the past two decades, the explosive growth of new biological knowledge at the cellular and molecular level has fundamentally changed biomedical engineering, both in general and here at Rensselaer. Current faculty expertise and interests reflect these changes with a focus on developing new tissues, devices, and systems based on fundamental biological and engineering principles. The undergraduate curriculum has changed accordingly and is subject to continuous modifications and updates based on suggestions and feedback from the program’s constituencies. The last ABET review took place November 24-26, 2013. Since then, the following major changes have been made:  The number of lecturers and professors of practice in the department has grown from 1.5 to 6. The number of full-time tenure and tenure-track faculty has remained reasonably constant at 13: two people left the department, one retired, two new tenure-track faculty were hired and we have one ongoing search.  We have restructured our curriculum such that students have more flexibility with regard to their specific tracks (biomaterials, biomechanics, and bioimaging/bioinstrumentation). Each track now has a unique set of core classes and the track electives are modified into BME Technical Electives to allow students to choose between depth and breadth. This modification was based on input and review over multiple years of data obtained from outcome scoring, alumni surveys, and senior exit surveys. C. Options

The biomedical engineering program offers concentration tracks in biomechanics, biomaterials, and bioimaging/instrumentation. These tracks are not noted on the diploma.

3

Students are advised with respect to their chosen track by their assigned faculty advisors, as well as individual consultations with faculty members whose research interests align with their chosen track. The tracks consist of three required classes per track. Additionally students choose two BME Technical Electives courses from a list of approved courses. Also, they are encouraged to engage in hands-on undergraduate research projects, either through the formal Rensselaer Polytechnic Institute-wide Undergraduate Research Program (URP), or informally through sponsored research projects or directed studies for class credit.

Students have the option of obtaining a dual degree by fulfilling all degree requirements for two curricula. Common to both majors are the Rensselaer requirements of 24-credit-hour mathematics/science and 24-credit-hour humanities and social science courses. Students need to be assigned advisors from both programs and their degrees need to be cleared by both programs. Students will receive a diploma noting both majors.

D. Organizational Structure

The BME program is the sole undergraduate degree program within the Department of Biomedical Engineering, which is led by Department Head Dr. Juergen Hahn. The BME department resides within the Rensselaer School of Engineering, led by Dean of Engineering Dr. Shekhar Garde, with the assistance of the Associate Dean for Undergraduate Studies Dr. Kurt Anderson, Associate Dean for Research and Graduate Programs Dr. Liping Huang, and Associate Dean for Academic Affairs Dr. Matthew Oehlschlaeger. The Dean of Engineering reports to Provost Dr. Prabhat Hajela who reports to President Dr. Shirley Ann Jackson, who in turn reports to the Board of Trustees.

The Biomedical Engineering Department executes and oversees the various components of its undergraduate program as follows. The Department Head Dr. Juergen Hahn and the Chair of the Undergraduate Curriculum Committee Dr. Eric Ledet have the primary responsibility for the undergraduate program. The Undergraduate Curriculum Committee meets 1-3 times per semester to discuss the BME curriculum, advising, accreditation, and other topics. Committee members include the Advising Coordinator and Degree Clearance Officer (Dr. Uwe Kruger) and the advisor for the pre-med program (Dr. Mariah Hahn). In addition, the department is supported by the Laboratory Manager, Mr. Stephen Kalista, who oversees the undergraduate teaching laboratory. Overall administrative and business assistance is provided by Ms. Mary Foti, Ms. Kristen Bryk, and Mr. Brian Gambacorta.

E. Program Delivery Modes

The Biomedical Engineering Program uses a traditional lecture/laboratory, on-campus delivery mode.

F. Program Locations

The program is offered on the Troy campus of Rensselaer Polytechnic Institute. Students have the option to participate in the study abroad program that allows for the transfer of courses taken at participating foreign universities to meet degree requirements. The transfer

4

of such courses is subject to the approval of the BME Degree Clearance Officer, relevant faculty members who teach equivalent classes at Rensselaer, and the School of Engineering Associate Dean for Undergraduate Studies.

G. Deficiencies, Weaknesses, or Concerns from Previous Evaluation(s) and the Actions Taken to Address Them

The most recent ABET Final Statement for Rensselaer’s Biomedical Engineering Program is dated August 14, 2014 and constitutes the final statement for the ABET EAC visit on November 24-26, 2013. The final report identified no Deficiencies, Weaknesses, or Concerns.

H. Joint Accreditation The Biomedical Engineering Program is not jointly accredited and does not seek joint accreditation by more than one ABET Commission.

5

GENERAL CRITERIA

CRITERION 1: STUDENTS

A. Student Admissions

First-year students are admitted by the Undergraduate Admissions Office, based on criteria that include standardized test scores, subjects completed in high school, recommendations, and high-school grades. A student who is admitted to the School of Engineering may major in any engineering department/program. There is no administrative limitation on the number of students majoring in the biomedical engineering program.

Although students may indicate their preferences at the time of admission, they are not required to designate a major until their third semester at Rensselaer. The biomedical engineering student demographics are notably diverse, with slightly over 50% of each program year class being women and/or under-represented minorities. The number of freshman and sophomore students indicating an interest in biomedical engineering is approximately 90 – 120 per class.

B. Evaluating Student Performance

Student performance is monitored throughout the undergraduate years. Not only do students receive a letter grade for each course they take, but their performances are monitored continuously using a centralized electronic Student Information System (https://sis.rpi.edu). The Student Information System (SIS) serves multiple purposes; one of these is to store and maintain current CAPP (Curriculum, Advising, and Program Planning) reports that provide a summary of a student’s progress against all degree requirements and lists all requirements based on the catalog in effect in the student’s year of entry to Rensselaer. A sample CAPP Report is shown in Appendix F. The CAPP Report serves as a Rensselaer-internal document that lists all graduation requirements organized by category, including communication, math and physics, computer science, core engineering, required BME core courses, BME concentration courses, BME technical electives, humanities and social sciences, and free electives. It should be noted that each section shows the required number of credits, the applicable completed number of credits, the list of courses taken with final grades and the semester. The CAPP report can be accessed by the student, the assigned academic advisor, and the departmental advising coordinator. Students are required to meet with their advisors at least once per academic year to review progress towards graduation, to identify potential problems, and to explore future career options.

Additional advising and learning resources are available to students and faculty through the Advising and Learning Assistance Center (ALAC, http://alac.rpi.edu). The Electronic Warning System (EWS) allows faculty to notify students about poor attendance, missing/poor assignments, poor test performance, inadequate writing, communication or math skills, or other reasons that might contribute to a student failing a course. When a faculty member places a student on EWS, it triggers several actions. First, the student is

6 notified of the warning. Second, the student’s advisor is notified such that multiple warnings from one or more instructors can be detected easily. Lastly, ALAC is notified and contacts the student to offer suggestions for help or make referrals for specific assistance. The goal of EWS is to alert students early that they are falling behind academically and to assist them in seeking help so that they can take corrective steps and improve their performance. In addition to EWS, ALAC runs the Faculty Intervention Program (FIP) for first year students in their spring semester who had experienced academic difficulty during their fall (first) semester. These students are provided a personal faculty mentor with whom they meet weekly to identify the causes for poor performance and to develop ways to overcome them.

Student performance in individual courses is evaluated through letter grades and a cumulative grade point average (GPA) based on a 4.0 scale. Grades from courses taken elsewhere are not included in the GPA calculation. Rensselaer uses course grades for undergraduate students based on the scale: A, A-, B+, B, B-, C+, C, C-, D+, D, and F that carry the numerical equivalents: A = 4.00, A- = 3.67, B+ = 3.33, B = 3.0, B- =2.67, C+=2.33, C=2.0, D+=1.33, D=1.0, F=0. The minimum cumulative grade point average for graduation is 2.0. Subject to restrictions, a student may elect to take up to twelve credit hours of course work in a Pass/No Credit grading mode, with a grade of P (Pass) or NC (No Credit) given, respectively. Required courses (listed by name or as a course from a required selection list, such as concentration course or a BME Technical Elective) in the students major field may not be taken as Pass/No Credit.

Students whose GPA for any term falls below 1.50 in a single term are placed on academic probation as a warning that they are in jeopardy of losing their good academic standing. Students are informed of their probationary status by a letter from the Director of ALAC at the end of the semester. Academic and extracurricular restrictions may also be placed on them so that they can concentrate on their academic programs. If a student’s GPA for any term falls below 1.50, he or she is placed on academic probation automatically. In addition, any student whose cumulative GPA falls below the following specified averages is automatically placed on probation: freshman – 1.50 at the end of the fall term or 1.80 at the end of the spring term; sophomores – 1.80 at the end of the fall term or 2.00 at the end of the spring term; juniors and seniors – 2.00 at the end of the fall or spring term. Probation is removed when the following minimum requirements are met during a term in a program of not less than 12 credit hours: freshman – 1.50 GPA for the term and a cumulative GPA of 1.80; sophomores – 1.50 GPA for the term and a cumulative GPA of 1.80 for the Fall term, and 2.00 GPA for the Spring; junior and seniors – 1.50 GPA for the term and a cumulative GPA of 2.00. A student on academic probation may have that status removed at the end of the summer session if he or she maintained a GPA of 1.50 during the previous term and has raised his or her cumulative GPA to the following prescribed levels: entering sophomore year, 1.80; entering junior year, 2.00; entering senior year, 2.00.

If a student is on academic probation for two consecutive terms, then the student’s case goes before the Academic Standing Committee. At this time the student is called into the ALAC and is asked to sign an academic contract in which the student agrees to adopt required academic behaviors (e.g. attend all lectures; do all assignments; visit the ALAC every other week). Noncompliance with this signed contract will result in dismissal.

7

Grading is based upon evaluation of course components such as homework assignments, examinations, oral presentations, and written reports. The instructor teaching the course does the evaluation and submits grades online into the Student Information System (SIS).

C. Transfer Students and Transfer Courses

Transfer students are an important part of the School of Engineering, as well as the entire Rensselaer community. Rensselaer has an excellent record of retaining and graduating transfer students. Each year, Rensselaer enrolls more than 200 transfer students from two-and four-year colleges in the United States as well as other countries. To be considered for transfer admission, a student should have earned at least 12 credit hours in the appropriate course work at another accredited college or university. Admission decisions are made by the Office of Transfer Admissions, which is part of the Undergraduate Admissions Office. The Assistant Director of Admissions has the responsibility of coordinating requirements and establishing transfer credit with the Associate Deans of the five Rensselaer schools. Transfer admissions decisions are made on a rolling basis. Files are reviewed when they are completed and notification is sent to the student. Once a student has been admitted, a comprehensive review process is undertaken to determine the appropriate transfer credits to be awarded. Based on a syllabus and/or catalog description for all courses taken at previous schools, the equivalent Rensselaer credit is determined by the department or program at Rensselaer offering a particular course, in consultation with the Assistant Director of Admissions. The report of transfer credit equivalence is then provided to the registrar’s office, which prepares a Curriculum, Advising, and Program Planning (CAPP) Report showing how transfer credits are being used to satisfy the major requirements and which courses still need to be taken. The CAPP report is also provided to the new transfer student’s advisor to assist in the development of a plan of study and the first semester registration process.

In order to earn a Rensselaer undergraduate degree, a student must be registered full-time (minimum of 12 credit hours per semester) for a minimum of four semesters and must complete a minimum of 64 credit hours at Rensselaer, all of which will be applied to the baccalaureate degree. Two semesters of part-time study at Rensselaer will be considered equivalent to one semester of full-time study. If a transfer student elects to study abroad in a program not affiliated with Rensselaer, no more than 16 credits may be transferred from that program. These credits will not be considered in the 64 credits which must be completed at Rensselaer. Students who participate in study-abroad programs that are affiliated with Rensselaer may count those transfer credits toward the 64 credits taken at Rensselaer.

Rensselaer requires a degree candidate to earn the last 30 credits in courses completed on this campus or through a program formally recognized by Rensselaer. Transfer courses are limited to two courses or eight credits counting towards the student’s last 30 credits and require the approval of the director of the Advising and Learning Assistance Center.

Admission of transfer students to an engineering program at Rensselaer is handled by Core Engineering in coordination with the department to which the student seeks admission.

8

Transfer students meet with the Associate Dean for Undergraduate Studies who reviews their transcripts and determines the credit transferability of prior course work.

Students graduating with an A.S. degree from a two-year or community college affiliated with Rensselaer may transfer at the end of two years with full junior status if accepted for admission to Rensselaer. Admission requirements are usually established through articulation agreements signed by officials at both schools. For those two-year colleges frequently supplying transfer students, the transfer credit review process has been automated to facilitate admission and registration.

It is not uncommon for a student originally admitted to one of the other four schools at Rensselaer (Architecture; Humanities, Arts and Social Sciences; Management; Science) to seek a transfer into the School of Engineering. Subject to individual evaluation, such transfers are welcomed. All such transfers must be approved by the Associate Engineering Dean for Academic Affairs. There are no rigid criteria; however, a review of the student’s academic performance at Rensselaer is discussed by the Associate Dean with the student, to determine the best course of action. As a general guideline, students should show overall good academic standing at Rensselaer and should have demonstrated at least a 3.0 Quality Point Average in math/science/engineering courses during the semester prior to the admission to Engineering.

There is a fifth category of students who transfer into the School of Engineering. That is a small group (about 60) of students admitted to Undecided General Studies (UNGS) as freshmen. These students have not yet determined their intended school at Rensselaer. By agreement with the Office of Undergraduate Admissions, such students are not admitted to UNGS unless they would have been qualified for admission to the School of Engineering. These students are given special guidance during the first year through ALAC. As a result, we have agreed to guarantee admission of these students to the School of Engineering anytime during the first year, as long as they are in good academic standing at Rensselaer. Approximately, half of these students choose the School of Engineering and another half chooses the School of Science, with small numbers moving on to the other three schools. All are required to enroll in one of the five schools, as Rensselaer does not have a “general studies” major.

D. Advising and Career Guidance

The Associate Dean for Undergraduate Studies in the School of Engineering is responsible for assigning academic advisors to all incoming freshmen. The majority of incoming freshman indicate a preference for a particular academic program, and at the time of entering will be assigned a faculty advisor from the department of interest. This is done in coordination with each department. In the BME department, the advising load of each tenured faculty is approximately 30-35 students and each tenure-track faculty has approximately 25 students for their first three years at Rensselaer. Incoming freshmen who do not declare a major will be assigned an initial advisor within the School of Engineering until they have declared a major – which must be done by the end of the fall term, sophomore

9 year – and then they will be assigned a new advisor. The faculty advisor from the student’s academic major program serves as the student’s principal advisor until graduation.

The Office of the Registrar ensures that each undergraduate student meets with an academic advisor at least once a year; this typically occurs during the spring semester. These meetings are documented through the Student Advisory Meeting (SAM) section within SIS, where the advisor needs to verify that the meeting with the student had taken place. A student who fails to meet the SAM requirement will not be able to register for new courses. Students are encouraged to meet with their advisors more often than once a year to discuss academic performance, progress towards graduation requirements, course loads, concentration choices, minors, dual majors, transfer credit, scheduling for co-ops or study abroad, request for references, and career choices.

Rensselaer offers additional services to support students and to enhance their academic performance. The Office of the First-Year Experience, ALAC, and FIP all provide various forms of supplemental academic and non-academic assistance to undergraduate students.

In addition to BME faculty advisors, the BME department has appointed an advising coordinator, a full-time position filled by a Professor of Practice. The advising coordinator serves in three capacities concerning student advising. First, the advising coordinator directly advises approximately 40 students, which includes most of the students who have transferred to Rensselaer as these students traditionally require more guidance. Second, when a new faculty member enters the BME department, the advising coordinator meets with and instructs the faculty member regarding the advising process. Third, the advising coordinator serves as the Degree Clearance Officer (DCO) of the department, certifying that undergraduate candidates have met the requirements for graduation. All students can meet with the advising coordinator for consultation in addition to the assigned faculty advisor. For instance, students who need to get courses approved taken as part of the study abroad program or who would like to coordinate a co-op opportunity with their course of study may want to consult with the advising coordinator.

Students may receive career guidance from their advisors as well as other organizations at Rensselaer. The Center for Career and Professional Development provides students with access to resources that will support career decision-making and career exploration, and provides experiences and opportunities to develop the skills necessary to conduct a successful job search. This includes summer, co-op, and full time jobs. The center also supports students’ efforts to locate away semester experiences as part of the Arch at Rensselaer. The Archer Center for Student Leadership Development provides leadership education. It enhances leadership skills through programs such as corporate training techniques, team development, effective communication, and ethical decision making. The Professional Development course sequence, required of all biomedical engineering students, is another way to enhance professional skills. These courses cover topics such as working in teams, public speaking, conflict resolution, styles of leadership, theories of leadership, and development of communication skills.

10

The formal advising process is supplemented by initiatives including advising support from the student chapter of the Biomedical Engineering Society. Designed to take advantage of both peer advising and faculty advising, these sessions provide an informal atmosphere during which upper level students discuss their experiences in various courses and offer perspectives on restricted elective selections. Faculty members use these sessions to discuss graduate program opportunities, international programs and co-op opportunities.

Beginning in 2016, the School of Engineering introduced the advising Hub to further improve advising throughout the school, especially during the first three semesters. The Hub is open 4.5 days a week and is staffed by full-time professional staff whose sole responsibility is student advising. Students are still assigned advisors in the department when they declare a major, however, the Hub is the first stop and serves as the students’ principal advisor in their first three semesters. Students in semesters 4-8 can still go to the Hub for advising, however, the primary advising responsibilities for them lies with their departmental advisors. The reason for this split is that students do not have to declare a major until their third semester and as such, providing advice independent of a department is necessary. At the same time, as students get closer to graduation, they have more specific career-related questions which are better handled by departmental advisors.

The BME department pioneered advising through the Hub in 2016/17 and all other departments joined the program in 2017/18. The Hub initially started out with three full time advisors which has since grown to five with an ultimate goal of seven full-time professional advisors.

Aside from changes made to student advising within the School of Engineering, the Institute has implemented a change by moving away from CAPP Reports and replacing them with reports in Degree Works in Fall 2018. This change was initially only done for new students, but was extended to all students currently in Spring 2019.

Student also receive nonacademic advice and help through their CLASS (Clustered Learning, Advocacy and Support for Students) Dean. CLASS (https://info.rpi.edu/class ) is a comprehensive approach to the student experience at Rensselaer. Through ongoing integrated support, guidance, and co-curricular activities, CLASS connects students to a network of faculty, staff, and other students, ensuring that they are a successful part of a strong community of learners.

11

E. Work in Lieu of Courses

The Biomedical Engineering Program does not have a provision to accept work in lieu of courses.

F. Graduation Requirements

The degree awarded at graduation is the Bachelor of Science in Biomedical Engineering. The graduation requirements can be found on the Department of Biomedical Engineering website (http://bme.rpi.edu/undergraduate). They are also entered into a student’s CAPP report which lists all requirements based on the catalog in effect in the year the student entered Rensselaer. This report can be viewed by the student, the student’s advisor, the degree clearance officer in the student’s department and personnel in the registrar’s office. The students and their advisors check CAPP reports throughout a student’s time at Rensselaer. As previously noted, a blank CAPP report is provided in Appendix F.

The graduation requirements listed in the CAPP report are organized by categories, including communication, math and physics, computer science, core engineering, required BME core courses, BME concentration courses, humanities and social sciences, and free electives.  Credit Hours: Completion of at least 128 semester hour credits with passing grades is required for the Bachelor of Science degree.  Grade Point Average: An overall grade point average of 2.00 is required for graduation.  Communication Intensive Course Requirements: A communication intensive course chosen from the list supplied by Humanities and Social Sciences must be taken. In addition, the Biomedical Engineering Senior Design course satisfies the BME major communication intensive requirement.  Math and Physics Requirement: Students must complete 20 credits of courses in Calculus I and II, Differential Equations and Physics I and II. Each course is 4 credits.  Computer Science Requirement: Students must complete a 1 credit introductory programming course. Note: student can take CSCI 1100 (4 credits) in place of CSCI 1190 (1 credit) but only 1 credit of CSCI 1100 will be used to satisfy the computer science requirement.  Core Engineering Requirements: Students must complete 19 credits of courses as follows: o Chemistry I – 4 credits o Introduction to Engineering Analysis – 4 credits o Introduction to Engineering Design- 4 credits o Modeling and Analysis of Uncertainty – 3 credits o Engineering Graphics and CAD or Engineering Communications – 1 credit o Professional Development (2 course sequence) – 3 credits  Required BME Core Courses: Students must complete 34 credits of courses as follows: o Introduction to Cell and Molecular Biology – 4 credits o Biomaterials Science and Engineering – 4 credits o Bioimaging and Bioinstrumentation – 4 credits

12

o Biomechanics – 4 credits o Modeling of Biomedical Systems – 4 credits o Bioengineering Lab – 4 credits o Advanced Systems Physiology – 4 credits o Biomedical Engineering Product Development and Commercialization – 3 credits o Biomedical Engineering Design – 3 credits  BME Concentration Course Requirement: Students must complete three courses in one of three concentrations, Biomaterials, Biomechanics, or Bioimaging/Instrumentation.  BME Technical Elective: Students choose two courses as technical electives from a list of approved courses. BME Technical Electives can be taken to either add depth to an existing concentration or to add breadth to the degree. Listings of the required courses in each concentration and the BME technical elective courses can be found in the undergraduate handbook downloadable from the departmental website or the Rensselaer Catalog.  Humanities and Social Sciences Requirements: Students must complete 22 credits (nominally 6 courses) in humanities and social sciences. At least two courses (8 credits) must be chosen from each of humanities and social science course offerings. One course (at least 2 credits) must satisfy the School of Engineering’s Professional Development II (PDII) requirement. No more than three courses can be at the 1000 level and no more than three courses can be pass/no credit. At least one 4 credit course must be at the 4000 level. A depth requirement must be satisfied where a student completes two 4-credit courses in the same humanities or social science subject area, where at least one course must be above the 1000 level, and where neither course is pass/no credit.  Free Elective Requirement: Twelve credits in any subject area or areas may be used to complete this requirement.

The Degree Clearance Officer (DCO) is appointed by each academic department at the request of the Registrar to establish a centralized administrative structure for degree oversight and clearance. In the BME department, the advising coordinator also serves as the DCO. The DCO ensures that all degree requirements are met and confirms waivers or substitutions for department-specific requirements.

The procedure to ensure that all graduation requirements are fulfilled is straight forward using the following steps:

1. The DCO in the BME department checks all CAPP reports for each potentially graduating senior 2 – 3 months before graduation. The DCO signs off on the CAPP reports at that time and notes any potential problems. The student is notified by the registrar’s office of any problems noted. 2. A few days before graduation, the DCO meets with a representative of the registrar’s office and examines each CAPP Report and signs off that all requirements have been met, including the GPA requirement.

13

G. Transcripts of Recent Graduates

Transcripts from recent graduates will be provided to the visiting team along with explanations of how the transcripts are to be interpreted. The transcripts will be selected according to the instructions provided by the EAC of ABET Team Chair. In addition, example CAPP reports, degree clearance forms, and any information needed for their interpretation will be provided.

14

CRITERION 2: PROGRAM EDUCATIONAL OBJECTIVES

A. Mission Statement

Rensselaer Polytechnic Institute (Rensselaer) was established in 1824 by Stephen Van Rensselaer “for the purpose of instructing persons … in the application of science to the common purposes of life.” Building on that tradition, Rensselaer’s mission today is “to educate the leaders of tomorrow for technologically based careers. We celebrate discovery, and the responsible application of technology, to create knowledge and global prosperity” (https://admissions.rpi.edu/undergraduate/). Rensselaer is committed to providing a superior undergraduate education by combining theory with experiential learning, grounded in fundamental scientific and technological concepts with an appreciation of the social forces that shape human history. Rensselaer will provide excellent programs distinguished by interactive pedagogies; partnerships with faculty in research, innovation, and entrepreneurship; and a campus culture that creates a lifelong relationship with Rensselaer.

The vision for Rensselaer’s School of Engineering is “to be a top tier school of engineering with global reach and global impact - committed to technological excellence by integrating research and education, and in educating for career success” (http://catalog.rpi.edu/preview_entity.php?catoid=18&ent_oid=979&returnto=440). The mission of Rensselaer’s Biomedical Engineering Department is “to educate the biomedical engineering leaders of tomorrow who will apply fundamental engineering principles to the responsible solution of problems in biology and medicine, to contribute to human disease management, and to bring engineering innovation and technology to the clinic while creating knowledge and enhancing global prosperity.” (http://bme.rpi.edu/accreditation)

B. Program Educational Objectives

The program educational objectives (PEOs) support the mission of Rensselaer and of the School of Engineering. They can be found by the general public at the department’s website (http://bme.rpi.edu/accreditation) and Rensselaer’s catalog. They are printed in the Biomedical Engineering Undergraduate Handbook (http://www.rpi.edu/dept/biomed/forms_handbooks/BME_Undergraduate_Handbook.pdf) and displayed at prominent places within the department. The PEOs for the biomedical engineering program are as follows:

Within five years of receipt of a baccalaureate degree graduates of the biomedical engineering program will:

1. Be engaged in professional practice in industry, academia, or government related to biomedical engineering; and/or 2. Have enrolled in an academic program pursuing a graduate, medical, law, business, or other professional post-graduate degree.

C. Consistency of the Program Educational Objectives with the Mission of the Institution

15

These BME PEOs focus on successful activities and achievements during the first career phase after graduating with a baccalaureate degree. We expect our graduates to show success either in the workforce or in a professional degree program. Thereby, our graduates will be on course of fulfilling Rensselaer’s mission, namely “to become the leaders of tomorrow, to celebrate discovery, to apply technology responsibly, and to create new knowledge and global prosperity.” The relationships between Rensselaer’s mission and the PEOs are given in Table 2-1. Checkmarks indicate a high degree of consistency.

Table 2-1: Relationship between BME PEOs and Rensselaer’s Mission

PEO #1 PEO #2

Be engaged in Have enrolled in an professional academic program practice in industry, pursuing a Rensselaer Mission academia or graduate, medical, government related law, business, or to biomedical other professional engineering post-graduate degree to become the leaders of tomorrow √ √

to celebrate discovery √ √

to apply technology responsibly √ √ to create new knowledge and √ √ global prosperity

D. Program Constituencies

The constituencies of the Biomedical Engineering Program at Rensselaer include:

 Alumni/ae  Employers/advisors from industry, academia, government  Current undergraduate students

Each of these constituencies is also a stakeholder in the biomedical engineering program. The alumni/ae are the graduates of our program and possibly best qualified and motivated to express their needs as well as to suggest changes and improvements. The employers/ advisors either seek to employ well-educated graduates or admit and advise students who have specific skills, capabilities, interests, and experiences. The current undergraduate students will benefit directly from a well-defined and well-executed educational program. They are motivated to express their needs and to provide useful feedback on the program’s

16

educational objectives. All of these constituencies are interested in the success and continued improvement of our BME program.

Each of our constituencies contributes to the review and revision of our program educational objectives either directly through surveys, questionnaires, visits, service on our external advisory council, and personal interactions with the department head and faculty or indirectly through professional societies and networks.

E. Process for Review of the Program Educational Objectives

The process of periodically reviewing and revising the Program Educational Objectives (PEOs) was first developed and approved by the BME faculty in fall 2001, and has been followed ever since. The review and revision process described in the following paragraphs is used.

As shown in Figure 2-1, key elements of the process are the constituencies, the input methods, and the review and revision steps. The goal is to ensure that the needs of our constituencies are acquired on a regular basis, deliberated within the BME program, and incorporated into BME program components (i.e. curriculum, syllabi, SOs, and PEOs).

PEO Review and Revision Process

Constituencies Input Methods Review & Decision

Alumni/ae Surveys Faculty Meetings Alumni/ae Senior Exit Surveys Undergraduate Students Graduate Placement Curriculum Committee Advisors from Data industry, Departmental External Advisory government, Retreats Committee discussion academia

Program Undergraduate Educational Student Curriculum Mission Objectives Outcomes Course Syllabi

BME Program

Figure 2-1: Processes for Review and Revision of Program Educational Objectives.

The input methods consist of four elements: senior exit surveys, alumni/ae surveys, graduate placement data, and external advisory council discussions. Each one is described in more detail below. 17

BME Alumni/ae Survey: The alumni/ae survey is sent out to all graduates three, four, and five years after graduation by the Office of Institutional Research and Assessment. The School of Engineering oversees the process of administering these surveys. Survey responses are collected and analyzed by Rensselaer’s Office of Institutional Research and Assessment. The Office then generates final reports that summarize responses, provide statistical analyses, and list selected individual feedback comments. The BME alumni/ae surveys are carried out annually.

BME Senior Exit Survey: The senior exit surveys are formalized into quantitative online questionnaires coordinated by the Associate Dean for Undergraduate Studies. These surveys are conducted annually.

Graduate Placement Data: Where our students go after graduation is considered an important piece of data for our program. Each year, Rensselaer’s Center for Career and Professional Development (CCPD) collects placement information immediately after graduation and distributes this information to relevant departments. Evaluating these files allows us to track the percentage of students that go into different areas, the companies that employ our students, and the professional or graduate schools where our students seek advanced degrees. We are specifically interested in how many students go into industry, professional schools, or graduate school. In addition, we try to evaluate the quality of the placements as a measure of program success. The graduate placement data supplements the employment/advanced degree information provided in the alumni/ae surveys.

External Advisory Council: The BME department has a formally established external advisory council consisting of alumni/ae and leaders from academia, government, industry, and hospitals. They meet on campus in the late spring of every year to provide input, discuss new developments in the field of biomedical engineering, and describe the needs of our constituencies from academia, industry, and government. Table 2-2 lists the current members of this committee:

18

Table 2-2: Members of the BME Advisory Council

Mr. Edward J. Arkans ‘75 Mr. Peter Latham ACI Medical, Inc. Latham BioPharm Group, Inc. 1857 Diamond St. 2 Clock Tower Place, Suite 440 San Marcos, CA 92069 Maynard, MA 01754

Dr. David Boas Dr. Kyongbum Lee Boston University Professor and Chair 44 Cummington Mall, Room 403 Chemical & Biological Engineering Boston, MA 02215 Tufts University Medford, MA, 02155 Mr. William Edelman ’78 Medical Device Industry Executive Dr. Joseph Mansour ‘75 2 Mann’s Hill Crescent Professor Emeritus Sharon, MA 02067 Mechanical and Aerospace Engineering Case Western Reserve University Dr. Arthur Erdman ‘71 Cleveland OH 44106 Director, Medical Devices Center Morse Alumni Distinguished Teaching Dr. George E. Mavko ‘74 Professor Intuition Perspective Insight Department of Mechanical Engineering 6050 E Fangio Place Univ. of Minnesota Tucson, AZ 85750

Mr. Paul FitzGerald Mr. Chris McDonnell ‘90 CT Systems & Applications Lab VP, Research and Development General Electric Corporate R&D Center PDI, Inc. 1 Research Circle Montvale, NJ 70645 Niskayuna, NY 12309 Mr. Richard Packer ‘80 Dr. Nadeem Ishaque ‘90 ZOLL Medical Corporation Chief Innovation Officer 269 Mill Road GE Healthcare Imaging Chelmsford, MA 01824-4105

Mr. Stuart Foster ‘72 Mr. Ajit Prabhu ‘98 Technology & Discovery CEO & Chairman Edwards Lifesciences Quality Engineering and Software 1 Edwards Way Technology Irvine, CA 92614 Singapore

Mr. Hooks K. Johnston, Jr. ’60 Dr. Harold Singer SVP Smith & Nephew (ret) Center for Cardiovascular Studies 16 Gloria St Albany Medical Center Newburyport, MA 01950 43 New Scotland Ave. Albany, NY 12208 Dr. Jayashree Kalpathy-Cramer ‘93 Building 149, Room 2301 Dr. Peter Torzilli ‘74 13th Street Hospital for Special Surgery Charlestown, MA 02129 New York, NY 10021

19

Dr. Robert V. Violante ‘61 1056 University Ave. Palo Alto, CA 94301-2236

Dr. Gordana Vunjak-Novakovic Mikati Foundation Professor of Biomedical Engineering and Medical Sciences Columbia University 622 West 168th Street, VC12-234 New York NY 10032

Dr. Sheldon Weinbaum ’59 The City College of New York Steinman Hall T-404B 160 Convent Ave. New York, NY 10031

Table 2-3 summarizes the schedules for obtaining input from our constituencies. The BME program uses an annual schedule as the Senior Exit and Alumni/ae surveys are sent out, monitored, collected, and analyzed annually by the Office of Institutional Research and Assessment. The summary reports provided by this office are then reviewed in regular faculty and committee meetings or retreats. The Center for Career and Professional Development provides graduate placement input in summary format. The support received from these offices minimizes the administrative burden of collecting input information from our constituencies and allows the program to collect and review input on an annual basis. Survey results, meeting minutes, and decisions are all documented and stored electronically in the BME department office. Aside from these formal methods for seeking input, the BMES student chapter at Rensselaer is involved in the periodic review of the program and is asked for feedback on changes to the curriculum. The department head meets with the BMES officers at least once a year and the BMES student chapter has been assigned a faculty liaison, most recently Dr. Deva Chan, who regularly interacts with the students and, among other things, seeks their input on matters involving the curriculum.

Table 2-3: Summary of Constituent Input to PEOs and Schedule

Constituencies Input Method Schedule Students Senior Exit Survey Every spring Alumni/ae Alumni/ae Survey Every fall Employers, External Advisory alumni/ae, Every spring Council discussions academic advisors Graduate Placement Graduating Seniors Every year Data

20

Recent Review and Revision of BME Program Educational Objectives

The PEOs for the BME program have been reviewed during the course of the last accreditation cycle and have been found to be still appropriate for the program. The PEOs were further reviewed by the faculty during a retreat in summer 2017 and at advisory council meetings (Spring 2017, 2019). For sake of completeness the current BME PEOs are restated below.

Within five years of receipt of a baccalaureate degree graduates of the biomedical engineering program will:

1. Be engaged in professional practice in industry, academia, or government related to biomedical engineering; and/or 2. Have enrolled in an academic program pursuing a graduate, medical, law, business, or other professional post-graduate degree.

21

CRITERION 3: STUDENT OUTCOMES

A. Student Outcomes

Throughout most of this review period, the Biomedical Engineering Program has sought to achieve the following student outcomes:

(a) an ability to apply knowledge of mathematics, science, and engineering

(b) an ability to design and conduct experiments, as well as to analyze and interpret data

(c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability

(d) an ability to function on multi-disciplinary teams

(e) an ability to identify, formulate, and solve engineering problems

(f) an understanding of professional and ethical responsibility

(g) an ability to communicate effectively

(h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

(i) a recognition of the need for, and an ability to engage in life-long learning

(j) a knowledge of contemporary issues

(k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

These outcomes were changed in December 2017 to match the new ABET accreditation criteria.

The new student outcomes are:

Students who successfully complete this Biomedical Engineering program will be able to demonstrate:

1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

3. an ability to communicate effectively with a range of audiences

22

4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

B. Relationship of Student Outcomes to Program Educational Objectives

The eleven original Student Outcomes (SOs) detailed above provide our students with the broad knowledge of technical principles and societal issues that are needed to reach the long- term program educational objectives for successful employment and/or continued professional education in the field of biomedical engineering. The relationship between each SO and our PEOs are given in Table 3-1. While each student outcome contributes in some form to the attainment of the program educational objectives, the degree to which they contribute is indicated by single or multiple check marks.

23

Table 3-1: Relationship between Student Outcomes and Program Educational Objective based upon original SOs (The degree to which each SO contributes to each PEO is indicated by single or multiple check marks)

PEO #1: PEO #2:

Be engaged in professional Have enrolled in an academic SOs practice in industry, academia or program pursuing a graduate, government related to biomedical medical, law, business, or other engineering professional post-graduate degree

(a)   (b)   (c)   (d)  (e)   (f)   (g)   (h)   (i)  (j)   (k)  

For the revised (2017) student outcomes this mapping is shown in Table 3-2.

Table 3-2: Relationship between Student Outcomes and Program Educational Objective based upon 2017 SOs (The degree to which each SO contributes to each PEO is indicated by single or multiple check marks)

PEO #1: PEO #2:

Be engaged in professional Have enrolled in an academic SOs practice in industry, academia or program pursuing a graduate, government related to biomedical medical, law, business, or other engineering professional post-graduate degree

(1)   (2)   (3)   (4)  

24

(5)   (6)   (7)  

25

CRITERION 4: CONTINUOUS IMPROVEMENT

A. Student Outcome Assessment

The BME Program has followed and applied continuous improvement processes for over a decade. While the processes have been modified and updated during this time, the fundamental mission of the program has remained the same: To educate the biomedical engineering leaders of tomorrow who will apply fundamental engineering principles to the responsible solution of problems in biology and medicine, to contribute to human disease management, and to bring engineering innovation and technology to the clinic while creating knowledge and enhancing global prosperity. We seek to prepare our students for successful careers in industry, government, or academia in biomedical engineering and to empower them as life-long learners.

Our overall continuous improvement process is shown schematically in Figure 4-1. The program stakeholders provide feedback and input through a broad spectrum of means which include direct measures of SO achievement by students, regularly scheduled annual surveys (alumni/ae survey, senior exit survey, senior design self-evaluations), periodic evaluations (co-op employer evaluations, outcome scoring), instructor observations, and unstructured student input.

Continuous Improvement Process

Input Methods Review & Decision Stakeholders

Alumni/ae Surveys ♦ Faculty Meetings Undergraduate Senior Exit Surveys ♦ Students Undergraduate Curriculum Senior Design Evaluations ♦ Committee Alumni/ae Co-op Employer Evaluations ○ Departmental Retreats Outcome Scoring ○

Student Program Undergraduate Educational Curriculum Mission Outcomes Objectives Course Syllabi

BME Program

Figure 4-1: Process for assessing and/or changing Student Outcomes (♦ assessment occurs every year, ○ assessment occurs every 2-3 years)

26

Results from these assessment methods are carefully studied, evaluated, and reviewed by the faculty (undergraduate curriculum committee, faculty meetings, and departmental retreats), and discussed with leaders from industry, academia, and government who serve on the departmental external advisory council. Final decisions on suggested changes are made by the faculty. Implementing this continuous improvement process may result in modifications to the undergraduate curriculum, course syllabi, or the overall mission of the program.

As detailed in Table 4-1, we use multiple methods and different schedules for assessing the attainment of Student Outcomes. These include both direct and indirect assessment methods. The indirect methods are based on alumni/ae surveys, senior exit surveys, senior design self- evaluations, and employer evaluations of BME co-op students. The direct method is based on scoring multiple aspects of each Student Outcome in several courses using results from specific (often highly tailored or specifically designed for this purpose) exam questions, homework assignments, lab tasks, or oral presentations. A more detailed description of the indirect and direct assessment methods follows below. It should be noted that the Student Outcomes that were in place for almost the entire review period are used for continuous improvement. The mapping of the old outcomes to the revised one is also presented in this section, but is not the focus of the continuous improvement.

Table 4-1: Assessment Methods and Frequency for each Student Outcome

SO Indirect Direct Student Outcome Alumni Senior Co-Op Senior Design Scoring in Selected Survey Survey Evaluation Self-Evaluation Courses Annual Annual Every 3 years Annual Biennual (a) √ √ √ √ √ (b) √ √ √ √ (c) √ √ √ (d) √ √ √ √ √ (e) √ √ √ √ √ (f) √ √ √ √ √ (g) √ √ √ √ √ (h) √ √ √ √ (i) √ √ √ √ √ (j) √ √ √ √ (k) √ √ √ √

Indirect Assessment Methods

The first tool for indirectly assessing SOs is our alumni/ae survey using a questionnaire specifically developed for our program. The alumni/ae survey is sent out to all graduates three, four, and five years after graduation by the Office of Institutional Research and Assessment. This office also collects and evaluates survey responses, and generates summary reports on an annual basis. Since fall 2011, these surveys are administered annually online, coordinated by the Associate Dean for Undergraduate Studies. In alumni/ae surveys,

27 alumni/ae were asked to quantitatively rate their attainment of SOs. The surveys were conducted to assess SO 3(a)-3(k) until 2018 and were modified for 2019 and beyond to assess SO 3.1.-3.7.

The second tool for indirectly assessing SOs are surveys of graduating seniors. These senior exit surveys are formalized into quantitative online questionnaires coordinated by the Associate Engineering Dean for Undergraduate Studies and are conducted annually. One of the questions of the survey is that students are asked to quantitatively rate their attainment of SOs. Similarly to the alumni surveys, the senior exit surveys focused on SO 3(a)-3(k) until 2018 and were modified for 2019 and beyond to assess SO 3.1.-3.7.

Approximately 10-12% of our undergraduate students participate in Rensselaer’s co-op program, which is administered through the Center for Career and Professional Development (CCPD). After completing the co-op internship, the co-op employer is required to fill out an online evaluation of the performance of each participant student. An example of this questionnaire is given in Appendix E. The questionnaire was designed and developed several decades ago (about 1970) and is uniformly used for all Rensselaer undergraduate engineering students. While the evaluation criteria are not directly linked to SOs, they are nonetheless well correlated and provide meaningful information. We use this information to gain additional assessment data for our SOs.

The fourth tool for indirectly assessing attainment of SOs are senior design self-evaluations that are conducted at the end of each semester through Digital Measures (https://provost.rpi.edu/learning-assessment/digital-measures). These evaluations seek to estimate student attainment of the primary outcomes for this capstone course. Specifically, students are requested to evaluate their attainment of the course-specific ABET outcomes at the time of course completion. The course BMED 4600 (Biomedical Engineering Design) has been selected for student self-assessment since students need to demonstrate the ability to integrate knowledge and skills from previous classes in order to successfully complete their design projects. Students were specifically asked to quantitatively rate their attainment of each of the SOs related to the capstone design course.

Indirect Assessment Results

The results of all indirect and direct assessment methods were rescaled to a 1 - 4 level scale (if needed), binning student performance as either: (1) Below Expectations, (2) Progressing Towards Attainment, (3) Satisfactory, and (4) Exceeds Expectations.

A particular Student Outcome was considered to be attained if at least two of the following three criteria were met:

1. At least 90% of students scored 2 or better 2. At least 65% of students scored 3 or better 3. The average student score was at least 2.5 (the minimum average score which would meet criteria 1 and 2)

28

Alumni/ae Surveys Alumni/ae were first asked to rate their attainment/ability in each of the SO areas. While alumni/ae surveys were conducted every year, a cycle is a two-year period, therefore scores used for assessment were computed by averaging over the two years. The alumni/ae survey results for all three cycles are summarized in Table 4-2.

Table 4-2: Alumni/ae Survey Results for 2014-2015, 2016-2017, and 2018-2019 (SOs highlighted in blue indicate a possible issue)

SO 2014-2015 2016-2017 2018-2019 % > % > % > % > % > % > Average Average Average Progressing Satisfactory Progressing Satisfactory Progressing Satisfactory (2) (3) (scale: 1-4) (scale: 1-4) (scale: 1-4)

(a) 95% 84% 3.2 99% 89% 3.4 97% 92% 3.1

(b) 96% 81% 3.2 98% 86% 3.3 98% 86% 3.1

(c) 84% 60% 2.7 90% 63% 2.8 94% 67% 2.8 (d) 96% 89% 3.3 95% 89% 3.4 97% 92% 3.4

(e) 95% 83% 3.1 98% 82% 3.2 95% 81% 3.0

(f) 96% 76% 3.1 98% 91% 3.4 94% 84% 3.1 (g) 86% 73% 3.0 92% 82% 3.2 97% 87% 3.2

(h) 88% 62% 2.8 89% 73% 3.0 94% 63% 2.8

(i) 94% 74% 3.2 96% 82% 3.3 98% 81% 3.2 (j) 79% 59% 2.6 91% 63% 2.8 94% 70% 2.8

(k) 93% 72% 3.0 92% 77% 3.0 92% 65% 2.7

In brief, alumni/ae reported satisfactory attainment of all SOs except for the following three SOs in 2014-2015: 1) SO(c) – ‘ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability’, 2) SO(h) – ‘the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context,’ and 3) SO(j) – ‘a knowledge of contemporary issues’.

Table 4-3: Alumni/ae Survey Results for 2014-2015, 2016-2017, and 2018-2019

2014-2015 2016-2017 2018-2019

% > % > Average% > % > Average% > % > Average Progressing Satisfactory Progressing Satisfactory Progressing Satisfactory (2) (3) (scale: 1-4)(2) (3) (scale: 1-4)(2) (3) (scale: 1-4)

(i) 100% 72% 3.0 100% 77% 3.16 94% 67% 2.8

(c) , (k) 100% 83% 3.3 99% 81% 3.28 94% 74% 3.0

(d) 100% 65% 3.0 99% 82% 3.23 100% 65% 2.9

(c) 100% 79% 3.1 100% 75% 3.15 94% 52% 2.5

(i) 97% 66% 2.8 98% 69% 3.03 100% 69% 2.9

29

In a separate portion of the alumni/ae survey, alumni/ae were also asked to rate their capabilities in certain areas against that of their non-RPI peers (Table 4-3). While the mapping of these evaluation criteria to our SOs is not perfect, there is a strong correlation to some of our SOs, as indicated in the second column of Table 4-3. Overall, alumni/ae reported positive outcomes. However, in the 2018 cycle, a concern regarding their ability to perform with respect to ‘engagement in the design of biomedical products, processes and systems within the context of ethical, societal, and environmental factors’ was noted. This particular area of concern mirrors SO(c).

Furthermore, alumni/ae were asked to score the importance of the SO (orange line) and their own level of preparedness or attainment of it (blue line) (Figure 4-2). With regard to the five skills highlighted in this figure, alumni/ae consistently rated their performance below that importance of the particular SO. The SO for which the gap between “importance” and “preparedness” was not closing or at least maintaining was SO(c).

Cumulatively, these results indicate SO(c), SO(h) and SO(j) as areas of concern. Our steps to improve these outcomes are described below in Section B: Continuous Improvement.

Figure 4-2: Summary of selected SOs from 2014-2018 Alumni Survey Results. Ideally, the level of “Preparedness” (blue) and the level of “Importance” (orange) should overlap.

Senior Exit Surveys Results for the spring 2014-2018 senior exit surveys are given in Table 4-4. Data were rescaled to a 1 - 4 scale and SO attainment was evaluated as in the alumni/ae surveys. The results indicate persistent (more than 1 cycle) concerns regarding attainment of 1) SO(c) – ‘ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability’, 2) SO(h) – ‘the broad education necessary to understand

30 the impact of engineering solutions in a global, economic, environmental, and societal context,’ 3) SO(j) -‘a knowledge of contemporary issues’, and 4) SO(k) –‘an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice’. Remaining areas of concern (SO(a) – ‘an ability to apply knowledge of mathematics, science, and engineering’ and SO(b) – ‘an ability to design and conduct experiments, as well as to analyze and interpret data’) were noted for only the 2016-2017 cycle. Steps are being taking to address these concerns as outlined in the following sections.

Table 4-4: Senior Exit Survey Results for 2014-2015, 2016-2017, and 2018-2019 (SOs highlighted in blue indicate a possible issue) SO 2014-2015 2016-2017 2018-2019 % > % > Average% > % > Average% > % > Average Progressing Satisfactory Progressing Satisfactory Progressing Satisfactory (2) (3) (scale: 1-4)(2) (3) (scale: 1-4)(2) (3) (scale: 1-4)

(a) 95% 84% 3.0 88% 64% 2.6 92% 68% 2.7 (b) 89% 76% 2.9 85% 68% 2.6 88% 64% 2.6

(c) 84% 70% 2.7 78% 53% 2.4 74% 45% 2.3 (d) 97% 84% 3.1 83% 65% 2.7 90% 80% 3.1

(e) 97% 92% 3.0 91% 66% 2.7 94% 72% 2.8 (f) 97% 89% 3.1 92% 69% 2.8 92% 78% 3.0 (g) 92% 76% 2.9 87% 69% 2.7 96% 90% 3.1

(h) 94% 81% 2.9 84% 49% 2.4 85% 60% 2.6

(i) 92% 73% 2.8 90% 67% 2.7 94% 77% 3.0 (j) 89% 73% 2.8 84% 49% 2.4 86% 61% 2.5

(k) 89% 65% 2.7 78% 55% 2.4 79% 62% 2.5

Further evaluation of these results on an annual basis (Figure 4-3) indicate that confidence in outcome attainment was at its lowest in 2016, and metrics in most SOs have been increasing since this time. The students graduating in 2016 were the first students graduating following institution of a number of curricular changes in 2012-2013. For instance, BMED 2300 - Bioimaging and Bioinstrumentation as well as MATH 2010 - Multivariable Calculus were made required courses for incoming students at that time. Based on student comments within the exit surveys, we believe the shift between 2015 and 2016 in exit survey assessment of SO evaluation reflects concerns regarding these changes in the curriculum; the increasing confidence in outcome attainment since then indicates that this may possibly have been a temporary concern.

31

Chart Title 3.50

3.00

2.50

2.00

1.50

1.00

0.50

0.00 (a) (b) (c) (d) (e) (f) (g) (h) (i) (j) (k)

2015 2016 2017 2018

Figure 4.3: Longitudinal trends for confidence of student outcome attainment as judged by senior exit surveys.

Senior Design Self-Evaluations Following senior design, students are asked to self-evaluate their attainment of several key SOs pertaining to Senior Design. Data were rescaled to a 1 - 4 scale and SO attainment was evaluated as in the alumni/ae surveys. Summary results, given in Table 4-5, indicate satisfactory attainment for each of these outcomes, except for SO (d) – ‘the ability to function in multidisciplinary teams’ where 2018-2019 metrics fell below desired criterion thresholds.

Steps being taken to address areas of concern based on the Senior Exit Survey and the Senior Design Self-Evaluations are detailed in Section B: Continuous Improvement.

Table 4-5: Senior Design Evaluations for 2014-2015, 2016-2017, and 2018-2019 SO 2014-2015 2016-2017 2018-2019 % > % > Average% > % > Average% > Average Progressing Satisfactory Progressing Satisfactory % > Satisfactory (2) (3) (scale: 1-4)(2) (3) (scale: 1-4)Progressing (2) (3) (scale: 1-4)

(a) 100% 100% 3.46 98% 85% 3.18 95% 89% 3.32

(c) 100% 100% 3.29 94% 85% 3.22 95% 79% 3.26 (d) 96% 86% 3.36 82% 66% 2.75 72% 61% 2.67

(e) 100% 100% 3.41 96% 90% 3.19 95% 84% 3.16 (f) 100% 100% 3.43 94% 76% 3.01 89% 84% 3.11 (g) 100% 100% 3.46 95% 88% 3.20 89% 79% 3.26 (i) 100% 86% 3.32 92% 69% 2.87 100% 86% 3.43

32

Co-op Employer Evaluations From 2014-2018, 59 BME undergraduate students participated in co-op internship programs at companies such as Alcon Laboratories, Edgewell, Regeneron, Johnson & Johnson, Becton Dickinson, Stryker, Merck, AngioDynamics, DePuy Synthes Mitek, Olympus Surgical Technologies, Bristol Myers-Squibb, and Medtronics as well as at research centers such as the Albany Medical Center and the US Department of Veterans Affairs.

Each mentor/employer was asked to fill out an online one-page evaluation form that scores student performance in nine different areas. The evaluation form is given in Appendix E. Table 4-6 gives average scores on a 1 - 4 scale, as used for the alumni/ae survey data assessments. While the mapping of these evaluation criteria to our SOs is not perfect, there is a strong correlation to some of our SOs, as indicated in the last column of Table 4-6. The target levels of attainment corresponded to average scores greater than or equal to 3.0 for each category. These goals were met or exceeded for each of the mapped outcomes.

Table 4-6: Co-op Employer Evaluation Scores Employer Evaluation of Student Performance Relative to Other Co-Op Students % > % > Average Associated Progressing Satistfactory (2) (3) (scale: 1-4) SO(s) Team Work (Works well with others, values diversity, and 100% 97% 3.6 (d) strives toward team goals) Attitude (Enthusiastic, positive and displays interest in work) 98% 97% 3.7 (i) Initiative (Self-motivated, diligent, and seeks additional work 100% 90% 3.5 (i), (d), (h) when necessary) Decision-Making (Evaluates options, displays maturity, and 100% 83% 3.3 (f), (h) demonstrates good judgment) Technical Skills (Proficient and adept in field of assigned 100% 83% 3.2 (a), (e), (k) responsibility) Leadership Qualities (Possess potential to lead and direct 100% 75% 3.1 (d) others) Communication (Can express self well to superiors and 100% 90% 3.3 (g) employees across all levels) Accomplishment of Objectives (Task oriented, persistent, 100% 88% 3.4 (f) and steadily works toward completion of tasks) Quality of Work (Takes pride in work; displays neatness, 100% 93% 3.5 (f) thoroughness, and accuracy)

Direct Assessment Method

Direct evaluation of outcomes is performed by scoring-focused coursework samples from specific core engineering and required BME courses. The course-outcome map that was in place until Fall 2018, and which will be used for this assessment, is given in Table 4-7. The rows of this table list undergraduate core engineering and required biomedical engineering courses while the columns list all Student Outcomes. A (red) check-mark (√) or a (black) “x” in a cell establishes the link between these two. The (red) check-mark indicates that the SO

33

of this column is assessed in this course, while a black “x” in a cell indicates that this course covers topics and materials supporting this SO, but no formal assessment is done.

Table 4-7: Relationship between Student Outcomes and Courses (Fall 2014- Fall 2018)

Course Title (a) (b) (c) (d) (e) (f) (g) (h) (i) (j) (k) ENGR 1100* Intro to Engineering Analysis √ √ x ENGR 2050* Intro to Engineering Design √ √ √ √ √ √ Modeling and Analysis of ENGR 2600* √ √ √ Uncertainty ENGR 4010* Professional Development III √ √ √ √ √ Biomaterials Science and BMED 2100 √ √ Engineering BMED 2540 Biomechanics √ √ BMED 2300 Bioimaging/Bioinstrumentation √ √ x BMED 4010 Bioengineering Lab x √ x √ x √ BMED 4200 Modeling of Biomedical Systems x √ √ Biomedical Product Development BMED 4260 √ √ √ √ and Commercialization BMED 4500 Advanced Systems Physiology BMED 4600 Biomedical Engineering Design x √ √ x x √ x x √ x √ A red checkmark indicates that this student outcome will be assessed X A black x indicates that the course addresses this student outcome, but there is no assessment Courses in blue fields are required engineering courses Courses in light blue fields are required biomedical engineering courses * Assessment uses disaggregated BMED specific data

For each Student Outcome to be assessed (red check-mark in Table 4-7) the course instructor identifies several specific tasks for scoring such as a particular exam questions, homework assignment, or some other performance task. The overall score for a specific SO is calculated from these individual scores. Scores are electronically stored in Digital Measures1.

1 Rensselaer Polytechnic Institute has extended an electronic acquisition system using Digital Measures (DM) for faculty activity reporting and archiving course evaluations, learning outcomes, and results from each state of the assessment loop across the entire Institute.

This system is designed support uniformity in documentation. Faculty are required to document all required fields needed to generate both Institute-standard course syllabi and ABET syllabi including learning outcomes and assessment measures planned. To further ensure uniformity in the process, each instructor completes a course assessment action form that summarizes the results of course-level assessments of learning outcomes.

Digital Measures is also used to document the mapping of learning outcomes to program-level student outcomes that, in turn, are mapped into school-level outcomes. Information from course assessment action forms that summarize the results of the course-level assessments of learning outcomes are translated into program-level assessments in each program which are then summarized to document all actions related to loop- closure in the assessment process.

34

It should be noted that BMED 4500 does not have a relationship to any of the SO as BMED 4500 is a human physiology course that exclusively has science, but no engineering, content. This is further illustrated by the course being taught by a pathologist from Albany Medical Center, Dr. Peter Vincent, who holds an adjunct appointment in the BME department. Furthermore, the labs of this course are conducted at the Albany Medical Center. However, BMED 4500 contributes significantly to the education of our students and satisfies several of the BME Program Criteria.

In late fall of 2017, the SOs were changed to adopt the newly implemented SOs by ABET, i.e. 3.1.-3.7. As such, the mapping between courses and student outcomes shown in Table 4-7 had to be revised. This revision was recommended by the ABET committee and then discussed and approved by the faculty at a faculty meeting in Spring 2018 to become effective that fall. In order to develop a new mapping, the suggested mapping from Table 4-8 was used as a starting point. These results where then discussed and fine-tuned at a faculty meeting.

Table 4-8: Changes in Criterion 3 - Student Outcomes

Old Language New Language EAC Criteria effective 2017-18 and 2018-19 Approved by the EAD Cycles October 20, 2017 Criterion 3. Student Outcomes Criterion 3. Student Outcomes The program must have documented student The program must have documented student outcomes that prepare graduates to attain the outcomes that support the program educational program educational objectives. objectives. Attainment of these outcomes prepares Student outcomes are outcomes (a) graduates to enter the professional practice of through (k) plus any additional engineering. outcomes that may be articulated by Student outcomes are outcomes (1) through (7), plus any additional outcomes that may be the program. articulated by the program. (a) an ability to apply knowledge of 1. an ability to identify, formulate, and solve mathematics, science, and engineering complex engineering problems by applying (e) an ability to identify, formulate, and solve principles of engineering, science, and engineering problems mathematics (b) an ability to design and conduct 6. an ability to develop and conduct appropriate experiments, as well as to analyze and experimentation, analyze and interpret data, and interpret data use engineering judgment to draw conclusions

Digital Measures serves as a repository for all materials and data are gathered in support of Rensselaer’s approach to student learning and assessment.

35

(c) an ability to design a system, component, 2. an ability to apply engineering design to produce or process to meet desired needs within solutions that meet specified needs with realistic constraints such as economic, consideration of public health, safety, and welfare, as environmental, social, political, ethical, health well as global, cultural, social, environmental, and and safety, manufacturability, and economic factors sustainability (d) an ability to function on multidisciplinary 5. an ability to function effectively on a team whose teams members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives (f) an understanding of professional and ethical 4. an ability to recognize ethical and professional responsibility responsibilities in engineering situations and make (h) the broad education necessary to informed judgments, which must consider the understand the impact of engineering impact of engineering solutions in global, economic, environmental, and societal contexts solutions in a global, economic, environmental, and societal context (j) a knowledge of contemporary issues

(g) an ability to communicate effectively 3. an ability to communicate effectively with a range of audiences (i) a recognition of the need for, and an 7. an ability to acquire and apply new knowledge ability to engage in life-long learning as needed, using appropriate learning strategies

(k) an ability to use the techniques, skills, Implied in 1, 2, and 6 and modern engineering tools necessary for

The revised mapping, which was approved by the faculty can be found in Table 4-9 below. It should be noted that this revised mapping is not used for continuous improvement purposes in this report to ensure consistency across the different continuous improvement cycles. However, this mapping is already part of the current syllabi (see Appendix) and will be used for continuous improvement in the future. Also, the new student outcomes 3.1.-3.7. have been used for the senior exit survey in Spring 2019.

Table 4-9: Relationship between Student Outcomes and Courses beginning Fall 2018

Course Title (3.1) (3.2) (3.3) (3.4) (3.5) (3.6) (3.7) ENGR 1100* Intro to Engineering Analysis √ ENGR 2050* Intro to Engineering Design x √ √ √ √ √ ENGR 2600* Modeling and Analysis of Uncertainty √ ENGR 4010* Professional Development III x √ √ √ BMED 2100 Biomaterials Science and Engineering √ x x BMED 2300 Bioimaging/Bioinstrumentation √ x BMED 2540 Biomechanics √ BMED 4010 Bioengineering Lab x x x √

36

BMED 4200 Modeling of Biomedical Systems x x √ Product Development and BMED 4260 √ √ √ Commercialization BMED 4500 Advanced Systems Physiology BMED 4600 Biomedical Engineering Design x √ √ √ √ √ √ A red checkmark indicates that this student outcome will be assessed X A black x indicates that the course addresses this student outcome, but there is no assessment Courses in blue fields are required engineering courses Courses in light blue fields are required biomedical engineering courses * Assessment uses disaggregated BMED specific data

Direct Assessment Results

The results of all indirect and direct assessment methods were rescaled to a 1 - 4 level scale (if needed), binning student performance as either: (1) Below Expectations, (2) Progressing Towards Attainment, (3) Satisfactory, and (4) Exceeds Expectations.

A particular Student Outcome was considered to be attained if at least two of the following three criteria were met:

1. At least 90% of students scored 2 or better 2. At least 65% of students scored 3 or better 3. The average student score was at least 2.5 (the minimum average score which would meet criteria 1 and 2)

Outcome Scoring Summary results from SO scoring in selected courses for the 2014-2015, 2016-2017, and 2018-2019 assessment cycles are shown in Table 4-10. As an example of the process using the performance criteria described above, the final assessment cycle indicated issues in SO(e) – ‘an ability to identify, formulate, and solve engineering problems in biomedical engineering’.

37

Table 4-10. Results of SO Scoring for 2014-2015, 2016-2017, and 2018-2019 data (SOs highlighted in blue indicate a possible issue)

Steps to correct and improve the student outcomes are described below.

Trends in Attainment of Student Outcomes In examining assessed Student Outcomes data, it is critical to be watchful for trends in attainment. Figure 4-4 summarizes SO average scores by direct assessment from 2014-2018. Overall, most SO average scores were maintained across time However, a downward trend exists for several outcomes, most notably SO(a), SO(e), SO (f), and SO(k). These trends indicate that we need to pay particular attention to outcomes SO(a), SO(e), and SO(f) and SO(k) in upcoming outcome scoring cycles to ensure that the downward trend is reversed.

Figure 4-4. Average scores for each Student Outcome in each of the past three outcome scoring cycles

38

B. Continuous Improvement

Available assessment data and results were evaluated annually by the program ABET coordinator and discussed in undergraduate curriculum committee meetings, faculty meetings, and faculty retreats. Curricular responses and changes have been prompted by new formal assessment data input as well as informal feedback from students, alumni/ae, and instructors. Each of these were carried out with the intent of identifying and addressing issues in the curriculum which required responses and for which the existing data provided a sufficient basis for discussion, decision, and action. More full data assessment was conducted following completion of each formal assessment cycle. Relatively minor issues (e.g. overlap between two courses) were resolved through informal discussions with individual faculty members. Issues that required action on the part of multiple faculty members, often associated with a concentration track, or which required broader faculty discussion were presented to the faculty at faculty meetings or retreats.

Table 4-11 summarizes the actions taken for each SO during the past three years as a result of our continuous improvement process.

Table 4-11: Summary of actions taken for each SO per Continuous Improvement. “U” = “unsatisfactory rating by at least two assessment method for that cycle”. “C”= “Unsatisfactory rating by one assessment method for that cycle”; “S” = “satisfactory rating by all assessment methods for that cycle”. “*” = persistent downward trend noted in at least one of the three temporal diagrams of SO attainment.

Assessment Cycle Trend 2014- 2016- 2018- SO Remedial Action Concern 2015 2017 2019 (a) * S C S Changes to core courses BMED 2540 and BMED 2300

(b) S S C Changes to core courses BMED 2540 and BMED 4010

Changes to core courses BMED 4010 and BMED 4200 (c) * C C U Changes to several track specific courses and popular technical electives

(d) S S C Coaching of team interactions is being refined in BMED 4600

(e) * S S C Changes to core courses BMED 4200 and BMED 2100, 2540, and 2300

(f) * S S S Actively monitoring

(g) S S S No action

Changes to BMED 4260 and BMED 2100, 2540, and 2300 (h) C C C Changes to several popular technical electives (i) S S S No action

Changes to BMED 4260 and BMED 2100, 2540, and 2300 (j) C C C Changes to several popular technical electives

39

Changes to core courses BMED 4200 and BMED 4010 (k) * S C C Changes to several track specific courses and popular technical electives Introduction of two new technical electives

As a result of these annual reviews following our continuous improvement process, several corrective action steps have been taken over the past five years. The following section summarizes some of these action steps and provides the motivation for and the outcomes of them.

======

Example 1

Basis: Results from the 2017 (2016-2017 cycle) senior surveys revealed concerns regarding SO(a). On review of outcome scoring, the 2016-2017 concerns could be traced to the Biomechanics track. Namely, despite the overall outcome scoring for SO(a) for 2016-2017 cycle meeting our success criteria, scores for SO(a) from BMED 2540 – Biomechanics were sub-par. The concerns appeared to arise from perceived ability to apply mathematical skills to biological and physiological problems.

Action: To address 2016-2017 cycle data, the core course BMED 2540 - Biomechanics – was modified in Fall 2017 to include an updated term project, which involves applying some background research and basic mechanics concepts learned in class to a student-generated computer model of healthy and damaged tissue. The Biomechanics track required-course BMED 4580 - Biomedical Fluid Mechanics was also revised in Fall 2017 to include detailed derivation of all formulas (Conservation of mass/ continuity equation and conservation of momentum/ Navier-Stokes equations, etc) starting from first principles, with an emphasis on assumptions and limitations as pertaining to biological problems.

Results: Concerns in the SO(a) in the Biomechanics area appeared to be addressed by the changes in biomechanics, as the 2018-2019 scoring outcomes for the Biomechanics area had risen to meet our success criterion. That said, a technical elective BMED 4280 - Biomechanics of Soft Tissues- was also introduced in Spring 2018 to enhance student ability to apply math and science to relevant physiological problems in biomechanics. However, effects of the changes made must continue to be monitored for both the Biomechanics and Bioimaging/Instrumentation tracks, in particular as a downward trend in SO(a) scoring has been noted (Figure 4-4).

======

Example 2

Basis: Results obtained from the 2014-2015 alumni/ae survey and the 2016-2017 and 2018- 2019 senior surveys indicated sub-par attainment of SO(c). Furthermore, the 2018-2019

40 outcome scoring noted concerns in SO(c). Based on further analysis and student comments, these concerns were traced to perceived challenges in applying design principles in broader contexts.

Action: Based on prior (previous ABET cycle) continuous improvement concerns in SO(c), BMED 4260 (Biomedical Product Development and Commercialization) was introduced as an elective course for existing students and as a required course for incoming students in Fall 2013 and as an elective course for those already enrolled. This course focuses on the marketing, societal, regulatory constraints on BME design problems. Based on 2014 cycle data, this course was revamped in Fall 2015 to deepen the design element of the course as well as increase the regulatory information to which students were exposed. In Fall 2017, BMED 4260 became officially required by all students as a pre-requisite for BMED 4600 (BME Design). This has allowed the senior design project - generally fit into a single semester in BMED 4600 – to be expanded over 2 semesters, allowing students greater time to practice and internalize the design process.

Results: According to 2018-2019 senior survey and outcome scoring results, concerns persist regarding the attainment of SO(c). Furthermore, a downward trend in SO(c) scoring was noted in Figure 4-4. In response, further design elements are being introduced into earlier required courses (BMED 2100, BMED 2540, BMED 2300) with the goal of having students repeatedly execute and improve their design process over time. For instance, BMED 2100 – Biomaterials Science and Engineering - has recently introduced a module in which students must develop a business plan for a new biomaterial.

======

Example 3

Basis: Results obtained from the 2016-2017 and 2018-2019 senior surveys indicated sub-par attainment of SO(k). Based on further analysis and student comments, these concerns were traced to their perceived ability to use computer tools for data analysis and interpretation of biomedical problems.

Action: Broad changes have been made in response to these concerns. In short, we have sought to increase student exposure both to data analysis and to computer tools for biomedical engineering. Based on student concerns noted during the 2008-2014 ABET review period, a statistics lecture combined with statistics software utilization was introduced into the required core course BMED 4010 – Biomedical Engineering Lab - in Fall 2015. Furthermore, a mandatory Labview graphical user interface assignment was introduced into BMED 4010 along with lectures demonstrating advanced functions of Excel. These lectures and assignments were further refined in 2016 based on the continued concerns noted in the 2015-2016 cycle. In 2016-2017, MATLAB training was enhanced in the core course BMED 4200 – Modeling in Biomedical Engineering - and in 2017, comprehensive examples of real life problems involving PDEs solved via coding were introduced.

41

Outside of these core course modifications, several track specific changes have been made to address concerns in SO(k) pertaining to data analysis and the use of computational tools and data analysis. For instance, changes to the Biomechanics track required course BMED 4580 - Biomedical Fluid Mechanics - were introduced in Spring 2018. Specifically this course was revised to include MATLAB examples (4-5 of them) to integrate main concepts and analyze materials discussed in class. The code and the results are discussed in class and different parameters are varied to examine their effects and test the models’ limitations. Furthermore, several changes have been made to popular technical electives to incorporate computational components. For instance, in BMED 4280: Biomechanics of Soft Tissues, required use of open source software FEBio for project was implemented for the course project. In BMED 4590 Medical Imaging, use of Python and open source libraries were introduced.

Result/Impact: Despite these measures, concerns in SO(k) continued to be noted in the 2018-2019 cycle. To address these continued concerns, we are implementing computational tools into the characterization modules of the required course BMED 2100 – Biomaterials Science and Engineering. In addition, starting Fall 2019 – a course on programming will be introduced to potentially replace the required core course CSCI 1190 (1 credit hour) with a more in depth 3 credit hour course. This course will incorporate C, C++ and incorporate programming specific to biological problems.

======

Example 4

Basis: Based on 2018-2019 senior survey results, SO(b) – ‘an ability to design and conduct experiments, as well as to analyze and interpret data’ - was listed as an area of concern.

Action: Due to faculty concerns regarding student ability to design and conduct experiments that were noted prior to 2018, the core course BMED 2540 – Biomechanics - was revised in Fall 2017 to include a class session in the BME teaching labs involving observation of biomechanical testing and discussion of the limitations of this testing. Based on the 2018- 2019 senior survey results, a module introduced in 2015 into the core course BMED 4010 – Biomedical Engineering Lab - on automated cell counting is being revamped. In this module, students compare side by side, cell counts as performed by hand using a hemocytometer versus counts performed with an automated cell counter. The image analysis process used by the automated counter is presented and the limitations of both manual and automated systems are discussed. The revised module will enhance design elements so that the students can step through and entire experimental design, execution, and data analysis process. Further changes pertaining to data analysis are included in Example 2 above.

Result/Impact: We will continue to monitor this outcome to assess efficacy of implemented changes.

======

42

Example 5

Basis: Concerns regarding the attainment SO(h) and SO(j) were noted from various sources for each assessment cycle. These scores combined with faculty feedback indicated that increased exposure of our students to contemporary societal, economic, and regulatory issues pertaining to BME was required.

Action: Based on prior concerns noted for SO(h) and SO(j) prior to 2014, BMED 4260 - Product Development and Commercialization - was introduced into our curriculum in Fall 2014. Initially, this course was an optional course for all students entering prior to 2014. A primary focus of this course was to allow focus on contemporary societal, economic and regulatory issues in bringing a BME technology/produce to market. Due to continued concerns in SO(h) and SO(j) in the 2014-2015 review cycle, BMED 4260 was heavily revised in 2015 to enhance the content geared towards contemporary regulatory issues. Following continued concerns in cycle 2016-2017, the required core course BMED 2100 – Biomaterials Science and Engineering - was revised to place greater emphasis on broader societal impacts and biomaterial-based device regulatory constraints. Changes were also made in several popular technical electives. For instance, in 2017, BMED 4650 – Introduction to Cell and Tissue Engineering - was revamped to include greater emphasis on societal and regulatory constraints.

Result/Impact: For the 2018-2019 cycle, continued issues in the attainment of SO(h) and SO(j) were noted. Careful consideration of these various results have led us to identify the following as the source of these combined issues: insufficient exposure to limitations/constraints of current biomedical engineering systems (such as MRI, 3D printing, various software packages) and how these limitations impact public health and society. We have therefore introduced new lectures into core course BMED 2300 – Bioimaging and Bioinstrumentation - regarding the limitations of current multimodality imaging systems in terms of assessing patient health/disease. The core course BMED 2100 – Biomaterials Science and Engineering - is increasingly incorporating characterization modules that can allow improved understanding of the limitations of various characterization modalities and the constraints these place on product quality assessment.

======

Example 6

Basis: Based on 2018-2019 SO scoring, SO(e) – ‘an ability to identify, formulate, and solve engineering problems’ - was identified as an area of concern.

Action: Based on these 2018-2019 scoring results as well as 2018 Advisory Council Feedback, we are in the process of refining open ended problem solving modules which – as noted above – have already been introduced into several of our core courses. For instance, in the core course BMED 4200 – Modeling of Biomedical Systems - comprehensive examples of open-ended real life problems involving PDEs solved via coding were introduced in 2017.

43

These are being revised to include extraneous information to force students to identify required quantities. Similarly, some required information will be absent from the problem statement, to force students to learn how to identify and search for required quantities.

Result/Impact: We will continue to monitor this outcome to assess efficacy of implemented changes.

======

The continuous evaluation of our assessment data as well as our assessment tools and processes is ongoing, as indicated throughout this section. We have made a number of improvements in our curriculum beyond that described above. For instance, we moved from track-specific electives to BME technical electives to allow students flexibility when taking newly introduced electives. Comments in the alumni/alumnae surveys have shown time and time again that some of our former students wished that they had more exposure to statistics and experimental design (or more generally that they had some skill set that they did not acquire). In order to address this, we introduced new elective course (BMED 4480: Biomedical Data Science and BMED 4470: Biostatistics). We also removed the track- specific requirement so that our students can take courses useful for them regardless if they are in their chosen track or not.

C. Additional Information

Copies of the Fall 2018 and Fall 2019 alumni/ae surveys and the Spring 2018 and Spring 2019 senior exit surveys can be found in Appendix E. The reason for supplying both the 2018 and the 2019 versions is that the surveys up until 2018 used the old SO 3(a)-3(k), which are used for this section, while the 2019 surveys assess the new SO 3.1.-3.7. All assessment methods as of the writing of this report are using the SO 3.1.-3.7. More detailed analyses will be provided during the ABET visit.

44

CRITERION 5: CURRICULUM

A. Program Curriculum

1. Curriculum

The current BME curriculum and its three concentration tracks are presented in Tables 5-1a- d below. Courses are offered on a semester basis. The first table describes the overall curriculum for BME students while the subsequent three tables describe the concentrations courses in each of the three BME tracks (Biomaterials, Biomechanics, and Bioimaging/Instrumentation) as well as the BME Technical Elective courses. It should be noted that the concentration is not noted on the diploma. The curriculum is published in the BME Undergraduate Student Handbook which can be found on the departmental website (http://www.rpi.edu/dept/biomed/forms_handbooks/BME_Undergraduate_Handbook.pdf) and in the Rensselaer catalog (http://catalog.rpi.edu/index.php). The curriculum is reviewed annually by the Undergraduate Curriculum Committee and revised with the approval of the full departmental faculty.

The BME curriculum meets the minimum overall 128 credit hours that the School of Engineering requires for bachelor of science degrees as well as the requirements for mathematics, basic sciences and engineering topics (see Table 5-1 for details).

BME students receive a solid mathematical foundation in four four-credit-hour mathematics courses MATH 1010 (Calculus I), MATH 1020 (Calculus II), MATH 2010 (Multivariable Calculus and Matrix Algebra), MATH 2400 (Introduction to Differential Equations), as well as in three four-credit-hour mathematically intensive engineering courses that introduce the fundamental methods of numerical and statistical analysis ENGR 1100 (Introduction to Engineering Analysis), ENGR 2050 (Introduction to Engineering Design), and ENGR 2600 (Modeling and Analysis of Uncertainty). The foundation in the basic sciences is provided by one year of physics with laboratory experience in PHYS 1100 (Physics I, 4 credits), PHYS 1200 (Physics II, 4 credits), one semester of chemistry in CHEM 1100 (Chemistry I, 4 credits) and one semester of biology BIOL 2120 (Introduction to Cell and Molecular Biology, 4 credits). The biology course includes classroom and laboratory experiences on living organisms. During the first two years, BME students also get introduced to the tools and techniques of engineering graphics in ENGR 1200 (Engineering Graphics and CAD, 1 credit), manufacturing processes in ENGR 1300 (Engineering Processes, 1 credit) as well as the development of solid engineering design models in ENGR 2050 (Introduction to Engineering Design, 4 credits).

Rensselaer requires that all undergraduate students complete a minimum of 24 credit hours within humanities, arts, and social sciences. Engineering students meet this requirement by taking a minimum of 8 credit hours of humanities, 8 credit hours of social sciences and a minimum of 2 credits for Professional Development II, chosen from an approved list. These courses cover additional humanities and social sciences topics. In addition, engineering students may choose up to 12 credit hours of unrestricted electives.

45

Table 5-1a Curriculum Biomedical Engineering Program

Indicate Subject Area (Credit Hours) Whether Course is Required, Elective or a Maximum Selected Engineering Last Two Terms Section Course Elective by an Topics the Course was Enrollment (Department, Number, Title) R, an E or an Check if Offered: for the Last Two List all courses in the program by term starting with the first SE.1 Math & Contains Year and, Terms the term of the first year and ending with the last term of the final Basic Significant General Semester, or Course was year. Sciences Design (√) Education Other Quarter Offered2 FALL FRESHMEN 240-Lecture CHEM 1100 Chemistry I R 4 F2018, S2019 62-Lab ENGR 1100 Intro to Engineering Analysis R 4† F2018, S2019 79 ENGR 1200 Engineering Graphics and CAD R 1√ F2018, S2019 45 148-Lecture MATH 1010 Calculus I R 4 F2018, S2019 17- Recitation Humanities or Social Science Elective E 4 SPRING FRESHMEN 194-Lecture BIOL 2120 Intro to Cell and Molecular Biology R 4 S2018, S2019 21-Lab ENGR 1300 Engineering Processes R 1 F2018, S2019 29 147-Lecture MATH 1020 Calculus II R 4 F2018, S2019 43-Recitation PHYS 1100 Physics I R 4 F2018, S2019 49 Humanities or Social Science Elective E 4

46

FALL SOPHOMORE CSCI 1190 Beg C Programming for Engineers R 1 F2018, S2019 46 305-Lecture ENGR 2050 Intro to Engineering Design R 3√ 1 F2018, S2019 26-Lab MATH 2010 Multivariable Calculus and Matrix 154-Lecture R 4 F2018, S2019 Algebra 38-Recitation 128-Lecture MATH 2400 Intro to Differential Equations R 4 F2018, S2019 34-Recitation PHYS 1200 Physics II R 4 F2018, S2019 55 SPRING SOPHOMORE BMED 2100 Biomaterials Science and Engineering R 4 F2018, S2019 49 BMED 2300 Bioimaging/Bioinstrumentation R 4 F2018, S2019 49 BMED 2540 Biomechanics R 4 F2018, S2019 51 ENGR 2600 Modeling and Analysis of Uncertainty R 1* 2 F2018, S2019 79 FALL JUNIOR BMED 4200 Modeling of Biomedical Systems R 4 F2018, S2019 46 Concentration I R/SE 4 Free Elective I E 3 Humanities or Social Science Elective E 4 SPRING JUNIOR BMED 4500 Advanced Systems Physiology R 4 F2018, S2019 62 Concentration II R/SE 4 Free Elective II E 3 Humanities or Social Science Elective E 4 Professional Development II R 2 F2018, S2019 36

47

FALL SENIOR 48-Lecture BMED 4010 Bioengineering Lab R 4√ F2018, S2019 12-Lab BMED 4260 Biomedical Product Development & R 3√ F2018, S2019 Commercialization 44 Concentration III R/SE 3 BME Technical Elective I SE 3 Free Elective III E 3 SPRING SENIOR BMED 4600 Biomedical Engineering Design R 3√ F2018, S2019 38 ENGR 4010 Professional Development III R 1 F2018, S2019 48 BME Technical Elective II SE 3 Free Elective IV E 3 Humanities or Social Science Elective E 4 TOTALS-ABET BASIC-LEVEL REQUIREMENTS 37 54 35 2 OVERALL TOTAL CREDIT HOURS FOR 128 COMPLETION OF THE PROGRAM PERCENT OF TOTAL > 29.2% >41.4%

Total must satisfy either credit Minimum Semester Credit Hours 30 Hours 45 Hours hours or percentage Minimum Percentage 25% 35.2 %

* 1-credit of ENGR-2600 Modeling and Analysis of Uncertainty is dedicated to statistics, probability distributions functions, and probability. † ENGR-1100 Introduction to Engineering Analysis dedicates 1-credit (~ 8 lectures) to the basics of linear equations and linear algebra. Degree programs such as BMED, which require MATH 2010 Multivariable Calculus and Matrix Algebra, do not apply this 1-credit of linear algebra from ENGR 1100 in their count of math and basic science because this material is covered in greater

1. Required courses are required of all students in the program, elective courses (often referred to as open or free electives) are optional for students, and selected elective courses are those for which students must take one or more courses from a specified group. 2. For courses that include multiple elements (lecture, laboratory, recitation, etc.), indicate the maximum enrollment in each element. For selected elective courses, indicate the maximum enrollment for each option. √ Course contains significant design.

48

Instructional materials and student work verifying compliance with ABET criteria for the categories indicated above will be required during the campus visit.

49

Table 5-1b Biomaterials Concentration Biomedical Engineering Program

Maximum Indicate Whether Last Two Terms Section Course Course is Required, the Course was Enrollment (Department, Number, Title) Elective or a Credit Hours Offered: for the Last List all courses in the program by term starting Selected Elective by Year and, Two Terms the with the first term of the first year and ending an R, an E or an SE Semester, or Course was with the last term of the final year. Quarter Offered2 Required Courses (Concentration I-III) ENGR 1600 Materials Science for Engr R 4 F2018,S2019 39 ENGR 2250 Thermal and Fluids Engr I R 4 F2018,S2019 75 MTLE 2100 Structure of Engr Materials R 4 F2018,S2019 52

Table 5-1c Biomechanics Concentration Biomedical Engineering Program

Maximum Indicate Whether Last Two Terms Section Course Course is Required, Credit Hours the Course was Enrollment (Department, Number, Title) Elective or a Offered: for the Last Two List all courses in the program by term starting Selected Elective by Year and, Terms the with the first term of the first year and ending an R, an E or an SE Semester, or Course was with the last term of the final year. Quarter Offered2 Required Courses (Concentration I-III) BMED 4540 Biomechanics II R 4 F2017, F2018 47 BMED 4580 Biomed Fluid Mechanics R 3 F2017, F2018 35 ENGR 2250 Thermal and Fluids Engr I R 4 F2017, S2018 66

50

Table 5-1d Bioimaging/Instrumentation Concentration Biomedical Engineering Program

Maximum Indicate Whether Last Two Terms Section Course Course is Required, Credit Hours the Course was Enrollment (Department, Number, Title) Elective or a Offered: for the Last Two List all courses in the program by term starting Selected Elective by Year and, Terms the with the first term of the first year and ending an R, an E or an SE Semester, or Course was with the last term of the final year. Quarter Offered2 Required Courses (Concentration I-III) ECSE 2010 Electric Circuits R 4 F2018, S2019 69 ECSE 2410 Signals and Systems R 4 F2018, S2019 77 ENGR 2350 Embedded Control R 3 F2018, S2019 73

Table 5-1e BME Technical Elective Courses Biomedical Engineering Program

Course Maximum Indicate Whether Last Two Terms Section (Department, Number, Title) List all courses in the program by term starting with the first term of the Course is Required, Credit Hours the Course was Enrollment first year and ending with the last term of the final year. Elective or a Offered: for the Last Two Selected Elective by Year and, Terms the an R, an E or an SE Semester, or Course was Quarter Offered2 BME Technical Elective Courses BMED 4280/6280 Biomechanics of Soft Tissue SE 3 S2018, S2019 24 BMED 4410/6410 BioMEMS SE 3 S2018, S2019 29 BMED 4420/6420 Clinical Orthopedics and Related Research SE 4 F2017, F2018 42 BMED 4440/6440 Biophotonics SE 3 S2018, S2019 14 BMED 4450/6450 Drug and Gene Delivery SE 3 F2016, F2018 55 BMED 4460/6460 Biological Image Analysis SE 3 S2018, S2019 21 BMED 4470/6470 Biostatistics for Life Science Applications SE 3 F2017, F2018 19 BMED 4480/6480 Biomedical Data Science SE 4 S2018, S2019 28 BMED 4510/6510 Mechanobiology (not offered every year) SE 3 S2016, S2018 46 BMED 4550/6550 Cell Biomechanics SE 3 F2017, F2018 18 BMED 4590/6590 Medical Imaging SE 3 F2017, F2018 19 BMED 4650/6650 Introduction to Cell and Tissue Engineering SE 3 S2018, S2019 33 BMED 4660/6660 Muscle Mechanics and Modeling SE 3 S2018, S2019 32 ECSE 4090 Mechatronics SE 3 F2017, F2018 19 ECSE 4480 Robotics I SE 3 F2017, F2018 14

51

ENGR 2300 Electronic Instrumentation SE 4 F2018, S2019 72 MANE 4030 Elements of Mechanical Design SE 4 F2018, S2019 140 MANE 4050 Modeling and Control of Dynamic Systems SE 4 89-Lecture F2018, S2019 22-Recitation MANE 4240 Introduction to Finite Elements SE 3 F2018, S2019 65 MANE 4670 Mechanical Behavior of Materials SE 3 F2017, F2018 34 MANE 6480 Health Physics and Medical Aspects of SE 3 S2016, S2018 10 Radiation (not offered every year) MTLE 4050 Introduction to Polymers SE 3 F2017, F2017 59 MTLE 4250 Mechanical Properties of Materials SE 4 S2017, S2018 16 MTLE 4470 Biology in Materials Science SE 3 S2017, S2018 30 MTLE 4720 Applied Mathematical Methods in Materials SE 3 F2018, F2019 14

All BME students take one introductory course in each of our concentration tracks. Specifically, they take BMED 2100 (Biomaterials Science and Engineering, 4 credits), BMED 2300 (Bioimaging and Bioinstrumentation, 4 credits), and BMED 2540 (Biomechanics, 4 credits). Building on these introductory biomedical engineering courses, as well as on the solid mathematical and basic science courses, each concentration track consists of three required courses (noted as R/SE in Tables 5.1b-d as the courses are required for a concentration, but the students get to choose their concentration). Furthermore, all students take two BME Technical Elective courses. The electives courses can be chosen as any of the courses shown in Table 5-1e or can be any BMED elective courses to allow students flexibility to take newly introduced elective courses. A more detailed description of each concentration track follows.

Biomaterials provides students with the opportunity to focus on the interaction between materials and living tissues at multiple levels (cellular, tissue, organ). Students receive a foundation in ENGR 1600 (Materials Science and Engineering, 4 credits), ENGR 2250 (Thermal and Fluids Engineering, 4 credits), and MTLE 2100 (Structure of Engineering Materials 4 credits). Two additional technical elective courses, shown in Table 5-1e, can be chosen from a list of about two dozen courses giving students some flexibility to follow their areas of interest.

Biomechanics is the application of mechanical principles to biological systems. The biomechanics concentration curriculum requires three foundational courses in ENGR 2250 (Thermal and Fluids Engineering, 4 credits), BMED 4580 (Biomedical Fluid Mechanics, 3 credits), and BMED 4540 (Biomechanics II, 4 credits). Two additional technical elective courses, shown in Table 5-1e, give students the flexibility to tailor their degree according to their areas of interest.

Bioimaging/Instrumentation is the application of electrical engineering principles to biomedical instrumentation and imaging problems. Three required engineering courses lay the foundation for this track: ECSE 2010 (Electric Circuits, 4 credits), ECSE 2410 (Signals and Systems, 4 credits), and ENGR 2350 (Embedded Control, 3 credits). Two additional elective courses, shown in Table 5-1e, provide further depth or breadth.

52

A list of which of the courses from Table 5-1e is recommended for which concentration can be found on the undergraduate student handbook. This, together with the flexibility to replace a course from the list with a new BMED elective course, allows students to tailor their degree plan to include more depth in a given area or more breadth about BME as a whole.

2. Alignment of Curriculum with Program Educational Objectives

Our two PEOs seek to prepare BME graduates for successful career paths in the field after graduation. The immediate first steps after the baccalaureate degree are typically either employment in industry and government or enrollment in an advanced degree program.

The relationship between our PEOs and our core courses is given in Table 5-2. While these core courses lay the foundation for engineering and biomedical engineering, each elective course taken thereafter further supports and deepens the skills required for successfully achieving each PEO. Table 5-2 demonstrates and undergirds the linkages between PEOs and core biomedical engineering course work.

53

Table 5-2: Relationship between required courses and PEOs

Core Courses PEOs

Engineering Core Courses #1 #2

ENGR 1100 Intro to Engr Analysis   ENGR 2050 Intro to Engr Design   Modeling and Analysis of ENGR 2600   Uncertainty ENGR 4010 Prof Development III  

BME Core Courses

BMED 2100 Biomaterials Sci and Engr   Bioimaging/ BMED 2300   Bioinstrumentation BMED 2540 Biomechanics   BMED 4010 Bioengineering Lab   BMED 4200 Mod of Biomed Systems   BME Product Development BMED 4260   & Commercialization BMED 4500 Adv Systems Physiology   Biomedical Engineering BMED 4600   Design

3. Attainment of Student Outcomes as supported by the Curriculum and its Associated Prerequisite Structure.

The curriculum is structured so that each Student Outcome is covered multiple times throughout the four-year long course of study. As shown in Table 4-2 and Table 4-3 (Relationship between Student Outcomes and Courses), most SOs are introduced during the first two years of study. They are reinforced in selected courses during the subsequent junior and senior years. The prerequisite structure was designed to assure that students will follow the prescribed curriculum order and will not be able to take courses out of sequence (unless an exception is granted by course instructor). This approach optimizes pedagogical impact and outcomes. Therefore, the design of our curriculum supports the attainment of SOs.

4. Prerequisite Structure.

Table 5-3 lists the prerequisites for BME program courses in four categories. The first category covers foundational courses in mathematics, biology, physics, and chemistry, the second and third one list the engineering and biomedical engineering core courses,

54

respectively, that are needed to succeed in subsequent courses. The final category lists the prerequisites for elective courses.

55

Table 5-3: Prerequisite Chart for BME Curriculum Courses

Course Prerequisite Biology, Math, Physics, Chemistry BIOL 2120 Cell and Molecular Biology None CHEM 1100 Chem I None MATH 1010 Calculus I None MATH 1020 Calculus II MATH 1010 MATH 2010 Mult. Var. Calculus and Mat Algebra MATH 1020 MATH 2400 Diff Equations MATH 1020 PHYS 1100 Physics I None PHYS 1200 Physics II PHYS 1100, co-req MATH 1020

Engineering Core Courses CSCI 1190 Beg Programming for Engr None ENGR 1100 Intro to Engr Analysis None ENGR 1200 Engr Graphics and CAD None ENGR 1300 Engr Processes None ENGR 1100 and either ENGR 1200 or ENGR ENGR 2050 Intro to Engr Design 1400, co-req PHYS 1200 ENGR 2600 Mod and Anal of Uncertainty MATH 1010 ENGR 4010 Prof Development III senior standing Prof Development II (see below) Choose 2 of about 30 courses

BME Core Courses BMED 2100 Biomaterials Sci and Engr None BMED 2300 Bioimaging/Bioinstrumentation PHYS 1200 BMED 2540 Biomechanics ENGR 1100 BMED 2100, BMED 2300, BMED 2540, co-req BMED 4010 Bioengineering Lab BMED 4200 BMED 4200 Mod of Biomed Systems MATH 2400, PHYS 1200, co-req CSCI 1190 BME Product Development & BMED 4260 ENGR 2050, Senior Standing Commercialization BMED 4500 Adv Systems Physiology BIOL 2120 BMED 4600 Biomedical Engineering Design BMED 4260

BME Concentration Courses BMED 4540 Biomechanics II BMED 2540 BMED 4580 Biomedical Fluid Mechanics ENGR 2250 ECSE 2010 Electric Circuits MATH 2400, PHYS 1200 ECSE 2410 Signals and Systems ECSE 2010 ENGR 1600 Mat Science for Engineers CHEM 1100

56

ENGR 2250 Thermals and Fluids Engineering I ENGR 1100, PHYS 1100, co-req MATH 2400 ENGR 2350 Embedded Control CSCI 1010 or CSCI 1100 or CSCI 1190 MTLE 2100 Structure of Engineering Materials ENGR 1600

BME Technical Elective Courses BMED 4280 Biomechanics of Soft Tissue BMED 2540 or ENGR 2530 BMED 4410 BioMEMS Junior or Senior standing BMED 4420 Clinical Orthopedics and Related BMED 4500 Research BMED 4440 Biophotonics PHYS 1200 BMED 4450 Drug and Gene Delivery BMED 2100 BMED 4460 Biological Image Analysis BMED 2300 BMED 4470 Biostatistics for Life Science MATH 2010 and ENGR 2600 Applications BMED 4480 Biomedical Data Science MATH 2010 and ENGR 2600 BMED 4510 Mechanobiology BMED 2540 BMED 4550 Cell Biomechanics BMED 2540 or ENGR 2530 BMED 4590 Medical Imaging BMED 2300 or approval of instructor BMED 4650 Introduction to Cell and Tissue ENGR 2250 and either BMED 2540 or ENGR Engineering 2530 BMED 4660 Muscle Mechanics and Modeling None ECSE 4090 Mechatronics ENGR 2350, ECSE 2410, and Senior standing ECSE 4480 Robotics I MATH 2400 and either MATH 2010 or ENGR 1100 ENGR 2300 Electronic Instrumentation PHYS 1200, co-req MATH 2400 MANE 4030 Elements of Mechanical Design MATH 2400, ENGR 2530 MANE 4050 Modeling and Control of Dynamic MATH 2400, PHYS 1200 Systems MANE 4240 Introduction to Finite Elements ENGR 2250 or ENGR 2530 or ECSE 4160 MANE 4670 Mechanical Behavior of Materials ENGR 2530 MANE 6480 Health Physics and Medical Aspects None of Radiation MTLE 4050 Introduction to Polymers None MTLE 4250 Mechanical Properties of Materials ENGR 1600, MTLE 2100 MTLE 4470 Biology in Materials Science ENGR 1600 MTLE 4720 Applied Mathematical Methods in MATH 2400, and access to Mathematica Materials

The list of courses that satisfy the School of Engineering’s requirement for Professional Development II can be found in this document: www.rpi.edu/dept/srfs/PDIICoverStatement2018.pdf

57

A graphical representation of the pre- and co-requisites for BME program courses is given next in Figure 5-1.

Figure 5-1: Flow chart of prequisites for required courses in the BME curriculum

5. Requirements in terms of hours and depth of study in each subject area

As described and shown in previous sections, our BME program exceeds the minimum credit hour requirements for a BS degree at Rensselaer Polytechnic Institute. Both the science and engineering minimum credit hour requirements in these two subject areas are met with any combination of core, elective concentration track courses, and BME technical elective courses. The remaining credit hours are taken in humanities, arts, and social sciences, as well as in technical electives. Our curriculum rigorously integrates biology with engineering to provide depth in biomedical engineering and breadth in a chosen concentration area. By incorporating laboratory experiments in many of our courses, our students experience directly the interaction of living with non-living systems, how to obtain data in such systems,

58

and how to apply statistical methods for properly interpreting these data. Thus, our curriculum supports the program criteria for biomedical engineering programs and prepares students for successful careers in this field.

6. Major Design Experience

While multiple courses in the BME curriculum cover various aspects of engineering design, the major design experience consists of the introductory design course ENGR 2050 (Introduction of Engineering Design, 4 credits) followed by the discipline-specific sequence of BMED 4260 (Biomedical Product Development and Commercialization, 3 credits) and BMED 4600 (Biomedical Engineering Design, 3 credits). ENGR 2050 focuses on team design and prototyping experience while the BMED 4260/4600 course sequence is a guided approach towards the development of design skills for biomedical engineering seniors. In particular the BMED courses provide students with practical experiences in multiple aspects of design and product development, including designs that meet device standards and are furthermore constrained by economical, societal, ethical, biomedical, or clinical conditions. These two courses encompass concepts and principles from earlier courses, such as ENGR 2050.

Students work individually and in teams to address biomedical design problems using methods drawn as necessary from engineering and from the physical and mathematical sciences. The course requires that students engage in teamwork to define needs and design devices or systems. Oral and written communication skills are emphasized in various reports and presentations throughout the semester. Students also develop strong written and oral presentation skills, as well as the ability to lead and/or contribute to multidisciplinary teams. Both skill sets are needed to succeed in industrial, academic, and clinical environments.

During the two semesters, students are introduced to general methods in engineering problem solving (e.g. brainstorming, mind mapping, decision matrices), product definition, identification of physical or biomedical constraints and specifications, regulatory considerations (including design controls), product development, intellectual property, and ethics in design. The students are also asked to identify and apply appropriate engineering standards and comply with relevant regulations as part of their design.

During the BMED 4260 semester, students are presented with open-ended design challenges that are solicited from a network of clinical practitioners ranging from surgeons to physical therapists. The course instructors evaluate the proposed design problems and adjust the scope of each project to broaden or narrow it appropriately based on what students can accomplish during the two semesters and use knowledge and skills developed in previous coursework. The projects and their descriptions are then compiled into a list. Students then indicate their top choice projects in a cover letter which is submitted along with their resume which highlights courses, skills, experiences and interests. The instructors then match students to projects based on skills and preferences.

Teams are formed of 4-6 students per project, depending on interests and experience. Each team is advised by a faculty member and an outside clinical expert. Student teams are

59

expected to establish domain expertise, develop specifications for their designs (design inputs), engineer details of their design solution (design output), and ultimately develop ideas into functional prototypes. Each team prepares progress reports and presentations during the two semesters to keep the clinical experts, faculty, and other student teams apprised of their progress.

Students meet four major milestones during the semester which are documented in written reports and oral presentations. (1) The “Product Design Specification” (PDS) document and presentation is a major milestone in the design process. In the PDS, students quantitatively and objectively define a comprehensive set of functions, constraints, and specifications related to their design. This includes appropriate standards and regulations which govern the design process and the means by which they will verify/validate design outputs meet design inputs. (2) The “Design Alternatives” document contains descriptions of the major conceptual design alternatives (potential solutions) to the problem which students are trying to solve. (3) The “Best Design Alternative” document is used to describe the chosen design alternative along with sub-systems and the preliminary engineering analysis used to refine design details. Included in the Best Design Alternative report is a decision matrix in which the students objectively evaluate their designs based on the specifications (design inputs) defined in the PDS. (4) The “Final Design Report” document summarizes the entire design effort from problem definition through final design details and prototype description. In the Final Design Report, students also evaluate their designs and validate to what extent the final product meets the design constraints defined in the PDS document.

Students also maintain a “Design History File” throughout the design process which encompasses all of their work on the project. This includes end-user interviews that drive user-defined needs, benchmarking of other products, market information, intellectual property constraints, research, and regulatory considerations.

Emphasis is placed on the successful development of a functional prototype. Final designs are presented by the students to the general public and alumni judges at the annual Design Showcase. At the conclusion of the Design Showcase, a “Best Design” award is given by alumni judges based on (1) innovation, (2) practicality, and (3) overall impact.

7. Co-op Program and Undergraduate Research Program (URP)

Biomedical Engineering students may participate in the co-op program organized by Rensselaer’s Career and Professional Development Center, but there are no provisions to use cooperative education to satisfy curricular requirements.

The Biomedical Engineering department has a very strong Undergraduate Research Program (URP). This is a program that allows students to work in a professor’s laboratory for credit or financial support. A student may earn one to four credit hours per semester for participating in the URP. The number of credit hours is negotiated with the faculty sponsor and these credits are entered into the transcript under “Independent Study.” On average, about 30% of a cohort class takes advantage of these opportunities during their time at Rensselaer.

60

8. Materials Available during Visit

Course syllabi, textbooks, samples of student work, examples of our continuous improvement process, meeting minutes, etc. will be available during the visit to demonstrate attainment of SOs.

B. Course Syllabi

Course syllabi for required mathematics, science, engineering, and biomedical engineering courses are given in Appendix A.

61

CRITERION 6: FACULTY

A. Faculty Qualifications

All BME tenured and tenure-track faculty members have expertise and experiences that together cover the full spectrum of courses offered by the BME program. While all faculty have ample advanced academic training, including postdoctoral training periods at the best research institutions in the world, several also have industrial and/or clinical experiences. The latter is particularly important for our students who plan to pursue careers in industry or clinical settings.

Faculty qualifications are listed in Table 6-1, and their biographical sketches are included in Appendix B. All BME faculty hold earned doctoral degrees from excellent programs in biomedical engineering or closely related fields. They maintain active sponsored research programs, publish regularly in scholarly journals, and attend national and international conferences. They are well qualified to deliver a broad spectrum of BME courses and their research programs and experiences relate directly to the program’s elective courses.

Many BME faculty members interact with biomedical engineering practitioners and employers of biomedical students through sponsored research projects, invited lectures, and consulting. In addition, they meet annually with members of the BME external advisory council whose members are selected to represent a broad spectrum of BME practitioners.

The BME department also has seven joint faculty with synergistic academic training and interests. Their primary appointments are in Biological Sciences (BIOL), Chemical and Biological Engineering (CBE), Chemistry (CHEM), and Mechanical, Aerospace, and Nuclear Engineering (MANE). Some joint faculty members cross-list their courses as BMED courses, making them available as electives for BME students. They also serve as research advisors to our students and mentors to our junior tenure-track faculty.

B. Faculty Workload

Table 6-2 provides a summary of BME faculty workload for the last two semesters. As in most research universities, faculty members have multiple responsibilities that include research, teaching, and service. Tenured and tenure-track faculty in biomedical engineering teach an average of 1 course per semester. During the first year of appointment, tenured and tenure-track faculty at all levels have no teaching obligation for one semester. Professors of Practice and Lecturers teach or perform services equivalent to 3 courses per semester for a full time appointment. Adjunct faculty members nominally teach 1 course per semester.

BME faculty members balance their active research programs with responsibilities related to advising students, teaching undergraduate and graduate courses, organizing seminars, mentoring student groups and chapters, serving on departmental, school or university committees, and engaging in professional societies.

62

Table 6-1. Faculty Qualifications

Biomedical Engineering Program

4 Years of Experience Level of Activity H, M, or L

2

1

Highest Degree Earned-

Faculty Name 3 Field and Year Rank Rank T, TT, NTT TT, T, (yrs) (yrs) Professional Professional Registration/ Registration/ industry Appointment Govt./Ind. Govt./Ind. mer work in work mer Type of Academic of Academic Type FT or PT or FT Professional Professional Teaching (yrs) Teaching Development Development Practice (yrs) (yrs) Practice Organizations Consulting/sum This Institution Institution This Ahmad Abu- Ph.D. – 2018 LEC NTT FT --- 1 1 None L M L Hakmeh Biomedical Engineering Ph.D. – 2014 Monica Agarwal LEC NTT FT --- 5 5 None L M L Biomedical Engineering Ph.D. – 2012 Deva Chan AST TT FT --- 3 3 None M H L Biomedical Engineering Ph.D. – 2001 David Corr ASC T FT 1.5 13 13 None H M L Mechanical Engineering Ph.D. – 1985 Stanley Dunn Computer Science, P T FT --- 34 12 None L M L Imaging Science Ph.D. - 2006 Ryan Gilbert P T FT --- 13 9 None H H L Biomedical Engineering Ph.D. – 2002 Juergen Hahn P T FT --- 16 7 None H H L Chemical Engineering Ph.D. – 2004 Mariah Hahn P T FT --- 14 7 None H M L Electrical Engineering Ph.D. – 1998 Xavier Intes P T FT 6 13 13 None H H L Physics Ph.D. – 2002 Uwe Kruger LEC NTT FT --- 17 4 None L M L Mechanical Engineering Eric Ledet Ph.D. – 2003 ASC T FT --- 16 16 None M M H

63

Biomedical Engineering Randall Ph.D. – 1987 LEC NTT FT 31 1 1 None L M L McFarlane Chemical Engineering Hisham Ph.D. – 2000 LEC NTT FT 15 4 4 None L M L Mohamed Biomedical Engineering Deanna Ph.D. – 2001 ASC T FT --- 15 15 None M M L Thompson Chemical Engineering Deepak Ph.D. – 1997 P T FT --- 20 20 None M M M Vashishth Biomedical Materials Ph.D. – 2007 Leo Wan ASC T FT --- 8 8 None H H L Biomedical Engineering Ph.D. – 1992 Ge Wang Electrical and Computer P T FT --- 26 6 None H H L Engineering Ph.D. – 2003 Xun Wang LEC NTT FT --- 16 3 None L M L Mechanical Engineering Ph.D. – 2006 Pingkun Yan Electrical and Computer AST TT FT 11 2 2 None M H L Engineering

Instructions: Complete table for each member of the faculty in the program. Add additional rows or use additional sheets if necessary. Updated information is to be provided at the time of the visit. 1. Code: P = Professor ASC = Associate Professor AST = Assistant Professor I = Instructor A = Adjunct LEC = Lecturer/Professor of Practice 2. Code: TT = Tenure-track T = Tenured NTT = Non Tenure-track 3. At Rensselaer 4. The level of activity, high, medium or low, was based on the 2018 workload and annual reviews

64

Table 6-2: Faculty Workload Summary

Biomedical Engineering Program

Program Activity Distribution3 Classes Taught (Course No./Credit Hrs.) % of Time Faculty PT Research Other4 Devoted Member or Term and Year2 or (name) FT1 Teaching to the 2018-2019 Scholar- Program5 ship ENGR 1100 (Intro. to Engineering Analysis) 4 cr. F2018 Ahmad Abu- ENGR 2050 (Intro to Eng. Design) 4 cr. F2018 – 2 sections FT ENGR 1100 (Intro. to Engineering Analysis) 4 cr. S2019 – 2 90% 0% 10% 100% Hakmeh sections ENGR 2600 (Mod. and Analysis of Uncertainty) 3 cr. S2019 Monica BMED 4010 (BME Laboratory) 3 cr. F2018 - 4 sections FT BMED 2100 (Biomaterials) 4 cr. S2019 90% 0% 10% 100% Agarwal BMED 4010 (BME Laboratory) 3 cr. S2019 - 3 sections Deva Chan FT BMED 4280 (Biomechanics of Soft Tissues) 3 cr. S2019 15% 75% 10% 100% BMED 4540 (Biomechanics II) 4 cr. F2018 David Corr FT BMED 4010 (BME Laboratory) 3 cr. S2019 45% 45% 10% 100% BMED 4660/6660 (Muscle Mech. and Modeling) 3 cr. S2019 Stanley Dunn FT ISYE 4140 (Statistical Analysis) 4 cr. F2018 15% 0% 85% 100% BMED 2100 (Biomaterials ) 4 cr. S2019 Ryan Gilbert FT 30% 60% 10% 100% BMED 4450/6450 (Drug and Gene Delivery) 3 cr. F2018 Juergen Hahn FT BMED 4200 (Modeling of Biomedical Systems) 4 cr. F2018 15% 35% 50% 100% Mariah Hahn FT BMED 2100 (Biomaterials) 4 cr. F2018 15% 75% 10% 100% BMED 2300 (Bioimaging/Bioinstrumentation) 4 cr. F2018 Xavier Intes FT 30% 60% 10% 100% BMED 4440/6440 (Biophotonics) 3 cr. S 2019 BMED 4200 (Modeling of Biomedical Systems) 4 cr. F2018 ENGR 2600 (Mod. and Analysis of Uncertainty) 3 cr. F2018 – Uwe Kruger FT 2 sections 75% 0% 25% 100% BMED 4200 (Modeling of Biomedical Systems) 3 cr. S2019 BMED 4480/6480 (Biomedical Data Science) 4 cr. S2019 BMED 4420/6420 (Clin. Ortho. and Rel. Res.) 4 cr. F2018 Eric Ledet FT 30% 60% 10% 100% BMED 4600 (Biomedical Eng. Design) 3 cr. S2019 Randall ENGR 2050 (Intro to Eng. Design) 4 cr. F2018 FT ENGR 2090 (Engineering Dynamics) 4 cr. F2018 – 2 sections 90% 0% 10% 100% McFarlane ENGR 2090 (Engineering Dynamics) 4 cr. S2019 – 3 sections BMED 4260 (BME Prod. Devel. & Comm.) 3 cr. F2018 BMED 4580/6580 (BME Fluid Mechanics) 3 cr. F2018 Hisham BMED 4600 (Biomedical Eng. Design) 3 cr. F2018 FT 90% 0% 10% 100% Mohamed BMED 2300 (Bioimaging/Bioinstrumentation) 4 cr. S2019 BMED 4260 (BME Prod. Devel. & Comm.) 3 cr. S2019 BMED 4600 (Biomedical Eng. Design) 3 cr. S2019 Deanna ENGR 2050 (Intro to Eng. Design) 4 cr. F2018 FT BMED 4410/6410 (BioMEMS) 3 cr. S2019 45% 45% 10% 100% Thompson BMED 4650/6650 (Intro to Cell and Tissue Eng) 3 cr. S2019 Deepak BMED 4510/6500 (Mechanobiology) 3 cr. S2018 FT 7.5% 42.5% 50% 100% Vashishth Teaches one course every other year as center director BMED 4550/6550 (Cell Biomechanics) 3 cr. F2018 Leo Wan FT 30% 60% 10% 100% BMED 2540 (Biomechanics) 4 cr. S2019

65

BMED 4590/6590 (Medical Imaging) 3 cr. F2018 Ge Wang FT 30% 60% 10% 100% BMED 2300 (Bioimaging/Bioninstrumentation) 4 cr. S2019 BMED 2540 (Biomechanics) 4 cr. F2018 BMED 4470/6470 (Biostatistics for Life Science) 3 cr. F2018 ENGR 2600 (Mod. and Analysis of Uncertainty) 3 cr. F2018 Xun Wang FT 90% 0% 10% 100% BMED 2540 (Biomechanics) 4 cr. S2019 ENGR 2600 (Mod. and Analysis of Uncertainty) 3 cr. S2019 – 2 sections BMED 4260 (BME Prod. Devel. & Comm.) 3 cr. F2018 Pingkun Yan FT 30% 60% 10% 100% BMED 44606460 (Bio. Image Analysis) 3 cr. S2019

1. FT = Full Time Faculty or PT = Part Time Faculty, at the institution 2. For the academic year for which the self-study is being prepared. 3. Program activity distribution should be in percent of effort in the program and should total 100%. 4. Indicate sabbatical leave, etc., under "Other." 5. Out of the total time employed at the institution.

The following table demonstrates how the expertise of our core and joint faculty are related to the three concentration tracks of the biomedical engineering program.

Table 6-3: Faculty Associated with BME and their Area(s) of Expertise

Bioimaging/ Name Biomaterials Biomechanics Instrumentation BME Core Tenured/Tenure-track Faculty Chan, Deva ✓ ✓ Corr, David ✓ ✓ Dunn, Stanley ✓ Gilbert, Ryan ✓ Hahn, Juergen ✓ ✓ Hahn, Mariah ✓ ✓ Intes, Xavier ✓ Ledet, Eric ✓ Thompson, Deanna ✓ ✓ Vashishth, Deepak ✓ ✓ Wan, Leo ✓ ✓ Wang, Ge ✓ Yan, Pingkun ✓

BME Core non-Tenured/Tenure-track Faculty Ahmad Abu- ✓ ✓ Hakmeh Agarwal, Monica ✓ ✓ Kruger, Uwe ✓

66

Randall McFarlane ✓ Mohamed, Hisham ✓ ✓

Wang, Xun ✓

BME Joint Faculty Cramer, Steven ✓ De, Suvranu ✓ ✓ Dordick, Jonathan ✓ Gross, Richard ✓ Linhardt, Robert ✓ Swank, Douglas ✓ Xu, George ✓

C. Faculty Size

The BME department has 13 full-time tenure-track/tenured faculty members, including the Dean of Graduate Education, Dr. Stanley Dunn, and the Director of the Center for Biotechnology and Interdisciplinary Studies, Dr. Deepak Vashishth, who both have significant administrative loads. Additionally, it has five full-time lecturers and one professor of practice all of who participate in student advising. The department is well balanced by faculty ranks. Of the 13 tenure-track/tenured faculty, seven are tenured full professors, four are tenured associate professors, and two tenure-track assistant professors.

With the exception of one BME faculty in a full-time administrative position, all tenured and tenure-track faculty are research active. Several of them have won national awards for their research work (including five NSF Career awards) and are fellows of professional societies (i.e. AIMBE, BMES, IEEE). They have also been recognized by the student body and the institution for excellence in teaching (i.e. Class of 1951 Excellence in Teaching Award, Trustees’ Outstanding Teacher Award, School of Engineering Classroom Excellence Award, Rensselaer Alumni Association Teaching Award). Teaching and use of innovative teaching tools in classroom and laboratory settings are taken very seriously. Graduate students serve as teaching assistants (TAs), for both lecture and lab courses, and they are all required to undergo TA training (hosted by the Office of Graduate Education).

D. Professional Development

National and international conferences in a variety of biomedical engineering areas serve as the primary way for BME faculty to develop professionally and to keep current with developments in the field. BME faculty members attend a number of conferences each year using travel funds from their research grants. The department may provide travel funds in cases where these funds are lacking and travel is necessary. All tenure-track faculty members are provided with generous start-up funds, which include travel funds for conferences.

67

Each tenure-track faculty member in biomedical engineering is also provided with a senior faculty mentor and the department funds a monthly mentor-mentee lunch. These meetings provide additional opportunities for professional development in a one-on-one setting. Both the staff and faculty are encouraged to attend workshops and seminars that are geared towards undergraduate curricula and innovation in teaching.

The Rensselaer Faculty Senate offers additional opportunities for faculty development by organizing peer-to-peer seminars on topics related to career development, advancing teaching and research skills, balancing life and career issues, and selecting proper mentors.

Additional professional development opportunities and programs are offered at Rensselaer through the Office of the Provost. The annual “Colloquium on Teaching and Learning” covers diverse topics such as studio-based learning, eLearning and MOOCs, social and professional networking, problem-based learning, learning styles, and emerging technologies for education. The Office of Institutional Research and Assessment provides materials and advice that support faculty in improving teaching skills, incorporating effective assessment methods into courses, and properly linking course materials with expected course learning outcomes.

E. Authority and Responsibility of Faculty

Tenured, tenure-track, and non-tenure-track biomedical engineering faculty teach courses that are assigned by the department head. Addition of new courses or changes in the course content must be first submitted by a faculty member to the BME-Undergraduate Curriculum Committee (BME-UCC). Such changes are reviewed by the BME-UCC. Upon BME-UCC approval, the course can be authorized by the department head, and then taught up to three times. Such a course receives a temporary number (BMED 49xx for undergraduate and BMED 69xx for graduate courses). After a new course has been taught three times, then an application for providing a course with a permanent number needs to be made. This application is submitted to the BME-UCC for review and approval. Based upon approval by the BME-UCC, this course addition is discussed and voted on by the BME faculty, and endorsed by the department head. Using student and instructor evaluations, as well as progress on course objectives, a case for addition/deletion is then made to the School of Engineering Curriculum Committee (SECC) and Rensselaer Polytechnic Institute Curriculum Committee. Upon successful completion of this process, a permanent number is assigned to the course and the course will be listed in the Rensselaer Catalog.

68

CRITERION 7: FACILITIES

A. Offices, Classrooms and Laboratories

A-1 Offices

The administrative office suite of the BME department is located on the 7th floor of the Jonsson Engineering Center (JEC). The suite provides space for the department head, two administrative assistants, and a small conference room. Outside and immediately adjacent to the suite are nine offices assigned to the BME department, one for the advising coordinator and DCO, three for the lecturers, one for the lab manager, and the remainder for departmental faculty. Very close to the office suite are two meeting spaces available for group meetings and teaching assistant office hours. There is also a separate copy and supply room. Faculty and graduate student offices are located on the 7th floor of JEC and the Center for Biotechnology and Interdisciplinary Studies (CBIS). All offices are spacious, heated and cooled appropriately, well lit, ergonomically furnished, and connected to Rensselaer’s Internet and phone services.

A-2 Classrooms Classrooms are assigned by Rensselaer’s Registrar according to class size and needs. The department prepares a list of courses to be offered during the following semester, the desired days/times, the technical equipment needed (such as LCD projectors or Ethernet connections), and the anticipated class size. If the Registrar’s classroom assignment turns out to be inadequate, they can usually be changed quickly. A-3 Laboratories Providing sufficient laboratory experiences for our undergraduate students is critically important to our program. While some laboratory experiences are included in introductory biology and engineering courses, the most important experiences are provided in the required course BMED 4010 (Bioengineering Lab), offered each semester. This course is taught in two adjacent rooms, the BME Teaching Lab, totaling 1,512 square feet in the Jonsson Engineering Center (JEC 5205 and JEC 5213). Additional expansion space is available across the hall in JEC 5214 for testing future experiments. Students perform six one-week experiments, a more comprehensive two-week experiment, and the Design Your Own Experiment (where they design, execute, and report back on a cumulative experiment). Both during the Design Your Own Experiment in BMED 4010 (Bioengineering Lab) as well as during the major design experience in BMED 4600 (Biomedical Engineering Design) students have access to School of Engineering laboratories. Specifically, students can utilize the JEC Student Machine Shop, the Design Lab, and the Manufacturing and Innovation Learning Lab (MILL) (for details see http://manufacturing.eng.rpi.edu/fabrication). The JEC Student Machine Shop and the Design Lab can be used to build design prototypes from projects in ENGR 2050 (Introduction to Engineering Design) to more complex senior design projects. The MILL gives our students the chance to prototype their designs on advanced manufacturing machines. An overview of equipment available in these laboratories is given in Appendix C. 69

The laboratory portion of BMED 4500 (Advanced Systems Physiology) is carried out at Albany Medical College, approximately 12 miles away from Rensselaer. These laboratories are also utilized by medical students, so the laboratory spaces are held to the standards of their regulatory body, the Accreditation Council for Continuing Medical Education. Approximately one third of our undergraduate students participate in the Undergraduate Research Program (URP) that is managed by the Office of Undergraduate Education (https://info.rpi.edu/undergraduate-research). This program provides real-world, hands-on research experience for undergraduate students by working directly with a faculty member on a bona fide research project. BME faculty laboratories where URP projects are carried out are located throughout JEC and CBIS. Students typically conduct research on cell culture, instrumentation development and testing, image processing and numerical analysis, musculoskeletal mechanics, tissue engineering, optics, cellular imaging, and other areas. More detailed descriptions of the individual faculty laboratories can be found in Appendix C. A-4 Laboratory Safety. Students’ safety while working in laboratories is an utmost priority. The most comprehensive laboratory safety instruction is provided in BMED 4010 (Bioengineering Lab)¸ a required course for all BME undergraduate students. Before the students begin working in the laboratory, they have two lectures on safety. The first lecture is on basic lab safety – including appropriate attire, various forms of Personal Protective Equipment (PPE), Good Lab Practices (with regards to hygiene), and emergency response procedures. The second lecture is Biosafety Jeopardy, which is given by Rensselaer Environmental Health and Safety personnel. Lecture slides, which are made available to students, engage the students, and get them to think about their own safety in the laboratory. The first time students come to lab, they are given a 5-minute safety quiz. For the quiz, they are allowed to walk about within the lab and hallway to locate the nearest safety shower, fire extinguisher, fire alarm pull box, Material Safety Data Sheets (MSDSs), and exits. Students are given access to the MSDSs in three locations: hard copies are available in the laboratory, the website http://hr.rpi.edu/page_396.html, and on the learning management system (BlackBoard, https://lms.rpi.edu/). In addition, the procedures for the experiments include required and suggested PPE. PPE available in the laboratory includes splash goggles, safety glasses, lab coats, nitrile gloves, and steel mesh gloves (for working with scalpels). In addition to the safety instructions provided in BMED 4010 (Bioengineering Lab), students are also encouraged to take an on-line course provided by the Office of Environmental Health and Safety. B. Computing Resources

The use of computing resources and advanced software packages is ubiquitous at Rensselaer. Ever since initiating the award-winning Mobile Computing Program more than a decade ago, all undergraduate students are required to have laptop computers with sufficient processing power and capability to connect wired or wirelessly to major computing resources on campus. Access to the network is campus-wide including all residence halls and eating facilities. With approximately 1,125 wireless access points across all buildings on campus, the students have access to the network almost everywhere.

70

For ease of support and to guarantee that students are using a common set of appropriate tools, each Mobile Computing Program laptop contains the following software:  Microsoft Windows 10 Education (64-bit)  Microsoft Office Professional 2016 (32-bit; 64-bit available for user installation)  Maplesoft Maple symbolic algebra program  Siemens NX CAD package

Software available for installation by all Rensselaer students is listed below, unless otherwise noted the latest versions are available. Other course specific software is made available to students upon faculty request.  Abaqus  Maple  Altair HyperWorks 2017  Mathematica  Aspen  Matlab  Bentley Software Suite  Office365  ANSYS CFD  Siemens NX  GeoStudio  SecureCRT  LabVIEW  SolidWorks 2017 SP3.0  Logger Pro  Windows 10 Education  MapInfo V11.0

There are 156 public workstations in classrooms and labs across campus. Some of the larger public workstation areas are located in the Voorhees Computing Center, Folsom Library, and the Pittsburgh Building. Many of these sites are open 24 hours a day and weekends.

The BME Teaching Laboratory on the 5th floor of JEC holds two laptops (purchased S2013) and thirteen desktops (updated on a rolling basis, with the most recent purchased F2017). Depending upon the computer’s role within the laboratory, they are equipped with some of the following programs:

 LabView 2016 TA Instruments Rheometer,  Microsoft Office Suite 2016 Gen5 for BioTek plate readers,  Image Pro Premier v9.2 BioCapture/Lab Course Teaching  ImageJ System for the Great Lakes  Equipment-specific software (i.e. Neurotechnology BioRadios, Bluehill for Instron, TRIOS for DeskCAT, etc.

C. Guidance

In the BME Teaching Lab, students are guided by written procedures, and supervised by TAs, the laboratory manager, and the faculty member(s) teaching the course. In addition, the laboratory manager is available for instructional assistance with various pieces of equipment and techniques outside of BME Teaching Lab. For each laboratory session, there are a

71

maximum of 12 students present (4 groups of 3 students) with 1-2 TAs and the laboratory manager where the course instructor is overseeing the experiments. Each lab procedure identifies certain ‘checkpoints’ where the students have to interact with the TA/instructor to be sure they are on the right path. The TA/laboratory manager/instructor circulate through the groups to ensure that they are following the instructions in a safe manner. In addition, the students have a lecture on biosafety and a general lab-safety lecture and SkillPort training on Laboratory Safety at Rensselaer (1 hour), Rensselaer Manufacturing and Prototyping Laboratories - Safety Orientation (1 hour), and Biosafety at Rensselaer (1 hour).

D. Maintenance and Upgrading of Facilities

The laboratory manager conducts regular maintenance of laboratory equipment and schedules necessary maintenance of larger equipment by outside providers. Equipment found to be functioning poorly is repaired or replaced. Small upgrades are made in consultation with course instructors as needed. With respect to large items (capital equipment), the department is asked annually if there are needs for upgrading current equipment or purchasing new equipment. In consultation with the department head, the laboratory manager prepares a list of laboratory upgrades, prioritizing the replacement of obsolete equipment and the addition of new equipment consistent with contemporary industry and academic research labs. These requests are reviewed by the School of Engineering with appropriate funds granted. In addition to departmental expenditures supporting these facilities, the department has seen significant support from the School of Engineering with new purchases totaling approx. $400k since the last ABET review. A summary of these expenditures are listed as follows:

FY18 (approx. $45k)  purchase of Plasma Cleaning Chamber (Harrick Plasma, $8.5k)  purchase of Type I water system (Millipore, $6k)  purchase of thin film grips for Instron 5543 (Instron, $5.5k)  installation of 26 networking connections and wi-fi access point ($5.5k)  purchase of four computers, monitors, and arm mounts (Dell, $5k)  purchase of 75” UHD display with computer (LG/Dell, $5k)  purchase of new lab benches and worktops ($3.5k)  purchase of Image Pro Premier 9.3 upgrade (Media Cybernetics, $3k)  assorted other purchases (new pipetters, water bath, etc., $3k)

FY17 (approx. $6k)  purchase of Countess II automated cell counter ($2.5k)  purchase of arctangle loading posts (Flexcell ($1.5k)  assorted other purchases (replacement microscope light guides, thermocouples, microphone, etc. , $2k)  completion of equipment installation/renovations from FY16

FY16 (approx. $345k)

72

 purchase of Instron 5966 Load Frame with additional torsion package (torsion drive + biaxial load cell), 3- & 4- point bending fixtures, expansion box with strain gage cards, debris shield, etc. (Instron, $107.5k)  purchase of Discovery HR-2 Rheometer, software, environmental test chamber, tensile grips, and tribology accessories (TA Instruments, $75k)  purchase of AVE 2 video extensometer system for Instron 5543 allowing full field strain mapping (Instron, $46k)  renovations to existing lab space and to newly added lab space in JEC 5214 (~$35k)  purchase of Flexcell 5000T system w/ computer (Flexcell, $26.5k)  purchase of educational optical CT scanner + software (DeskCAT, $19k)  purchase of four new BioRadio systems (Great Lakes Neurotechnologies, $12.5k)  purchase of EPOCH plate reader (BioTek, $7.5k)  purchase of Bluehill 3 upgrade for Instron 5543 including software, hardware, and new computer (Instron, $5.5k)  assorted other purchases (computers for major equipment above, electrical upgrades, new lab benches, etc., $10k)

FY15 (approx. $4k)  purchase of UV transilluminator ($1k)  purchase of SPOT 5.2 software upgrade for microscope ($600)  assorted other purchases (printer, shelving systems, lab tables, tools, etc, ($2.5k)

Along with the listed equipment, the laboratory manager has prioritized infrastructure improvements (new/reconfigured lab benches, computers mounted on arms above work surfaces, network access, etc.) which allow an enhanced student experience, efficient and open work spaces, and additional room for expansion. Further, Rensselaer and the School of Engineering have been supportive in the BME department’s efforts to improve the students’ experience in BMED 4010 (Bioengineering Lab), allowing for smaller student groups while working in the laboratory and smaller class sizes in the lecture hall. Finally, a new instructional laboratory space has been added to the teaching lab facility (approx. 50% added space) providing additional room for growth of the program including new areas for testing, fume hoods, and a fridge/freezer room.

73

E. Library Services

The Rensselaer Libraries support Rensselaer’s educational and research endeavors by providing access to needed scholarly content. Complementary to this, the Libraries provide learning and social spaces aimed at enabling learning and discovery and offer online, as well as personal, consultation and group instruction on information resources.

The library has integrated many electronic resources into its offering, such as research databases and digital music libraries. The library is also one of 1250 federal depository libraries in the United States, and maintains an up-to-date archive of thousands of federal documents open to the public. As of 2018, over 458,260,999 resources are available online or in the Folsom Library to faculty, staff, and researchers at Rensselaer Polytechnic Institute including over seven million books and eight million trade publications. A Collection Development Team meets weekly to review electronic resource usage statistics and make renewal, cancellation and new subscription decisions.

The needs of Rensselaer’s programs, faculty, researchers and students are met through a structured, organized, and transparent approach toward purchasing new books, providing excellent access to library resources, both on-line as well as on-premises, and obtaining books through interlibrary loan. Access to a comprehensive set of professional journals and the online catalog is provided either electronically through the Library’s web interface RensSearch (http://library.rpi.edu/setup.do) or directly at the library facility.

Rensselaer’s Libraries interact with faculty members through two committees, the Rensselaer Library Advisory Committee and the Departmental Faculty Library Liaisons. Dr. Randall McFarlane is the current faculty representative for the BME department. The Liaison Committee meets in the fall and spring semester to provide update on the latest library news and projects. Departmental representatives submit requests for purchasing new books or subscribing to journals on a regular basis.

F. Overall Comments on Facilities

The Bioengineering laboratory supervisor, BME faculty, teaching assistants, and School of Engineering personnel make every effort so that BME and School of Engineering laboratories and computing resources are utilized in a safe and proper manner. These efforts include appropriate training before any work is conducted. Furthermore, appropriate use of facilities is monitored and students who fail to follow appropriate practices will not be allowed to continue using the facilities. Lastly, facilities and equipment are kept up to date by the same people and personnel in order to optimize students’ experiences.

74

CRITERION 8: INSTITUTIONAL SUPPORT

A. Leadership

The Rensselaer School of Engineering leadership hierarchy consists of the Dean Dr. Shekhar Garde, the Associate Dean for Undergraduate Studies Dr. Kurt Anderson, the Associate Dean for Research and Graduate Programs Dr. Liping Huang, and the Associate Dean for Academic Affairs Dr. Matthew Oehlschlaeger. Each department within the School of Engineering is led by a department head, in the case of Biomedical Engineering the Department Head is Dr. Juergen Hahn. The department head meets with the Dean on a bi- weekly basis to discuss decisions that affect the department. The department head in Biomedical Engineering is supported by the Graduate Program Director Dr. Leo Wan, the Chair of the Undergraduate Curriculum Committee Dr. Eric Ledet, and the Advising Coordinator and Degree Clearance Officer Dr. Uwe Kruger.

B. Program Budget and Financial Support

The budget for the BME department is determined by the School of Engineering, and is based on input from the department, historical data, and the priorities outlined in the Rensselaer Plan, the School of Engineering Performance Plan, and the BME department Performance Plan. Over the past five years, the BME department has experienced a net increase of 4.5 non-tenure-track/non-tenured faculty members, which has been a very desirable development as the program has concurrently experienced an increase in undergraduate enrollment from 391 to 431.

The School of Engineering provides a “general support” lump sum for all non-salary expenses, which covers items such as laboratory costs, telephone, photocopying, and travel. Although the department’s internal budgeting tends to follow historical precedents, the department head makes ad hoc decisions each year as to how these monies are distributed among undergraduate educational needs and other departmental needs. In all cases, undergraduate education is given the highest priority. The BME department expenditures for the last four fiscal years are given in Table 8-1.

Table 8-1: Support expenditures for BME department.

Fiscal year 2016 2017 2018 2019 Expenditure category Operations (not including staff) $7,698 $8,136 $6,914 $5,894 Travel $23,634 $20,425 $17,585 $20,478 Equipment/Supplies $65,677 $49,084 $76,987 $64,277 Gifts and Endowment Income $53,979 $59,967 $54,657 $61,259 Capital Equipment/Facilities $0 $344,324 $16,136 $0 Graduate Teaching Assistants $1,098,900 $1,242,850 $1,314,000 $1,888,750 (tuition and stipend) Total $1,346,896 $1,802,432 $1,587,765 $2,131,307

75

Rensselaer provides a large number of teaching assistant positions to the college which are then distributed among the individual departments based upon enrollment and teaching load. The BME department has seen its number of TA allocations remain at a very high level and in 2018, a total of 17 TA positions were allocated to the BME department. This number allows us to assign 0.5-1 TAs for each section of core undergraduate classes and some TAs for elective courses with high enrollments. This significantly increases the ability of TAs to address the individual needs of the undergraduate students. It also increases the interactions between students and TAs.

C. Staffing

Three full-time staff members and one half-time staff member current support the department. The two full-time administrative staff members are Ms. Mary Foti and Ms. Kristen Bryk who hold the positions of administrative coordinator and administrative specialist, respectively. Both staff members are involved in the undergraduate program. Their duties include: maintaining student databases; facilitating course scheduling; maintaining records of course syllabi and course evaluations; communicating curricular changes to students in a timely manner; maintaining faculty files for biographical sketches, faculty activity sheets, and department head’s annual evaluations; and writing meeting minutes. Mr. Brian Gambacorta holds the half-time position of business administrator. His responsibilities include budgeting, forecasting, purchase orders, travel expense reports, and similar business- related departmental activities.

The third staff member is Mr. Stephen Kalista who serves as a laboratory manager and also handles safety inspections for the labs located in the Jonsson Engineering Center.

Advising: Advising is handled by the faculty where each tenure-track faculty member advises 25 undergraduate students, which it increased to 35 advisees after promotion to associate professor and reaches approximately 40 advisees at the rank of professor. The professors of practice (Dr. Uwe Kruger) serves as advising coordinator and DCO and advises approximately 40 undergraduate students. Additionally, he helps to standardize advising practices in the department, including training of new faculty on curricular requirements for undergraduates. He is available to advise all BME students, and works with the registrar's office to keep CAPP reports current.

As indicated in section 1.D, though BME students always have a faculty member as an academic advisor, five full-time professional advising staff in the Student Services Hub serve as the student principal advisor through the first half of the sophomore year. Though, these Hub advising staff serve as the first point of contact with respect to freshman and sophomore advising needs, students are always free to obtain advice from their faculty advisor.

Rensselaer Support Staff: Rensselaer provides support staff at multiple levels. Financial matters for the department are handled by Mr. Brian Gambacorta, while most financial matters for research grants are handled by support staff in research centers that faculty members are affiliated with. The School of Engineering has an IT support team in addition to

76

what the Institute provides. Very specialized staff for certain types of equipment are commonly provided by research centers. Most notably, over half the faculty are housed in the Center for Biotechnology and Interdisciplinary Studies (CBIS), and CBIS has its own staff for administrating research grants, providing support and management services for common core facilities.

The Office of Human Resources offers a variety of staff training opportunities. Methods for retention of staff include merit raises, adjustment of a staff position in terms of duties and salary, but also many benefits provided by Rensselaer. These include generous health care and retirement packages, as well as a 75% reduction in tuition for dependents attending Rensselaer.

D. Faculty Hiring and Retention

The department submits a performance plan annually which outlines goals and the resources required to attain these goals. One component of the performance plan is a request for faculty positions. The School of Engineering reviews the performance plan and allocates faculty positions to individual departments based upon needs identified in the departmental performance plan. If new positions are allocated to the BME department, the department head initiates a formal faculty search and establishes a faculty search committee.

The faculty position to be filled is broadly advertised, including in appropriate journals and on the department’s web site. The faculty search committee meets on a regular basis, usually weekly, to review the applications and makes decisions for which applications to pursue and to request reference letters. When a list of finalists has been determined, then these finalists are discussed at a faculty meeting before any candidates are invited. The faculty candidates will be invited to visit campus for 1-2 days and meet with most of the faculty, the department head, and also the Dean of Engineering. Written feedback is solicited from the faculty after the visit, including evaluations of the faculty candidates’ potential for teaching, research, and service. The School of Engineering has a Compact for Diversity document which also includes a sample of the evaluation forms used for these purposes. The feedback from the faculty is summarized by the faculty search committee and passed on to the department head with a recommendation. The department head makes a hiring decision after evaluating the feedback summaries of all candidates. The negotiations about start-up packages are conducted between the department head and the faculty candidate.

The department has several options available for retaining current faculty. These include salary adjustments (requested by the department head but needs to be approved by Rensselaer), allocation of additional resources from the departmental budget, student support in the form of teaching assistantships, or increased/upgrades in laboratory space. One example that has been used in the past is that the department has paid for computer upgrades for faculty on a regular basis. Another example is that the teaching and service assignments of each faculty over a period of several years are reviewed periodically to ensure that no faculty member is given time intensive assignments for several years in a row.

E. Support of Faculty Professional Development

77

Rensselaer offers professional development opportunities for faculty. Faculty may request sabbatical leaves for purposes of professional development through study, research, scholarly activity or experience in government, industry, universities or consulting. Sabbaticals can be taken in one of two forms: (i) Leave for one semester, with half salary, may be given upon completion of six consecutive semesters of service; (ii) Leave of two semesters with half salary, or one semester with full salary, may be given upon completion of twelve semesters of service. All requests for sabbatical leave require the approval of the department head, the Dean, and the Provost.

Newly hired faculty members receive travel budgets in their start-up packages, and many travel to professional conferences at least once during each academic year, sponsored by Rensselaer or extramural research grants. Most faculty members have research grants, which provide funding for travel to conferences and opportunities to collaborate with colleagues. Additionally, funds are available for students to travel to conferences as long as they present at the conference. Some faculty members receive partial summer salary support from Rensselaer so that they can develop new courses, pursue research plans, or participate in other activities of Rensselaer. In addition, many faculty members with research grants receive summer support from their grants.

78

PROGRAM CRITERIA

The 2018-2019 ABET EAC document requires that biomedical engineering programs meet additional curriculum-specific Program Criteria. Specifically,

“The structure of the curriculum must provide both breadth and depth across the range of engineering and science topics consistent with the program educational objectives and student outcomes. The curriculum must prepare graduates with experience in: (a) Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics; (b) Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems; (c) Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes; and (d) Making measurements on and interpreting data from living systems.”

Our BME curriculum, guided by our program educational objectives and student outcomes, provides both breadth and depth in biomedical engineering to our students. The curriculum seeks to educate students (a) to conduct biomedical research or design biomedical products, processes, and systems that integrate engineering and the life sciences, and (b) to create knowledge or to develop new technologies with impact on human health and well-being. We believe that our graduates have the solid foundational knowledge in mathematics, science, engineering, and the life sciences as well as in-depth knowledge in a biomedical engineering concentration area to function successfully in professional practice or in a graduate or professional degree-granting program.

The biomedical engineering program prepares graduates to have an understanding of biology and physiology and other natural sciences and to apply this knowledge to solve biomedical engineering problems, to analyze and design devices, systems, and components, and to make measurements on and interpreting data from living systems. While the overall curriculum is shown in Table 5-1, Table 9-1 delineates how specific required core courses address and fulfill biomedical engineering program criteria. Furthermore, Table 9-2 includes some specific examples of how these biomedical engineering program criteria are addressed. Fundamental knowledge in biology and is provided in BIOL 2120 (Introduction to Cell and Molecular Biology) and knowledge about physiology is reinforced in BMED 4500 (Advanced Systems Physiology) and connected with mathematical methods and tools. This combined body of knowledge is further enhanced in other BME required and elective courses. Thus, building on sufficient courses in science, engineering, and mathematics, biomedical engineering students learn how to apply these methods to biomedical problems within living and non-living systems.

Table 9-1: Relationship between Biomedical Engineering Program Criteria and Required Courses

79

Course Title 9.a 9.b 9.c 9.d ENGR 1100 Intro to Engineering Analysis x ENGR 2050 Intro to Engineering Design x x ENGR 2600 Modeling and Analysis of Uncertainty x ENGR 4010 Professional Development III BMED 2100 Biomaterials Science and Engineering x BMED 2300 Bioimaging/Bioinstrumentation x x BMED 2540 Biomechanics x x BMED 4010 Bioengineering Lab x x BMED 4200 Modeling of Biomedical Systems x x x BMED 4260 Product Development and Commercialization x BMED 4500 Advanced Systems Physiology x x x BMED 4600 Biomedical Engineering Design x x x An x indicates that the course addresses this BME program criterion Courses in blue fields are required engineering courses Courses in light blue fields are required biomedical engineering courses

Table 9-2 provides further details on lab and design experiments in required BME courses that reinforce the understanding of how living and non-living systems interact with each other to form exquisitely complex systems. For instance, BMED 2300 (Bioimaging/Bioinstrumentation) covers topics from the acquisition and monitoring of vital physiological signals to the principles of multiple diagnostic imaging modalities. Special attention is paid to the interaction between sensor or imaging devices with tissues and organs, both from a patient

Table 9-2: Examples from required core courses that address BME Program Criteria

Program Criteria Core Courses Topic areas a. Applying principles BIOL 2120 (Intro to Lectures and laboratory exercises of engineering, Cell and Molecular introducing current concepts in molecular biology, human Biology) and cellular biology. physiology, chemistry, calculus- based physics, Engineering methodologies applied to BMED 4500 (Advanced mathematics entire physiological systems and their Systems Physiology) (through differential interactions. equations) and statistics. b. Solving Interface problems between biomedical BMED 2100 bio/biomedical implants and body reactions are studied (Biomaterials) engineering and analyzed.

80

problems, including BMED 2300 Application of mathematics and those associated (Bioimaging/ engineering to analyze introductory with the interaction Bioinstrumentation) bioimaging and biosensor problems. between living and Introduction to statistical methods applied BMED 4010 non-living systems. to biomedical measurements and (Bioengineering Lab) problems. c. Analyzing, Advanced mathematical and BMED 4200 (Modeling modeling, designing, computational methods applied to of Biomedical Systems) and realizing modeling physiological systems. bio/biomedical Biomedical design problems at the BMED 4600 engineering devices, interface of engineering and (Biomedical systems, biology/physiology, employing Engineering Design) components, or mathematical analysis and synthesis

processes. methods. d. Making Lab experiments include ECG, EMG, measurements on bone stress and strain, membrane BMED 4010 and interpreting data transport, soft tissue measurements. (Bioengineering Lab) from living systems. Students can propose and design their own experiments. Biomedical systems analysis methods that BMED 4200 (Modeling include the consideration of problems of Biomedical Systems) derived from the interaction of living and non-living systems. Large animal experiment with BMED 4500 (Advanced measurements and data analysis from Systems Physiology) major organ systems. safety as well as from a measurement and data acquisition point of view. In addition to two required core courses, courses in each concentration track provide ample examples of how engineering knowledge, methods, and techniques can lead to a deeper understanding of these complex systems.

BMED 4500 (Advanced Systems Physiology) is a unique course that includes lectures and laboratory sessions. Students are instructed by faculty members from Albany Medical College (AMC, http://www.amc.edu). For lectures, AMC faculty come to RPI. For the laboratory sessions, Rensselaer students are bused to AMC. Experiments include an electrocardiography experiment, cardiovascular computer simulation, computer simulation of respiratory gas exchange, computer simulation of respiratory mechanics, and control of blood pressure and cardiac arrhythmias (animal lab).

In BMED 4010 (Bioengineering Lab) all students receive hands-on practical experiences in carrying out biomedical experiments addressing measurement methods, data acquisition, signal processing, and data interpretation within each concentration track. The course begins with one- week experiments such as acquiring unfiltered and filtered ECG signals from human subjects under resting and exercise conditions or measuring the transport characteristics of bovine endothelial cells grown on a permeable membrane in response to chemical, electrical, and

81

mechanical stimulation. Two week experiments are more in depth and require two laboratory periods to complete. For example, one two-week experiment, “Cell Strain Analysis,” involves culturing Mouse Dermal Fibroblasts on a flexible membrane, and subjecting them to in vitro mechanical stimulation (utilizing a FlexCell© system). After a week of culture, students fix, permeabilize, stain, and image the cells, and then examine the effect of mechanical stimulation on cell alignment and viability. Another two-week experiment, “Electromyography”, has the students collect electromyographic data from several scenarios: isometric and dynamic contraction of the bicep, and dominant vs. non-dominant hand/arm gripping. Students analyze and visualize the resulting waveforms using Excel tools. The course concludes with “Design Your Own Experiment” labs. Students are provided with a problem statement, design and execute their experiments based on the equipment/procedures learned during the one and two- week experiments, and then write a formal lab report. Examples of such experiments include “Designing an Artificial ACL,” “Hydrogels for Spinal Injuries,” or “External Fracture Fixation of Chicken Bone.”

Student Exit Surveys and Alumni/ae Surveys include specific questions about our program criteria. Survey results from the past six years indicate that students and graduates feel they have a good understanding of biology and physiology in the context of professional practice or seeking advanced degrees.

82

Appendix A – Course Syllabi

Course Number and Name: BMED 2100, Biomaterials Science and Engineering

Credits and Contact Hours: 4 credits, 4 contact hours/week

Instructor and Coordinator: Mariah Hahn, Professor, BMED, CBIS 2121

Textbook(s): Biomaterials: The Intersection of Biology and Materials Science. Antonios Mikos and J. S. Temenoff, AbeBooks, 2008.

Catalog Data: Presents structure-property relationships of implant materials including metals, polymers, ceramics, and composites, with an emphasis on mechanical and surface properties in the broader context of implant design. Biological performance of biomaterials, case studies of traditional implants—as well as emerging, tissue-engineered materials— are emphasized.

Course Classification: Required for all BME students

Course Objectives: Introduction to different classes of biomaterials (metals, ceramics, polymers and their composites), the host response to implanted biomaterials, and some practical professional issues concerning the field of biomaterials. Topics include structure-function relationships (material composition and properties), protein/cell-material interactions, characterization methods, and FDA regulations.

Prerequisites: None Co-requisites: None

Computer Usage: Required for multiple homework assignments.

Laboratory Projects: None

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics ( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors ( ) 3. an ability to communicate effectively with a range of audiences (X) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts ( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives ( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

83

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Structure property relationships of metals, ceramics and polymers, composites, nano- and micro-particles, bulk and surface property characterization, degradation of materials, surface modification of materials, biological testing of materials, device safety and ethics, cardiovascular medical devices, orthopedic medical devices, adhesives and sealants, burn dressings, hydrogels, sutures, bioelectrodes, tissue engineering.

84

Course Number and Name: BMED 2300, BioImaging and BioInstrumentation

Credits and Contact Hours: 4 credits, 4 contact hours/week

Instructor and Coordinator: Ge Wang

Textbook(s): Introduction to Biomedical Imaging. Andrew Webb. IEEE Press series in Biomedical Engineering, 2003.

Supplemental Materials: Additional materials are posted on RPI-LMS related to specific lecture topics.

Catalog Description: This course serves as an introduction to biomedical imaging, instrumentation and application with focus on data acquisition and image reconstruction. Basic principles of major biomedical imaging modalities and appropriate use of instruments will be covered for solving biomedical problems, such as x-ray radiography, computed tomography, nuclear imaging, magnetic resonance imaging, ultrasounds, and optical imaging.

Prerequisites: PHYS 1200 (Physics II) Co-requisites: None

Course Classification: Required for all BME students

Course Outcomes: Students who successfully complete the course should be able to:  Perform basic Fourier analysis and signal processing tasks using MatLab  Draw and explain the critical components of biomedical imaging instruments  Understand how the systems work, and describe the characteristics of the resultant images  List advantages and limitations of each imaging modality

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

(X) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

85

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Linear system, Fourier analysis, signal processing, circuit and network analysis; image quality assessment; principles, instrumentation and application of x-ray radiography, computed tomography, nuclear imaging, magnetic resonance imaging, ultrasound and optical imaging.

86

Course Number and Name: BMED 2540, Biomechanics

Credits and Contact Hours: 4 credits, 4 contact hours/week

Instructor(s) and Coordinator(s): Xun Wang, Ph.D., Lecturer, JEC 7040 and Leo Wan, Ph.D., Assistant Professor, CBIS 2147

Textbook: Mechanics of Materials, F. P. Beer and E. R. Johnston, 1981

Supplemental Materials: Additional materials are provided as handouts.

Catalog Description: Application of mechanics to the study of normal, diseased, and traumatized musculo-skeletal system. Areas covered include determination of joint and muscle forces, mechanical properties of biological tissues, and structural analysis of bone-implant systems. Case studies are discussed to illustrate the role of biomechanics and biomaterials in the design of implants.

Prerequisites: ENGR 1100 (Introduction to Engineering Analysis)

Co-requisites: None

Course Classification: Required for all BME students

Course Outcomes: Students who successfully complete this course will be able to:  Understand and define quantitatively the role of biomechanics in human physiology  Understand the fundamental definition and manipulation of stress and strain components  Understand the mathematical equations, and underlying assumptions, that describe uniaxial, torsion, bending, and combinations of these behaviors.  Understand mechanical testing of biological material and identify structure-function material property relationships in skeletal tissues  Use the biomechanical theories described above to obtain quantitative solutions to biomechanics problems in physiology  Use computational tools to set up and solve biomechanics problems in physiology

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

87

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Statics in human bodies; stress and strain under uniaxial or multiaxial load, torsion, or bending with application to the musculoskeletal system; stress/strain relationship; stress/strain transformation; shear and bending moment diagrams for bone under load; use SolidWorks to draw a bone and simulate the stress and strain under various load.

88

Course Number and Name: BMED 4010, Biomedical Engineering Laboratory

Credits and Contact Hours: 4 credits, 5 contact hours/week

Instructor and Course Coordinator: Monica Agarwal, Ph.D., Lecturer, JEC 7046/5205/5213

Textbook: Biomedical Technology and Devices Handbook. Moore J, Zouridakis G. (Eds.) Boca Raton: CRC Press. 2004. [Note: This is available as an electronic resource through the RPI Library and LMS. A hard copy of the text is not required.]

Supplemental Materials: Additional materials are provided as handouts and posted on RPILMS related to specific laboratory experiments.

Catalog Description: Theory and practice of biomedical measurements. An introduction to instruments and procedures for measurement of pressure, flow, bioelectrical potentials, cell counting, biomechanical and biomaterial properties, using invasive and noninvasive techniques. Transducers studied include strain gauge, differential transformer, spectrophometer, bipotential electrodes, microscope with camera, mechanical testing machine, piezoelectric transducer (or sensor). Also studied are instruments for determination of material properties.

Prerequisites: BMED 2100 (Biomaterials Science and Engineering), BMED 2300 (Bioimaging/Bioinstrumentation), BMED 2540 (Biomechanics), or permission of instructor Co-requisites: BMED 4200 (Modeling of Biomedical Systems)

Course Classification: Required for all BME students

Course Outcomes: 1. Students who successfully complete the course will be able to demonstrate the operating principles and describe the characteristics of a variety of diagnostic and therapeutic instruments. 2. Students will be able to identify, and subsequently avoid (or minimize) causes for inaccuracy in these instruments. 3. Students will be able to properly display, analyze, and communicate experimental methods, results, and measurement errors through brief, thorough, and well-organized laboratory reports. 4. Students will also be able to recognize and avoid conditions which may injure or damage either an instrument, the system to which the instrument is applied, or the operator. 5. Students will be able to comprehensively document their activities in a legible manner. 6. Students will be able to identify and utilize resources from outside the laboratory where they can obtain further information regarding laboratory safety, regulations, and standard operating procedures.

Student Outcomes (Criterion 3):

89

(X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

(X) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

(X) 9.d Making measurements on and interpreting data from living systems.

Topics: Keeping a scientific notebook, writing effective lab reports, lab safety, data acquisition, data collection & analysis, data representation, LabView, diagnostic ultrasound, biosensors, cell morphology, cell culture & handling, methods of analysis for cell experiments, advanced cell diagnostic techniques, sensitivity, specificity, statistical analyses, mechanical testing, strain gages & strain measurement, finite strain & full field mapping, material constitutive relationships, design of experiments, advanced statistical methods, minimizing bias and errors in measurement.

90

91

Course Number and Name: BMED 4200, Modeling of Biomedical Systems

Credits and Contact Hours: 4 credits, 4 contact hours/week

Instructor and Coordinator: Juergen Hahn, Ph.D., Professor, CBIS 4213

Textbook: S.M. Dunn, A. Constantinides, P.V. Moghe. Numerical Methods in Biomedical Engineering. Academic Press, New York, 2006.

Supplemental Materials: Some papers and handouts are posted on the Piazza course website.

Catalog description: Introduction of mathematical and computational methods to model physiological systems in biomedical engineering. Mathematical methods include solution techniques for systems of algebraic equations, systems of differential, and partial differential equations. Computational methods include finite difference, finite element, and lumped parameter methods. Computational methods are programmed using commercial programming and finite element software.

Prerequisites: MATH 2400 (Differential Equations), PHYS 1200 (Physics II) Co-requisites: CSCI 1190 (Beginning Programming for Engineers)

Course Classification: Required for all BME students

Course Outcomes: After successful completion of this course, students should be able to:  Model biomedical systems that consist of algebraic equations, ordinary differential equations, or partial differential equations  Apply different techniques for solving systems of algebraic equations  understand a variety of techniques for numerical solution of differential equations  Know the basic numerical techniques for solving partial differential equations  Apply the concepts of feedback systems and how feedback can be used to influence the dynamical behavior of systems

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

(X) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

92

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

(X) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

(X) 9.d Making measurements on and interpreting data from living systems.

Topics: Conservation equations; Modeling of biochemical reaction networks (metabolic flux analysis); Numerical errors; Systems of linear algebraic equations; Iterative methods, Systems of nonlinear algebraic equations; Lumped parameter modeling and systems of ODEs; Finite difference methods; Numerical integration; Canonical form; Euler methods; Runge-Kutta Methods; State transition matrix; Dynamics of 2nd order systems; Classification of partial differential equations; Elliptic, parabolic, and hyperbolic PDEs; Numerical stability; Introduction to systems including feedback; Laplace Transforms; Feedback controller design

93

Course Number and Name: BMED 4260, Biomedical Product Development and Commercialization

Credits and Contact Hours: 3 credits, 3 contact hours/week

Instructor and Coordinator: Hisham Mohamed, Ph.D., Lecturer, JEC 7044

Textbook: Product Design and Development, 3rd ed., K.T. Ulrich and S.D. Eppinger, McGraw- Hill, 2004.

Supplemental Materials: Introduction to Engineering Design, 2nd ed., W. J. Foley, RPI, 2000.

Catalog Description: A guided approach to development of design skills. Students work individually and in teams to tackle a biomedical design problem using methods drawn as necessary from engineering and from the physical and mathematical sciences. Discussion sessions involve students in presentations of work. This is a communication-intensive course.

Prerequisites: ENGR 2050 (Introduction to Engineering Design), Senior standing Co-requisites: None

Course Classification: Required for all BME students

Course Outcomes: Students who complete this course will be able to:  Demonstrate an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.  Demonstrate an understanding of the impact of engineering solutions in a global, economic, environmental, and societal context.  Demonstrate the skills necessary to work in multi-disciplinary teams.  Demonstrate effective oral and written communication skills.  Demonstrate a recognition of the need for, and an ability to engage in, life-long learning.

Student Outcomes (Criterion 3): ( ) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

(X) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

94

(X) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

(X) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Biomedical design, biomedical product development, device regulations, intellectual property, ethics in design, liability in design, packaging and sterilization of medical devices, advanced manufacturing for biomedical products, entrepreneurship, oral and written technical communication.

95

Course Number and Name: BMED 4500, Advanced Systems Physiology

Credits and Contact Hours: 4 credits, 4 contact hours/week

Instructor and Course Coordinator: Daniel J. Loegering, Ph.D. (Professor) and Peter A. Vincent, Ph.D. (Professor), Center for Cardiovascular Sciences, Albany Medical Center

Textbook: Rhoades, RA, and David R. Bell. Medical Physiology, Lippincott Williams & Wilkins 2013, 4th Ed.

Supplemental Materials: None

Catalog Description: This course will instruct students on how regulation of signaling pathways at the cellular level contributes to the physiological regulation of organ systems. The cell biology of endothelial cells, smooth muscle cells, and cardiac myocytes will be incorporated with the study of organs systems physiology to illustrate how the basic mechanisms of the action potential, second messengers (including calcium, cyclic AMP, and nitric oxide), and muscle mechanics contribute to the regulation of blood flow through the cardiovascular system. Fundamental cell processes will then be incorporated into the study of the respiratory and renal systems. Integration between the renal and cardiovascular system will be illustrated by discussing the chronic regulation of blood pressure. Integration of the respiratory and renal systems will be illustrated through regulation of acid/base balance.

Prerequisites: BIOL 2120 (Advanced Physiological Systems) Co-requisites: None

Course Classification: Required for all BME students.

Course Outcomes: After successfully completing this course, students will have a systems- level and cell-level understanding of the major human organ systems. In addition, they will be able to apply software tools to simulate the behavior of these dynamic and inter-dependent systems.

Student Outcomes (Criterion 3): ( ) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

96

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

(X) 9.d Making measurements on and interpreting data from living systems.

Topics: Regulation of: membrane action potentials, receptors and transmembrane signaling, muscle mechanics, cardiac excitation, blood pressure, autonomic nervous system, pulmonary mechanics, ventilation/perfusion and gas exchange, renal physiology, chronic regulation of blood pressure, and regulation of acid/base balance.

97

Course Number and Name: BMED 4600, Biomedical Engineering Design

Credits and Contact Hours: 3 credits, 3 contact hours/week

Instructor and Coordinator: Eric H. Ledet, Ph.D., Associate Professor, JEC 7044

Textbook: Biodesign, 2nd ed. Yock PG, Zenios S, Makower J, Brinton TJ, Kumar, UN, Watkins FTJ. Cambridge University Press:Cambridge, 2015.

Supplemental Materials: Product Design and Development, 5th ed., K.T. Ulrich and S.D. Eppinger, McGraw-Hill, 2011.

Catalog Description: A guided approach to development of design skills. Students work individually and in teams to tackle a biomedical design problem using methods drawn as necessary from engineering and from the physical and mathematical sciences. Discussion sessions involve students in presentations of work. This is a communication-intensive course.

Prerequisites: BMED 4260 (BME Product Development and Commercialization) Co-requisites: None

Course Classification: Required for all BME students

Course Outcomes: Students who complete this course will be able to:  Demonstrate an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.  Demonstrate an understanding of the impact of engineering solutions in a global, economic, environmental, and societal context.  Demonstrate the skills necessary to work in multi-disciplinary teams.  Demonstrate effective oral and written communication skills.  Demonstrate a recognition of the need for, and an ability to engage in, life-long learning.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

(X) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

98

(X) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

(X) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

(X) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Biomedical design, biomedical product development, device regulations, intellectual property, ethics in design, liability in design, packaging and sterilization of medical devices, advanced manufacturing for biomedical products, entrepreneurship, oral and written technical communication.

99

Course Number and Name: BMED 4280, Biomechanics of Soft Tissue

Credits and contact hours: 3 credits, 3 contact hours

Instructor and course coordinator: Deva Chan, Ph.D., Assistant Professor, CBIS 3141

Textbook: No texts are required; however, two are recommended as references: (1) Tissue Mechanics, S. C. Cowin and S. B. Doty, 2007. (2) Biomechanics: Mechanical Properties of Living Tissues, Y. C. Fung, 1996

Supplemental materials: Seminal and current research literature

Catalog Description: Application of continuum mechanics in modeling the biomechanical behavior of non-mineralized tissues such as tendons, ligaments, skin, cartilage, blood vessels, and nervous tissue. Topics include structure of collagen, elastin, proteoglycans, and other tissue components, nonlinear elastic models, linear and quasilinear viscoelasticity, and introduction to mixture theory.

Prerequisites: BMED 2540 (Biomechanics I), ENGR 2530 (Strength of Materials), or equivalent; or permission from instructor Co-requisites: None

Course Classification: Elective course

Course Outcomes: Students who successfully complete this course should be able to:  Explain key concepts in continuum mechanics, viscoelasticity, and mixture theory  Understand how continuum mechanics and mixture theory apply to tissue mechanics  Describe experimental techniques and constitutive models typically used to study soft tissue mechanics  Apply appropriate linear and nonlinear elastic, viscoelastic, and multi-phasic constitutive models  Select appropriate constitutive models based on tissue structure, physiology, and health  Evaluate the results and communicate the analysis of a computational model of a soft tissue system

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

100

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics:  Review of vector, matrix, and tensor math  Continuum mechanics concepts, including Lagrangian and Eulerian descriptions of motion  Constitutive relationships, including linear elastic, linear viscoelastic, and hyperelastic theories  Experimental methods and biomechanics models used in the study of tendon and ligament, blood vessels, cartilage, and other non-mineralized tissues  Mixture theory and its applications to multiphasic tissues  Current topics in tissue biomechanics, including experimental techniques to assess mechanical behavior of tissues and applications of tissue biomechanics to injury and disease

101

Course Number and Name: BMED 4410, BioMEMs

Credits and Contact Hours: 3 credits, 3 contact hours/week

Course Instructor: Deanna M Thompson, Ph.D., Associate Professor, CBIS 3139

Textbook: none

Supplemental Materials: Journal Articles and Introduction to BioMEMs, Albert Folch, CRC Press (2013)

Catalog Description: BioMEMs is the application of microelectromechanical systems (MEMS) to micro- and nanosystems for genomics, proteomics, and drug delivery analysis; molecular assembly; tissue engineering; biosensor development; and nanoscale imaging. This course discusses state-of-the-art techniques in patterning biomolecules on both conventional and non- conventional (polymers) materials, biosensors, machining three-dimensional microstructures and building microfluidic devices (Lab-on-a-Chip). This course also deals will utilization of these tools to study cell-substrate and cell-cell interactions in tissue engineering and cell biology. Seminal and current literature will be used to discuss topics in BioMEMS ranging from device fabrication to applications in cell biology and medicine.

Prerequisites: Junior or Senior Standing Co-requisites: None

Course Classification: Elective course

Course Outcomes: Students who complete this course will be able to:  Demonstrate a general familiarity with the origins, scope and state of the art in BioMEMS.  Locate and understand reliable, current literature on topics in BioMEMs.  Demonstrate a general knowledge of basic fabrication techniques.  Demonstrate a general knowledge of different biosensing mechanisms and choose the appropriate method for a particular application in BioMEMs  Critically read, discuss and present current literature in BioMEMs.  Independently acquire through reading, homework and self-initiated research, technical knowledge related to the course content as well as the emerging applications of biomedical microdevices  Integrate knowledge of life science and engineering from previous courses to develop and/or understand novel tools at the interface of engineering, medicine and biology.

Student Outcomes (Criterion 3): ( ) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

102

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

(X) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

(X) 9.d Making measurements on and interpreting data from living systems.

Topics: Microlithography, Micromachining, Softlithography (Micromolding, Microstamping, Microstencils), Microfluidics including components such as microvalves, micropumps and micromixing on chip, Biosensors (in vivo and in vitro), Lab-on-a-Chip, Microneedles, Point-of- Care Devices, Neural Probes, Blood-on-a-Chip, Global Health and BioMEMs, MEMs and Disabilities, Nanopatterning techniques.

103

Course Number and Name: BMED 4420 Clinical Orthopaedics and Contemporary Research

Credits and Contact Hours: 4 credits, 4 contact hours/week

Instructor and Course Coordinator: Eric H. Ledet, Ph.D., Associate Professor, JEC 7044

Textbook: Bernstein J. Musculoskeletal Medicine. AAOS: Rosemont, IL. 2003. (ISBN:0-89203- 294-4)

Supplemental Materials: None

Catalog Description: The course will consist of traditional lectures delivered by the instructor reviewing the most contemporary research related to the nation’s highest priorities (as identified by the NIH) for musculoskeletal diseases and care. Each topic will be studied in modules. In each module, the students will first learn about the pathophysiology of the disease through interactive lecture materials and web-based learning tools. Special topics will be presented relevant to each module relating state-of-the-art biomedical research to clinical practice. Following these background lectures, one of eight physicians (six orthopaedic surgeons, one neurological surgeon, one sports medicine specialist) will discuss with the students during lecture time the clinical perspective of the problem and will present clinical case studies. These will include medical histories and diagnostic studies from real patients. Each module will then conclude with a live webcast of surgery from either Albany Medical Center or the Capital Region Bone and Joint Center.

Prerequisites: BMED 4500 (Advanced Systems Physiology) and senior standing or permission of instructor Co-requisites: None

Course Classification: Elective course

Course Outcomes: Students who successfully complete this course will be able to:  identify the most significant musculoskeletal conditions in the United States, including the nature of the pathology, the current state of the art research, and opportunities for future research (and research funding).  communicate effectively with surgeons about these disorders, including the use of appropriate language to describe the anatomy, physiology, and pathology of the diseases.  identify the scope of burden of each pathology from the research perspective, the clinician perspective, and the medical device industry perspective.  define the nature of contemporary treatments (including surgical techniques) for each disease and the most up to date translational research.

104

Student Outcomes (Criterion 3): ( ) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Musculoskeletal anatomy, musculoskeletal physiology, musculoskeletal imaging, orthopaedic biomechanics, orthopaedic biomaterials, musculoskeletal pathophysiology, diagnosis and treatment of musculoskeletal disorders, the global and economic impact of musculoskeletal disorders.

105

Course Number and Name: BMED 4440, Biophotonics

Credits and Contact Hours: 3 credits, 3 contact hours/week

Instructor and Course Coordinator: Xavier Intes, Ph.D., Professor, JEC 7036

Textbook: None

Supplemental Materials: Reference texts form: 1. Introduction to Biophotonics – by Paras N. Prasad, John Wiley & Sons, 2003, New York; 2. Optics (4th edition) – by Hetch, Addison Wesley Publishing Co., 1987; 3. Principles of fluorescence spectroscopy – by Joseph R. Lakowicz,; 4. Biomedical photonics handbook, Tuo Vo-Dinh,

Catalog Description: Biophotonics, or Biomedical optics, is a newly developing field, dealing with the application of optical science and technology to biomedical problems, including clinical applications. The course introduces students to the fundamentals in modern and classical optics, light-matter interaction and provides them with a broad overview of current topics and contemporary research in the area of optics and lasers in medicine and biology.

Prerequisites: PHYS 1200 (Physics II) Co-requisites: None

Course Classification: Elective course

Course Outcomes: Students who successfully complete this course should be able to:  Learn and apply the physics behind biomedical optics  Apply the fundamentals of optics principles to tissue-related science and/or any biological system  Design optics-based instruments for applications such as diagnostics, sensing and/or therapeutics  Apply mathematical tools in solving optics-based engineering problems  Understand the medical and societal value of biophotonics engineering technology

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

106

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Electromagnetic waves, photons and light, basic optics, thermal aspects of light-tissue interaction, light propagation in tissue, optical properties of tissues, diagnostic use of lasers (optical biopsies, optical spectroscopy and optical imaging), therapeutic use of laser (laser ablation, light-activated therapy), novel technologies and applications (optical molecular imaging)

107

Course Number and Name: BMED 4450, Drug and Gene Delivery

Credits and Contact Hours: 3 credits, 3 contact hours/week

Instructor and Course Coordinator: Ryan Gilbert, Ph.D., Professor, BT 2135

Textbook: None.

Supplemental Materials:  Allen, L.V., Popovich, N.G., Ansel, H.C. (2005). Ansel’s Pharmaceutical Dosage Forms and Drug Delivery Systems. Lippincott, Williams, and Wilkins  Uchegbu, I.F., Schatzlein, A.G. (2006). Polymers in Drug Delivery. CRC Taylor & Francis  Wang, B., Siahann, T., Soltero, R.A. (2005). Drug Delivery: Principles and Applications. Wiley  Li, X., Jasti, B.R. (2006). Design of Controlled Release Drug Delivery Systems. McGraw-Hill

Catalog Description: The course presents several aspects of drug and gene delivery including: 1) definitions of what drugs or gene are; 2) pharmacokinetics and pharmacodynamics; 3) biomaterial selection considerations; 4) bioactivity considerations;; 5) physiological and biochemical barriers to drug delivery; 6) diffusion controlled, dissolution controlled, and osmotic controlled drug delivery systems; 7) polymeric delivery systems; 8) ligand-based targeting and physical targeting; 9) viral mediated gene delivery; 10) non-viral gene delivery; 11) polymers in gene delivery.

Prerequisites: BMED 2100 (Biomaterials Science and Engineering) or equivalent, senior standing or instructor permission Co-requisites: None

Course Classification: Elective course

Computer Usage: Required for group project assignments.

Laboratory Projects: There is a term paper writing project that focuses on development of paper review focused on a particular aspect of drug and gene delivery.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

108

(X) 3. an ability to communicate effectively with a range of audiences

(X) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Pharmacokinetics and pharmacodynamics, Physiological and biochemical barriers to drug delivery, genetic disorders, prodrugs, diffusion controlled drug delivery systems, transdermal drug delivery, viral mediated gene delivery, dissolution drug delivery systems, material coatings, osmotic controlled drug delivery systems, non-viral gene delivery, polymer drug delivery, polymeric gene delivery, physical targeting, ligand-based targeting.

109

Course number and name: BMED 4460, Biomedical Image Analysis

Credits and contact hours: 3 credits, 3 contact hours

Instructor and Coordinator: Pingkun Yan, Ph.D., Assistant Professor, CBIS 4231

Textbook: Digital Image Processing, 4th ed., R. Gonzalez and R. Woods, Pearson, 2017.

Supplemental materials: Journal articles from a number of journals.

Catalog Description: This course introduces students to the image analysis methods that can be used to extract biologically relevant measurements. In addition to teaching a core set of image analysis algorithms, the course will highlight some of the application-relevant challenges that need to be addressed. Overall the course balances between introducing theoretical concepts and applying the image analysis tools to actual data sets using open source libraries.

Prerequisites: Senior standing Co-requisites: None

Course Classification: Selective elective for Biomedical Imaging concentration

Course Outcomes: After successful completion of this course, students should be able to know and apply the principles and concepts of biomedical image analysis and to:  Demonstrate an ability to design methods and workflow to process and analyze biomedical images to meet desired needs with realistic constraints such computational speed and accuracy.  Demonstrate an understanding of formulating image analysis problems using advanced mathematics  Demonstrate the skills necessary to work in teams for problem definition and solution development.  Demonstrate effective oral and written communication skills.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

110

(X) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

(X) 9.d Making measurements on and interpreting data from living systems.

Topics: Biological microscopy and selected medical imaging systems, image processing libraries, adaptive image segmentation, blob analysis, cell/colony counting, cell morphometry, vessel and neuron tracing algorithms, feature extraction, pattern analysis, cluster analysis and classification, image registration algorithms, spatial referencing, motion estimation, and change detection.

111

Course number and name: BMED 4470, Biostatistics for Life Science Applications

Credits and contact hours: 3 credits, 3 contact hours/week

Instructor and Course Coordinator: Xun Wang, Ph.D., Lecturer, JEC 7040

Textbook: Applied Statistics and probability for Engineers, Montgomery D.C. and Runger G C. ISBN 978-0-471-74589-1.

Supplemental materials: Additional materials are provided as handouts.

Catalog Description: Starting with the introduction of the probability distribution of one or two continuous random variables, basic concepts of mean, variance, covariance and correlation coefficient are covered. Description techniques discussed include stem-and-leaf plots, histograms, box plots, and probability plots. Confidence intervals for a single sample and for two samples are constructed on means and variances. The procedure of hypothesis testing is introduced conceptually followed by solving real-life biomedical problems. The design and performance of engineering experiments involving a single factor are discussed, where the analysis of variance is used to extract information from data. The course also shows how to determine situations where nonparametric procedures should be applied. Several nonparametric statistics are introduced.

Prerequisites: ENGR 2600 Modeling and Analysis of Uncertainty

Co-requisites: None

Course Classification: Selective elective for any BME concentrations

Course Outcomes: Successful students will be able to carry out the tasks below both manually and through software on data obtained from BME labs or from external open resources:  compute basic descriptive statistics, use summary data, understand output of statistical software  solve problems in probability using continuous distributions,  explain which distribution should be used in a problem and why,  solve problems concerning calculation of probabilities in general and for several special distributions,  construct confidence intervals and apply the central limit theorem,  perform various statistical tests,  determine situations where nonparametric techniques are preferred over t-test and ANOVA.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

112

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

(X) 9.d Making measurements on and interpreting data from living systems.

Topics: Probability distribution of one or two continuous random variables; concepts of mean, variance, covariance and correlation coefficient; basic graphs: stem-and-leaf plots, histograms, box plots, and probability plots; confidence intervals on means and variances for a single sample and for two samples; hypothesis testing; single factor experiments; nonparametric statistics.

113

Course number and name: BMED 4480, Biomedical Data Science

Credits and contact hours: 4 credits, 4 contact hours

Instructor and Coordinator: Uwe Kruger, Eng.D., Professor of Practice, JEC 7048

Textbook: K.V. Mardia, J.T. Kent, J.M. Bibby. Multivariate Analysis. Academic Press Inc., New York, 1979, E. Kreyszig. Advanced Engineering Mathematics. 10. Edition. John Wiley & Sons, New York, 2011.

Supplemental materials: None

Course Description: Introduction of multivariate statistical methods to model and analyze recorded data from physiological systems in biomedical engineering. Statistical approaches related to applied multivariate statistics, classification and regression. Associated linear methods include principal component analysis, Fisher discriminant analysis, partial least squares, canonical correlation analysis and their nonlinear counterparts. Descriptive tools include scatter diagrams, Hotelling’s T2 statistics and contribution plots. The course has a strong emphasis on biomedical applications and presents associated results from studies related to autism, tissue engineering and stress-strain modeling.

Prerequisites: MATH 2010 (Multivariate Calculus and Matrix Algebra) and ENGR 2600 (Modeling and Analysis of Uncertainty) Co-requisites: None

Course Classification: Elective course

Course Outcomes: Students who successfully complete this course will be able to:  Setup classification and regression problems;  Identify and validate data models from physiological/biomedical data records;  Examine data and establish models to extract information from experiments; and  Analyze recorded data that include a small number of observations and many variables.

Student Outcomes: (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

114

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

(X) 9.d Making measurements on and interpreting data from living systems.

Topics: Review of linear algebra and basis statistics and introduction of multivariate statistics. Introduction of principal component, factor and canonical correlation analysis for analyzing multivariate data sets. Discussion of k-means clustering, support vector machines and Fisher discriminant analysis for multivariate unsupervised and supervised clustering. Discussion of multivariate regression problems and introduction of ordinary least squares, principal component and partial least squares methods. Presentation of kernel density estimation and nonlinear kernel-based extensions to principal component analysis and factor analysis, support vector machines, Fisher discriminant analysis and partial least squares. Presentation of various research applications of methods covered in class.

115

Course Number and Name: BMED 4510 Mechanobiology

Credits and Contact Hours: 3 credits, 3 contact hours/week

Instructor and Coordinator: Deepak Vashishth, Ph.D., Professor, CBIS 2213

Textbook: Skeletal Function and Form: D.R. Carter and G.S. Beaupre, Cambridge University Press.

Supplemental Materials: Journal articles from a number of journals (up to 14)

Course Description: Mechanical regulation of biological systems will be discussed. Topics include Principles and concepts of mechanobiology; Embryogenesis and histogenesis of tissues with particular references to skeletal system; Physical forces at cellular, tissue and organ level; Mechanical regulation of cellular behavior, tissue growth and organ development; Limits of mechanical regulation: Biochemical influences; Application of mechanobiology to tissue regeneration.

Prerequisites: BMED 2540 (Biomechanics) Co-requisites: None

Course Classification: Elective course

Course Outcomes: The students will be able to understand the concepts and principles of mechanobiology through theories on form and function, skeletal evolution, embryogenesis and histogenesis of tissues 2. The students will be able to utilize the concepts and principles of mechanobiology to evaluate and analyze the formation, growth, development, homeostasis and remodeling (or degeneration) of skeletal tissues (cartilage and bone) from cellular to organ levels 3. The students will be able to apply the concepts and principles of mechanobiology to a variety of practical situations including tissue-implant interfaces and tissue engineering problems. These applications will allow them to understand the strengths and limitations of the concepts

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

116

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Principle and concepts of mechanobiology; Embryogenesis and Histogenesis of tissues; Physical forces at cellular, tissue and organ level; Mechanobiology of Articular Cartilage; Mechanobiology of Bone; Concept and Application of Strain Energy Regulation in Biology; Application of mechanobiology to tissue engineering; Limits of mechanical regulation: Biochemical influences

117

Course Number and Name: BMED 4540, Biomechanics II

Credits and Contact Hours: 4 credits, 4 contact hours/week

Instructor and Course Coordinator: David T. Corr, Ph.D., Associate Professor, JEC 7042

Textbook: Human Body Dynamics: Classical Mechanics and Human Movement, by Aydin Tözeren, Springer-Verlag, 2000 (First Edition), ISBN #0387988017.

Supplemental Materials (software):  Autolev symbolic manipulation software (free demo available from www.autolev.com)  MATLAB 6.5 or newer (available for download from RPI electronic shelf www.rpi.edu)  OpenSim musculoskeletal modeling and analysis software (free download from LMS page)

Catalog Description: This course examines the biomechanics of human body movement. Various models used in the dynamic analysis of human biomechanical movement will be developed including lumped mass, planar rigid body, and 3-D rigid body models. Current techniques in Forward Dynamics and Inverse Dynamic approaches will be explored. Each topic will be introduced and developed on a foundation of classical mechanics, and simulations will be constructed using various software (e.g., Autolev, Matlab, OpenSIM). Simulations will be used to describe normal physiologic movements, and to investigate the possible source of clinically- relevant movement abnormalities due to primary injury, disease, or dysfunction.

Pre-requisites: BMED 2540 (Biomechanics I) or equivalent, junior/senior standing, or permission of instructor Co-requisites: None

Course Classification: Required for biomechanics concentration

Course Outcomes: Students who successfully complete this course will have an ability to: 1. demonstrate application of classical particle and rigid body dynamics, including 3- D rigid body kinetics and kinematics to study human movement 2. calculate internal force in muscles, bones, and joints using basic principles of engineering mechanics (and possibly standard software, such as Matlab) 3. develop multi-body dynamical models of the human musculoskeletal system possessing the appropriate complexity for the given problem 4. answer biodynamics questions such as: why two-joint muscles may be mechanically advantageous, why antagonistic muscle force production contributes to joint stability, and how an athlete should move to create a desired motion (e.g., dancers spinning, diver twisting, weight lifting).

118

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Lumped mass models, rigid body models (3-D and planar 2-D), inverse dynamics, forward dynamic models, 3-D rotations, optimization techniques.

119

Course number and name: BMED 4550, Cell Biomechanics

Credits and contact hours: 3 credits, 4 contact hours

Instructor(s) and Coordinator(s): Leo Wan, Ph.D., Associate Professor, CBIS 2147

Textbook: Rob Phillips, Jane Kondev, and Julie Theriot, Physical Biology of the Cell, Garland Science, New York, 2008.

Supplemental materials: Christopher R. Jacobs, Hayden Huang and Ronald Y. Kwon, Introduction to Cell Mechanics and Mechanobiology, Garland Science, New York, November 2012. (ISBN: 9780815344254). Jonathon Howard: Mechanics of Motor Proteins and the Cytoskeleton, Sinauer Associates, Sunderland, 2001; David Boal: Mechanics of the Cell, Cambridge University Press, Cambridge, 2012.

Catalog Description: This is an undergraduate/graduate course on the mechanics of biopolymers, cell cytoskeleton, cell membrane, the whole cell, and multicellular structures in the context of the modulation of cell function by mechanical stresses. Topics include state-of-art experimental techniques in cell biomechanics, and cutting-edge research in stem cell mechanobiology, cell motility, collective cell behavior, neurite growth, osteocyte sensing, cardiovascular diseases, and immunology.

Prerequisites: ENGR 2540 (Biomechanics) Co-requisites: None

Course Classification: Elective course

Course Outcomes: Students will be able to: i) Gain a quantitative understanding of the way cells detect, modify, and respond to the physical properties within the cell environment; ii) Understand how cell biology and biochemistry influence the mechanical properties of the cell; iii) Understand how the mechanical environment can influence cell morphology, and thus its biology and biochemistry; iv) Demonstrate the ability to apply mechanics laws to biological problems; v) Develop general skills in problem definition and solving; vi) Continue to develop skills in written and oral communications.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

120

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Review of solid/fluid mechanics, Primer to statistical mechanics, Experimental techniques and analyses for cell biomechanics, Biopolymers, Polymer networks and the cytoskeleton, Biomembranes, Mechanobiology and cell mechanotransduction

121

Course Number and Name: BMED 4580, Biomedical Fluid Mechanics

Credits and Contact Hours: 3 credits, 3 contact hours/week

Instructor and Course Coordinator: Hisham Mohamed, Ph.D., Lecturer, JEC 7032

Textbook: Biofluid Mechanics: The Human Circulation, by Krishnan B. Chandran, Ajit P. Yoganathan, Stanley E. Rittgers, CRC; 2nd edition, 2012

Catalog Description: This course covers the dynamics of fluid flow and transport phenomena in human physiological system. Engineering principle, fluid dynamic and bio-transport concepts will be taught in the context of cardiovascular system. Topics include: fundamentals of fluid mechanics, pulsatile flow in arteries, vascular compliance and wave propagation, impedance, cardiac mechanics, dynamic coupling of ventricle and systemic circulation, blood flow in vein, coronary circulation, microcirculation, blood flow at complex geometries, imaging techniques in clinical hemodynamic assessment, fluid mechanics in designing and testing circulatory implants, mass transport in biological systems.

Prerequisites: ENGR 2250 (Thermal and Fluids Engineering I) Co-requisites: None

Course Classification: Required for biomechanics concentration

Computer Usage: Students are required to use Matlab programing to complete the homework and team project.

Independent Learning Experiences: Research is required for term projects. Some research will also be required to enhance understanding of case studies.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

122

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

(X) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

123

Course number and name: BMED 4590, Medical Imaging

Credits and contact hours: 3 credits, 3 contact hours

Instructor and Coordinator: Ge Wang

Textbook(s): Paul Suetens, Fundamentals of Medical Imaging, Second Edition, Cambridge University Press, 2009; Information on this title: www.cambridge.org/9780521519151

Supplemental materials: Additional materials are posted on RPI-LMS related to specific lecture topics.

Catalog Description: This course is for students to have a deep understanding and a state of the art overview of biomedical imaging, with an emphasis on physical and mathematical principles, system architectures, and important applications. Over past several years, artificial intelligence and machine learning has greatly inspired research and development in the medical imaging field. A good portion of the course will be on learning-based/data-driven/deep tomographic reconstruction and unification of image reconstruction and image analysis/radiomics.

Prerequisites: BMED 2300 Co-requisites: None

Course Classification: Elective course

Course Outcomes: Students who successfully complete the course should be able to:  Perform/adapt essential formulation as related to medical imaging  Gain a systematic picture of the state of the art and momentum of the medical imaging field  Become familiar with artificial intelligence and machine learning as related to medical imaging  Think both innovatively and practically

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

(X) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

124

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Linear system, Fourier analysis, signal processing, circuit and network analysis; image quality assessment; principles, instrumentation and application of x-ray radiography, computed tomography, nuclear imaging, magnetic resonance imaging, ultrasound and optical imaging.

125

Course Number and Name: BMED 4650, Introduction to Cell and Tissue Engineering

Credits and Contact Hours: 3 credits, 3 contact hours/week

Course Instructor: Deanna M. Thompson, Ph.D., Associate Professor, CBIS 3139

Textbooks: There is no required textbook. A list of reference books is provided below.

Supplemental Materials: Students are assigned papers from journal articles and use the list of books below as reference material. 1. Tissue Engineering, John P. Fisher, Antonios G. Mikos, Joseph D. Bronzino, ISBN-13: 978- 0849390265 2. Tissue Engineering (Saltzman), Oxford University Press, ISBN-13: 978-0195141306 3. Tissue Engineering (Berhard and Bhatia), Parson Prentice Hall, ISBN-13: 978-0130416964 4. Principles of Tissue Engineering, 3rd Edition, Robert Lanza, Robert Langer, Joseph Vacanti, ISBN-13: 978-0123706157. 5. Tissue Engineering, Bernhard Palsson, Jeffrey A. Hubbell, Robert Plonsey, Joseph D. Bronzino, ISBN-13: 978-0849318122 6. Principles of Regenerative Medicine, Second Edition, Anthony Atala, Robert Lanza, James A. Thomson, Robert Nerem, ISBN-13: 978-0123814227 7. Functional Tissue Engineering (Guilak, Butler, Goldstein and Mooney), Springer-Verlag, ISBN: 0387955534

Catalog Description: This course teaches the use of engineering principles to describe cellular processes of biological, chemical, and physical nature. A quantitative approach will be used to explain the behavior of cells under various physical stimuli through the application of the laws of physics, mathematics, and physical biochemistry. The transduction of these physical stimuli into modified behavior and their impact on organ level performance/function and tissue engineering will be discussed in the case of mammalian cells.

Prerequisites: ENGR 2250 and either BMED 2540 or ENGR 2530, or permission of instructor Co-requisites: None

Course Classification: Elective course

Course Outcomes: After successful completion of this course, students should understand the fundamental principles and practices of tissue engineering, and have a firm understanding of tissue structure, function, growth, and remodeling in various tissues and organs. Students should be able to:

Student Skills: (1) apply tissue engineering principles to the solution of medical problems requiring the regeneration of tissue; (2) identify appropriate practical methods for fabrication of tissue-engineered products;

126

(3) understand the advantages and disadvantages of various tissue engineering approaches and demonstrate the ability to choose the appropriate solution for specific applications.

Student Outcomes (Criterion 3): ( ) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

(X) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

(X) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

(X) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Organ-Specific (i.e. bone, liver, nerve, vascular) Tissue Engineering, Extracellular matrix, Scaffolds Engineering, Cell Interactions with Scaffolds, Bioreactors (design, characterization, and applications), and other Tissue Engineering Enabling Technology (3-D fabrication, biomimetic, nanotechnology etc).

127

Course Number and Name: BMED 4660, Muscle Mechanics and Modeling

Credits and Contact Hours: 3 credit, 3 contact hours/week

Instructor and Course Coordinator: David T. Corr, Ph.D., Associate Professor, JEC 7042

Text: None

Supplemental Materials: Other resources, such as lecture handouts and peer-reviewed journal articles, are provided and posted on RPILMS.

Catalog Description: This graduate/advanced undergraduate hybrid course examines the structural and physiologic properties of muscle, as well as its force production and overall biomechanical function. Muscle structure and function will be explored at the protein, single fiber and whole tissue levels. Discussions will focus primarily on skeletal muscle, and topics will include muscle morphology, cross-bridge theory, molecular motor and actomyosin interaction, Hill-type and Huxley-type models, electromyography, fatigue, muscle inhibition, history-dependent phenomena, in vitro and in vivo muscle function, and the response to injury. Each topic will be introduced and developed utilizing seminal articles in the literature as well as excerpts from texts, and further discussion on current problems and state-of-the-art experimental techniques will draw on the current scientific literature.

Prerequisites: Senior standing, or permission of instructor Co-requisites: None

Course Classification: Elective course

Course Outcomes: Students who successfully complete this course will have an ability to: 1. demonstrate the application of experimental techniques and muscular contraction theories to explain force-length and force-velocity relationships in skeletal muscle, and history- dependent behavior 2. relate muscle structure to biomechanical function, at a variety of scales: actomyosin interaction, sarcomere, single fiber, and whole tissue 3. locate, retrieve, read, comprehend, critique and discuss current and classic muscle literature 4. select the appropriate mathematical model of skeletal muscle for a desired application, and justify their choice by weighing the strengths and weaknesses of the major types of muscle models 5. diagnose the functional impairment or dysfunction caused by an irregularity in the Excitation-Contraction coupling process, and how this would change with a proposed intervention

128

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: muscle morphology, the cross-bridge theory, excitation-contraction coupling, mechanical properties of muscle, asynchronous muscle, power, fiber types, structural and phenomenological muscle modeling, history-dependent behavior, muscle injury and adaptation, muscle control and force-sharing.

129

2) Non-BMED Course Syllabi

Course Number and Name: BIOL 2120, Introduction to Cell and Molecular Biology

Credits and Contact Hours: 4 credits, 6 hours of lecture/wk

Instructor and Coordinator: Eric Rutledge, Ph.D., J-ROWL 3C44

Textbook: Becker's World of the Cell, 9th Edition, Jeff Hardin and Gregory Bertoni, 2016 Pearson Education

Supplemental References: None

Catalog Description: Structural and functional relationships of cells are discussed with regard to similarities among all living organisms. Introduction to cellular biochemistry, metabolism and energy flow, cellular and Mendelian genetics, and the chemical basis of heredity. The laboratory exercises illustrate current concepts in cellular and molecular biology.

Prerequisites: None Co-requisites: None

Course Classification: Required of BMED engineering students, elective for others.

Course Outcomes: The students which complete this course in a satisfactory manner will be able to demonstrate: i) An understanding of prokaryotic and eukaryotic cell structure and function by answering multiple choice and short answer/drawing questions on in-class exams; ii) How to perform common techniques in prokaryotic and eukaryotic cell biology in laboratory exercises; iii) How to accurately record laboratory activities in a laboratory notebook.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

130

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Protein Structure and function; Bio-membrane structure and membrane transport; Cellular energetics; Translation; Vesicular Traffic, Secretions, and Endocytosis; Cellular organization, movement, microfilaments; integrating cells into tissues; Signal transduction and G protein-coupled receptors; Signaling pathways that control gene activation; Stem cells, cell asymmetry and cell death; Eukaryotic cell cycle; cancer.

131

Course Number and Name: CHEM 1100, Chemistry I

Credits and Contact Hours: 4 credits, 4 hours of lecture/wk

Instructor and Coordinator: Alexander Ma, Ph.D., Cogswell

Textbook: "Chemistry - Structure and Properties", 2nd Ed., by Tro (2018) "Organic Chemistry", 8th Ed., by Bruice (2016)

Supplemental References: None

Catalog Description: Principles of chemistry, with particular focus on atomic and molecular structure and bonding, periodicity, basic thermodynamic principles, introduction to acid-base chemistry and elementary chemical equilibrium, and introduction to organic chemistry.

Prerequisites: None Co-requisites: None

Course Classification: Required for engineering students.

Course Outcomes: The students which complete this course in a satisfactory manner will be able to demonstrate: i) Proficient knowledge in the core areas of chemistry (i.e., analytical, inorganic, organic, and physical) in order to prepare themselves for advanced courses in the various subject areas of science and engineering; ii) The ability to solve quantitative problems in chemistry and chemical systems using fundamental concepts of chemistry and mathematics; iii) The ability to effectively communicate ideas and inquiries related to topics in chemistry to professional chemists in academia and in the industry; iv) Safe and proper chemistry laboratory techniques relating to mass measurements, volume measurements, solution preparation, dilution, titration, elementary separation, and synthesis methods; v) The ability to collect, analyze experimental data, and determine experimental errors using various scientific methods; vi) The identification and use scientific literature and other reputable sources as references for experimentation and research.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

132

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: The Quantum Mechanical Atom; Periodicity; Chemical Bonding; Basics of Organic Chemistry; Basics of Biochemistry; Solutions and Reactions; Redox Reactions; Thermochemistry; The Properties of Gases; Chemical Equilibrium and Acid-Base Equilibria.

133

Course Number and Name: CSCI 1100, Computer Science I

Credits and Contact Hours: 4 credits, 5 hours of lecture+lab /wk

Instructor and Coordinator: Konstantin Kuzmin, Ph.D., 112 Amos Eaton

Textbook: Practical Programming: An Introduction to Computer Science Using Python by Campbell, Gries, and Montojo, Toronto University Books.

Supplemental references: None

Catalog Description: An introduction to computer programming algorithm design and analysis. Additional topics include basic computer organization; internal representation of scalar and array data; use of top-down design and subprograms to tackle complex problems; abstract data types. Enrichment material as time allows. Interdisciplinary case studies, numerical and non-numerical applications.

Prerequisites: None Co-requisites: None

Course Classification: Required of CSYS and ELEC engineering students. Can be used as CSCI 1190 replacement by BME students.

Course Outcomes: The students which complete this course in a satisfactory manner will be able to: i) Design algorithms and programs to solve small-scale computational programs; ii) Write, test, and debug small-scale programs; iii) Apply computational thinking to real-world problems

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

134

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Strings; Functions; Tuples, modules, images; Lists; Logic; Controlling loops; Problems solving and design; Dictionaries; Classes; Sorting; Python

135

Course Number and Name: CSCI 1190, Introduction to Programming for Engineers

Credits and Contact Hours: 1 credits, 1 hours of lecture/wk

Instructor and Coordinator: Ingrid Liu, Ph.D., 134 Amos Eaton

Textbook: Instructor developed lecture notes; MATLAB help; MATLAB for Engineers (optional reference);

Supplemental References: None

2018-2019 Catalog Data: This course teaches elementary programming concepts using the MATLAB environment for engineering students with little or no prior programming experience. Concepts include variables, looping, and function calls.

Prerequisites: None Co-requisites: None

Course Classification: Required of all engineering students other than CSYS and ELEC majors.

Course Outcomes: The students which complete this course in a satisfactory manner will be able to: i) Demonstrate an understanding of the the basic of computer technology; ii) Grasp the rudiments of computer programming and some of the essentials of the Matlab programming language; iii) Edit, debug, and test computer programs using MATLAB language in MATLAB environment; iv) Analyze requirements, design algorithms, develop programs (in Matlab), and verify the solutions for simple problems

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

136

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Types, expressions, variables; Conditional execution; Loops; Functions; Arrays; Code Design

137

Course Number and Name: ECSE 2010, Electric Circuits

Credits and Contact Hours: 4 credits, 7 contact hours

Instructor and Coordinator: Shayla Sawyer, CII-8225.

Textbook: Thomas, Rosa, and Toussaint, The Analysis and Design of Linear Circuits, 7th Ed., 2012.

Supplemental Materials: Course videos (on course website)

Catalog Description: Techniques for the analysis and simulation of linear electric circuits and measurements of their properties. Topics include resistive and energy-storage elements, controlled sources and operational amplifiers, systematic analysis methods, AC steady state, power and three- phase systems, magnetic coupling and transformers, transients, s-plane representation and analysis, frequency response, and Laplace transform and computer-aided methods.

Prerequisites: MATH 2400 (Introduction to Differential Equations), PHYS 1200 (Physics II) Co-requisites: None

Course Classification: Required for all electrical, computer and systems engineering students. Required for BME Bioimaging/Instrumentation concentration.

Course Outcomes: The Students who finish this course in a satisfactory manner will be able to demonstrate (i) an ability to analyze circuits using superposition, node and mesh analysis, and equivalent circuits; (ii) an ability to analyze circuits that contain dependent and independent sources; (iii) an ability to find the time domain response of circuits using Laplace transforms; (iv) an ability to find the AC steady-state response of circuits.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

(X) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

138

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Basic circuit analysis; Kirchoff's voltage law (KVL); Kirchoff's current law (KCL); Mesh analysis; Nodal analysis; Superposition of independent sources; An understanding of dependent sources; Source transformation techniques; Thevenin equivalent sources; Norton equivalent sources; Transient response analysis; Differential and integral relationships between voltage and current in capacitors and inductors; Derivation of defining differential equations for voltage and/or current in a circuit component; Steady state analysis; Initial conditions; Behavior of second order circuits that are overdamped, critically damped and underdamped; Laplace techniques applied to transient behavior; Impedance analysis in circuits; Transfer functions; Laplace transform of sources; Partial fraction expansion; Inverse Laplace transforms; Circuit analysis with steady state sinusoidal sources; Phasor analysis; Impedance analysis with complex impedances; Revisiting previous DC circuit analysis tools with applications to AC steady state analysis; Phase and magnitude concepts with voltage and current signals; Understanding Bode plots of magnitude and phase; Transfer functions as a function of frequency; First order filters, passband, stopband and corner frequency; Second order filters, overdamped, critically damped and underdamped characteristics; Higher order filters; Design techniques applied to filters; Power systems analysis; Ideal transformer characteristics; Transformer models for non-ideal behavior; Real power and reactive power; Load balancing.

139

Course Number and Name: ECSE 2410, Signals and Systems

Credits and Contact Hours: 3 credits, 3 contact hours

Instructor and Coordinator: Agung Julius, JEC-6044.

Textbook: Alan V. Oppenheim, Alan S. Willsky, and S. Hamid, Signals & Systems, 2nd Ed., Prentice Hall, 1996.

Supplemental Materials: H. Hsu, Schaum’s Outline of Signals and Systems, 2nd Ed., McGraw Hill, 2010.

Catalog Description: Time and frequency-domain representation of continuous- and discrete- time signals and systems. Response of linear, time-invariant systems. Convolution, Fourier series, Fourier transform, Laplace transform, and z-transform. Applications in communication, feedback control, and filtering.

Prerequisites: ECSE 2010 (Electric Circuits) Co-requisites: None

Course Classification: Required for all electrical, computer and systems engineering students. Required for BME Bioimaging/Instrumentation concentration.

Course Outcomes: The Students who finish this course in a satisfactory manner will be able to demonstrate (i) an ability to represent discrete-time and continuous-time signals in terms of step functions, delta functions, sequences and phasors; (ii) an understanding of the principle of superposition (convolution) and its role in linear, time-invariant systems; (iii) an ability to characterize and analyze steady-state system behavior via the real frequency domain using Fourier transforms and Bode plots; (iv) an ability to characterize and analyze transient system behavior via the complex s-domain using Laplace transforms; (v) an ability to apply the above methodology to the analysis of amplitude modulation communication systems, filtering and signal processing applications, and to feedback control systems.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

(X) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

140

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Systems and their properties; Discrete-time convolution; Continuous-time convolution; Impulse response; LTI system properties; Fourier Series; Fourier Series properties; Fourier Transform; Fourier Transform properties and examples Fourier Transform convolution property; Amplitude Modulation; Sampling Theorem; Aliasing and up-/down-sampling; Magnitude and phase; Bode plots (first order) Bode plots (second order); Laplace Transform and its properties; Poles and zeros; Geometric intuition; Causality/stability; Feedback systems; Root locus; Z- transform and properties.

141

Course Number and Name: ENGR 1100, Introduction to Engineering Analysis

Credits and Contact Hours: 4 credits, 4 hours of studio per week

Instructor and Coordinator: Keith Taylor, Lecturer and Coordinator, JEC 5007

Textbook: Introduction to Engineering Analysis, 2018 Pearson

Supplemental References: The Essentials of Linear Algebra, Research and Education Associates, Super Review, Linear Algebra, Research and Education Associates

Catalog Description: This course provides an integrated treatment of Vector Mechanics (Statics) and Linear Algebra. It also emphasizes matrix methods for solving engineering problems. Students will be expected to learn key principles of Statics and Linear Algebra and to demonstrate skills with vector and matrix manipulations

Prerequisites: None Co-requisites: None

Course Classification: This course is required for engineering students

Course Outcomes: Students that successfully complete this course will be able to demonstrate: 1. Write a system of linear equations in the matrix form Ax = b. 2. Determine whether a system of linear equations has a singular solution, no solution, or an infinity of solutions. 3. Evaluate the determinant of a matrix by the methods of cofactor expansion and duplicate columns. 4. Solve up to three linear equations with three unknowns using Cramer’s Rule. 5. Solve up to six linear equations with six unknowns by using the Gauss-Jordan elimination method and elementary row operations. 6. Add, subtract, and multiply matrices and determine the inverse of a matrix by using the adjoint formula and augmented matrices and row reduction. 7. Find a unit vector associated with a line segment, or force vector, and be able to compute the scalar product and cross-product of two vectors and the scalar triple product of two vectors. 8. Obtain the solution to a system of linear equations by the methods stated above.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

142

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Vector Notation and Calculation, Free Body Diagrams, Application of Newton’s second law in static equilibrium, Calculation of a moment, moment couple, in scalar and vector forms, Linear algebra, including Gauss Jordan elimination, calculation of inverse using row operations or method of cofactors, and calculation of a determinant, incorporation of friction into engineering analysis, analysis of trusses, frames, and machines in equilibrium

143

Course Number and Name: ENGR 1200, Engineering Graphics & Computer-Aided Design

Credits and Contact Hours: 1 credits, 2 hrs of studio/week

Instructor and Coordinator: Jeff Morris, Manager, CAD/CAM/CAE, JEC 3018

Textbook: None

Supplemental References: ENGR-1200 Video Lecture Series (Provided on LMS)

Catalog Description: This is an undergraduate introductory course covering techniques for creating solid models of engineering designs. Topics include three-dimensional parametric modeling of parts, assemblies, visualization of three-dimensional space, orthographic and isometric hand-sketching and computer-generated design documentation.

Prerequisites: A mobile computing platform w/internet capability and working knowledge of the operating system. Microsoft Windows® 7 - 10 operating system strongly recommended and Siemens NX Software Installed Co-requisites: None

Course Classification: Either ENGR-1400, CIVL-1200, or this course is required for engineering students

Course Outcomes: Students that successfully complete this course will be able to demonstrate: 1. Understanding 3-D and 2-D geometry creation. 2. Standard documentation practices. Translating 3-D models to 2-D drawings. 3. Creation and documentation of a basic assembly with motion. 4. Orthographic and axonometric hand-sketching techniques.

Student Outcomes (Criterion 3): ( ) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

144

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Introduction to 3-D space, 2-D Parametric sketching and design intent, 3-D Parametric Solid Modeling, Creating engineering documentation, Orthographic hand sketching, Isometric hand sketching

145

Course Number and Name: ENGR 1600, Materials Science for Engineers (Cross listed as: CHEM 1600, PHYS 1600, and ISCI 1600)

Credits and Contact Hours: 4 credits, 4 hours of lecture/wk, 1 hours lab/wk

Instructor and Coordinator: Yunfeng Shi, Associate Professor MSE, 114 MRC

Textbook: W. D. Callister, Jr.: Materials Science and Engineering: An Integrated Approach (Wiley, 2005, 5th Edition)

Supplemental Materials: WileyPLUS on-line homework system, custom lab manual (on-line)

Catalog Description: Introduction to the scientific principles that dictate the structure and properties of engineering materials, including metals, ceramics, semiconductors, and polymers. Physical properties of materials (mechanical, electrical, thermal, optical) are discussed in terms of the underlying bonding and structure, spanning multiple length scales from atomic packing to micron scale defects, in practical engineering materials. Throughout the course, the material behaviors are understood from the viewpoint of thermodynamics and kinetics. Students cannot receive credit for both this course and CHEM 1600, PHYS 1600, or ISCI 1600.

Prerequisite: CHEM 1100 Introductory College Chemistry Co-requisites: None

Course Classification: Required course for BME biomaterials concentration

Course Outcomes: The students who successfully complete this course will be able to: i) Identify the major properties of the different classes of materials (metals, ceramics, glasses, polymers, and electronic materials); ii) Recognize the interdependence of the structure, properties, processing, and performance of materials, and will be able to describe the important parameters that govern the relationships between these four categories; iii) Integrate fundamental materials science with laboratory synthesis and processing, analysis of experimental data, as well as quantitative modeling.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

146

(X) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

(X) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Bonding; Structure; Polymerization, Glasses and the Glass Transition; Mechanical Properties – Macroscopic; Mechanical Properties – Atomic and Molecular; Brittle and Ductile Fracture; Strengthening in Metals; Polymer Deformation Mechanisms and Strengthening; Crystal Defects; Phase Equilibrium; Nucleation and Growth; Microstructure Development; Heat Treatment; Electrochemistry; Corrosion; Electrical Properties of Metals; Semiconductors; Dielectric Materials; Microelectronic Devices

147

Course Number and Name: ENGR 2050, Introduction to Engineering Design

Credits and Contact Hours: 4 hours of studio-lab/week

Course Coordinators: Mark Anderson, Sr. Project Engineer, Core, JEC 2027

Textbook: Product Design and Development, 6th edition, by Karl Ulrich and Steven Eppinger, McGraw-Hill, 2016

Supplemental Materials: None

Catalog Description: A first course in engineering design which emphasizes creativity, teamwork, communication, and work across engineering disciplines. Students are introduced to the design process through a semester-long project which provides a design-build-test experience. Oral and written communication are important elements of the course.

Prerequisites: Prerequisites: (ENGR 1100 or ECSE 1010) and (CIVL 1200 or ENGR 1200 or ENGR1400). Co-requisites: PHYS 1200 (Physics II)

Course Classification: Required for engineering majors, except Chemical Engineering

Course Outcomes: Students who finish this course in a satisfactory manner will: 1. have the capacity to solve engineering design problems, while instilling the importance of creativity in developing innovative solutions. 2. know how to identify customer needs, establish design objectives, and translate these into engineering design specifications. 3. exercise and improve important design skills of visualization, calculation, experimentation, and modeling. 4. have skills in organizing people and ideas for successful design. Skills include teamwork, project management, verbal and written communication, and documentation. 5. be able to function on multi-disciplinary teams and communicate effectively. 6. understand professional and ethical responsibility.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

(X) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

148

(X) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

(X) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(X) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

(X) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Engineering design process including design-build-test, creativity, teamwork, oral and written communication, and multidisciplinary problem solving.

149

Course Number and Name: ENGR 2250, Thermal & Fluids Engineering I

Credits and Contact Hours: 4 credits, 4 contact hours/week

Instructor and Coordinator: Daniel Lander, Lecturer, CIVL, JEC 5028

Textbook: D.A. Kaminski, and M.K. Jensen, Introduction to Thermal and Fluids Engineering, Wiley (2005/2011)

Supplemental Materials: None

Catalog Description: Application of control volume balances of mass, momentum, energy and entropy in systems of practical importance to all engineers. Identification of control volumes, properties of pure materials, mass and energy conservation for closed and open systems, second law of thermodynamics, Bernoulli equation, fluid statics, forces and heat transfer in external and internal flows, conduction and radiative heat transfer.

Prerequisites: ENGR 1100 (Introduction to Engineering Analysis), PHYS 1100 (Physics I) Co-requisites: MATH 2400

Course Classification: Required for AERO, CIVL, ENVE, MECH, NUCL; Required for BME Biomaterials and Biomechanics concentrations.

Course Outcomes: Students who successfully complete this course shall be able to: i) Explain and apply the fundamentals of thermodynamics, heat transfer, and fluid mechanics (e.g. conservation of mass, momentum, and energy, etc.) to types of problems commonly encountered by a practicing engineer; ii) Advance from a solid foundation to more in-depth courses in this field (e.g. Aeronautical, Environmental, Materials, Mechanical, and Nuclear Engineering); iii) Be knowledgeable and conversant with the field of thermal fluids (e.g. Biomedical, Civil, Computer and Systems, Electric Power, Electrical, and Industrial and Management Engineering); iv) Acquire skills in analysing and solving engineering problems.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

150

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Systems, the first law of thermodynamics for closed systems, specific heat of ideal solids and liquids, thermophysical properties, unit systems, ideal gas law, work, specific heats of ideal gases, polytropic processes, the first law as a rate equation, conduction and convection, conduction in cylinders, thermal resistance analogy, lumped systems, combined thermal resistance, fluid statics, forces on submerged surfaces, buoyancy, conservation of mass and energy in open systems, Bernoulli equation, flow measurement devices, conservation of linear momentum, the state principle, nozzles, diffusers, turbines, compressors, pumps, throttles, mixing chamber, heat exchangers, viscosity, laminar flow turbulent flow, Reynolds steady flow energy equation, head, boundary layers, drag, lift, forced convection of external flows, forced convection of internal flows, natural convection.

151

Course Number and Name: ENGR 2350, Embedded Control

Credits and Contact Hours: 4 credits, 6 hours of studio lecture & lab/wk

Instructor and Coordinator: Russell Kraft, Lecturer, ECSE, JONSSN 6028

Textbook: Course-prepared Lab Manual

Supplemental Materials: Many documents and references on course web page or a C- Programming textbook or reference book

Catalog Description: Engineering laboratory introduction to the microprocessor as an embedded element of engineering systems. Students simultaneously develop the hardware and software of one or more target systems during the semester. Topics include concepts and practices of microcontroller hardware and software for command, sensing, control, and display. Specifically this includes control of dynamic systems and sensor interfaces; analog-digital conversion; parallel input/output; driver circuits, modular programming, and subsystem integration.

Prerequisites: CSCI 1010 or CSCI 1100 or CSCI 1190 or permission of instructor Co-requisites: None Course Classification: Required for ECSE, CSYS, MANE; Required for BME Bioimaging/Instrumentation concentration Course Outcomes: Students satisfactorily completing this course will be able to: 1) Configure ports of a microcontroller for digital input, digital output or analog input 2) Configure timers of a microcontroller 3) Configure and use interrupts of a microcontroller 4) Input sensor signals to a microcontroller 5) Create Pulse Width Modulation outputs from a microcontroller 6) Implement simple feedback control loops 7) Debug software and hardware

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

152

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

(X) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Digital I/O, Enabling external devices, Timers, Interrupts, Signal conditioning, A/D conversion, Sensor interfacing, PWM, drive motor and servomotor control, I2C (SMB) bus, Feedback & PD control, and RS232 Serial communications.

153

Course Number and Name: ENGR – 2600, Modeling and Analysis of Uncertainty

Credits and Contact Hours: 3 credits, 3 hours of lecture/wk

Instructor and Coordinator: Mohamed Aboul-Seoud, Lecturer, ISYE, CII 5009

Textbook: Probability and Statistics for Engineering and the Sciences, 9th ed. by Jay L. Devore. Cengage 2016

Catalog Description: Appreciation and understanding of uncertainties and the conditions under which they occur, within the context of the engineering problem-solving pedagogy of measurements, models, validation, and analysis. Problems and concerns in obtaining measurements; tabular and graphical organization of data to minimize misinformation and maximize information; and development and evaluation of models. Concepts will be supported with computer demonstration. Applications to problems in engineering are emphasized.

Prerequisites: MATH 1010 Co-requisites: None

Course Classification: Required for all engineering majors except ECSE.

Course Outcomes: To improve your effectiveness as an engineer by showing you how to account for risk and uncertainty in analysis and design. To achieve this, we will learn how to create (through experimental design), describe (using statistical theory), and model (using probability theory) engineering data and to analyze it using the Minitab statistical software package.

Student Outcomes (Criterion 3): ( ) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

154

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Descriptive statistics, Samples, event, counting techniques, Conditional probability, Baye’s Rule, Independence, discrete random variables and distributions, Continuous random variables and distributions, Joint distributions, Covariance, Correlation, Monte Carlo Simulation, Bootstrap sampling, Linear combination of random variables, Point estimation, Confidence interval for the mean, Hypothesis testing, Power and sample size, t-test, p-value, Inference for 2 population means, Single factor ANOVA, Multiple comparisons in ANOVA, Control charts for process location and variation, Control Chart for attributes, Simple Linear regression, Estimating parameters, Inference about slope, mean, prediction, and correlation, Goodness of fit tests, Contingence tables, Experimentation design.

155

Course Number and Name: ENGR 4010, Professional Development 3

Credits and Contact Hours: 1 credit, 2 hours of studio/week

Instructor and Coordinator: Section 1, Tuesday 10:00-11:50AM Susan Henry, Academy Hall 2232 Section 2, Tuesday 2:00-3:50pm, Karyn Dyer, Academy Hall 2232 Section 3, Wednesday 10:00-11:50am, Casey Jakubowski, Academy Hall 2232 Section 4, Wednesday 10:00-11:50am, Karyn Dyer, Academy Hall 2232 Section 5, Wednesday Noon-1:50pm, Audrey Scranton, Academy Hall 2232 Section 6, Wednesday 2:00-3:50pm, Casey Jakubowski, Academy Hall 2232 Section 7, Thursday 12:00-1:50pm, Sarah Dinolfo, Academy Hall 2232 Section 8, Thursday 2:00-3:50pm, Sarah Dinolfo, Academy Hall 2232 Section 9, Thursday 2:00-3:50pm, Audrey Scranton, Academy Hall 2232 Section 10, Tuesday 2:00-3:50pm, Sarah Dinolfo, Academy Hall 2232 Section 11, Tuesday noon-1:50pm, Susan Henry, Academy Hall 2232 Section 12, Wednesday 10:00-11:50am, Sarah Dinolfo, Academy Hall 2232 Section 13, Wednesday 12:00-1:50pm, Karyn Dyer, Academy Hall 2232 Section 14, Wednesday 2:00-3:50pm, Audrey Scranton, Academy Hall 2232 Section 15, Thursday 10:00-11:50am, Casey Jakubowski, Academy Hall 2232

Textbook: Paul, Richard & Elder, Linda (2009). Critical Thinking Concepts and Tools (6th Ed.). Available online for free @ www.criticalthinking.org/files/Concepts_Tools.pdf.

Supplemental References: All required readings can be found on the course LMS site under Course Content. All handouts and overheads are provided to you through RPI LMS (WebCT). It is the responsibility of the student to use RPI LMS (WebCT) to obtain and review necessary materials and handouts prior to class. Students are responsible for printing and bringing all required documents to class. Materials for each week will become available for viewing/printing the Friday before each class at 1:00pm.

Catalog Description: Students will study issues associated with working in teams in a modern work environment. Various styles of leadership, the definitions of power and empowerment and their applications in industry and team settings will be studied. Additionally, other topics to be explored include vision, values and attitudes, and organizational culture. The course format will include small and large group discussions, case studies, experiential exercises, and regular participation from industry guests.

Prerequisites: ENGR-1010 Professional Development 1 in conjunction with MANE-2220 Inventor’s Studio 1, or ENGR—2050 Introduction to Engineering Design. Co-requisites: None

Course Classification: Required for all Engineering majors

Course Outcomes: Students who successfully complete Professional Development 3 will be able to:

156

1. incorporate philosophical and professional ethical principles into their leadership practices in order to develop personal ethical guidelines 2. utilize critical thinking skills to analyze professional scenarios and determine proper course of action 3. identify their strengths and weaknesses regarding leadership development competencies and articulate a plan for growth 4. recognize the impact of social identities and social inequalities in different professional environments 5. apply leadership and professional development competencies in their professional/academic practice

Student Outcomes (Criterion 3): ( ) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

(X) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(X) 3. an ability to communicate effectively with a range of audiences

(X) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

(X) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: ( ) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

157

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: 1. Leadership Competencies i. Top Performer Differential ii. Direct and Indirect Measures for Success 2. How to Market Yourself i. Organizational Perspective ii. Competency-based Approach iii. STAR Response Method iv. Extemporaneous and Impromptu Speaking v. Verbal and Non-verbal Communication vi. 60-Second Sell 3. Emotional Intelligence and Critical Thinking i. Components of Emotional Intelligence ii. Development of Emotional Intelligence iii. Elements of Critical Thinking 4. Organizational and Cultural Competence i. Levels of Organizational Culture ii. Cultural Fit 5. Ethics i. Four Basic Frameworks for Ethical Decision Making ii. Stakeholders: The Social Contract iii. Tools for Ethical Decisions and Dissent/SPE Code of Ethics

158

Course Number and Name: MATH 1010, Calculus I

Credits and Contact Hours: 4 credits, 4 hours of lecture/wk

Instructor and Coordinator: David Schmidt, Ph.D., MATH, EATON 408

Textbook: Calculus, Early Transcendentals, Rogawski and Adams, 3rd Edition

Supplemental References: None

Catalog Description: Functions, limits, continuity, derivatives, implicit differentiation, related rates, maxima and minima, elementary transcendental functions, introduction to definite integral with applications to area and volumes of revolution.

Prerequisites: None (Assumes high school College prep through Analytic Geometry) Co-requisites: None

Course Classification: Required for students in engineering.

Course Outcomes: The students which finish this course in a satisfactory manner will be able to demonstrate: i) Basic symbol manipulation skills; ii) The ability to relate Calculus concepts to their graphical, numerical and symbolic representations; iii) The ability to construct Calculus models of applied problems described in words; iv) The ability to solve Calculus problems that model real world situations and recover their solutions; v) The ability to apply fundamental theorems and rules from Calculus to solve symbolic and graphical problems; vi) The ability to use and derive some of the basic Calculus definitions and theorems.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

159

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Limits of functions; Continuity; Properties of limits; Composite functions and continuity; Intermediate value theorem; Transcendentals; Inverse functions and their properties; Extrema and uniform continuity; Integrability of continuous functions; Differentiating functions; Algebra of derivatives; The derivative as a slope; The chain rule; Applications of the chain rule; Extreme values of functions;The mean value theorem; First and second derivative tests; Curve sketching; Integration and Differentiation; The derivative of an indefinite integral; Primitive functions

160

Course Number and Name: MATH 1020, Calculus II

Credits and Contact Hours: 4 credits, 4 hours of lecture/wk

Instructor and Coordinator: Daniel Stevenson, Ph.D., MATH, EATON 409

Textbook: Calculus, Early Transcendentals, Rogawski and Adams, 3rd Edition

Supplemental References: None

Catalog Description: Techniques and applications of integration, polar coordinates, parametric equations, infinite sequences and series, vector functions and curves in space, functions of several variables, and partial derivatives.

Prerequisites: MATH 1010 (Calculus I) Co-requisites: None

Course Classification: Required for students in engineering.

Course Outcomes: The students which complete this course in a satisfactory manner will be able to demonstrate: i) Basic and advanced symbol manipulation skills; ii) The ability to convert between calculus concepts and their graphical numerical, and symbolic representations; iii) The ability to apply calculus to selected problems in science and engineering; iv) The ability to apply certain fundamental theorems, basic concepts, and rules from calculus to solve symbolic and graphical problems.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

161

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Riemann Sums and Trapezoidal Sums to calculate area under a curve; Integration Rules for all functions using Indefinite Integrals; Fundamental Theorem of calculus; Integration using Partial Fractions; Integration by Parts; Improper Integrals; Substitution; Advanced Trigonometric Integration; Series and sequences.

162

Course Number and Name: MATH 2010, Multivariable Calculus and Matrix Algebra

Credits and Contact Hours: 4 credits, 4 hours of lecture/wk

Instructor and Coordinator: David Schmidt, Ph.D., MATH, EATON 408

Textbook: Calculus, Early Transcendentals, by Rogawski and Adams, 3rd Edition; And Introduction to Linear Algebra, by Johnson, Reiss, Arnold

Supplemental References: None

Catalog Description: Directional derivatives, maxima and minima, double integrals, line integrals, div and curl, and Green’s Theorem; matrix algebra and systems of linear equations, vectors and linear transformations in R^n, eigenvectors and eigenvalues, applications in engineering and science.

Prerequisites: MATH 1020 Co-requisites: None

Course Classification: Required for BME students.

Course Outcomes: The students which complete this course in a satisfactory manner will be able to demonstrate: i) The ability to evaluate differential form line integrals using path independence and the Fundamental Theorem of Line Integrals; ii) The ability to use Green's Theorem to evaluate circulation line integrals; iii) The ability to solve linear systems using Gauss-Jordan elimination and matrix inverses; iv) The ability to find a basis for and the dimension of subspaces relating to linear systems; v) The ability to compute eigenpairs for a square matrix; vi) The ability to set up limits of integration on iterated integrals to describe both horizontally simple and vertically simple regions, and to evaluate these iterated integrals.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

163

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Functions of several variables; partial derivatives, Limits and Continuity; Gradients and directional derivatives; Optimization in multiple variables; Lagrange multipliers; Iterated integrals; Triple integrals; Polar coordinates; Curl and divergence; Line integrals; Green’s theorem; Divergence theorem; Systems of equations; Homogeneous systems; Inverse matrices; Linear spaces; Determinants; Eigenvalues and Eigenvectors; Diagonalization.

164

Course Number and Name: MATH 2400, Introduction to Differential Equations

Credits and Contact Hours: 4 credits, 4 hours of lecture/wk

Instructor and Coordinator: Mohamed Boudjelkha, Ph.D., MATH, EATON 404

Textbook: Boyce & DiPrima: Elementary Differential Equations and Boundary Value Problems, 10 TH Edition (Wiley)

Supplemental References: None

Catalog Description: First-order differential equations, second-order linear equations, eigenvalues and eigenvectors of matrices, systems of first-order equations, stability and qualitative properties of nonlinear autonomous systems in the plane, Fourier series, separation of variables for partial differential equations.

Prerequisites: MATH 1020 Co-requisites: None

Course Classification: Required for all students in engineering.

Course Outcomes: The students which complete this course in a satisfactory manner will be able to demonstrate: i) The ability to solve linear differential equations of order one and solve nonlinear first order differential equations by the method of separation of variables; ii) The ability to solve second order linear differential equations of constant coefficients; iii) The to apply the methods of undetermined coefficients and variation of parameters to solve linear differential equations; iv) The ability to explain and use the Laplace transformation method to solve differential equations of constant coefficients; v) The ability to solve first order linear systems of differential equations of constant coefficients; vi) The ability to explain and apply Fourier series; vii) The ability to apply Fourier series in solving problems of heat conduction with various boundary conditions; viii) The ability to apply Fourier series to solve problems related to a vibrating string attached at both ends, as well as to boundary value problems related to the Laplace equation; ix) The ability to classify the critical points for the linear system in the plane and determine the type of stability of these points; x) The ability to recognize almost linear systems and determine the points of stability of the pendulum equation, and the Volterra – Lotka equation.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

165

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

( ) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Introduction to and classification of Differential Equations; First Order Differential Equations; Linear Equations and Method of Integrating Factors; Separable Equations; Modeling with First Order Equations; Autonomous Equations and Flows on the Line; Second Order Linear Equations; Homogeneous Equations with Constant Coefficients (Real Distinct Roots, Complex Roots, Repeated Roots); Reduction of Order; Method of Undetermined Coefficients; Variation of Parameters; Mechanical Oscillations and Vibrations Systems; Systems of Linear Algebraic Equations and Eigenvalues/Eigenvectors; Basic Theory of Systems of First Order Linear Equations (Real Distinct Roots, Complex Roots, Repeated Roots); Phase Portraits; Nonlinear Systems and Linearization; Partial Differential Equations; Two-Point Boundary Value (Eigenvalue) Problems; Fourier Series and Orthogonality; Separation of Variables; The Heat Equation; The Wave Equation and Vibrating Strings.

166

Course Number and Name: MTLE 2100, Structure of Engineering Materials

Credit and Contact Hours: 4 credits, 4 hours of lecture/week

Instructor and Coordinator: Dan Lewis, Associate Professor, Department of Materials Science and Engineering

Textbook: Structure of Materials, M. DeGraef and M. McHenry, Cambridge University Press, 2012, ISBN: 978-1-107-00587-7

Supplemental Materials: None

Catalog Description: The first course in Materials Science and Engineering. Structure of metals, ceramics and polymers and experimental techniques for their determination are discussed. Laboratory experience of X-ray diffraction and Infra-red spectroscopy is included. Prerequisites: ENGR 1600 or equivalent. Fall term annually.

Prerequisites: ENGR 1600 (Introductory to Materials Science) Co-requisites: None

Course Classification: Required for materials engineering majors. Required for BME Biomaterials concentration.

Course Outcomes: Students should be ready, upon completion of this course, to take subsequent courses on Materials Science and Engineering curriculum or related field. The student successfully completing this course will be able to: 1. be able to describe and analyze the structure of engineering and biomedical materials using mathematical and crystallographic notation 2. be able to explain the physical principles and physical limitations of characterization methods discussed in class 3. analyze experimental characterization data and correctly identify an unknown engineering material up to the uncertainty of the technique used.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

167

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Crystal structures, X-ray diffraction analysis of crystal structures, Defect such as point defects, dislocation, and surface and interface in crystals and their influence on materials properties.

168

Course Number and Name: PHYS 1100, Physics I

Credits and Contact Hours: 4 credits, 4 hours of lecture/wk

Instructor and Coordinator: Yong Sung Kim, Ph.D., J Rowl 1W20

Textbook: University Physics, 14th Edition by Young and Freedman, Pearson Publishers Required license: Mastering Physics with association to Young and Freedman 14th edition.

Supplemental References: None

Catalog Description: The first semester of a two-semester sequence of interactive courses. Topics include linear and angular kinematics and dynamics, work and energy, momentum and collisions, forces and fields, gravitation, oscillatory motion, waves, sound, and interference.

Prerequisites: None Co-requisites: MATH 1010

Course Classification: Required for all engineering students.

Course Outcomes: The students which complete this course in a satisfactory manner will be able to demonstrate: i) Understanding through observation of physical phenomena; ii) Reasoning about physical phenomena on the basis of available evidence; iii) Use of experimental data in the development, testing, and refinement of theoretical models; iv) Valuation of datasets containing extraneous information and or noise in regard to identifying relevant/important information; v) The ability to design experiments; vi) Application of physical knowledge to engineering/design problems; vii) Ability to apply course material to Improve Thinking Skills through quantitative problem solving involving the application of topics covered.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

169

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: 1 & 2 D acceleration; Newton’s Laws of motion; Conservation of momentum; Work; Gravitational, spring and centripetal forces; Potential energy; Torque and rotational inertia; Conservation of angular momentum; Newton’s universal law of gravitation; Traveling waves, standing waves, sound waves.

170

Course Number and Name: PHYS 1200, Physics II

Credits and Contact Hours: 4 credits, 4 hours of lecture/wk

Instructor and Coordinator: Glenn Ciolek, Ph.D., J Rowl 1W36

Textbook: University Physics, 14th Edition by Young and Freedman, Pearson Publishers Required license: Mastering Physics with association to Young and Freedman 14th edition.

And Young and Freedman, University Physics Dwyer, Lab Manual for Physics II (RPI Custom) 1600361838 Academx

Supplemental References: None

Catalog Description: The second semester of the two-semester sequence of interactive courses. Topics include electric and magnetic forces and fields, Gauss’s Law, dc and ac circuits, Ampere’s Law and Faraday’s Law, electromagnetic radiation, physical optics, and quantum physics.

Prerequisites: PHYS 1100 Co-requisites: MATH 1010

Course Classification: Required for all engineering students.

Course Outcomes: The students which complete this course in a satisfactory manner will be able to demonstrate: i) Factual knowledge of electromagnetism and circuits and basic quantum physics; ii) An understanding of key concepts applying to electromagnetic and circuits and basic quantum physics; iii) The ability to follow written and oral instructions as well as be familiar with the apparatus in order to acquire physical measurements of electric, magnetic, and optical quantities; iv) How academic material related to the topics in this course to the world outside of the classroom; v) How to translate a word, diagrammatic, or graphical description of a physical situation into a solvable mathematical description; vi) The Ability to solve straightforward quantitative physical problems that involve one or two physical concepts in this course; vii) That they can recognize when sufficient information is given to allow the student to solve for required quantities; viii) The derivation useful relationships from basic formulas, and symbolically and quantitatively solve for required quantities; ix) The ability to Solve unfamiliar problems and assess unfamiliar physical situations based on the physical concepts of this course.

Student Outcomes (Criterion 3): (X) 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

( ) 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

( ) 3. an ability to communicate effectively with a range of audiences

171

( ) 4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

( ) 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(X) 6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

( ) 7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

BME Program Criteria: (X) 9.a Applying principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

( ) 9.b Solving bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

( ) 9.c Analyzing, modeling, designing, and realizing bio/biomedical engineering devices, systems, components, or processes.

( ) 9.d Making measurements on and interpreting data from living systems.

Topics: Electric charge; Electric field vector; Electric potential; Relationships between moving charges and magnetic fields; Magnetic forces; Direct and alternating current; wavelength, frequency and light-speed; Wave interference and diffraction; DeBrogie hypothesis; wave-like behavior of particles; introduction to basic quantum mechanics.

172

Appendix B – Faculty Vitae

Ahmad Abu-Hakmeh, Lecturer

Education – degree, discipline, institution, year: Ph.D., Biomedical Engineering Rensselaer Polytechnic Institute 2018 B.S., Biomedical Engineering New Jersey Institute of Technology 2012

Academic experience – institution, rank, title, when (ex. 1990-1995), full time or part time: Rensselaer Polytechnic Institute, Troy, New York Lecturer 2018-present Graduate Research Assistant 2012-2018 Teaching Assistant 2012-2018 New Jersey Institute of Technology, Newark, New Jersey Undergraduate Research Assistant 2011-2012

Non-academic experience – None.

Certifications or professional registrations – None.

Current membership in professional organizations o BMES, ORS

Honors and awards Outstanding Presentation Award; Graduate Research Symposium 2016, ’17, ‘18 Most Valuable Teaching Assistant 2013 Class of ’48 Scholarship 2011-2012 Union County Trust Scholarship Fund 2011-2012 NYSTEM Undergraduate Stem Cell Scholar Award 2011 NJIT Albert Dorman’s Honors College Scholarship 2008-2012 NJIT Faculty Scholarship 2008-2012 NJIT Dean’s List 2008-2012

Service activities (within and outside of the institution) At Rensselaer Polytechnic Institute:  2013 Biomedical Engineering Graduate Committee (Outreach Coordinator)

External Program Activities: o Covenant House 2010: Tutoring Coordinator o 4th Family 2012-2016: Sports Science Module Development o Al-Hidaya Center 2013-Present: Youth Mentor

Editorial Activities: o Scientific Reports 2018

173

Briefly list the most important publications and presentations from the past five years – title, co-authors if any, where published and/or presented, date of publication or presentation 1. Sun, E.Y., Fleck, A.K., Abu-Hakmeh, A.E., Kotsakis, A., Leonard, G.R., and Wan, L.Q. Cartilage metabolism is modulated by synovial fluid through metalloproteinase activity. Ann Biomed Eng 46, 810, 2018 2. Abu-Hakmeh, A.E., Fleck, A., and Wan, LQ. Sequential cytokine treatment promotes synovial lubricant synthesis and reduces MMP activity in fibroblast like synoviocytes. Abstract presented at the Biomedical Engineering Society Annual Meeting, Phoenix, AZ, 2017. Abstract no. 1617 3. Abu-Hakmeh A.E., Fleck A., and Wan L.Q. High molecular weight secretions of cytokine-stimulated fibroblasts promote matrix synthesis in chondrocytes. Abstract presented at the Orthopaedic Research Society Annual Meeting, New Orleans, LA, 2018. Abstract no. 465 4. Abu-Hakmeh, A., Kung, A., Mintz, B.R., Kamal, S., Cooper, J.A., Lu, X.L., et al. Sequential gelation of tyramine-substituted hyaluronic acid hydrogels enhances mechanical integrity and cell viability. Med Biol Eng Comput 54, 1893, 2016 5. Abu-Hakmeh, A.E., and Wan, L.Q. High-Throughput Cell Aggregate Culture for Stem Cell Chondrogenesis. In: Vunjak-Novakovic G., Turksen K., eds. Biomimetics and Stem Cells: Springer; 2014. pp. 11

Briefly list the most recent professional development activities – see Services activities.

174

Monica Agarwal, Lecturer

Education: B.Tech.: Biotechnology, Acharya Nagarjuna University, India 2007 M.S.: Biomedical Engineering, NYU 2009 Ph.D.: Biomedical Engineering, NYU 2014

Academic Experience 2015-present Lecturer, Biomedical Engineering, Rensselaer Polytechnic Institute

Non-academic Experience 2017 - present Technical Advisor, Rezonn Biosystems

Certifications/Professional Registrations None

Current Membership in Professional Organizations  Optical Society of America  IEEE- photonics

Honors and Awards  Professor Turner Alfrey Prize, for best graduate paper in the Dept. of Chemical and Biological Engineering, NYU. 2014  Gold medal recipient for best performance in the department of Biotechnology, Nagarjuna Univeristy. 2007

Service Activities Rensselaer Service Member, Graduate Committee (2017 - present) Organizer, Graduate Symposium (2017, 2018) External Service Serve on advisory board of Rezonn Biosystems, a start-up based on the sensor I designed and patented.

Reviewed papers for 5 technical journals, Applied Optics, Optics express, Optics letters, Optics materials express, IEEE-Photonics.

Publications (most important in last five years)  M. Agarwal and I. Teraoka “Whispering gallery mode dip sensor for aqueous sensing”, Analytical Chemistry 87(20), 10600-10604, 2015.  M. Agarwal and I. Teraoka “All-photonic, dynamic control of optical path length in a silica sphere resonator”, Optics Letters 38(15), 2640-2643, 2013.  M. Agarwal and I. Teraoka “Mode latching and self-tuning of whispering gallery modes in a stand-alone silica microsphere”, Applied Physics Letters 101 (25), 251105, 2012

175

 H. N. Luo, H. Kim, M. Agarwal and I. Teraoka “Light turn-on transient of a whispering gallery mode resonance spectrum in different gas atmospheres” Applied Optics, 52(12), 2834-2840, 2013.

Professional Development: see Service Activities

176

Deva D. Chan, Assistant Professor

Education: B.S.: Bioengineering, University of California at Berkeley, 2004 M.S.: Biomedical Engineering, University of California at Davis, 2008 Ph.D.: Biomedical Engineering, Purdue University, 2012

Academic Experience: 2016-present Assistant Professor (full-time), Biomedical Engineering, Rensselaer Polytechnic Institute (RPI) 2015-2016 Research Fellow (full-time), Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) 2012-2015 Postdoctoral Research Fellow / Instructor (full-time), Division of Rheumatology, Rush University Medical Center

Non-academic Experience: None

Certifications or Professional Registrations: None

Current Membership in Professional Organizations: Biomedical Engineering Society (BMES) American Society of Mechanical Engineers (ASME), Bioengineering Division (BED) Orthopedic Research Society (ORS) International Society for Hyaluronan Sciences (ISHAS) International Society for Magnetic Resonance in Medicine (ISMRM)

Honors and Awards: Arthritis Foundation Postdoctoral Fellowship – 2013-2015 Geddes-Laufman-Greatbatch Award – 2012 James V. Stack Dissertation Award – 2012 Ronald W. Dollens Graduate Scholarship – 2008-2009, 2011-2012 Outstanding Service Scholarship – 2011 Ross Fellowship – 2008-2010

Service Activities: Rensselaer Service Faculty Search Committee, Biomedical Engineering (2016) Student Awards Officer, Biomedical Engineering (2017-present) Public Relations Officer, Biomedical Engineering (2017-present) BME (Senior) Design Advising (1 team, 2017-present) Undergraduate Advising and Counseling (25 students, 2016-present)

External Professional Service Reviewed papers for 10 journals Reviewed graduate fellowships (NSF GRFP)

177

Reviewed research proposals on 2 panels (NSF, DoD PRMRP) Session Co-Chair at BMES Annual Meeting – 2016 Session Co-Chair at Summer Bioengineering, Biomechanics, Biotransport Conference – 2017 Session Chair at Northeast Bioengineering Conference – 2017

Publications (most important in last five years): From 18 peer-reviewed papers,

1. Chan DD, Cai L, Butz KD, Nauman EA, Dickerson DA, Jonkers I, Neu CP. 2017. Functional MRI can detect changes in intratissue strains in a full thickness and critical sized ovine cartilage defect model. J Biomech. ePub ahead of print. 2. Chan DD, Li J, Luo W, Predescu DN, Cole B, Plaas, A. 2017. Pirfenidone reduces subchondral bone loss and fibrosis after murine knee cartilage injury. J Orthop Res. ePub ahead of print. 3. Chan DD, Cao LY, Butz KD, Trippel SB, Nauman EA, Neu CP. 2016. In vivo articular cartilage deformation: noninvasive quantification of intratissue strain during joint contact in the human knee. Scientific Reports. 6: 19220. 4. Chan DD, Xiao WF, Li J, de la Motte CA, Sandy JD, Plaas A. 2015. Deficiency of Hyaluronan Synthase 1 (Has1) Results in Chronic Joint Inflammation and Widespread Intra-Articular Fibrosis in a Murine Model of Knee Joint Cartilage Damage. Osteoarthritis and Cartilage. 23(11): 1879-89 5. Chan DD, Gossett PC, Butz KD, Nauman EA, Neu CP. 2014. Comparison of Intervertebral Disc Displacements Measured Under Applied Loading with MRI at 3.0T and 9.4T. Journal of Biomechanics. 47(11): 2801-6 6. Chan DD, Neu CP. 2014. Intervertebral Disc Internal Deformation Measured by Displacements Under Applied Loading with MRI (dualMRI) at 3T. Magnetic Resonance in Medicine. 17: 1231-7 7. Chan DD, Toribio D, Neu CP. 2013. Displacement Smoothing for the Precise MRI- based Measurement of Strain in Soft Biological Tissues. Computer Methods in Biomechanics and Biomedical Engineering. 16(8): 852-60

Professional Development: Attendance of scientific conferences (Orthopaedic Research Society, Biomedical Engineering Society, Summer Bioengineering Biomechanics Biotransport Conference, International Society for Hyaluronan Sciences) ORS Grant Writing Workshop Also, see external Service Activities

178

David Corr, Associate Professor

Education B.S. University of Wisconsin Engineering Mechanics & Astronautics 1992 M.S. University of Wisconsin Engineering Mechanics & Astronautics 1994 M.S. University of Wisconsin Biomedical Engineering 1998 Ph.D. University of Wisconsin Mechanical Engineering 2001

Academic experience University of Wisconsin Medical School: Muscle Injury & Modeling 2001-2002 Research Associate University of Calgary Human Performance Lab: Skeletal Muscle 2002-2004 Post-Doctoral Fellow – Alberta Ingenuity Fellow University of Calgary McCaig Centre: Joint Injury and Arthritis, 2004-2006 Post-Doctoral - Ernst & Young Fellow in Joint Injury and Arthritis Research Rensselaer Polytechnic Institute Assistant Professor 8/15/2006 – 6/30/2012 Associate Professor 7/1/2012 - present, full-time

Non-academic experience 1. NASA Jet Propulsion Laboratory – California Institute of Technology, Summer 1993 Consultant – developed and verified proposed spacecraft designs in the Advanced Space Design division. Summer 1993, full time

Certifications or professional registrations – none.

Current membership in professional organizations American Society of Mechanical Engineers – Bioengineering Division (ASME-BED) Biomedical Engineering Society (BMES) BMES Advanced Biomanufacturing (ABioM) Special Interest Group Orthopaedic Research Society (ORS) ORS Tendon Section Wound Healing Society

Honors and awards 1995 NASA Group Achievement Award 1996 Polygon Outstanding Teaching Assistant Award – University of Wisconsin. 2001 Graduate Student Mentor Award – University of Wisconsin. 2003 International Society of Biomechanics – Young Investigator Award Finalist. 2005 Ernst & Young Fellow in Joint Injury and Arthritis Research - University of Calgary. 2008 Undergraduate Research Award, School of Engineering, RPI. 2010 NSF CAREER AWARD, National Science Foundation Early Career Award 2011 School of Engineering Research Excellence Award, Junior Faculty

Service activities (within and outside of the institution)

179

External to RPI: Associate Editor, ASME Journal of Biomechanical Engineering 10/2013-present American Society of Mechanical Engineers – Bioengineering Division (ASME-BED) Theme Leader – Musculoskeletal Soft Tissue Mechanics 12/2010-2014 Member, Biosolids Technical Committee 2005-present Member, Cell and Tissue Engineering Technical Committee 2006-present Session organizer and/or chair 2005-present Biomedical Engineering Society (BMES) - Session Chair 2011 Orthopaedic Research Society (ORS) - Session Moderator 2008, ’09, ‘18 International Symposium on Ligaments & Tendons (ISL&T) Scientific Program Chair, ISL&T XV 2016 International Advisory Committee (IAC) member 2014-present International Program Committee Member 2015-present Session Moderator and Award Judge ’08,’09,’15’17 Northeast Bioengineering Conference (NEBEC) Track Chair, Biomechanics Track 2011, 2015 Poster Session Judge, Biomaterials Day (2010) Advanced Manufacturing Conference (AMC) Chair, Biomedical Device Manufacturing Session 2015

Within RPI Biomedical Engineering (BME) Department : Chair, BME Undergraduate Curriculum Committee 8/2014-8/2017 Member, BME Undergraduate Curriculum Committee 2006-10, 2012-17 Member, BME Tissue Engineering Constellation Search Committee AY 2009-10 Coordinator, BME Department Seminar Series 2010-11, 2017-18 Member, BME Graduate Curriculum Committee 2011 NSF CAREER Award Proposal “Coach”, Rensselaer 2011-2012

Publications (most important out of 17 peer-reviewed journal articles in last five years) 1. Kingsley DM, Dias AD, Corr DT. Microcapsules and 3D customizable shelled microenvironments from laser direct-written microbeads. Biotechnol Bioeng (2016), 113: 2264-2274 2. Corr DT, Herzog W. A cross-bridge based model for force depression: Can a single modification address both transient and steady-state behaviors? J Biomech (2016), 49(5):726-734 3. Dias AD, Unser AM, Xie Y, Chrisey DB, Corr DT. Generating size-controlled embryoid bodies using laser direct write. Biofabrication (2014), Apr 3;6(2). PMID 24694373 4. Kingsley DM, Dias AD, Chrisey DB, Corr DT. Single-step laser-based fabrication and patterning of cell-encapsulated alginate microbeads. Biofabrication (2013), Dec;5(4). 5. Schiele NR, Koppes RA, Chrisey DB, Corr DT. Engineering cellular fibers for musculoskeletal soft tissues using directed self-assembly. Tissue Eng Part A (2013), 19(9- 10):1223-32. Briefly list the most recent professional development activities – see Service activities

180

Stanley M. Dunn, Professor

Education BS: Computer Science, Drexel University, 1979 BS: Electrical Engineering, Drexel University, 1979 MS: Computer Science, University of Maryland, 1983 PhD: Computer Science, University of Maryland, 1985 PhD: Imaging Science, Vrije Universiteit te Amsterdam, 1993

Academic Experience Rensselaer Polytechnic Institute, Troy, NY 12180 2014 Professor of Industrial and Systems Engineering (joint) 2008 Vice Provost and Dean, Graduate Education Professor of Biomedical Engineering

School of Dental Medicine, State University of New York at Stony Brook, Stony Brook, New York 1999 - Adjunct Professor 1998 - 1999 Adjunct Associate Professor, Department of Endodontics

School of Engineering, Rutgers University, New Brunswick, N.J. 08854-8014 1986 - 2008 Associate Director, Center for Innovative Ventures and Emerging Technologies

New Jersey Dental School, University of Medicine and Dentistry of New Jersey, Newark, NJ. 07103-2425 1987 – 1996 Acting Chair, Department of Oral Biology, Graduate School of Biomedical Sciences

University of Maryland, College Park, MD. 20742 1985 – 1986 Lecturer, Faculty, Computer Vision Laboratory, Center for Automation Research

Robert Wood Johnson Medical School, University of Medicine and Dentistry of New Jersey, New Brunswick, NJ 08903 1999 - 2006 Professor, Department of Pediatrics

Eastman Dental Center, Rochester, New York 1997 - 1999 Adjunct Associate Professor, Department of Oral Science

New Jersey Institute of Technology, Newark, NJ 07102 1994 – 2001 Adjunct Associate Professor Biomedical Engineering Program

Non-academic Experience 1975 – 1976 Electronic Technician Siemens Corporation, Cherry Hill, N.J.

181

1977 – 1979 Software Engineer Kulicke & Soffa Industries, Horsham, Penna. 19077 1978 – 1984 Consultant Hittman Medical Systems, Columbia, Md. 21045 1984 – 1986 Consultant Stuart Medical Inc., Columbia, Md. 21045 1991 – 1996 Consultant Block Drug Company, Jersey City, New Jersey 1991 – 1996 Consulting Imaging Scientist Maxillofacial Radiology Center, New York, New York 1997 – 2001 Consultant Kennedy Western University, Thousand Oaks, California

Current Membership in Professional Organizations Council of Graduate Schools (CGS) Institute of Electrical and Electronic engineers (IEEE) Northeastern Association of Graduate Schools (NAGS)

Honors and Awards Fellow, American Institute of Medical and Biological Engineering (AIMBE) (2004) Henry Rutgers Research Fellowship (1986-1988)

Service Activities Rensselaer Polytechnic Institute Co-chair, Institutional Review Board (2014-2016) Chair, Intuitional Review Board (2017 - )

Rutgers University Various Committees (1986 – 2008)

University of Medicine and Dentistry of New Jersey Robert Wood Johnson Medical School Bioethics and Public Health Advisory Board (1997- ) Bioethics and Public Health Curriculum Committee (1997- )

New Jersey Dental School Research Committee (1991-1996) Oral Radiologist Search Committee (Chair) (1991-1992) Research Subcommittee of the Accreditation Committee (1990-1991)

Publications (most important in last five years)

A VaR based Approach for Optimal Designs of Nonlinear Regression Models, Prasdah H, Dunn SM, International Conference on Design of Experiments (ICODOE-2016), May, 2016.

Professional Development Council of Graduate Schools Annual Meeting, December 2017 Holistic Review Workshop Presenter

182

Ryan Gilbert, Professor

Education – degree, discipline, institution, year B.S.E. Chemical Engineering, University of Michigan – Ann Arbor 1997 Ph.D. Biomedical Engineering, Case Western Reserve University 2006 Academic experience: Michigan Technology University Assistant Professor 2005 – 2010, full-time Rensselaer Polytechnic Institute Assistant Professor, 8/1/2010 – 5/2013, full-time Associate Professor, 5/2013 – 6/2018 Professor, 7/2018 - present Non-academic experience: Holcim US Inc. 1998 Production Shift Supervisor – managed a team of cement specialists to improve plant efficiency to meet the demand of clients. Angstrom Biosciences Inc. 1997 Quality Assurance Technician – conducted testing on ex-vivo cell proliferation devices used in clinical trials for patients with terminal cancer. Certifications or professional registrations – None. Current membership in professional organizations Biomedical Engineering Society (BMES) Member 2006-Present Society for Neuroscience (SFN) Member 2003-Present Honors and awards 2017 School of Engineering Classroom Excellence Teaching Award 2016 Trustee’s Outstanding Teaching Award (Top Teaching Award at Rensselaer) 2012 NSF CAREER AWARD, National Science Foundation Early Career Award 2008 Finalist: Distinguished Teaching Award (Lecturer/Assistant Professor Category) Service activities (within and outside of the institution): Graduate Program Director 2016-2017 Member, Biomedical Engineering Graduate Student Committee 2014-2017 Member, Biomedical Engineering Undergraduate Curriculum Committee 2010-2013 Member, Biomedical Engineering Clark and Crossan Chair Committee 2010-2012 Member, Biomedical Engineering Faculty Search Committee 2010-2011 Co-chair, Department Chair Search Committee, Biomedical Engineering 2009 Member, Department Chair Search Committee, Biomedical Engineering 2008 Member, Graduate Student Application Review Committee 2006-2008 Member, Undergraduate Curriculum Committee 2007 Department Faculty Search Committee 2006-2008 . Participant of Graduate Information Session 2010-2012 Transfer Student Orientation 2011 Rensselaer SURP Reviewer 2010-2012 ABET Grader, Biomaterials 2012 High School Research Day Poster Judge 2012 Biotechnology Research Center – Travel Grant Committee 2007-2008 Departmental Space Committee 2007-2009 Animal Facility Committee 2007-2009 Confocal Microscope Acquisition Committee 2008-2009 Research Excellence Fund Seed Grant Review Committee 2009 Goldwater Scholarship Selection Committee 2009

183

Judge at Undergraduate Research Expo/Biotechnology Research Forum 2006-2009 Faculty Marshall 2007 Faculty Representative for Scholars of Excellence Dinner 2007 Faculty Representative for Incoming Undergraduate Scholarship Luncheon 2007-2009 Faculty Representative: Academic Mentor Lunch 2007 Briefly list the most important publications and presentations from the past five years – title, co-authors if any, where published and/or presented, date of publication or presentation: Publications from 2016-present (50 publications total): 1. Ganguly D, Johnson CDL, Gottipati MK, Rende D, Borca-Tasciuc D-A, Gilbert RJ. Specific nanoporous geometries on anodized alumina surfaces influence astrocyte adhesion and glial fibrillary acidic protein immunoreactivity levels. ACS Biomaterials Science and Engineering. 2018. 4(1): 128-141. 2. D’Amato AR, Schaub NJ, Cardenas JM, Fiumara AS, Troiano PM, Fischetti A, Gilbert RJ. Removal of retained electrospinning solvent prolongs drug release from electrospun PLLA fibers. Polymer. 2017. 123:121-127. 3. Schaub NJ, D’Amato, AR, Mason A, Corr DT, Harmon EY, Lennartz MR, Gilbert RJ. The effect of engineered nanotopography of electrospun microfibers on fiber rigidity and macrophage cytokine production. Journal of Biomaterials Science, Polymer Edition. 2017. 28(13): 1303- 1323. 4. D’Amato AR, Schaub NJ, Cardenas JM, Franz E, Rende D, Ziemba AM, Gilbert RJ. Evaluation of procedures to quantify solvent retention in electrospun fibers and facilitate solvent removal. Fibers and Polymers. 2017. 18(3): 483-492. 5. Ziemba AM, Gottipati MK, Totsingan F, Hanes CM, Gross MA, Lennartz MR, Gilbert RJ. Sophorolipid butyl ester diacetate does not affect macrophage polarization but enhances astrocytic glial fibrillary acidic protein expression at micromolar concentrations. ACS Chemical Neuroscience. 2017. 8(4): 752-758. 6. Ziemba AM and Gilbert RJ. Biomaterials for local, controlled drug delivery to the injured spinal cord. Frontiers in Pharmacology. 2017. 8:245. 7. Schaub NJ, Johnson CD, Cooper B, Gilbert RJ. Electrospun fibers for spinal cord injury research and regeneration. Journal of Neurotrauma. 2016. 33(15):1405-1415. 8. Koppes AN, Keating KW, McGregor AL, Koppes RA, Kearns KA, Ziemba AM, McKay CA, Zuidema JM, Rivet CJ, Gilbert RJ, Thompson DM. Robust neurite extension following exogenous electrical stimulation within single walled carbon nanotube-composite hydrogels. Acta Biomaterialia. 2016. 39:34-43. 9. Johnson CDL, D’Amato AR, Gilbert RJ. Electrospun fibers for drug delivery after spinal cord injury and the effects of drug incorporation on fiber properties. Cells, Tissues, and Organs. 2016. 202(1-2):116-135. 10. Zuidema JM, Gilbert RJ, Osterhout DJ. Nanoparticle technologies in the spinal cord. Cells, Tissues, and Organs. 2016. 202(1-2): 102-115. Briefly list the most recent professional development activities 1. Grant Review: NIH study sections: BNVT, CMT (2016-2018): Ad hoc. 2. Grant Review: DOD Drug Delivery and Spinal Cord Injury (2017-2018). 3. Abstract Reviewer: Biomedical Engineering Society, Neural Engineering, Drug Delivery, Undergraduate Research (2017). 4. Associate Editor: Cells, Tissues, Organs (2016-Present). Also see Service activities.

184

Juergen Hahn, Professor

Education – degree, discipline, institution, year: Ph.D., Chemical Engineering University of Texas at Austin 2002 M.S., Chemical Engineering University of Texas at Austin 1998 Diploma, Chemical Engineering RWTH Aachen, Germany 1997

Academic experience – institution, rank, title, when (ex. 1990-1995), full time or part time: Rensselaer Polytechnic Institute Department Head 2013-present Professor 2012-present Texas A&M University, College Station, Texas Associate Professor 2009-2012 Assistant Professor 2003-2009 RWTH Aachen, Aachen, Germany Post-Doctoral Researcher 2002-2003 University of Texas at Austin, Austin, Texas Graduate Research Assistant 1997–2001

Non-academic experience – None.

Certifications or professional registrations – None.

Current membership in professional organizations o AAAS, AIChE, AIMBE, BMES, IEEE

Honors and awards IEEE CSS Board of Governors 2016 Trustee of Computer Aids in Chemical Engineering (CACHE) 2014- AIMBE Fellow 2013 CAST Outstanding Young Researcher Award 2010 Ray Nesbitt Professorship II 2010-2012 Keller Faculty Fellowship 2008-2009 Brockett Professorship 2008-2009 Best Paper Award, Chemical Process Control 7 2006 Outstanding Reviewer, Automatica 2005, '06, '07 Best Referee Award, Journal of Process Control 2004 William S. Livingston Graduate Fellowship 2001-2002 David Bruton, Jr. Graduate Fellowship 2000-2001 Springorum Medal 1998 Fulbright Scholarship 1995-1996

Service activities (within and outside of the institution) At Rensselaer Polytechnic Institute  2014 Department Head, Promotion and Tenure Committee (chair), Awards Committee (CBE), Uniform Guidance Committee (institute)

185

 2015 Department Head, Promotion and Tenure Committee (chair), Faculty Search Committee, Awards Committee (CBE)  2016 Department Head, Promotion and Tenure Committee (chair), Faculty Search Committee  2017 Department Head, Promotion and Tenure Committee (chair), ABET Committee (chair), NIH Training Program Minority Recruitment Committee

International Program Committees o Adconip 2014: Advanced Control of Industrial Processes o ADCHEM 2015: International Symposium on Advanced Control of Chemical Processes o DYCOPS 2016: IFAC Symposium on Dynamics and Control of Process Systems o FOSBE 2016: Foundations of Systems Biology in Engineering o Adconip 2017: Advanced Control of Industrial Processes o PSE 2018: Process Systems Engineering o MATHMOD 2018: 9th Vienna International Conference on Mathematical Modelling

Editorial Activities o Automatica (IFAC) 2011-2014 o Journal of Process Control (IFAC) 2010- o Control Engineering Practice (IFAC) 2007- o Processes 2015-

Briefly list the most important publications and presentations from the past five years – title, co-authors if any, where published and/or presented, date of publication or presentation 1. D.P. Howsmon, U. Kruger, S. Melnyk, S.J. James, and J. Hahn. Classification and Adaptive Behavior Prediction of Children with Autism Spectrum Disorder based upon Multivariate Data Analysis of Markers of Oxidative Stress and DNA Methylation. PLoS Computational Biology 13(3): e1005385 (2017). 2. J.A. Jones, V.R. Vernacchio, A.L. Sinkoe, S.M. Collins, M.H. Ibrahim, D.M. Lachance, J. Hahn, M.A. Koffas. Experimental and Computational Optimization of an Escherichia Coli Co-culture for the Efficient Production of Flavonoids. Metabolic Engineering 35, pp. 55- 63 (2016). 3. P. Zhang, W. Dai, J. Hahn, and S.P. Gilbert. Drosophila Ncd Reveals an Evolutionarily Conserved Powerstroke Mechanism for Homodimeric and Heterodimeric Kinesin-14s. PNAS 112, No. 20, pp. 6359-6364 (2015). 4. T. Omer, X. Intes, and J. Hahn. Temporal Data Set Reduction Based on D-optimality for Quantitative FLIM-FRET Imaging. PLoS ONE 10(12): e0144421 (2015). 5. W. Dai, J. Kang, and J. Hahn. Reconstruction of Transcription Factor Profiles via Dynamic Optimization and Tikhonov Regularization. AIChE Journal 60, No. 11, pp. 3754–3761 (2014). Briefly list the most recent professional development activities – see Services activities.

186

Mariah Hahn, Professor

Education BS, Chemical Engineering University of Texas at Austin, Austin, TX 05/1998 MS, Electrical Engineering Stanford University, Stanford, CA 01/2001 PhD, Electrical Engineering MIT (Bioelectrical Concentration) 09/2004

Academic experience Rice University Post-Doctoral Researcher 2004-2005; FT Texas A&M University Assistant Professor 08/2005-08/2011; FT Associate Professor 09/2011-05/2012; FT Rensselaer Polytechnic Institute Associate Professor 05/2012 – 06/2015; FT Professor 07/2015 – present; FT

Non-academic experience –None

Certifications or professional registrations - None

Current membership in professional organizations American Institute of Chemical Engineers (AIChE), Biomedical Engineering Society (BMES), Society for Biomaterials (SFB), American Chemical Society (ACS), American Society of Engineering Education (ASEE), American Association for the Advancement of Science (AAAS)

Honors and awards Outstanding Reviewer – Acta Biomaterialia 2014 Research Featured in the Rensselaer Alumni Magazine Fall 2014 NAE 2010 Frontiers of Engineering Symposium Participant 2010 NSF CAREER Award 2010-2015 ASEE GSW Young Faculty Award 2009 College of Engineering Select Young Faculty Award 2009 ACS PROGRESS/Dreyfus Lectureship Award 2008 National Science Foundation Graduate Fellowship 1999-2002 John Linvill Fellowship 2000 Jodie Isenhower Presidential Scholarship 1997 National Science Scholar 1995

Service activities College of Engineering Honors and Awards Committee Member, 2006-2007 Chemical Engineering Undergraduate Committee Member, 2008-2011 Graduate Admissions Committee, 2009 Faculty Search Committee Member, 2009-2010 Biomedical Engineering Undergraduate Committee Head, 2012-2014 Biomedical Engineering ABET Committee, 2012-present Biomedical Engineering Pre-Med Faculty Advisor, 2015-present

187

Briefly list the most important publications and presentations from the past five years – title, co-authors if any, where published and/or presented, date of publication or presentation 1. R. Fei, H. Hou, D.J. Munoz‐Pinto, A. Han, M.S. Hahn, M. Grunlan (2014). Thermoresponsive double network micropillared hydrogels for controlled cell release. Macromolecular Bioscience, 14(9):1346‐52. 2. D. Zhang, D.J. Munoz‐Pinto, M.S. Hahn, M.A. Grunlan (2014). A bioactive "self‐fitting" shape memory polymer (SMP) scaffold with potential to treat cranio‐maxillofacial (CMF) bone defects. Acta Biomaterialia, 10(11):4597‐605. 3. M.B. Browning, V. Guiza, B. Russell, J. Rivera, M. Höök, M.S. Hahn, and E.M. Cosgriff‐ Hernandez (2014). Endothelial cell response to chemical, biological, and physical cues in bioactive hydrogels. Tissue Engineering Part A. 20(23‐24):3130‐41. 4. Y. Peng, D.J. Munoz‐Pinto, M. Chen, J. Decatur, M. Hahn, R. Gross (2014). Poly(sophorolipid) structural variation: Effects on biomaterial physical and biological properties. Biomacromolecules. 15(11): 4214‐27. 5. 47. D.J. Munoz‐Pinto, A.C. Jimenez‐Vergara, T. Gharat, M.S. Hahn (2015). Characterization of sequential collagen‐poly(ethylene glycol) diacrylate interpenetrating networks and initial assessment of their potential for vascular tissue engineering. Biomaterials. 40:32‐42.

Briefly list the most recent professional development activities Editorial Board – Scientific Reports (Nature Publishing Group) 2013‐present SFB, Tissue Engineering Special Interest Group “Chair” 2011-2013 AIChE, Area 8B (Biomaterials) Program Chair 2011-2012 SFB, Awards Committee 2011-2012 SFB, Membership Committee 2010-2011 AIChE, Area 8B (Biomaterials) Program Vice-Chair 2010-2011 SFB, Tissue Engineering Special Interest Group “Program Chair” 2009-2011 AIChE, Women’s Initiative Committee Chair 2008-2009 AIChE, Women’s Initiative Committee Vice Chair 2007-2008 Also see Service Activities.

188

Xavier Intes, Professor

Education: degree, discipline, institution, year Ph.D. Department of Physics, University of Bretagne Occidentale, Brest, France, 1998 Diplome d’Etudes Approfondies (D.E.A.), Department of Physics, University of Bretagne Occidentale, Brest, France, 1994 Master of Science (Physics), Department of Physics, University of Bretagne Occidentale, Brest, France, 1993 Bachelor of Science (Physics), Department of Physics, University of Bretagne Occidentale, 1992 Academic experience: – institution, rank, title, when (ex. 1990-1995), full time or part time University of Bretagne Occidentale, Brest, France Lecturer (A.T.E.R.), Department of Physics 1997-1998, Full-time University of Pennsylvania Post-Doctoral Research Fellow, Dept of Astronomy/Physics 2001-2003, Full-time Post-Doctoral Research Fellow, Department of Radiology 2000-2001 Visiting Scholar, Medical Diagnostic Research Foundation 1999-2000 Rensselaer Polytechnic Institute Assistant Professor 2006-2011, Full-time Associate Professor 2011-present, Full-time Professor 2016-present, Full-time Non-academic experience: Advanced Research Technologies inc. (ART), St Laurent, QU, Canada. Tasks: Managed Research and Development activities of the company, including supervising research teams (8 members). Optical Devices Inc., Director of Research (2002-2003, Full-time; Tasks: Articulated research development in relation with the Medical Research Diagnostic Research Foundation agenda. Medical Diagnostic Research Foundation (MDRF), Director of Research (2001-2003) Full-time. Tasks: Defined with Dr. Britton Chance, C.E.O. of MDRF, axis of research and secured relevant funding opportunities. Supervised research personnel and activities. Certifications or professional registrations - None Current membership in professional organizations: SPIE (since 1998); Optical Society of America (since 1998); IEEE Photonic society (since 2009); IEEE EMBS (since 2009); Fellow AIMBE 2016 Honors and awards: First prize in the technical category; Outstanding Instrument Research paper 2005; Recipient of French government National Merit Training Fellowship award; Recipient of French government National Merit Scholarship award; Fellow AIMBE 2016; NSF CAREER Award Service activities (within and outside of the institution): 2017-present Graduate Committee, Depart. of Biomedical Eng. - Graduate Admission Officer 2017 School of Engineering Awards Committee, RPI 2016-2017 BME seminar series organization, Depart. of Biomedical Engineering 2016-2017 Chair Faculty Search Committee, Depart. of Biomedical Eng. (1 position). 2015-2016 Chair Faculty Search Committee, Depart. of Biomedical Eng. (2 positions). 2014-2015 Member Faculty Search Committee, Depart. of Biomedical Eng.

189

2013-present co-Director BioImaging Center, RPI. 2012-2015 Undergraduate Curriculum Committee, Depart. of Biomedical Engineering 2012-2013 Member Faculty Search Committee, Depart. of Biomedical Engineering 2010-2012 School of Engineering Curriculum Committee, RPI 2009-present Bioimaging core oversight committee, RPI 2009-2010 Graduate Committee, Department of Biomedical Engineering. 2008-2009 Faculty Search Committee, Department of Biomedical Engineering. 2008 BioResearch core manager search committee, CBIS, RPI 2008 BioResearch core director search committee, CBIS, RPI 2008-2009 Undergraduate Curriculum Committee, Depart. of Biomedical Engineering 2007-2009 Institutional Animal Care and Use Committee (IACUC), RPI 2006-2008 Biomedical Engineering Laboratory task force, Depart. of Biomedical Eng. 2006-2008 Graduate Committee, Department of Biomedical Engineering Briefly list the most important publications and presentations from the past five years: 1. Imaging from cells to animals in vivo, M Barroso and X Intes Editors, CRC Press, in progress. 2. Translational Multimodality Optical Imaging, Fred S Azar and X Intes Editors, Artech House Publishing, 386 pages, 2008 3. Conference Proceedings Volume (10): 4. Multimodal Biomedical Imaging XII, FS Azar, X Intes Editors, SPIE 10057, 132 pages, 2017. 5. Multimodal Biomedical Imaging XI, FS Azar, X Intes Editors, SPIE 9701, 184 pages, 2016. 6. Multimodal Biomedical Imaging X, FS Azar, X Intes Editors, SPIE 9316, 122 pages, 2015. 7. Multimodal Biomedical Imaging IX, FS Azar, X Intes Editors, SPIE 8937, 202 pages, 2014. 8. Multimodal Biomedical Imaging VIII, FS Azar, X Intes Editors, SPIE 8574, 152 pages, 2013. 9. W. Cong, X Intes and G Wang, “Optical tomographic imaging for breast cancer detection,” JBO 22(9), 096011 (2017). 10. F Yang, M Ozturk, R Yao and X Intes, “Improving Mesoscopic Fluorescence Molecular Tomography Computational Efficiency through Data Reduction,” Biomedical Optics Express 8(8), 3868-3881 (2017). 11. F Long and X Intes, “Dental optical tomography with UCNPs,” Journal of Biomedical Optics 22(6), 066001 (2017). 12. Q Pian, R Yao, N Sinsuebphon, X Intes, “Compressive Hyperspectral Time-resolved Wide- Field Fluorescence Lifetime Imaging,” Nature Photonics 11, 411-417 (2017). http://rdcu.be/te9i 13. W Han, F Long, W Cong, X Intes and Ge Wang, “Radiative transfer with delta-Eddington- type phase functions,” Applied Mathematics and Computation 300, 70-78 (2017). 14. F Long, F Li, X Intes and S Kotha, “Efficient optical radiative transfer equation modeling by streamline diffusion modified continuous Galerkin method,” Journal of Biomedical Optics 21(3), 036003 (2016). Briefly list the most recent professional development activities – see Service Activities.

190

Uwe Kruger, Professor of Practice

Education – degree, discipline, institution, year: Postgraduate Certificate, Higher Education Teaching, Queen’s University Belfast, United Kingdom, 2005; Doctor of Engineering, Mechanical Engineering, University of Manchester, United Kingdom, 2002; Diploma, Management Science, University of Manchester Institute of Science and Technology (UMIST), United Kingdom, 1998; Diploma, Mechanical Engineering, University of Essen, Germany, 1996. Academic experience – institution, rank, title, when (ex. 1990-1995), full time or part time: Rensselaer Polytechnic Institute, Troy NY, Professor of Practice, 2014 – , full time; Sultan Qaboos University, Muscat, Sultanate of Oman, Associate Professor, 2012 – 2014, FT; The Petroleum Institute, Abu Dhabi, United Arab Emirates, Associate Professor, 2007 – 2012, full time; Queen’s University Belfast, United Kingdom, Lecturer (Assistant Professor, tenured), 2005 – 2007, full time; Queen’s University Belfast, United Kingdom, Lecturer (Assistant Professor, tenure -track), 2001 – 2005, full time. Non-academic experience – company, title, brief description, when, full time or part time: Control Technology Center (CTC), Manchester, United Kingdom, Research Engineer, Software Development and R&D, 1996 – 2000, full time; R. Woeste & Co., Assistant Engineer in Foundry Technology, Designing and Manufacturing Molds, 1984 – 1988, full time. Certifications or professional registrations: Fellow, Higher Education Academy (HEA), United Kingdom, recognition reference: 30346, certificate awarded: 9. March, 2007; and Registered practitioners, Higher Education Academy (HEA), United Kingdom, practitioner reference: 30346, certificate awarded: 14. February, 2006. Current membership in professional organizations: Senior Member of the Institute of Electrical and Electronic Engineers (SMIEEE), (Member since 2003) Honors and awards: Excellence in Review Award, Industrial & Engineering Chemistry Research, 2015, 2016 and 2017; Trustee Celebration of Faculty Achievement Award, Rensselaer Polytechnic Institute, 2015. Service activities (within and outside of the institution): Service Activities within Institution: - Advisor of around 50 advisees - Head Undergraduate Advisor for BME (2015 – ) - Advisor for Transfer Students (2015 – ) - Degree Clearance Officer for BME (2015 – ); - Transfer Credit Approval/Study Abroad Evaluator for BME (2015 – ); - Member: BME Undergraduate Curriculum Committee (2016 – );

191

- Member: Baccalaureate Degree Committee (2015 – ); Service Activities outside Institution: - Associate Editor for Control Engineering Practice (2015 – ); Most important publications and presentations from the past five years: Fu, Y., Kruger, U., Li, Z., Xie, L., Thompson, J., Rooney, D., Hahn, J., Yang, H., “Cross- validatory framework for optimal parameter estimation of KPCA and KPLS models”, Chemometrics & Intelligent Laboratory Systems, Vol. 167; pp. 196-207, 2017; Howsmon, D.P., Kruger, U., Melnyk, S., James, S.J., Hahn, J., “Classification and Adaptive Behavior Prediction of Children with Autism Spectrum Disorder based upon Multivariate Data Analysis of Markers of Oxidative Stress and DNA Methylation”, PLOS Computational Biology, Vol. 13, No. 3, e1005385, https://doi.org/10.1371/journal.pcbi.1005385, 2017; Zeng, J., Luo, S., Cai, J., Kruger, U., Xie, L., “Nonparametric density estimation of hierarchical probabilistic graph models for assumption-free monitoring”, Industrial & Engineering Chemistry Research, Vol. 56, No. 5, pp. 1278-1287, 2017; Xie, L., Li, Z., Zeng, J., Kruger, U., “Block Adaptive Kernel Principal Component Analysis for Nonlinear Process Monitoring”, AIChE Journal, Vol. 62, No. 12, pp. 4334-4345, 2016 Shan, H., Zhang, J., Kruger, U., “Learning Linear Representation of Space Partitioning Trees Based on Unsupervised Kernel Dimension Reduction”, IEEE Transactions on Cybernetics, Vol. 46, No. 12, pp. 3427-3438, 2015; Li, Z., Kruger, U., Xie, L., Almansoori, A., Su, H. “Adaptive KPCA Modeling of Multivariate non-Causal Nonlinear Systems”, IEEE Transactions on Signal Processing, Vol. 63, No. 9, pp. 2364-2376, 2015; Lin, Y., Kruger, U., Zhang, J., Wang, Q., Lamont, L., Chaar, L., “Seasonal Analysis and Prediction of Wind Energy Using Ran-dom Forests and ARX Model Structures”, IEEE Transactions on Control Systems Technology, Vol. 23, No. 5, pp. 1944 -2002, 2015; Zeng, J., Kruger, U., Geluk, J., Wang, X., Xie, L., “Detecting Abnormal Situations Using the Kullback-Leibler Divergence”, Automatica, Vol. 50, No. 11, pp. 2777-2786, 2014; Li, Z., Kruger, U., Wang, X., Xie, L., “An Error-in-Variable Projection to Latent Structure Framework for Monitoring Technical Systems with Orthogonal Signal Components”, Chemometrics & Intelligent Laboratory Systems, Vol. 133, pp. 70 -83, 2014; Feital, T., Kruger, U., Dutra, J., Pinto J.C., Lima, E.L., “Modeling and Performance Monitoring of Multivariate Multimodal Processes”, AIChE Journal, Vol. 59, No. 5, pp. 1557-1569, 2013; Kruger, U., Xie L., “Statistical Monitoring of Complex Multivariate Processes: With Applications in Industrial Process Control”, Statistics in Practice Series (Business and Industrial Statistics Section), John Wiley & Sons, New York, U.S.A., publication date: 08. September 2012, 472 pages, peer reviewed; Most recent professional development activities: Co-Editor for ISO Standard 15746, Technical Committee 148, Working Group 5;

192

Eric Ledet, Associate Professor Education – PhD Biomedical Engineering, Rensselaer Polytechnic Institute 2003 MS Biomedical Engineering, Rensselaer Polytechnic Institute 1995 BS Mechanical Engineering, University of Arizona 1993 Academic experience – Rensselaer Polytechnic Institute Associate Professor 2012-present, Full time Assistant Professor 2006-2012, Full time Albany Medical College Adjunct Assistant Professor 2005-Present, Full time Rensselaer Polytechnic Institute Research Assistant Professor 2004-2006, Full time Clinical Professor 2004-2006, Full time Albany Medical College Assistant Professor 2004, Full time Rensselaer Polytechnic Institute Adjunct Faculty 2000-2001, Full time Albany Medical College Instructor of Surgery 1996-2003, Full time Research Staff 1995-1996, Full time Non-academic experience – Stratton VA Medical Center Research Scientist 2017-present, Part time ReVivo Medical, LLC Chief Science Officer 2012-present, Part time Certifications or professional registrations Professional Engineer In Training, License Number 05508, State of Arizona, 1993. Current membership in professional organizations American Society for Engineering Education, 2009 – Present. Biomedical Engineering Society, 2003 – Present. Orthopaedic Research Society, 2002 – Present. North American Spine Society, 2001 – Present. Honors and awards  “Best Trauma Poster.” Awarded by the Orthopaedic Research Society.  “Rensselaer Alumni Association Teaching Award.” Rensselaer Polytechnic Institute.  “2015 ISSLS Prize.” Awarded by the journal SPINE.  “Best Original Research Paper.” Awarded by the Journal of Sports Health.  “Annual Program Innovation Award.” Awarded by the Cerebral Palsy Assoc. of NYS.  “Best Paper – Basic Sciences.” North American Spine Society.  “Board of Trustees Outstanding Teaching Award.” Rensselaer Polytechnic Institute.  “Media Spotlight Award”. Awarded by the Orthopaedic Research Society.  “Top Ten Medical Breakthroughs of 2012.” Awarded by Consumers Digest Magazine.  “Annual Technology Innovation Award.” Capital Region Center for Economic Growth  “Class of 1951 Outstanding Teaching Award.” Rensselaer Polytechnic Institute.

193

 President’s Citation Award (Best Abstract), Annual Meeting of the American Academy of Physical Medicine and Rehabilitation. “  Rensselaer Polytechnic Institute School of Engineering Annual “Excellence In Education” Award. 2007.  Albany Medical Center “Employee of the Month”. August, 1998.  Phi Eta Sigma, University of Arizona Honor Society, 1989-1993. Service activities (within and outside of the institution) - Abstract or manuscript reviewer for Current Rheumatology Reviews, North American Spine Society, European Spine Journal, Journal of Orthopaedic Research, Orthopaedic Research Society, Annals of Biomedical Engineering. - Grant reviewer for NIH Musculoskeletal, Oral & Skin Sciences SBIR/STTR and for Musculoskeletal, Oral and Skin Sciences Special Emphasis Panel Study Sections and for National Research Foundation of South Africa. - Organizing Committee Member. Biomedical Engineering Innovation Design and Entrepreneurship Alliance (IDEA) National Meeting 2016 and 2018. - RPI Dept. of Biomed. Engr. Chair, Undergraduate Curriculum Committee. 2017-Present. - RPI Dept. of Biomed. Engr. Undergraduate Curriculum Committee member. 2015-2016. - RPI Bioimaging Core Oversight Committee. Center for Biotechnology and Interdisciplinary Studies. 2011 – Present. - RPI Department of Biomedical Engineering Industry Liaison. 2010-2015. - RPI School of Engineering Curriculum Committee. 2009-2010. - RPI Department of Biomedical Engineering Graduate Curriculum Committee. Ad hoc member. 2008-2009. - RPI School of Engineering “Engineer of the Future Task Force”. 2006-2007. - RPI School of Engineering Curriculum Committee. 2006-2007. - RPI Institute Prehealth Professions Committee. 2006-2015. - RPI Department of Biomedical Engineering Undergraduate Curriculum Committee. 2004- 2007. Publications and presentations: Peterson JM, Healey CP, Visser GJ, Crombie C, Ledet EH. Pressure Ulcer Prevention: Optimizing a Temporally Redistributing Support Interface. American Journal of Engineering and Applied Sciences, 2016;9(4):1222-31. Ledet EH, Peterson JM, Wachs RA, Grabowsky MBM, Glennon JC, DiRisio DJ. Direct Measure of Cervical Interbody Forces In Vivo: Load Reversal After Plating. The Spine Journal 2016; 16(10S):S238-9. Gullbrand SE, Peterson J, Ahlborn J, Mastropolo R, Fricker A, Roberts TT, Abousayed M, Lawrence JP, Glennon JC, Ledet EH. Dynamic Loading-Induced Convective Transport Enhances Intervertebral Disc Nutrition. SPINE, 2015; 40(15):1158-64. Drazan JF, Gunko AA, Abdoun O, Healey C, Dion M, Cady N, Connor KP, Ledet EH. Archimedean Spiral Pairs With No Electrical Connections as Passive Wireless Implantable Force Sensors. The Journal of Biomedical Technology and Research, 2014; 6000104:1-8. PMCID: PMC4945132. Dezman ZDW, Ledet EH, Kerr HA. Neck Strength Imbalance Correlates With Increased Head Acceleration in Soccer Heading. Sports Health Journal, 2013; 5(4):320-6.

Briefly list the most recent professional development activities – see Service Activities.

194

Randall McFarlane, Lecturer Education Ph.D., Chemical Engineering Queen’s University, Canada 1987 M.Eng., Chemical Engineering McMaster University, Canada 1980 B.A.Sc., Chemical Engineering University of Waterloo, Canada 1978

Academic experience Rensselaer Polytechnic Institute Lecturer, Full time 2018-present Queen’s University Graduate Research Assistant 1983 - 1986

Non-academic experience General Electric Global Research Center Principal Engineer 2013 – 2017 Aspen Technology Director 2007 – 2013 Invensys Advanced Technology Division Senior Consultant 1995 – 2007 Amoco Research Center Associate Research Engineer 1987 - 1995

Certifications or professional registrations – None.

Current membership in professional organizations - None.

Honors and awards Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Scholarship 1982-1985 Queen’s University Graduate Award 1983 - 1984 Ontario Graduate Scholarship 1979

Service activities (within and outside of the institution) – None.

Editorial Activities – None.

Briefly list the most important publications and presentations from the past five years – title, co-authors if any, where published and/or presented, date of publication or presentation – None.

Briefly list the most recent professional development activities – None.

195

Hisham Mohamed, Lecturer

Education B.S. University of Ain Shams Electrical Engineering 1993 M.S. University of Minnesota Biomedical Engineering 1997 Ph.D. University of Minnesota Biomedical Engineering 2000

Academic experience Rensselaer Polytechnic Institute Lecturer 2014 – Spring only Egypt-Japan University of Science and Visiting Assistant 2014-2016 – part time Technology(E-JUST) Professor Rensselaer Polytechnic Institute Lecturer 2016 – present, full time

Non-academic experience 1. Egypt Nanotechnology Center, Senior Research Scientist, 2009-2016, member of the core team working with IBM T. J. Watson Research Center to establish a nanotechnology research center in Egypt. 2. IBM T. J. Watson Research Center, Visiting Scientist, 2009-2011, conducting research and developing capabilities for mc-Si based solar cells R&D to be transferred to new center in Egypt. 3. Wadsworth Center, New York State Department of Health, Research Scientist III, 2006- 2009, conducting research and developing microfluidic devices for cancer screening, DNA purification, sample preparation for time-resolved TEM imaging. 4. Wadsworth Center, New York State Department of Health, Research Affiliate, 2002- 2006, conducting research and developing microfluidic devices for cancer screening, isolation of fetal cells from maternal circulation, bio-sensing, and DNA purification. 5. Coventor Inc., Senior Field Application Engineer, 200-2002, trained engineers and researchers on modeling and simulating MEMS (Micro Electro Mechanical Systems). 6. XRT Corp., acquired By Medtronic in 1999, 1998-2000, Electrical Engineer. Assisted in designing and later lead the development of the x-ray control unit.

Certifications or professional registrations – none

Current membership in professional organizations – none

Honors and awards The Best Abstract of Interest to the Industry Division, American Association for Clinical Chemistry, San Diego, CA, July 16-20, 2007.

Service activities – Ad hoc reviewer for: IEEE Transactions on Biomedical Engineering. Journal of Chromatography A. Journal of Microelectromechanical Systems. Journal of Electronic Packaging. Nanotechnology Reviews

196

The 22nd IEEE International Conference on Microelectronics, ICM10. IEEE 56th International Midwest Symposium on Circuits and Systems, MWSCAS 2013. Workshops: “BioMEMS: an enabling technology,” The 22nd IEEE International Conference on Microelectronics (ICM10), Cairo, Egypt, December 19-22, 2010. “Bio-medical applications of microelectromechanical systems”, Mansoura Univ. Nanotechnology Center Workshop, Mansoura, Egypt, 07/2012 and 09/2015.

Publications (most important in last five years) 1. Book Chapter - H. Mohamed, “Use of Microfluidic Technology for Cell Separation,” in the Book “Blood Cell, An Overview of Studies in Hematology”, Intech 2012. 2. Patent - A. Abou-Kandil, A. Maarouf, G. Martyna, H. Mohamed, and D. Newns “Doped, passivated graphene nanomesh, method of making the doped, passivated graphene nanomesh, and semiconductor device including the doped, passivated graphene nanomesh,” US 8,900,538 B2, Dec. 2014. 3. Patent - A. Abou-kandil, K. Fogel, A. Hong, J. Kim, H. Mohamed, and D. Sadana, “Photovoltaic device using nano-spheres for textured electrodes,” US 8,916,409 B2, Dec 2014. 4. Patent application- A. Abou-kandil, O. Tobail, J. Kim, H. Mohamed, D. Sadana, K. Fogel, and G. Tulevski, “Photovoltaic device using nano-spheres for textured electrodes,” Patent Application, US 2013/0095599 A1, April 2013. 5. Patent application - Ahmed Abou-Kandil, Keith E. Fogel, Augustin J. Hong, Jeehwan Kim, Hisham S. Mohamed, Devendra K. Sadana, “Photovoltaic device using nano- spheres for textured electrodes”, US20150075608 A1, November 2014.

Briefly list the most recent professional development activities – See Service Activities.

197

Deanna Thompson, Associate Professor Education: BSE Chemical Engineering, University of Michigan, Ann Arbor MI, 1993 MS Chemical Engineering, Rutgers, The State University of New Jersey 2000 PhD Chemical Engineering, Rutgers, The State University of New Jersey 2001 Academic experience: Rensselaer Polytechnic Institute Graduate Program Admissions, Department of Biomedical Engineering 2014-2017 Graduate Program Director, Department of Biomedical Engineering 2011 – 2014 Associate Professor, Department of Biomedical Engineering 2011-present, FT Assistant Professor, Department of Biomedical Engineering 2004-2011, FT Harvard Medical School, Shriners Burns and Massachusetts General Hospitals Post-doctoral Research Fellow, Center for Engineering in Medicine 2001-2004, FT Rutgers, The State University of New Jersey Guest Instructor, Department of Biomedical Engineering 2003, FT Instructor & Course Developer, Department of Chemical Engineering, 1999-2000, PT Lecturer, Department of Mathematics 1998-1999, PT Harvard Medical School (Boston MA Lab Instructor, Division of Health Sciences and Technology 2001-2002, FT Rutgers, The State University of New Jersey Pre-doctoral Research Fellow, Department of Chemical Engineering, 1996-2001, FT Teaching Assistant, Department of Chemical Engineering 1995-1996, FT Non-academic experience: Warner Lambert Parke-Davis Research Intern, Cardiovascular Pharmacology 1-7/1994, FT Certifications or professional registrations – None. Current membership in professional organizations: Member, Biomedical Engineering Society 1996 - present Member, Society for Women Engineers 2010 - present Honors and awards: Rensselaer School of Engineering Research Excellence Award (Jr. Faculty) 2010 Rensselaer Representative, BMES Educational Summit 2008 Sel. Participant, NATO ARW: Nanoengineered Systems in Regen. Med., Bulgaria 2007 JD Watson Young Investigator Award 2005 Selected Participant, Engineering Education Scholar’s Workshop 2002 American Association of University Women Selected Professions’ 2000-2001 Dissertation Fellowship Johnson & Johnson Graduate Research/Dissertation Fellowship 1999-2000 Rutgers University Teaching Dissertation Award 1999 NIH Interdisciplinary Biotechnology PhD Training Program Fellowship 1996-1999 Service activities (within and outside of the institution): Department of Biomedical Engineering/Center for Biotechnology and Interdisciplinary Studies Graduate Program Director 2011 –2014 Graduate Admissions 2014 - 2017 Graduate Committee 2004 – 09, 2011-2017 Faculty Search Committee 2009 – 11 198

Coordinator Biomedical Engineering Department Seminar Series 2008 - 10 Coordinator, Biomedical Engineering Department RAMP-UP Activities 2008 – 09 ABET Committee Member 2017-present Member, CBIS Microscopy CORE Director Search committee 2005, 2012 Member, CBIS Microscopy/Tissue Culture CORE Committee 2006 – present Exec. Committee, NIH BioMolecular Sciences Pre-doctoral Training 2011 – present Institute: SoE Childcare Taskforce Committee 2006 - 2008 Ad-hoc committee on Academic Integrity 2007- 2009 Summer Orientation 2005-2006, 2008-12 PREFACE@ Rensselaer 2007, 2009 FIP Mentor 2008, 2009, 2012, 2013 Faculty Co-Advisor, Society of Women Engineers 2009-present Faculty for the Future – Grad. Student Workshops for Work-Life Balance 2011-12 Department of Chemical and Biological Engineering Search Committee 2017-2018 ISCRO Committee Chair 2016 - present Outside: 2011 Northeast Bioengineering Conf. (Local Arrangements Chair) April 2011 2011 Northeast Bioengineering Conference (Stem Cell Track Co-Chair) April 2011 BMES: Neural Tissue Engineering Session Co-Chair October 2007-09, 11, 13, 14 2015 Northeast Bioengineering Conf. (Tissue Engineering Chair) April 2015 BMES: National Committees Member 2014- present BMES: Neural Engineering Track Co-Chair October 2016 Peer Reviewer at NIH, NSF as well as numerous scientific journals. Selected Publications from the last 5 years 1. AN Koppes, A Nordberg†, G. Paolillo†, N. Goodsell†, H. Darwish†, L. Zhang and DM Thompson “Electrical Stimulation of Schwann cells promotes sustained increases in Neurite Outgrowth”, Tissue Engineering Pt A 20(3-4):494-506 (2013). 2. CM Dumont, P Karande, DM Thompson “Rapid Assessment of Migration and Proliferation (RAMP) – A Novel High Throughput Platform for Rational and Combinatorial Screening of Tissue-Specific Biomaterials” Tissue Engineering Pt. C 2014 Aug;20(8):620-9. 3. DM Thompson, AN Koppes, JG Hardy and CE Schmidt “Electrical Stimuli in the Central Nervous System Microenvironment. Annual Reviews for Biomedical Engineering 16:398-430 (2014) PMID:25014787 4. AN. Koppes, CJ. Rivet, LA. Williams†, JM. Piselli†, RJ Gilbert, and D.M Thompson. “Neurite Outgrowth On Electrospun PLLA Fibers Is Enhanced By Exogenous Electrical Stimulation”. Journal of Neural Engineering, 2014 Aug;11(4):046002. 5. AN Koppes, K Keating, AL McGregor, RA Koppes, KR Kearns, AM. Ziemba, CA McKay, JM Zuidema, CJ Rivet, RJ Gilbert, DM Thompson. “Robust Neurite Extension following Exogenous Electrical Stimulation within Single-Walled Carbon Nanotube – Composite Hydrogel” (2016) 39:34-43 6. CM Dumont, JM Piselli, N Kazi, E. Bowman, G. Li, RJ Linhardt, S Temple, G Dai, and DM Thompson. Stem Cells and Development. August 2017, 26(16): 1199-1213.

Professional Development: Conference Attendance; Sabbatical – Visiting Scientist at Neural Stem Cell Institute Jan-August 2014

199

Deepak Vashishth, Professor Education BE University of Rajasthan, India (Mechanical) MREC 1989 MS West Virginia University (Mech. Engr. Biomechanics Emphasis) 1992 PhD University of London, UK (Matr. Sci., Biomaterials Emphasis) 1997

Academic experience Dept. of Mech. & Aerospace Engr., West Virginia University Teaching Assistant 1990; FT Research Assistant 1990-1992; FT IRC in Biomedical Materials, University of London, UK Supervising Scientist 1992-1997; FT Henry Ford Health Systems, Dept. of Orthopaedic Surgery, Bone & Joint Center Research Fellow 1997-1999; FT Rensselaer Polytechnic Institute Assistant Professor 1999-2006; FT Associate Professor 2006-2009; FT Professor 2009-present; FT Department Head- Biomedical Engineering 2009-5/2013; FT Director, Center for Biotechnology and Interdisciplinary Studies 4/2013-present Non-academic experience National Engineering Industries (Jaipur, India) (1989) Rajasthan State Mines & Minerals (Udaipur, India) (1989); Multiaxial Fatigue (Professional Course), Engineering Research and Professional Centre, School of Engineering, Sheffield Hallam University, UK (1994); Training for installation and operation of eight station hip-joint simulator for producing wear in UHMWPE cups, MTS Systems, MN, USA (1995)

Certifications or professional registrations - None

Current membership in professional organizations European Society of Biomechanics (1994 to 1997) American Society of Engineering Education (2000 to 2002) Orthopaedic Research Society (2001 to present) Biomedical Engineering Society (2002 to present) American Society of Bone and Mineral Research (2005 to present)

Honors and awards 2011 Fellow of the American Institute of Medical and Biological Engineering 2005 Class of 1951, Outstanding Teaching Award, RPI 2003 School of Engineering Research Award, RPI 2002 Outstanding Professor Inter-fraternity Council: RPI 1989 Graduated with First class Honors from MREC, Univ. Rajasthan, India 1984 – 1989 Recipient of College Merit Scholarship

200

Service activities (select examples of service within and outside of the institution) Member of the SoE & BME Undergraduate Curriculum Committee 2000 to 2004 Member of the Undergraduate Research Program Judge Panel 2000 Session Chair/Organizer, Annual BMES Meetings 2001,2002,2005,2007 Member of the BME Chair Search Committee 2003-2005 Member SoE Committee: Development of new core courses 2004 to 2005 Member of the VPR-Research Finance Committee 2004 to 2005 BME Seminar Series Coordinator 2004 to 2006 Member of the International Technical Committee ICMBOT 2005 to present Member, SoE Research and Teaching Awards Committee 2006, 2009, 2010 b. Other Service and Administration Activities Chair-BME Undergraduate Curriculum Committee 2004 to 2006 Editorial Board Member JMBBM 2006 to present Graduate Program Director, BMED 2007 to 2009 Member Executive Committee, NIH Training Grant 2007 to 2010 Member, Institutional Biosafety Committee 2008 to present

Briefly list the most important publications and presentations from the past five years – title, co-authors if any, where published and/or presented, date of publication/presentation Publications: (1) Sroga, G. E. and Vashishth, D. (2018), Phosphorylation of Extracellular Bone Matrix Proteins and Its Contribution to Bone Fragility. J Bone Miner Res, 33: 2214-2229. (2) Bailey, S. & Vashishth, (2018), Mechanical Characterization of Bone: State of the Art in Experimental Approaches—What Types of Experiments Do People Do and How Does One Interpret the Results? D. Curr Osteoporos Rep. 16: 423 (3) Wang, Z., Vashishth, D. & Picu, R.C. (2018), Bone toughening through stress-induced non- collagenous protein denaturation. Biomech Model Mechanobiol. 17: 1093. (4) Bailey, S. , Karsenty, G. , Gundberg, C. and Vashishth, D. (2017), Osteocalcin and osteopontin influence bone morphology and mechanical properties. Ann. N.Y. Acad. Sci., 1409: 79-84. (5) Cleland, T. P., Thomas, C. J., Gundberg, C. M., and Vashishth, D. (2016) Influence of carboxylation on osteocalcin detection by mass spectrometry. Rapid Commun. Mass Spectrom., 30: 2109–2115.

Briefly list the most recent professional development activities Conference Chair 37th North East Bioengineering Conference 2011 Member SBSR, Center for Scientific Review/NIH 2011 to present

201

Qun (Leo) Wan, Associate Professor

Education – degree, discipline, institution, year B. S. Theoretical and Applied Mechanics, University of Science and Technology of China 1998 M. Eng. Fluid Mechanics, University of Science and Technology of China 2001 M. Phil. Biomedical Engineering, Columbia University 2006 Ph. D. Biomedical Engineering, Columbia University 2007

Academic experience – institution, rank, title, when (ex. 1990-1995), full time or part time Rensselaer Polytechnic Institute Associate Professor 2016- present, Full time Assistant Professor 2011- 2016, Full time Columbia University Associate Research Scientist 2010-2011, Full time Co-instructor Spring 2010, Full time Postdoctoral Research Scientist 2007-2010, Full time Co-instructor Fall 2007, Full time Teaching Assistant 2003-2004, Full time Graduate Research Assistant 2001-2007, Full time University of Science and Technology of China (Hefei, Anhui China) Teaching Assistant 1999-2000, Full time Graduate Research Assistant 1998-2001, Full time Undergraduate Research Assistant 1996-1996, Full time

Non-academic experience – None.

Certifications or professional registrations – None.

Current membership in professional organizations Member, American Society of Biomechanics 2009-Present Member, American Society of Mechanical Engineers 2006-Present Member, Biomedical Engineering Society 2009-Present Member, International Chinese Hard Tissue Society 2007-Present Member, Orthopedic Research Society 2007-Present Member, World Association for Chinese Biomedical Engineers 2006-Present

Honors and awards 2015 School of Engineering Research Award at Rensselaer Polytechnic Institute 2014 NIH Director’s New Innovator Award 2014 Kavli fellow, the twenty-sixth annual U.S. Kavli Frontiers of Science symposium by NAS 2014 Basil O’Conner Starter Scholar Research Award, March of Dimes 2013 Pew Scholars in Biomedical Sciences, 2013 2013 American Heart Association Scientist Development Grant (AHA-SDG), 2013 2013 National Science Foundation CAREER Award

202

2013 New Investigator Award, Frontiers in Bioengineering Workshop, Atlanta, GA, 2013 2013 Rising Star Award, the 2013 Annual Biomedical Engineering Society - Cellular and Molecular Bioengineering Conference, Weimea, HI

Service activities (within and outside of the institution) 2016-2018 Elected member of Cellular & Molecular Bioengineering Council (BMES) Instructor of a TED-Ed video on “Why are human bodies asymmetrical?”, viewed for over 650,000 times by Oct 2017. Member of planning committee and session chair for the 2016 Annual Pew Scholar Conference Track Chair, Biomaterials, the Annual Biomedical Engineering Society Conference, 2015 Member of program committee of Bioengineering and Stem Cell Research symposium at Troy, NY on June 8-9, 2015 Biomedical Engineering Graduate Curriculum Committee 2011-present Biomedical Engineering Graduate Student Recruitment 2011 Other Service and Administration Activities Invited lecture on “Cell Chirality” on the BMES RPI chapter meeting 2011 Biomedical Engineering Undergraduate Student Research (8 advisees) 2011

Briefly list the most important publications and presentations from the past five years – title, co-authors if any, where published and/or presented, date of publication or presentation 1. AKM Fleck, U Kruger, C Waltz, SA MacCallum, XL Lu, and LQ Wan*, Zonal Variation of MRI-Measurable Parameters Classifies Cartilage Degradation, Journal of Biomechanics, 65, pp176-184. 2. MJ Raymond, P Ray, G Kaur, P Haynes, M Fredericks, AV Singh, and LQ Wan*, 2017. Multiaxial Polarity Determines Individual Cellular and Nuclear Chirality, Cellular and Molecular Bioengineering, 10(1), pp 63-74. 3. LQ Wan*, AS Chin, KE Worley, and P Ray, 2016. Cell Chirality: Emergence of Asymmetry From Cell Culture, Philosophical Transactions B, 371(1710). pii: 20150413. 4. MJ Raymond, P Ray, G Kaur, AV Singh, and LQ Wan*, 2016. Cellular and Nuclear Alignment Analysis for Determining Epithelial Cell Chirality, Annals of Biomedical Engineering, 44(5), pp.1475-86. 5. KE Worley, D Shieh, and LQ Wan*, 2015. Inhibition of Cell-Cell Adhesion Impairs Epithelial Chiral Morphogenesis on Micropatterned surfaces, Integrative Biology, 7(5), pp. 580-90. 6. AV Singh, M Raymond, F Pace, A Certo, JM Zuidema, CA McKay, RJ Gilbert, XL Lu, and LQ Wan*, 2015 Astrocytes Increase ATP Exocytosis Mediated Calcium Signaling in Response to Microgroove Structures, Scientific Reports, 5: 7848. 7. AV Singh, KK Mehta, K Worley, JS Dordick, RS Kane, and LQ Wan*, 2014. Carbon Nanotube-Induced Loss of Multicellular Chirality on Micropatterned Substrate Is Mediated by Oxidative Stress, ACS Nano, 8(3), pp. 2196-205.

Briefly list the most recent professional development activities – See service activities.

203

Ge Wang, PhD, Clark & Crossan Endowed Chair Professor Education: Xidian University Xi’an, China Elec. Eng. BS, 1982 Graduate School of Acad. Sinica Beijing, China Remote Sensing MS, 1985 SUNY/Buffalo Buffalo, NY Elec. & Comp. Eng. MS, 1991 SUNY/Buffalo Buffalo, NY Elec. & Comp. Eng. PhD, 1992

Academic Experience 2013-Now Clark & Crossan Endowed Chair Professor, Director of Biomedical Imaging Center/Cluster, CBIS/BME, Rensselaer Polytechnic Institute 2006-2012 Pritchard Professor of Engineering, Director of SBES Division & ICTAS Center for Biomedical Imaging, VT-WFU School of Biomedical Engineering & Sciences Adjunct Professor of Electrical & Computer Engineering, Virginia Tech (VT) 2002-2006 Prof., Director of X-ray & Optical Tomog. Center, Radiology Dept., University of Iowa 1997-2002 Associate Professor, Radiology Dept., University of Iowa 1994-1996 Assistant Professor, Mallinckrodt Inst. of Radiology, Washington Univ. St. Louis 1992-1993 Instructor, Mallinckrodt Inst. of Radiology, Washington Univ. St. Louis

Current Membership in Professional Organizations Fellow of AIMBE, IEEE, SPIE, OSA, AAPM, AAAS Selected Honors and Awards • 1996 Hounsfield Award. Soc. of Computed Body Tomography and Magnetic Resonance • 1997 Giovanni DiChiro Award for Outst. Sci. Res. J. of Comp. Assisted Tomography • 1999 AAPM/IPEM Medical Physics Travel Award. The American Association of Physicists in Medicine (AAPM) and the Institute of Physics and Engineering in Medicine (IPEM), 1999 (One medical physicist is awarded in USA annually. The awardee is expected to lecture in UK for 2-3 weeks) • Outstanding International Educator, University of Iowa International Programs, 2003 • 2004 Herbert M. Stauffer Award for Outstanding Basic Science Paper in Academic Radiology, Association of University Radiologists, USA • 2006 Inverse Problems Highlighted Article (Han WM, Cong WX, Wang G: Mathematical theory and numerical analysis of bioluminescence tomography. Inverse Problems 22:1659-1675, 2006) • 2007 Inverse Problems Highlighted Article (Ye YB, Yu HY, Wang G: Cone-beam pseudo-lambda tomography. Inverse Problems 23:203-215, 2007) • 2003-2007 Most Cited Paper (Yu HY, Wang G: Studies on implementation of the Katsevich algorithm for spiral cone-beam CT. Journal of X-ray Science and Technology 12: 97-116, 2004). Journal of X-ray Science and Technology, 2007 • 2009 Phys. Med. Biol. Featured & Highlighted Article (Lu Y, Zhao J, Wang G: Exact image reconstruction with triple-source saddle-curve cone-beam scanning. Phys. Med. Biol. 54: 2971-2991, 2009) • 2010 Phys. Med. Biol. Featured Article (Shen H, Wang G: A tetrahedron-based inhomogeneous Monte Carlo optical simulator. Phys. Med. Biol. 55:947-962, 2010) • Dean’s Award for Excellence in Research, College of Eng, Virginia Tech, 2010

204

• Outstanding Associate Editor, IEEE TMI (prime journal in the medical imaging field), 2015 (leading guest editors for 4 special issues; 57 papers over the past 2 yrs with 28.75 turn-around) • 2009-2010 Phys. Med. Biol. top-ten most-cited paper (Yu HY, Wang G: Compressed sensing based interior tomography. Phys. Med. Biol. 54:2791-2805, 2009) • 2012 Inverse Problems Highlighted Article (Yang JS, Yu H, Jiang M, Wang G: High order total variation minimization for interior SPECT. Inverse Problems 28:015001(24pp), 2012) • 2013 Phys. Med. Biol. Featured Article (Wang G, HY Yu: The meaning of interior tomography. Phys. Med. Biol. 58:R161–R186, 2013; also the PMB Editor's Choice on http://medicalphysicsweb.org, 08/05/13) • 2013 2nd Most Downloaded Journal of Informetrics article (Yang JS, et al.: A bibliometric analysis of academic publication and NIH funding. Journal of Informetrics 7:318-324, 2013) • 2015 Featured Special Issue on Spectral CT, IEEE Transactions on Medical Imaging (Guest Editors: Ge Wang, Anthony Butler, Hengyong Yu, Michael Campbell), March, 2015 • Outstanding Associate Editor, IEEE TMI (managed 57 manuscripts over the past 2 years with an average turn-around time of 28.75 days), 2015 Service Activities • Founding Editor-in-Chief for International Journal of Biomedical Imaging, Associate Editor for IEEE Trans. Medical Imaging (the prime journal of medical imaging) and Leading Guest Editor for five special issues of IEEE Trans. Medical Imaging (Theme 1: multi-row-detector spiral/helical CT; Theme 2: Molecular imaging; Theme 3: Compressive sensing for biomedical imaging, and Theme 4: Spectral CT; 5: Image Reconstruction via Machine Learning) • Numerous NIH study section and NSF review panel meetings over more than the past decade, with continuous submission privilege; Reviewer for over 50 journals • General Chair, The 11th IEEE International Symposium on Biomedical Imaging, 2014 • General Chair, The 14th International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2017

Publications (most important in last five years) 1. Wang G, HY Yu: The meaning of interior tomography. Phys. Med. Biol. 58:R161–R186, 2013 2. Stallings J, Vance E, Yang JS, Vannier MW, Liang J, Pang L, Dai L, Ye I, Wang G: Determining scientific impact using a collaboration index. PNAS 110:9680-9685, 2013 3. Cong WX, Liu FL, Wang C, Wang G: X-ray micro-modulated luminescence tomography (XMLT). Optics Express 22:5572–5580, 2014 4. Wang G, Kalra M, Murugan V, Xi Y, Gjesteby L, Getzin M, Yang QS, Cong WX, Vannier M.: Vision 20/20: Simultaneous CT-MRI — Next chapter of multimodality imaging. Med. Phys. 42:5879- 5889, 2015), October, 2015 5. Wang G, Perspective on deep imaging. IEEE Access, DOI: 10.1109/ACCESS.2016.2624938, 2016.

Professional Development - See service activities.

205

Xun Wang, Lecturer

Education: B.S.: Mechanical Engineering, Shandong University, P.R. China, 1997 Ph.D.: Mechanical Engineering, University of Manchester, U.K., 2003

Academic Experience 2015-present Lecturer, BMED, Rensselaer Polytechnic Institute (RPI) 2012-2015 Assistant Professor, Math, Petroleum Institute, Abu Dhabi, U.A.E. 2008-2012 Senior Lecturer, Math, Petroleum Institute, Abu Dhabi, U.A.E. 2002-2008 Post-Doc Researcher, EE, Queen’s University Belfast, U.K.

Non-academic Experience None

Certifications/Professional Registrations None

Current Membership in Professional Organizations None

Honors and Awards None

Service Activities Rensselaer Service HUB representative from BMED for student advising, (2017) Advisor for BMED senior students projects (2016-present)

External Service Delivered a plenary lecture at the 4th International Congress in Industrial Engineering, Manufacture and Welding Technology, Saltillo, Mexico, November, 2008

Member of the international program committee at the International Conference on Intelligent Computing, P.R. China, 2006 and 2007

Publications (most important in last five years) Among 1 book chapter, 13 journal papers and 16 conference papers:

1. Li Z, Xie L, Sun P, Wang X, Kruger U. Adaptive Subspace Identification based on Moving – Window QR Decomposition and Rapid PCA, Journal of Shanghai Jiaotong University, Vol. 49, No. 11, pp. 1690-1695, 2015. 2. Xie L, Zeng J, Kruger U, Wang X, Geluk J. Fault detection in dynamic systems using the Kullback Leibler divergence, Control Engineering Practice, Vol. 43, pp. 39-48, 2015.

206

3. Li Z, Kruger U, Wang X, Xie L. An error-in-variable projection to latent structure framework for monitoring technical systems with orthogonal signal components. Chemometrics & Intelligent Laboratory Systems, 133 70-83, 2014. 4. Zeng J, Kruger U, Geluk J, Wang X, Xie L. Detecting abnormal situations using the Kullback- Leibler divergence. Automatica, 50(11) 2777-2786, 2014.

Professional Development: Attendance of scientific conferences. Also see service activities.

207

Pingkun Yan, Assistant Professor

Education: B.S.: Electronics Engineering and Information Science, University of Science and Technology of China, 2001 Ph.D.: Medical Image Analysis, National University of Singapore, 2006

Academic Experience 2017-present Assistant Professor, Biomedical Engineering, Rensselaer Polytechnic Institute (RPI) 2011-2013 Research Professor, Chinese Academy of Sciences 2005-2007 Research Associate, University of Central Florida

Non-academic Experience 2013-2017 Senior Scientist/Project Leader, Philips Research North America 2013-2017 Special Volunteer, Clinical Center, NIH. 2007-2011 Senior Member Research Staff, Philips Research North America

Certifications/Professional Registrations None

Current Membership in Professional Organizations Institute of Electrical and Electronics Engineers (Senior Member, 2010) Medical Image Computing and Computer Aided Intervention (Member)

Honors and Awards Best Paper Award, International Journal of Computer Assisted Radiology and Surgery, IJCARS-MICCAI 2016 Special Issue (2017) Best Paper Award, 3rd place, Third Workshop on Clinical Image-based Procedures (2014) Innovation in Industry Award Finalist (4 out of 120 candidates), New York Academy of Science (2008) Best Paper Award, 8th International Conference on Medical Image Computing and Computer Aided Intervention (2005)

Service Activities Rensselaer Service Member, BME Graduate Committee (2017-present) External Service Reviewed papers for 9 technical journals, and served on editorial boards for Neurocomputing, and Machine Vision & Applications

Publications (most important in last five years) From 5 edited proceedings, 10 patent filings, 53 journal papers and more than 40 conference papers;

208

Investigation of Physical Phenomena UnderlyingTemporal Enhanced Ultrasound as a New Diagnostic Imaging Technique: Theory and Simulations (IEEE Trans. Ultrasonics, Ferroelectrics, and Frequency Control, Oct. 2017) Changes in prostate cancer detection rate of MRI-TRUS fusion vs systematic biopsy over time: evidence of a learning curve (Prostate Cancer and Prostatic Diseases by Nature, Aug. 2017) Detection and Grading of Prostate Cancer Using Temporal Enhanced Ultrasound: Combining Deep Neural Networks and Tissue Mimicking Simulations (International Journal of Computer Assisted Radiology and Surgery, Aug. 2017) The Role of Image-Guided Targeted Re-Biopsy in Patients with Atypical Small Acinar Proliferation (Journal of Urology, 2015).

Professional Development: Attendance of scientific conferences and also editorial activities.

209

Appendix C – Equipment

The BME Teaching Lab used for BMED 4010 is located in the Jonsson Engineering Center (JEC) in three rooms totaling 2,141 square feet. These include the main instructional lab area consisting of two adjoining rooms totaling 1,512 square feet and one additional lab of 629 square feet. The main instructional lab includes the main testing hall and the adjoining Howard Hughes Medical Institute Tissue Engineering and Cell Culture Laboratory, which houses the bulk of our cell culture-related equipment. The additional laboratory includes auxiliary testing space and two fume hoods. The laboratory equipment includes:

 GE Logiqbook Clinical Ultrasound System

 DeskCAT Instructional Optical CAT Scanner with computer (purchased FY16)

 Five Mechanical Testing Machines: o Instron 5543: benchtop axial system with air-regulated tension grips, compression platens, two sets of thin film grips (grips purchased FY18), 100 N load cell, 1 kN load cell, AVE 2 video extensometer system allowing full field strain mapping (AVE purchased FY16), and dedicated CPU equipped with Bluehill 3 (CPU purchased FY16) o Instron 5966: benchtop 10 kN axial load frame with 10 kN axial load cell, additional torsion package (torsion drive, 10 kN/100Nm biaxial load cell, torsion grips), 3- & 4- point bending fixtures, expansion box with up to 8 strain gage cards, debris shields, dedicated CPU with Bluehill 3 (full system purchased FY16) o Instron 55MT: benchtop torsional system, equipped with 2.25 N-m load cell; dedicated CPU equipped with Partner o ATS (Applied Test Systems, Inc.): benchtop axial system with 3- and 4 – point bending testing fixtures, and a 1000 lb load cell; also has a Vishay Strain Gage Amplification system o TA Instruments Discovery HR-2 Rheometer with various rheometer geometries, Peltier plate with air-cooled circulator, environmental test chamber, tensile grips, tribology accessories, software, and dedicated CPU (purchased FY16)

 Data Acquisition Equipment o Two desktop CPUs and two laptops are utilized with the various pieces of Data Acquisition equipment. (Computers are replaced on a rolling basis including two desktops purchased FY18) o LabView (National Instruments): Includes 4 USB data acquisition systems, 4+ signal conditioning boxes, and an array of modules for the signal conditioning boxes. o Four wireless Great Lakes Neurotechnologies BioRadio systems, as well as multiple add-ins including a force plate, two hand-dynamometers, two pulse oximeters, and a blood pressure sensor. (purchased FY16 replacing four CleveMed BioRadio systems which are retired but still usable with the same software and components) o Oscilloscope and signal generator. 210

o Two Lego Mindstorms Robotic Systems

 Four microscopes o Two inverted microscopes for cell culture and counting include one Fisher with a camera and computer (allowing live demonstrations with students) and one Nikon o An upright Nikon Ci, equipped for fluorescence, brightfield, and phase imaging. Also equipped with color camera, dedicated CPU has Spot, Image Pro Premier, and ImageJ o An inverted Nikon Eclipse TE2000-S, equipped for fluorescence, brightfield, and phase imaging. Also equipped with black/white camera, dedicated CPU equipped with Spot, Image Pro Premier, and ImageJ.

 Spectrophotomers (each with a dedicated CPU) o Bio-Tek µQuant (new CPU FY18) o Bio-Tek EPOCH (purchased FY16 + new CPU purchased FY18) o Hitachi F-7000 Fluorescence Spectrophotometer

 Flexcell 5000 System with dedicated CPU (purchased FY16) o Includes two baseplates to strain at least 8 wellplates at once (additional baseplates available, newest purchased FY17) o Have ability to strain cells cultured in 2D uniaxially and biaxially. o Have ability to strain cells cultured in 3D uniaxially.

 Large format display o A 75” LG UHD display with computer is mounted in the lab for student presentations and provides capability for teleconferencing and instructional opportunities (purchased FY18)

 Various Cell Culture equipment, including: o Three biosafety cabinets o Three incubators o -80 freezer, two refrigerator/freezer combo units, and cryotank o A centrifuge, microcentrifuge, and vortexer o An automated cell counter (purchased FY17) o A plasma cleaning chamber (purchased FY18) o Autoclave o Approximately 28 micropipettors o Approximately 6 Pipet-Aids o World Precision Equipment device for measuring cell resistance

 Miscellaneous lab equipment, including: o Two fume hoods o Three balances, covering micro to macro masses o Two water deionizing systems (including a type I system purchased FY18) o Two waterbaths (one purchased FY18) o Two pH metersUV transilluminator (purchased FY15)

211

o Fisher FS-30D ultrasonic cleaner o Vacuum oven o Six stirrer/hot plates o One soldering set o One drill press o One compression molding hot press o Multimeters, thermometers/thermocouples, etc. o Assorted general tools

The BME lab is also equipped with 6 sinks, gas and air lines, Ethernet ports, a flammables cabinet, and standard lab benches and cabinets. Auxiliary refrigerator, freezer, and -80 storage is also available as needed. The following facilities are part of Core Engineering, and are available to undergraduate students:

Design Lab/IED Fabrication Area Manufacturing Innovation Learning Lab Including the Haas Technical Center - (MILL) – Center for Industrial Innovation JEC 2332 1029  Agilent 33120A Function/Arbitrary  Haas CNC Control Simulator Waveform Generator  Haas VF-1 CNC Vertical Machining  Agilent 34401A Digital Multimeter Center  Agilent 54622D Mixed Signal  Haas A-Axis Oscilloscope  Hurricane Laser Cutter  Agilent E3631A Triple Output DC  Flow Abrasive Water Jet Mach 2 Power Supply  Brown and Sharpe Coordinate  Keithley 3321 LCZ Meter Measuring Machine  (4) Haas CNC Control Simulator  Adept Robot  Haas Mini Mill  Sony Conveyor System  Haas SL 10  Staubli Robot  Haas Super VF 2  SIG Delta Robot  Haas TL 1  Dimension 3D Printer  Haas Tool Room Mill  Dimension UPrint 3D Printer  Acer Vertical Milling Machine  Z-Corp 3D Printer  Acer Lathe  Z-Corp Waxing System  Do-All Vertical Band Saw  Z-Corp Cleaning System  Jet Vertical Band Saw  Dimension UPrint Cleaning System  Jet Horizontal Band Saw  Arburg Injection Molder  Delta Drill Press  Battenfeld Injection Molder  Acer Drill Press  Formech Vacuum Former  Acer Belt Sander with Dust  Sonitek Thermal Press Collection System  Sonitek Ultrasonic Welder  Mitutoyo Crysta-Plus M574 CMM  Branson Ultrasonic Welder  Paint Booth  Branson Ultrasonic Welder  MasterCAM Software  Advantage Mold Heater  Aquatherm Mold Heater

212

 Blue Line Oven  Jet Brake, Shear and Roll  Transfer molder  Wabash Hydraulic Press  Una Dyn Mini-Dryer  Famco Arbor Press  Dri-AirDryer  Red Arrow Hydraulic Press  CW Brabender Granu-Grinder  Central Machinery10" AutoPlaner  Wilson Rockwell Hardness Tester  Baldor Buffer  Fowler Hardness Tester  MasterCAM Software  Enerpac  Dake 150 Ton Hydraulic Press Student Machine Shop – JEC 1010  Nova Vibratory Finishing System  Torchmate CNC Plasma Cutter  Cyclone Bead Blasting Booth  Haas TL-1 Lathe  Powder Coating System  Horizontal Milling Machine  DoAll Vertical Band Saw  (5) Sharp Vertical Milling Machines  MSC Horizontal Band Saw  (4) Sharp Lathes  Milwaukee Abrasive Cut-Off Saw  (2) Acer Lathes  Milwaukee Chop Saw  National Sheet Metal Brake  Jet Table Saw  Do-all Horizontal Band Saw  Drill Presses  JET Hydraulic Shear  Royal Drill Press  JET Belt Sander  Walker Turner Drill Press  (3) Rong Fu Radial Arm Drill Presses  Delta Drill Press  (2) Delta Drill Presses  Craftsman Drill Press  Maxim AT Lathe  MSC Universal Mill  Powermatic Vertical Band Saw  Sharp Universal Mill  Lincoln Welder  Nardini Engine Lathe  Plastics Welding Equipment  Monarch Engine Lathe  MasterCAM Software  Peck, Stow and Wilcox Kick Shear  Peck, Stow and Wilcox Box Brake

All biomedical engineering undergraduate students are encouraged to participate in Undergraduate Research Projects (URP) that are carried out in research laboratories located in the Jonsson Engineering Center (JEC) and the Center for Biotechnology and Interdisciplinary Studies (CBIS). These laboratories include microplate readers, mechanical testing systems, PCR machines, Thermocyclers, PCR hoods, hot presses, epifluorescent microscopes, laboratory extruder systems, electrospinning cabinets, sieve shakers, water bath shakers, freezers, metallurgical microscopes, vacuum oven, curing oven, UV curing lamps, mechanical stirrers, vacuum pumps, high voltage power supplies, syringe pumps, microbalance, microcentrifuges, inverted microscopes, a sonicator bath, rheometers, ultrasound equipment, bioreactor system equipment, Instron mechanical testers, six degree of freedom mechanical tester, lasers systems, gel and plate readers, and other devices typical for tissue engineering, regenerative medicine, cell biology, and imaging research activities.

213

Appendix D – Background Information of the Institution

1. The Institution

Rensselaer Polytechnic Institute is the nation’s oldest civilian technological university. It was founded in 1824 by Stephen Van Rensselaer for the purpose of “instructing persons, who may choose to apply themselves, in the application of science to the common purposes of life.” A nonsectarian, coeducational institution with campuses in Troy, N.Y., and Hartford, Conn., the Institute served 7962 students in AY 2018-19—undergraduates, graduate students, and working professionals—with degree programs distinguished by their intellectual rigor and pedagogical innovation.

The Institute’s reputation for education and research draws students from 50 states and 72 countries. More than 140 degree programs in nearly 60 fields lead to bachelor’s, master’s, and doctoral degrees in engineering, the sciences, information technology, architecture, management, and the humanities and social sciences. Students are encouraged to work in inter- and cross- disciplinary programs that allow them to combine scholarly work in several departments or schools. The university provides rigorous, engaging, interactive learning environments and campus-wide opportunities for leadership, communication, and creativity.

As a research university, Rensselaer has built an outstanding faculty whose research programs include such areas as biotechnology, nanotechnology, advanced materials, microelectronics, information technology, computational modeling and simulation, the social and political dimensions of technology, and electronic arts.

The official address of the Institute is:

Rensselaer Polytechnic Institute 110 8th Street Troy, NY 12180-3590

The chief executive officer is Dr. Shirley Ann Jackson, President. This application for accreditation is submitted by Dr. Shekhar Garde, Dean, School of Engineering.

214

Regional or Institutional Accreditation

Accredited Programs Accrediting Agency Date of Date of Most Initial Recent Accreditation Accreditation Regional Accreditation Middle States Commission on Higher 1927 2016 Education B.S. Aeronautical Eng. Accreditation Board for Engineering & 1938 2014 Technology (ABET) B.S. Biomedical Eng. ABET 1972 2014 B.S. Chemical Eng. ABET 1936 2014 B.S. Civil Eng. ABET 1936 2014 B.S. Computer & System ABET 1978 2014 Eng. B.S. Electrical Eng. ABET 1936 2014 B.S. Environmental Eng. ABET 1966 2014 B.S. Industrial & ABET 1978 2014 Management Eng. B.S. Materials Eng. ABET 1938 2014 B.S. Mechanical Eng. ABET 1936 2014 B.S. Nuclear Eng. ABET 1966 2014 B.S. Chemistry American Chemical 1940 2018 Society Bachelor of Architecture National Architecture 1945 2016 (5-years) Accrediting Board (NAAB) Master of Architecture NAAB 1979 2016 B.S. Management American Assembly of 1977 2016 Collegiate Schools of Business

* Electric Power Program was discontinued.

215

2. Type of Control

Rensselaer is a non-sectarian, privately owned, non-profit educational institution governed by a Board of Trustees. The President is the chief executive of the Institute, and operates through a cabinet system (Table 2.1). The organization chart for the President’s Office is presented and described in Figure 2.1. The structure associated with the Provost and Deans of the five Schools at Rensselaer and the organization of the School of Engineering are discussed in Section 3 of Appendix D.

Table D-2.1. The President’s Cabinet NAME TITLE Prabhat Hajela Provost Craig A. Cook Secretary of the Institute and General Counsel Graig Eastin Vice President, Institute Advancement Barbara J. Hough Vice President, Finance John Kolb ‘79 Vice President for Information Services and Technology and Chief Information Officer Peter Konwerski Vice President, Student Life Jonathan D. Wexler Vice President, Enrollment, and Dean, Undergraduate and Graduate Admissions Curtis Powell Vice President, Human Resources Claude Rounds Vice President, Administration (Vacant) Vice President, Research Richie C. Hunter Vice President, Strategic Communications and External Relations (Vacant) Vice President, Athletics

216

Organizational Chart

Figure D-2.1 The President’s Office

3. Educational Unit

3.1 Academic Programs

The School of Engineering (SoE) is currently comprised of seven academic departments, which oversee EAC-accredited undergraduate degree programs, as follows:

 Biomedical Engineering BS in Biomedical Engineering (BMED)  Chemical and Biological Engineering BS in Chemical Engineering (CHME)  Civil and Environmental Engineering BS in Civil Engineering (CIVL) BS in Environmental Engineering (ENVE)  Industrial and Systems Engineering BS in Industrial and Management Engineering (MGTE)

217

 Electrical, Computer and Systems Engineering BS in Electrical Engineering (ELEC) BS in Computer and Systems Engineering (CSYS)  Materials Science Engineering BS in Materials Engineering (MTLE)  Mechanical, Aerospace, and Nuclear Engineering BS in Mechanical Engineering (MECL) BS in Aeronautical Engineering (AERO) BS in Nuclear Engineering (NUCL)

The four letter acronym for each program (e.g., BMED) is the official abbreviation used in the Student Records Office to designate the major of a student. Only 11 of these programs have been submitted by ABET for this General Review.

The current administrative structure for academic programs has been in place since July of 2007, shortly before the 2007 General Review by ABET.

3.2 Administrative Structure of the School of Engineering

The academic structure of the Institute and the School of Engineering is illustrated in two organizational charts. Figure 3.2.1 shows the Provost’s Office and its relationship to the five Schools within the Institute, and Figure 3.2.2 shows the detailed structure of the School of Engineering.

218

Figure D-3.2.1 Office of the Provost and Dean’s Council - Organizational Chart

219

Figure D-3.2.2. School of Engineering - Organization Chart

The School of Engineering is led by the Dean, Dr. Shekhar Garde. The Associate Dean for Undergraduate Studies, Professor Kurt Anderson, is responsible for the undergraduate educational enterprise of the School of Engineering (SoE). The Associate Dean for Academic Affairs, Dr. Matthew Oehlschlaeger, oversees the school strategic planning, faculty mentoring, promotion and tenure. The Associate Dean for Graduate Programs and Research, Professor Liping Huang, oversees the research enterprise and the support of graduate students. Each department is led by a Department Head appointed by the Dean. The Director for Diversity and Women in Engineering Programs, Barbara Ruel, works with the Dean and the Associate Deans in the area of recruitment and retention of women students in Engineering and at Rensselaer as a whole. She is also responsible for support and developmental activities enabling all of our students to meet their professional and individual goals. Ms. Elizabeth Herkenham , K-13 Program Director, is responsible for outreach activities to students, parents, teachers and counselors in our community about emerging careers in engineering, science and technology and the impact these careers have on the evolution and health of our nation and our world. Dr. Kathryn Dannemann, our Director of the O.T. Swanson Multidisciplinary Design Laboratory works with the Associate Dean for Academic and Student Affairs to coordinate multidisciplinary engineering programs and courses, with particular emphasis on multidisciplinary design education and first-year student programs.

The Dean of Engineering reports to the Provost, Dr. Prabhat Hajela, who in turn reports to the President, Dr. Shirley Ann Jackson. The President reports to the Board of Trustees. 220

4. Academic Support Units

Responsible Individual Responsible Individual Department or Unit Name Title Biology Professor Susan Gilbert Department Head Chemistry & Chemical Biology Professor Wilfredo Colón Department Head Computer Science Professor Charles Stewart Department Head Earth & Environmental Science Professor Frank Spear Department Head Information Technology & Professor Peter Fox Director, Tetherless World Web Science Constellation Chair Mathematics Professor Donald Department Head Schwendeman Physics Professor Vincent Meunier Department Head

Arts Professor Kathy High Department Head Cognitive Science Professor Sergei Nirenburg Department Head Communication & Media Professor June Deery Department Head Economics Professor Vivek Ghosal Department Head Science & Technology Studies Professor Nancy Campbell Department Head

Archer Center for Student Tracy Schierenbeck Director Leadership Development

221

5. Non-academic Support Units

The Rensselaer Libraries – Andre White, Director Networking and Electronic Access Collections Consortial Agreements

Computing and Information Support Services - Jeff Miner,

Assistant Vice President, Information Services ARC Help Desk Rensselaer Learning Management System Mobile Computing Program Computer Lab and Classroom Information Data Warehouse Campus Computer Store and Rensselaer Computer Repair Underlying Infrastructure Upgrades -- Campus Network Infrastructure -- Telephony -- Voice Mail -- Wireless

Multimedia Services (includes Machine Shop) - James Evans, Director

Advising & Learning Assistance Center – Dr. Michael Hanna, Director Advising at the Department level at Rensselaer English as a Second Language (ESL) Intervention Study Skills Tutoring and Learning -- Learning Assistance Program -- Supplemental Instruction -- Teaching and Learning Assistance (TLA) Program -- Tutoring

Center for Global Communication + Design - Patricia Search, Director

Archer Center for Student Leadership Development - Tracy Schierenbeck, Director

Center of Career & Professional Development - Philip Bruce, Director

Vice Provost for Undergraduate Education - Keith Moo-Young Undergraduate Education and Research Programs Exchange and Study-Abroad Programs

222

The Faculty Senate Curriculum Committee (FSCC) – Professor Chris Meyer

Vice President – Student Life – Peter Konwerski Dean of Students Office – Travis Apgar, Dean Greek Life International Services for Students and Scholars Office of Minority Student Affairs Disability Services for Students Office of the First Year Experience – Janelle Fayette, Dean Student Orientation Navigating Rensselaer & Beyond Tuesday Night Toolbox Family Programs Information and Personal Assistance Center (IPAC) Student Health Center – Dr. Leslie Lawrence, Executive Director Athletics – Lee McElroy, Athletic Director Rensselaer Student Union—Charlie Potts, Director Student senate, student organizations, clubs, intramurals, services, etc. The Executive Board of the Union

Office of Enrollment Management—Jonathan Wexler, Vice President Karen Long, Director, Undergraduate Admissions Standing and Oversight Committees Undergraduate Recruitment

Office of the Registrar—Suzanne Dunn, Acting Registrar

6. Definition of a Credit Unit

The School of Engineering offers courses with 1, 2, 3, or 4 credit hours. All courses have scheduled classes a minimum of 1 hour per credit hour per week. Thus, 4 credit courses meet a minimum of 4 hours per week. In addition, students are expected to perform a minimum of out- of-class work and study equal to 1.5 times the number of credit hours per week. Thus, students taking a 4-credit course should spend a minimum of 6 hours per week of out-of-class effort. Obviously, these are guidelines for minimum expected requirements for time commitment, not average. Some courses, especially those with laboratory components, meet more than the minimum number of credit hours per week. For example, a 4-credit course with a laboratory component may meet 6 hours per week.

Rensselaer follows a semester system, with a 15-week Fall semester (including a final exam period) that ends in approximately the third week of December and a 15-week Spring semester that ends in the second week of May. The above credit hour definitions apply only to the Fall and Spring semesters.

223

There are also 3 summer semesters of varying length. In the summer courses are normally scheduled 5 days a week over a six week span, and the total number of contact hours during the summer term equals the total number during the semester. There are two such 6-week summer sessions, and a student might expect to take 2 courses per session as a maximum reasonable load. A few courses are scheduled over the entire summer, within a total of 13 weeks.

To graduate in the School of Engineering, students complete a minimum of 128 credit hours, or, nominally, 16 credit hours per semester. Thus, students are expected to spend at least 40 hours per week in academic pursuits.

224

7. Tables

Table D-7.1: Biomedical Engineering – Enrollment & Degree Data

Grad Grad Enrollment Year Total Total Degrees Awarded Academic Year 1st 2nd 3rd 4th 5th* Undergrad Associates Bachelors Masters Doctorates Current AY FT 120 108 100 103 431 62 NA 85 13 12

Year 2018-19 PT 3 1 year prior NA FT 118 105 103 104 430 60 97 22 10 to current AY 2017-18 year PT 3 2 years prior NA FT 122 100 87 124 433 50 101 11 6 to current AY 2016-17 year PT 2 3 years prior NA FT 95 87 108 122 412 47 97 17 3 to current AY 2015-16 year PT 0 4 years prior NA FT 85 107 106 94 392 53 72 16 8 to current AY 2014-15 year PT 5

Official fall term enrollment figures (head count) for the current and preceding four academic years and undergraduate and graduate degrees conferred during each of those years. The "current" year means the academic year preceding the on-site visit.

FT—full-time PT—part-time  There is no official 5th year in engineering. Student who are in reality in their 5th academic year are counted by the registrar as 4th year engineering students.

225

Table D-7.2: Personnel Biomedical Engineering Year: Fall 2018 HEAD COUNT FTE

FT PT Administrative 2.5 0 2.5 Faculty (tenure-track) 13 - 13 Other Faculty (excluding student Assistants) 6 1 6.33 Student Teaching Assistants 23* - - Student Research Assistants 34* - -

Technicians/Specialists 1 - 1

Office/Clerical Employees 3 - 2.5

Others (post docs+SoE support†) 7+2 - 7+2

* Teaching and Research Assistants are graduate students † School of Engineer staff, technical support, advising staff, technicians, technical staff which aid all programs within the School of Engineering. The SoE numbers appearing in the last line of Table D-7.2 shown above reflect that fraction of the total which is estimated to contributed to BMED.

226

Appendix E – Assessment Materials

1) 2018 BME Alumni Survey

Please provide the following:

1. Year of graduation:

2. Gender: M F

3. Geographic location of your first employment following graduation (city, state, and country)

4. Industry of first employment following graduation?

5. First job title following graduation?

6. Have you pursued a BME career in industry, government or academia since graduation?

7. Did the RPI BME degree prepare you for your career?

8. If you are NOT pursuing a BME career in industry but are employed in industry, did the RPI BME degree prepare you for this career?

9. Since graduating, are you or were you pursuing a graduate or professional degree or other formal training?

10. Please provide the following information: Area of Study, Degree Sought, Date of Graduation

11. Did the RPI BME degree prepare you for your advanced studies?

Please indicate your level of agreement with the following statements based on ABET Student Outcomes:

5 – Strongly Agree 4 – Agree 3 – Neutral 2 – Disagree 1 – Strongly Disagree

1. My RPI BME experience gave me the ability to apply knowledge of mathematics, science, and engineering appropriate to biomedical engineering.

227

2. My RPI BME experience gave me the ability to design and conduct experiments, analyze and interpret data.

3. My RPI BME experience gave me the ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.

4. My RPI BME experience gave me the ability to function on multidisciplinary teams.

5. My RPI BME experience gave me the ability to identify, formulate, and solve biomedical engineering problems.

6. My RPI BME experience gave me an understanding of professional and ethical responsibility.

7. My RPI BME experience gave me the ability to communicate effectively.

8. My RPI BME experience gave the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental and societal context.

9. My RPI BME experience made me recognize the need for, and an ability to engage in lifelong learning.

10. My RPI BME experience gave me a knowledge of contemporary issues.

11. My RPI BME experience gave me the ability to use techniques, skills, and modern engineering tools necessary for biomedical engineering practices.

12. My RPI BME experience gave me the ability to apply biology and physiology as well as mathematics, science and engineering to solve biomedical engineering problems.

13. My RPI BME experience gave me the ability to make measurements on and interpret data from the living systems, addressing problems associated with the interaction between living and non-living materials and systems.

For RPI BME graduates in general, please indicate how important each educational objective is. 5 – Very Important 4 – Important 3 – Neutral 2 – Unimportant 1 – Very Unimportant

1. Be engaged in professional practice or be enrolled in high quality advanced academic or industrial training programs.

228

2. Function in a technically competent manner to address challenges in biomedical engineering, medicine and biology. 3. Contribute to and lead multidisciplinary teams in industrial, academic and clinical environments. 4. Be engaged in the design of biomedical products, processes, and systems within the context of ethical, societal and environmental factors. 5. Be engaged in life-long learning that expands their knowledge and appreciation of global contemporary professional issues and practices.

If RPI BME graduates are employed under your leadership and direction at your firm, please use the statements below to indicate how RPI BME graduates compare to BME graduates from other universities.

5 – Strongly Agree 4 – Agree 3 – Neutral 2 – Disagree 1 – Strongly Disagree

1. Engagement in professional practice or continued enrollment in high quality advanced academic or industrial training programs. 2. Function in a technically competent manner to address challenges in biomedical engineering, medicine and biology. 3. Contribution to and/or leadership of multidisciplinary teams in industrial, academic and clinical environments. 4. Engagement in the design of biomedical products, processes, and systems within the context of ethical, societal and environmental factors. 5. Engagement in life-long learning that expands their knowledge and appreciation of global contemporary professional issues and practices.

Please provide any suggestion you may have regarding this survey.

229

2019 BME Alumni Survey

Please provide the following:

1. Year of graduation:

2. Gender: M F

3. Geographic location of your first employment following graduation (city, state, and country)

4. Industry of first employment following graduation?

5. First job title following graduation?

6. Have you pursued a BME career in industry, government or academia since graduation?

7. Did the RPI BME degree prepare you for your career?

8. If you are NOT pursuing a BME career in industry but are employed in industry, did the RPI BME degree prepare you for this career?

9. Since graduating, are you or were you pursuing a graduate or professional degree or other formal training?

10. Please provide the following information: Area of Study, Degree Sought, Date of Graduation

11. Did the RPI BME degree prepare you for your advanced studies?

Please indicate your level of agreement with the following statements based on ABET Student Outcomes:

1 - Strongly Disagree (SD) 2 - Disagree (D) 3 - Agree (A) 4 - Strongly Agree (SA) 0 - Not Applicable (N/A)

1. My RPI BME experience gave me the ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.

230

2. My RPI BME experience gave me the ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.

3. My RPI BME experience gave me the ability to communicate effectively with a range of audiences.

4. My RPI BME experience gave me the ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.

5. My RPI BME experience gave me the ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.

6. My RPI BME experience gave me the ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.

7. My RPI BME experience gave me the ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

8. My RPI BME experience gave me the ability to apply principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

9. My RPI BME experience gave me the ability to solve bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

10. My RPI BME experience gave me the ability to analyze, model, design, and realize bio/biomedical engineering devices, systems, components, or processes.

11. My RPI BME experience gave me the ability to make measurements on and interpret data from living systems.

For RPI BME graduates in general, please indicate how important each educational objective is.

1 – Unimportant (U) 2 - Neutral (N) 3 - Important (I) 4 – Very Important (VI) 0 - Not Applicable (N/A)

231

1. be engaged in professional practice in industry, academia, or government related to biomedical engineering; and/or 2. have enrolled in an academic program pursuing a graduate, medical, law, business, or other professional post-graduate degree.

Please provide any suggestion you may have regarding this survey.

232

2) 2018 BME Senior Exit Survey

We are engaged in a continual process of improving our Biomedical Engineering curriculum. Your input is needed to help us assess what works well and what needs improving. Your thoughts are greatly appreciated!

1 - Not Applicable (N/A) 2 - Strongly Disagree (SD) 3 - Disagree (D) 4 - Agree (A) 5 - Strongly Agree (SA)

Part 1 - General Curricular and Extracurricular Assessment

N/A SD D A SA Classes were valuable in the learning experience 1 2 3 4 5 Class sizes were adequate for effective learning 1 2 3 4 5 Amount of work was reasonable 1 2 3 4 5 Tests were generally fair 1 2 3 4 5 Class level of difficulty was reasonable 1 2 3 4 5 Course objectives were stated and followed 1 2 3 4 5 Coursework and examples used were meaningful 1 2 3 4 5 Teachers were helpful and approachable 1 2 3 4 5 TAs were helpful in the learning experience 1 2 3 4 5 Homework assignments were useful and meaningful 1 2 3 4 5

Part 2 – Curriculum Assessment

As a result of my biomedical engineering curriculum, including core engineering and professional development courses, I have gained the ability to …

N/A SD D A SA Design and conduct experiments 1 2 3 4 5 Design a system, component, or a process 1 2 3 4 5 Function on multi-disciplinary teams as a leader 1 2 3 4 5 Function on multi-disciplinary teams as a member 1 2 3 4 5 Identify, formulate, and solve engineering problems 1 2 3 4 5 Apply knowledge of computing 1 2 3 4 5 Use techniques, skills, tools for engineering practice 1 2 3 4 5 Use computer tools for modeling and simulation 1 2 3 4 5 Use computer tools for data analysis and interpretation 1 2 3 4 5 Understand professional and ethical responsibility 1 2 3 4 5 Communicate effectively 1 2 3 4 5 Engage in life-long learning 1 2 3 4 5

233

Part 3 – Academic Advising

My academic advising/advisor was …

N/A SD D A SA A valuable part of my Rensselaer experience 1 2 3 4 5 Available with sufficient office hours 1 2 3 4 5 Helpful in developing my career goals 1 2 3 4 5 Respectful of my career goals & decisions 1 2 3 4 5 Honest in explaining the impact of my decisions 1 2 3 4 5 1 2 3 4 5 Knowledgeable of graduation requirements

Please discuss things you would like to change about the advising process:

Part 4 - Specific Questions on the BMED Curriculum

Please rate yourself using the following scale: (Poor, Fair, Good, Very Good, Excellent, Not Applicable)

1. Rate your ability to pose a realistic biomedical engineering problem mathematically, extract useful information from that model, and relate that information back to an engineering design problem.

2. How well can you apply calculus and differential equations to engineering modeling and analysis?

3. Rate your knowledge of biology and physiology and how it applies to the practice of biomedical engineering.

4. How well can you design and conduct an experiment to make measurements in living biological systems?

5. How well do you understand biomaterials and its application to biomedical engineering problems?

6. How well do you understand bioinstrumentation and imaging, and its application to biomedical engineering problems?

7. How well do you understand biomechanics and its application to biomedical engineering problems?

8. Rate your familiarity with statistics (biostatistics) and its use in biomedical engineering practice (e.g., handling uncertainty in experimental data).

9. Assess your ability to communicate with others through oral presentations.

234

10. Assess your ability to communicate with others in writing.

11. How adept are you at including social, societal, political, and world-view considerations in the solution of engineering problems?

12. How knowledgeable are you of modern issues as they pertain to the professional and ethical conduct of a biomedical engineer?

Part 5 – Extracurricular Activities and Life after RPI

1. Please list your extracurricular activities, including sports, student groups/clubs, and student chapters of professional societies.

2. Do you belong to any professional societies? For example BMES, SWE, NSBE, SHPE.

3. What are your plans for after graduation over the next several years (grad school, Peace Corps, employment, etc.)?

Part 6 - Summary Comments

Please add any other constructive criticism that you care to share about your experiences in the Biomedical Engineering undergraduate program:

235

2019 BME Senior Exit Survey

We are engaged in a continual process of improving our Biomedical Engineering curriculum. Your input is needed to help us assess what works well and what needs improving. Your thoughts are greatly appreciated!

1 - Strongly Disagree (SD) 2 - Disagree (D) 3 - Agree (A) 4 - Strongly Agree (SA) 0 - Not Applicable (N/A)

Part 1 - General Curricular and Extracurricular Assessment

SD D A SA N/A Classes were valuable in the learning experience 1 2 3 4 0 Class sizes were adequate for effective learning 1 2 3 4 0 Class level of difficulty was reasonable 1 2 3 4 0 Course objectives were stated and followed 1 2 3 4 0 Coursework and examples used were meaningful 1 2 3 4 0 Instructors were helpful 1 2 3 4 0 Instructors were available and approachable 1 2 3 4 0 TAs were helpful in the learning experience 1 2 3 4 0 Homework assignments were useful and meaningful 1 2 3 4 0

Part 2 – Academic Advising

My academic advising/advisor was …

SD D A SA N/A A valuable part of my Rensselaer experience 1 2 3 4 0 Available with sufficient office hours 1 2 3 4 0 Helpful in developing my career goals 1 2 3 4 0 Respectful of my career goals & decisions 1 2 3 4 0 Honest in explaining the impact of my decisions 1 2 3 4 0 1 2 3 4 0 Knowledgeable of graduation requirements

Please discuss things you would like to change about the advising process:

236

Part 3 – Curriculum Assessment

Please rate yourself using the following scale: (Poor - 1, Fair - 2, Good - 3, Very Good - 4)

1. Rate your ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.

2. Rate your ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.

3. Rate your ability to communicate effectively with a range of audiences.

4. Rate your ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.

5. Rate your ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.

6. Rate your ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.

7. Rate your ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Part 4 - Specific Questions on the BMED Curriculum

Please rate yourself using the following scale: (Poor - 1, Fair - 2, Good - 3, Very Good - 4)

1. Rate your ability to apply principles of engineering, biology, human physiology, chemistry, calculus-based physics, mathematics (through differential equations) and statistics.

2. Rate your ability to solve bio/biomedical engineering problems, including those associated with the interaction between living and non-living systems.

3. Rate your ability to analyze, model, design, and realize bio/biomedical engineering devices, systems, components, or processes.

4. Rate your ability to make measurements on and interpret data from living systems.

237

Part 5 – Extracurricular Activities and Life after RPI

1. Please list your extracurricular activities, including sports, student groups/clubs, and student chapters of professional societies.

2. Do you belong to any professional societies? For example BMES, SWE, NSBE, SHPE.

3. What are your plans for after graduation over the next several years (grad school, Peace Corps, medical school, employment, etc.)?

Part 6 - Summary Comments

Please add any other constructive criticism that you care to share about your experiences in the Biomedical Engineering undergraduate program:

238

3) Co-op Employer Evaluations

RENSSELAER POLYTECHNIC INSTITUTE, TROY, NY COOPERATIVE EDUCATION PROGRAM

Employer Evaluation of Co-op Student Performance

Name of Student: Academic Major:

Name/Location of Employer:

Instructions: Please check the appropriate box below to indicate the co-op student’s level of work performance. Also, add comments below as relevant.

Above Below Average Excellent Criteria Average Average (Top 50%) (Top 10%) (Top 25%) TEAM WORK Works well with others, values diversity, and strives toward team goals. ATTITUDE Enthusiastic, positive and displays interest in work. INITIATIVE Self-motivated, diligent, and seeks additional work when necessary. DECISION-MAKING Evaluates options, displays maturity and demonstrates good judgment. TECHNICAL SKILLS Proficient and adept in field of assigned responsibilities. LEADERSHIP QUALITIES Possesses potential to lead and direct others. COMMUNICATION Can express self well to superiors and employees across all levels. ACCOMPLISHMENT OF OBJECTIVES Task oriented, persistent, and steadily works toward completion of tasks. QUALITY OF WORK Takes pride in work; displays neatness, thoroughness and accuracy.

Additional Comments of Supervisor:

Evaluator’s Name: Date:

239

Appendix F – Additional Materials

Sample of one Curriculum, Advising, and Program Planning (CAPP) Report

240

241

242

243

244

245

An example of a report in Degree Works is shown below.

246

247

248

249

Acronyms

ABET Accreditation Board for Engineering and Technology ALAC Advising and Learning Assistance Center AMC Albany Medical College BME Biomedical Engineering BMES Biomedical Engineering Society CAPP Curriculum, Advising and Program Planning CBIS Center for Biotechnology and Interdisciplinary Studies CCPD Rensselaer’s Center for Career and Professional Development CLASS Clustered Learning, Advocacy and Support for Students DCO Degree Clearance Officer EAC Engineering Accreditation Commission ECG Electrocardiography EWS Electronic Warning System FIP Faculty Intervention Program FSCC Faculty Senate Curriculum Committee GPA Grade Point Average JEC Jonsson Engineering Center IPAC Information and Personal Assistance Center IT Information Technology MILL Manufacturing and Innovation Learning Lab MOOC Massive Open Online Courses MSDS Material Safety Data Sheet PD Professional Development (course) PDS Product Design Specification PEO Program Educational Objective PPE Personal Protective Equipment RPI Rensselaer Polytechnic Institute SAM Student Advisory Meeting SECC School of Engineering Curriculum Committee SIS Student Information System SO Student Outcome SoE School of Engineering TA Teaching Assistant UCC Undergraduate Curriculum Committee (of the department) UNGS Undecided General Studies URP Undergraduate Research Program

250