The Ohio State University s13

Fisher College of Business The Ohio State University

Syllabus

Business Adm 3632.05 – Design and Development of Business Analytics Solutions (3 Credit Hours) Spring Semester 2018

Instructor: Ralph Greco, BS. MS. Industrial Engineering 257 Mason Hall [email protected] (Office) 614-688-8090 (Cell) 614-286-3350

Class Schedule: Tuesday Section #1 3:15 – 5:15, Caldwell 177 Tuesday Section #2 5:30 – 7:30, Caldwell 177

This course is the second in a two-course sequence that comprises the course requirement for students enrolled in the Fisher Business Analytics Immersion Program and which, when combined with other requirements, provides students with in-depth competence in Business Analytics business practices. Instructional staff for this second course in the two-course sequence includes Faculty from the Fisher College as well as representatives from the sponsoring companies – Lane Bryant, NiSource, Cardinal Health, OEC, OSU Development, ACCAD and Kokosing Construction.

Learning Objectives

1. To gain hands on experience in the execution of a project focusing on Business Analytics.

2. To gain experience in working in small teams with tight deadlines. All projects will have ten-week time frame.

3. To have practical exposure to presenting results of a Data Analysis. What insights can be obtained for the data/model, and how can those insights drive further actions or value? Course Overview

This semester, the class will focus on Student lead/driven projects. These projects have been selected by either our Sponsors (Lane Bryant, Kokosing Construction, OSU Development, OEC, Cardinal Health, NiSource) or by the Faculty Coordinator.

Students will self select as to which project they want to work on. Once that is determined, teams will be created.

The students will work closely with the executives from our Sponsors, and their key executive assigned to work with the team. Students are expected to discuss their project plan and ideas with the Sponsor and Fisher Faculty.

The students will create and present the following deliverables for each of the projects they are assigned –

1. Power Point presentation -- Project Plans 2. Power Point presentation -- Progress Report 3. Power Point presentation –- Final Results a. Description of Question to be answered b. Data utilized, model utilized c. Insights, Actions and Values

The timing of these deliverables is documented in the class schedule. Electronic copies of these presentations will be due to the instructor by noon on the day they are to be presented. No exceptions.

Course Mechanics

Grading

Project Project Plan 12 Points (before Spring Break) Progress Report 18 Points (before Spring Break) Final Presentation 35 Points

Individual Assignments Journal Review #1 5 Points (before Spring Break) Journal Review #2 5 Points Data Set Discussion 10 Points (before Spring Break) Book Review 15 Points

All students in the team will receive the exact same grade; there will be NO differentiation of the scoring amongst the teams. At all.

The final presentation will be graded for both the content and, just as important, how than content is presented. Sponsor feedback will be used in the grading process. Attendance Policy

Students are expected to attend all cluster activities and classes. Absences will be excused only in the case of health problems (doctor’s note required) or death in the family. Unexcused absence will result in reduction of points from the final course grade.

Cell Phone Use

Absolutely no cell phone use in class whatsoever! During breaks or outside of classroom, no problem.

Computer or Tablet Use

Only allowed in the classroom for presentations. If we are working as teams during class, then laptops can be out. At all other times, the laptops or tablets must be turned off and out of sight.

Disability Services

Students with disabilities that have been certified by the Office for Disability Services will be appropriately accommodated and should inform the instructor as soon as possible of their needs. The Office for Disability Services is located in 150 Pomerene Hall, 1760 Neil Avenue; telephone number is 292-3307, TDD is 292-0901; http://www.ods.ohio-state.edu/

Academic Misconduct

This policy will be strictly followed in both recitation and lecture Academic integrity is essential to maintaining an environment that fosters excellence in teaching, research, and other educational and scholarly activities. Thus, The Ohio State University and the Committee on Academic Misconduct (COAM) expect that all students have read and understand the University’s Code of Student Conduct, and that all students will complete all academic and scholarly assignments with fairness and honesty. Students must recognize that failure to follow the rules and guidelines established in the University’s Code of Student Conduct and this syllabus may constitute “Academic Misconduct.”

The Ohio State University’s Code of Student Conduct (Section 3335-23-04) defines academic misconduct as: “Any activity that tends to compromise the academic integrity of the University, or subvert the educational process.” Examples of academic misconduct include (but are not limited to) plagiarism, collusion (unauthorized collaboration), copying the work of another student, and possession of unauthorized materials during an examination. Ignorance of the University’s Code of Student Conduct is never considered an “excuse” for academic misconduct, so students should review the Code of Student Conduct and, specifically, the sections dealing with academic misconduct.

If a professor or TA suspects that a student has committed academic misconduct in this course, he or she is obligated by University Rules to report suspicions to the Committee on Academic Misconduct. If COAM determines that you have violated the University’s Code of Student Conduct (i.e., committed academic misconduct), the sanctions for the misconduct could include a failing grade in this course and suspension or dismissal from the University. Tentative Schedule for Spring Semester

Date Lecturer Topic Description Reading and Assignments

1/09 Greco Class Introduction Review of course topics, and expectations. objectives, and expectations of instructor. Discussion around projects and sponsor expectations.

1/16 Sponsors Project Discussion Project Management Greco Stakeholder Management

1/23 Greco Project Work Work on project during class time and in the classroom. Faculty to be available to work with students on their projects. 1/30 Greco Student Each group will present for Project Plan to be in drop Presentations 7-10 minutes about their box by noon. project, their project plan, and timeline to completion. 2/06 Greco Journal Review #1 Students will be asked to Journal Review to be handed Guest Guest Speaker discuss several scientific in during class. Speaker articles that focus on Analytics

2/13 Greco Project Work Work on project during class time and in the classroom. Faculty to be available to work with students on their projects.

2/20 Greco Project Progress Each group will present for Progress Reports due in drop Reports 7-10 minutes about their box by noon. project, and their timeline to completion.

2/27 NO CLASS. END OF FIRST SEVEN WEEK CLASSES.

3/06 Greco Project Midway Each group will present to Data Set Discussion due in Sponsors Update to Sponsors Faculty and Stakeholders drop box by noon. and Stakeholders about where they are in the project and what work will be completed by end of semester. 3/13 Spring Break

3/20 Greco Journal Review #2 Students will be asked to Journal Review to be handed Guest Guest Speaker discuss several scientific in during class. Speaker articles that focus on Analytics 3/27 Greco Project Work Work on project during class time and in the classroom. Faculty to be available to work with students on their projects. 4/03 Greco Project Work Work on project during class Guest time and in the classroom. Speaker Faculty to be available to work with students on their projects.

4/10 Greco Final Project Students will present in Final presentations due in Sponsors Presentations class their Final Project drop box by noon. Presentations. Day and order is determined by the sponsors, not the students. 4/17 Greco Final Project Students will present in Book Reports due in drop box Sponsors Presentations class their Final Project by noon. Presentations. Day and order is determined by the sponsors, not the students.

Individual Assignment Description

Scientific Journal Reviews

As a class, Scientific Journal articles or other articles of interest will be assigned to the class for reading and discussion. These articles will be posted at the start of the semester and there are dedicated class times for the discussion of these articles.

Each student is to read the articles, be prepared to discuss what they read with the others (and guest speaker) in class. In addition, each student will prepare a written review to handed in before the start of class. This review will be 500 words (no less) and double spaced. The review will cover the following items:

1. What did you think of the article(s)? Was it useful in a business sense or purely academic? 2. What questions do you have after reading the article(s)? 3. What comments do you have after reading the article(s)? 4. Did you look into other similar articles, and if so, what did you learn from those articles?

Book Report Each student will read one of the books in Appendix A, and prepare a review of that book. These reviews will be 1000 words (no less) and should not just be a summary of the main points of the book. Look, if you just tell me about the book, your grade will suffer. The report should cover what you liked about the book, and why you liked it. It should cover what you disliked about the book, and why. Did the book change your thought process? Did you learn anything from the book?

The books are those that were provided by our sponsors. Books they have found to be invaluable, useful in their business or personal lives. Follow MLA format for the report.

Data Set Description

A data set will be provided in the 3rd week of class. This data set will be roughly 10K lines of data, and will include a data dictionary. Your assignment will be to perform EDA (exploratory data analysis) on the data set, and describe the results of the EDA. What can you tell me about the data? What questions can be answered by the data, and what questions can not be answered? What other data, if possible, could be added to the data set to increase its value. Appendix A

Blink: The Power of Thinking Without Thinking. Malcom Gladwell, 2007.

Thinking, Fast and Slow. Daniel Kahneman, 2011.

The War of Art: Break through the blocks and win your inner creative battles. Steven Pressfield and Shawn Coyne, 2012.

Thinkertoys: A Handbook of Creative-Thinking Techniques. Michael Michalko, 2006.

The Black Swan: The Impact of the Highly Improbable. Nassim Nicholas Taleb, 2007.

Our Final Invention: Artificial Intelligence and the End of the Human Era. James Barrat, 2013.