University of Bridgeport s2

TMPD 706

UNIVERSITY OF BRIDGEPORT School of Engineering

COURSE OUTLINE TMPD 706 - Quantitative Methodologies

Instructor: Elif Kongar Office: 141 TECH Course Number: TMPD 706 E-mail: [email protected] Credit Hours: 3 Phone: (203) 576-4379 Office Hours: Tuesday: 1:00 PM – 3:00 PM Thursday: 3:00 PM – 5:00 PM [Other times by appointment]

Course Description: This course provides the mathematical and statistical preparation to support subsequent doctoral course work within the Technology Management department and prepare the student to apply quantitative methods and data analysis techniques. Topics include probability, statistics, measurement and evaluation, sampling, designing studies, linear algebra, linear programming, optimization, simulation, modeling and regression analysis. Students make extensive use of leading-edge industry software packages. 3 lecture hours, 3 semester-hour credit.

Course Objective:

The purpose of this course is to provide an in depth coverage and applications of production management to complex real-world problems. The course aims to develop a sense of critical thinking, learning and problem solving. The topics to be covered are:

 Basic probability and statistics.  Marginal and conditional probabilities.  Regression analysis.  Basic forecasting methods.  Linear programming models.  Simplex method.  Duality and Sensitivity.  Assignment problems.  Transportation problems.  LINGO programming language.  Decision making problems.  Decision trees.  Decision criteria.

Textbook:

1. Taha, Hamdy A., Operations Research: An Introduction (9th Edition) Publication Date: September 8, 2010 | ISBN-10: 013255593X | ISBN-13: 978-0132555937,Hardcover: 832 pages, Publisher: Prentice Hall 2. Additional handouts will be provided through out the semester.

Additional References:

1. Frederick S. Hillier and Gerald J. Lieberman, Introduction to Operations Research, Seventh Edition, 2001. ISBN # 0072321695. 2. Decision Making and Forecasting by Marshall / Oliver, ISBN: 0-07-048027-3. 3. Probability and Statistics for Engineers and Scientists – Sixth Edition by Walpole, Myers and Myers, 1998, ISBN: 0-13-840208-6.

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4. An Introduction to Management Science by Anderson, Sweeney and Williams. ISBN: 0-314- 79321-6. 5. Quantitative Analysis for Business Decisions by Bierman, Bonini and Hausman, ISBN: 0-256- 00068-9. 6. Disassembly Modeling for Assembly, Maintenance, Reuse, and recycling, Lambert, A.J.D. and Gupta, S.M., CRC Press, 2005.

Topics:

 Introduction and Basic Probability and Statistics. (2 weeks)  Introduction to Decision Analysis. (1 week)  Decision Making Under Uncertainty and Decision Trees (1 week).  Forecasting Techniques (2 weeks)  Introduction to Operations Research, Graphical Solution. (1 week)  Solving Linear Programming Problems: The Simplex Method. (1 week)  Duality Theory and Sensitivity Analysis. (1 week)  Lingo Programming Language. (1 week)  The Transportation and Assignment Problems. (1 week)  Design of Experiments (2 weeks)  Remaining time for student presentation and project demonstrations. (2 weeks)

Schedule and Classroom:  Thursday 6:15 – 08:45PM  Mandeville Hall, Room 223 (MAN 223)

Examinations and Grading Criteria

 Assignments: 30% - Announced throughout the semester  Midterm exam: 35%  Final Exam (Project/Paper): 35% - Will be explained in detail during the course

Attendance / BB utilization will be considered as a part of the final exam grade. Bonus points will be credited throughout the course. The grading is subject to change and the changes will be communicated with the students.

Software:

General spreadsheet applications will be used throughout the semester.

Policies:

 Late homework / project assignment submission will not be accepted.  Three or more unexcused absences will result in an automatic failure.  Make-up exams / quizzes will not be allowed (except for prior instructor approval for a documented emergency)  Homework assignments and programs are due within a week from the assignment date, unless the instructor notes otherwise.  All homework assignments are to be typed.  Programs are to be submitted with all I/O files and source code hardcopies.  Extra credit quizzes, assignments, and programs (if any) will be announced by the instructor.  It is the student's responsibility to familiarize himself or herself with and adhere to the standards set forth in the policies on cheating and plagiarism as defined in Chapters 2

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and 5 of the Key to UB http://www.bridgeport.edu/pages/2623.asp or the appropriate graduate program handbook.  As a UB policy, it is expected that each student that attends one hour of classroom instruction will require a minimum of two hours of out of class student work each week for approximately fifteen weeks for one semester.

Assignment Submission Guidelines 1. Computer-type your assignments (preferably MS-Word format). 2. Save your file with a proper filename format: e.g: If the student name is Elif Kongar, student ID# 0123456, Homework Assignment 1; the filename should be: TCMG524_Elif_Kongar_0123456_HW1. 3. Login to myub and click on the Canvas link under Library & Technology Resources. Use the first part of your UB email as username (for example: jbond, without the @bridgeport.edu) and follow the instructions to set up your password. 4. Sign in to your UB Canvas account and then into the course, e.g. “Statistical Quality Control Techniques” to submit your assignments.

To access Canvas tutorial for faculty: https://bridgeport.instructure.com/courses/900843 UB Canvas account can also be accessed through the URL: https://bridgeport.instructure.com/login

Important Dates

Classes Begin Monday, 8/29 Midterm Exam Thursday, 10/27 Thanksgiving Recess – No Classes Wednesday-Sunday, 11/23 – 11/27 Final Exam Thursday, 12/1-12/8 Last Day of Classes Friday, 12/9 Final Grades Due Monday, 12/19

Academic Calendar: http://www.bridgeport.edu/academics/academic-calendar/fall-2016-spring-2017/

Grading scale

Letter Grade Percentage A 94.9 – 100% A- 90 – 94.8% B+ 87 – 89.9% B 83 – 86.9% B- 80 – 82.9% C+ 77 – 79.9% C 73 – 76.9% C- 70 – 72.9% D+ 67 – 69.9% D 63 – 66.9% D- 60 – 62.9% F Below 60%

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Weekly Schedule

Weekly Schedule (8/29/16 12/9/16) Please note that the class notes and handouts are updated every week

Week Date Topic 1 9/1  Syllabus  Introduction to the Class  Basic probability and statistics.  Marginal and conditional probabilities. 2 9/8  Regression analysis. Assignment 1-2 3 9/15  Introduction to Decision Analysis o Expected (monetary) value o Maximin (conservative, pessimistic) o Maximax (optimistic, desperate) o Maximin regret (conservative, pessimistic)

4 9/22  Decision Making Under Uncertainty and Decision Trees Assignment 1-2 due 5 9/29  Forecasting Techniques o Moving Average o Weighted Moving Average o Exponential Smoothing o Others

6 10/6  Forecasting Techniques – Error Measurement (technique evaluation) o Mean Absolute Deviation (MAD) o Mean squared error (standard error) o Mean absolute percent error (MAPE) Assignment 3-4 7 10/13  Introduction to Operations Research, Graphical Solution

8 10/20  Solving Linear Programming Problems: The Simplex Method Assignment 3-4 due 9 10/27 Midterm Exam 10 11/3  Ranking o Analytical Hierarchy Process (AHP) o Data Envelopment Analysis (DEA) Assignment 5-6 11 11/10 The Transportation and Assignment Problems Assignment 7-8 12 11/17 Assignment 5-6 due 13 11/24 Assignment 7-8 due Course Review 14-15 12/1- Final Project Discussion– Final Project Due

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