MG-GY 6103 B, Management Science, Fall 2022

Course Summary: This course introduces students to analytical thinking and quantitative analysis in managerial decision-making . The course stresses a hands-on approach to management science for a thorough understanding of the methodologies and techniques underlying business modeling .

Course Prerequisites: This course is relatively computer-intensive and working knowledge of Python and Microsoft Excel is assumed . Students should be familiar with working with basic Excel formulas and      chart wizards . Full instructions will be provided to Excel Add-ins and advanced statistical formulas .        Knowledge of algebra, probability, and statistics is required .

Course Description: This course provides students with essential analytical reasoning skills, especially how to use models to think through business problems . While students are introduced to the general    methodologies of Management Science, the focus is on applying the techniques and understanding the meaning of the results obtained . This is accomplished using Python, Excel, and data sets from many    different disciplines .

Learning Objectives: Upon successful completion of the course, students should be able to

•    Translate resource-constrained problems into mathematical models

•    Articulate the differences between, and the uses of, nonlinear, linear, and integer programming models

•    Able to apply principles from queuing, forecasting, simulation, and inventory management for solving management science problems

•    Apply management science thinking to problems outside the classroom

•    Utilize analytical software to construct and build mathematical models

Class Meetings: Attending each class and bringing a laptop computer to class are essential . This course  employs lectures and computer labs . A significant amount of class time will be devoted to practicing the management science techniques presented in the lecture .

Grading:

Required Textbooks:

● Introduction to Management Science, 13th Edition, by Bernard Taylor, ISBN- 13: 978- 0134730660

Recommended Textbooks:

● Optimization in Operation Research, 2nd Edition, by Ronald Rardin, ISBN- 13: 978-0134384559

● Data, Models, and Decisions: The Fundamentals of Management Science, by Dimitris Bertsimas, Robert Freund, ISBN- 13: 978-0975914601

Follett Access:  This course participates in the Follett Access program . This is an NYU

Bookstore initiative that delivers required course materials at the lowest possible price . The required        book, “Introduction to Management Science” by Taylor will be delivered to the students digitally through the Brytewave platform . The cost of the book is $33 .00, which will be added as a “book charge” to the     student’s bursar bill . If you decide not to use this digital edition you can opt-out of the program . The        deadline for opting out is September 16th . If you opt-out or drop the charge will be reversed a few days    later .

Web Site: Course materials (homework assignments, etc .) will be maintained on Brightspace . It is your responsibility to download the required material (e .g . , examples for the class session) ahead of the        class .

Course Schedule (tentative):