MMA 607 - Prescriptive Analytics

3 units (fi 6)(SECOND, 3-0-0)

This course is designed to provide a foundation of prescriptive analytics based on mathematical modeling and optimization for managerial decision-making. Topics covered in the course include decision analysis; simulation modeling; constraint programming and constraint-based optimization; network optimization and graph algorithms; optimization under uncertainty; application of prescriptive analytics techniques in various industries; integration of predictive and prescriptive analytics; and practical implementation of prescriptive analytics techniques to solve real-world problems. By the end of the course, students will have a solid understanding of prescriptive analytics techniques and their practical applications. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

OM 468 - Business Analytics Consulting Project

3 units (fi 6)(SECOND, 3-0-0)

This course applies the techniques developed in MGTSC 312, OM 352, and business analytics courses to a group project. The emphasis in the projects is on quantitative approaches to business problems. Student groups will be assigned to consulting projects from businesses and other organizations. Groups will work on their projects under the supervision of the instructor(s). Prerequisites: MGTSC 312 (or equivalent) and OM 352. Restricted to fourth year students.

OM 702 - Advanced Research Topics in Operations Management

3 units (fi 6)(EITHER, 3-0-0)

This course will provide an in-depth introduction to a particular methodology or a particular setting that is relevant to research in operations management. The topic may vary from year to year. Possible topics include optimization modeling and formulation, stochastic modeling and optimization, behavioural research in operations management, and health care operations management. The required background for students will vary depending on the topic. This course may be appropriate for some graduate students in engineering or computing science. Prerequisite: Written permission of the instructor. Approval of the Business PhD Program Director is also required for non-PhD students.