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MGSC 416 Data-Driven Models for Operations Analytics (3 credits)

Offered by: Management (Desautels Faculty of Management)

Overview

Management Science : Examination of how data-driven models have been used to transform businesses and industries, using examples and case studies in e-commerce, retail, social and online networks, sports analytics, and online advertising. Demonstration of the use of data-driven analytics methods such as time series forecasting, network models, mixed-integer optimization, matching markets and exploration/exploitation.

Terms: This course is not scheduled for the 2024-2025 academic year.

Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • Prerequisites: MGCR 271, INSY 336 or permission of instructor and approval of the BCom Program Office

  • Restriction: Not open to students who have taken MGSC 434 when the topic was "Data-Driven Models for Operations Analytics"

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