MSBA 5509 HY: Optimization for Business Analytics
This course examines optimization through a Business Analytics lens. Students will learn how to translate business scenarios into mathematical models and use linear and nonlinear optimization applications such as revenue management and portfolio optimization, supply chain design and facility location problems, inventory control models with probabilistic demands, and waiting line models. Topics include Process Analysis, Linear Programming, Integer Linear Programming, Queuing Models, Inventory Models, and Simulation. A mathematical programming language (AMPL) will be introduced in this course. This course is only available for graduate students enrolled in the Barowsky School of Business or 4+1 business majors with Program Director approval.