Simulation and Optimization Models

Catalog description

This course is a continuation of the prescriptive analytics concepts introduced in MGT 226 . Students will learn how to develop and solve models under business certainty and uncertainty to enhance decision-making. Topics covered include Monte Carlo simulation, linear programming, network models, and integer programming. Some of the application areas covered are portfolio optimization, project scheduling, resource allocation, and supply chain management. Students will use Microsoft Excel for modeling and analysis.