94-867 Decision Analytics for Business and Policy

This master's level full-semester course has two modules. In Module 1, we learn basic optimization tools, including linear, integer, multi-objective, stochastic, robust, and dynamic optimization formulation and solution techniques. In Module 2, we apply these tools in operations management, and familiarize students with fundamental concepts in supply chain and inventory management: newsvendor, contracts, postponement, flexibility, EOQ, risk pooling, risk exposure, and bullwhip effect. Classroom activities sometimes involve interactive components, such as case-based discussions and games. Computations are done in Python + Gurobi.

95-760 Decision Making Under Uncertainty

This master's level half-semester course is an introduction to optimization and operations research methods, including linear, integer, multi-objective, stochastic, robust, and dynamic optimization models. Computations are done in Python + Gurobi.