IE 2144 - DISCRETE OPTIMIZATION: MODELING AND COMPUTATION

Minimum Credits: 3
Maximum Credits: 3
Discrete optimization is a powerful modeling and computational tool in decision making, especially for critical industrial systems (e.g., transportation, energy and healthcare systems). In this course, we focus on learning various modeling techniques, classical and popular models (including location, scheduling and material handling problems), and solution techniques (including exact and heuristic algorithms) for these models that lead to millions of dollars savings.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade

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