IE 1144 - 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: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade
Course Requirements: Prerequisites: IE 1081 (Operations Research) for senior undergraduates or IE 2001 (Operations Research) for master students
Click here for class schedule information.
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