15.053 Optimization Methods in Business Analytics
Introduces optimization methods with a focus on modeling, solution techniques, and analysis. Covers linear programming, network optimization, integer programming, nonlinear programming, and dynamic programming. Applications to logistics, manufacturing, statistics, machine learning, transportation, game theory, marketing, project management, and finance. Includes a project in which student teams select and solve an optimization problem (possibly a large-scale problem) of practical interest.
15.053 will not be offered this semester. It will be available in the Spring semester, and will be instructed by J. Orlin.
Lecture occurs 1:00 PM to 2:30 PM on Tuesdays and Thursdays in E51-335.
This class counts for a total of 12 credits.
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