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 be offered this semester (Spring 2018). It is instructed by J. Orlin.
Lecture occurs 10:00 AM to 11:30 AM on Tuesdays and Thursdays in E51-145.
This class counts for a total of 12 credits.
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