15.053 Optimization Methods in Business Analytics


Class Info

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.

This class has 1.00, 1.000, 6.00, and 6.0001 as prerequisites.

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.

You can find more information on MIT OpenCourseWare at the Optimization Methods in Management Science site or on the 15.053 Stellar site.

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Optimization Methods in Management Science
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