Optimization@MIT

15.060 -- Data, Models, and Decisions
Course Description: Introduces students to the basic tools in using data to make informed management decisions. Covers introductory probability, decision analysis, basic statistics, regression, simulation, linear and nonlinear optimization, and discrete optimization. Computer spreadsheet exercises, cases, and examples drawn from marketing, finance, operations management, and other management functions.

This class is at the Graduate level, however it isfirst-year Sloan Master's students
Instructor: D. Bertsimas, R. M. Freund, G. Perakis, A. S. Schulz
Open Courseware Website
Prerequisites: Permission of instructor

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