15.060 Data, Models, and Decisions

Class Info

Introduces students to the basic tools in using data to make informed management decisions. Covers basic topics in data analytics, including introductory probability, decision analysis, basic statistics, regression, simulation, linear and discrete optimization, and introductory machine learning. Spreadsheet exercises, cases, and examples drawn from marketing, finance, operations management, and other management functions. Restricted to first-year Sloan master's students.

This class has no prerequisites.

15.060 will be offered this semester (Fall 2019). It is instructed by J. Vielma, R. Freund and G. Perakis.

Lecture occurs 10:00 AM to 11:30 AM on Mondays and Wednesdays in E62-223.

This class counts for a total of 9 credits.

You can find more information on MIT OpenCourseWare at the Data, Models, and Decisions site or on the 15.060 Stellar site.

MIT 15.060 Data, Models, and Decisions Related Textbooks
MIT 15.060 Data, Models, and Decisions On The Web
Data, Models, and Decisions
decision analysis discrete probability distributions normal probability distribution

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