15.727 The Analytics Edge

Class Info

Introduces modern analytics methods (data mining and optimization), starting with real-world problems where analytics have made a material difference. Modern data mining methods include clustering, classification, logistic regression, CART, random forest methods, and association rules. Modern optimization methods include robust, adaptive and dynamic optimization. Applications include health care, hospital operations, finance, energy, security, internet, and demand modeling. Uses R programming language for data mining and ROME for robust optimization. Restricted to Exeuctive MBA students.

This class has 15.730 as a prerequisite.

15.727 will be offered this semester (Spring 2019). It is instructed by Consult J. Hising DiFabio.

This class counts for a total of 9 credits.

You can find more information at the MIT + 15.727 - Google Search site or on the 15.727 Stellar site.

MIT 15.727 The Analytics Edge Related Textbooks
MIT 15.727 The Analytics Edge On The Web

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