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 not be offered this semester. It will be instructed by .

This class counts for a total of 6 credits. This is a graduate-level class.

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