Registrar Home | Registrar Search:
Home | Subject Search | Help | Symbols Help | Pre-Reg Help | Final Exam Schedule | My Selections

MIT Subject Listing & Schedule
IAP/Spring 2020 Search Results

Searched for:

1 subject found.

15.727 The Analytics Edge
______

Graduate (Spring)
Prereq: 15.730 or permission of instructor
Units: 3-0-6
Lecture: TBA
______
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.
D. Bertsimas
No textbook information available