15.774 The Analytics of Operations Management

Class Info

Introduces core concepts and methods in data-driven modeling that inform and optimize decisions under uncertainty. Teaches modeling and computational skills (R and Julia). Covers topics such as time series forecasting, choice modeling, queuing theory, network models, dynamic programming, mixed-integer programming, stochastic optimization, matching algorithms, multi-armed bandits. Draws on real-world applications from retail, healthcare, logistics, supply chain, social and online networks, sports analytics, social applications, and online learning.

This class has 15.060 as a corequisite.

15.774 will be offered this semester (Fall 2017). It is instructed by G. Perakis, V. Farias and R. Levi.

Lecture occurs 4:00 PM to 5:30 PM on Tuesdays and Thursdays in E51-315.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+15.774&btnG=Google+Search&inurl=https site or on the 15.774 Stellar site.

MIT 15.774 The Analytics of Operations Management Related Textbooks
MIT 15.774 The Analytics of Operations Management On The Web

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