15.774 The Analytics of Operations Management
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.
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.
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