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15.780 Stochastic Models in Business Analytics

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Prereq: 6.041B, 15.0791, or permission of instructor
Units: 3-0-9
Lecture: MW12.30-2 (VIRTUAL) Recitation: F2 (VIRTUAL)

Introduces core concepts in data-driven stochastic modeling that inform and optimize business decisions under uncertainty. Covers stochastic models and frameworks, such as queuing theory, time series forecasting, network models, dynamic programming, and stochastic optimization. Draws on real-world applications, with several examples from retail, healthcare, logistics, supply chain, social and online networks, and sports analytics.
N. Golrezaei
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