Graduate Courses
Optimization
- Foundations of Optimization
- Optimization I
- Convex Optimization
- Robust Optimization
- Dynamic Programming
Ciamac C. Moallemi
Donald Goldfarb
Garud Iyengar
Aharon Ben-Tal
Awi Federgruen
Stochastic Models
- Foundations of Stochastic Modeling
- Stochastic Modeling I
- Stochastic Modeling II
- Queueing Theory and Applications
- Probability Theory I
Assaf Zeevi
Ward Whitt
Karl Sigman
Karl Sigman
Philip E. Protter
Statistics and Data Science
- Introduction to Econometrics and Statistical Inference
- Statistical Learning and Operations
- Empirical Methods in MS/OM
- Machine Learning (PhD Workshop)
- Time Series Modeling
- Data Science Bootcamp
Fanyin Zheng
Assaf Zeevi
Marcelo Olivares
Martin Haugh, Laurent Charlin, Shlomo Hershkop
Irene Hueter
Data Science Institute, Columbia University
Topics in Operations Research and Managment Science
- Revenue Management and Dynamic Mechanism Design
- Machine Learning for Operations
- Economic Networks
- Economics and Optimization of Online Marketplaces
- Engineering Online Matching Markets
- Electronic Trading in Limit Order Book
Ilan Lobel
Gah-Yi Ban
Alireza Tahbaz-Salehi
Gabriel Weintraub
Yash Kanoria and Jay Sethuraman
Costis Maglaras
Economics and Finance
- Economic Theory I & II: Microeconomics
- Economic Theory III & IV: Game Theory and Contract Theory
- Corporate Finance
- Asset Management
- Capital Markets and Investments
- Quantitative Finance
- Global Economic Environment II
Geoffrey Heal
Paolo Siconolfi
Lawrence Glosten
Geert Bekaert
Lars Lochstoer
Achilles Venetoulias
Andreas Mueller