Courses

PhD-level Courses:

• DSO 699: Bandit Algorithms and Reinforcement Learning

The course explores the theoretical foundations and cutting-edge methods for sequential decision-making.
Students will delve into the principles of exploration and exploitation through classical bandit algorithms
and advance to strategic exploration techniques in reinforcement learning, addressing dynamic optimization in uncertain environments.

• DSO 604: Modern Statistical Inference

Core course for PhD students in Statistics: A Special topic PhD level course to expose students to modern ideas in statistical inference with big data: bias, heterogeneity and fairness. Topics include: testing problems in high dimensions, multiple testing problems, conformal prediction, conditional randomization test, fairness via equitable coverage.

Undergraduate Courses:

• BUAD 311: Operations Management

Core course of undergraduate business major: Fundamentals of operations management. Skills needed to analyze, manage, and improve business processes. Topics include: process, capacity, waiting time, service, and inventory management, optimization, revenue optimization and dynamic pricing.

• BUAD 310: Applied Business Statistics

Core course of undergraduate business major: Statistical methods for business analysis; data exploration and description. Topics include: sampling distributions, estimation, hypothesis testing, simple and multiple regression, model building. Extensive computer applications.