Teaching

At UC Berkeley:

• INDENG 242A: Machine Learning and Data Analytics I (Fall 2024)

     IEOR Master of Analytics core course

• INDENG 164: Introduction to Optimization Modeling (Spring 2024, Spring 2025) [Syllabus]

     IEOR Undergraduate elective course

• INDENG 290: Stochastic Optimization for Machine Learning (Spring 2024, Spring 2025) [Syllabus]

     IEOR Graduate elective course

At University of Minnesota:

• IE3521: Statistics, Quality and Reliability (Spring 2020, Fall 2021, Spring 2022, Spring 2023)

      ISyE undergraduate core course

• IE 5533: Operations Research for Data Science (Fall 2022)

Data science undergraduate core course

• IE8534: Special Topics: Modern Nonconvex and Nondifferentiable Optimization (Spring 2021) [Syllabus]

PhD elective course

     This course is based on the monograph  Modern Nonconvex Nondifferentiable Optimization by Ying Cui and Jong-Shi Pang [book link]