Courses

University of California, Berkeley

• Fall 2021

  • COMPSCI 294-182 Machine Learning and Economics, by Michael Jordan and Nika Haghtalab

• Spring 2021

  • ELENG C291E Hybrid Systems and Intelligent Control, by Claire J. Tomlin

• Fall 2020

  • ELENG 290 Advanced Topics in Electrical Engineering, by Yi Ma

• Spring 2019

  • STATS 205B Probability Theory, by Jim Pitman

  • STATS 210B Theoretical Statistics, by Michael Jordan

• Fall 2018

  • MATH 228A Numerical Solutions of Differential Equations, by Lin Lin

  • ELENG 227B Convex Optimization, by Laurent El Ghaoui and Somayeh Sojoudi

• Spring 2018

  • MATH 222B Partial Differential Equation, by Lawrence Craig Evans

  • STATS 206B Advanced Topics in Probablity and Stochastic Processes, by Jim Pitman

  • INDENG 290 Special Topics in Industrial Engineering and Operation Research, by Paul Grigas

• Fall 2017

  • MATH 222A Partial Differential Equation, by Lawrence Craig Evans

  • STATS 205A Probability Theory, by Nike Sun

  • STATS 210A Theoretical Statistics, by Will Fithian

• Spring 2017

  • INDENG 223B Financial Engineering Systems II, by Xin Guo

  • ELENG 227C Convex Optimization and Approximation, by Martin Wainwright

  • INDENG 265 Learning and Optimization, by Anil Aswani

  • INDENG 263B Applied Stochastic Process II, by Xin Guo

  • INDENG 262B Mathematical Programming II, by Shmuel S. Oren

• Fall 2016

  • INDENG 250 Introduction to Production Planning and Logistics Models, by Phil Kaminsky

  • INDENG 263A Applied Stochastic Process I, by Gideon Weiss

  • INDENG 262A Mathematical Programming I, by Alper Atamturk