Academic year 2024–2025

• Math 104 [Fall 2024]
  Applied Matrix Theory

• Stats 300C [Spring 2025]
  Theory of Statistics

Past courses at Stanford, 2009–

• Stats 319 [Spring 2014]
  Literature of Statistics

• Stats 300C [Spring 2011–2018, 2021-2024]
  Theory of Statistics

• Math 262 / CME 372 [Winter 2014, 2016, 2021]
  Applied Fourier Analysis and Elements of Modern Signal Processing

• Math 310 / CME 329 [Fall 2013]
  The The Top Ten Algorithms of the 20th Century

• Stats 318 [Spring 2012, 2020]
  Modern Markov Chains

• Math 301 [Winter 2011, 2013, 2015]
  Advanced Topics in Convex Optimization

• Stats 330 / CME 362 [Spring 2010]
  An Introduction to Compressive Sensing

• Math 104 [Fall 2009, Winter 2011, 2012, Fall 2019, Winter 2022, 2023, 2024]
  Applied Matrix Theory

Past courses at Caltech, 2000–2009

• ACM 104
  Matrix Theory

• ACM 106a
  Introductory Methods of Computational Mathematics

• ACM 113
  Introduction to Optimization

• ACM/EE 116
  Introduction to Probability Models with Applications

• ACM/ESE 118
  Methods in Applied Statistics and Data Analysis

• ACM 126ab
  Wavelets and Modern Signal Processing

• ACM 216
  Markov Chains, Discrete Stochastic Processes and Applications

• ACM 270
  Advanced Topics in Convex Optimization

• Math 2a
  Probability and Statistics