• EE 381J Probability and Stochastic Processes I (Prof. Gustavo de Veciana)
  • EE 381V Large Scale Optimization II (Prof. Constantine Caramanis)
  • EE 381V Online Learning (Prof. Sanjay Shakkottai)
  • CS 388R Randomized Algorithms (Prof. Eric Price)
  • M 383C Methods of Applied Mathematics I (Prof. Leszek Demkowicz)
  • M 383D Methods of Applied Mathematics II (Prof. Todd Arbogast)
  • M 387D Numerical Analysis: Differential Equations (Prof. Thomas Hughes)
  • M 383E Numerical Analysis: Linear Algebra (Prof. George Biros)
  • CSE 386M Functional Analysis in Theoretical Mechanics (Prof. Leszek Demkowicz)
  • CSE 382M Foundational Techniques of Machine Learning and Data Sciences (Prof. Rachel Ward)
  • CSE 397 Computational and Variational Methods for Inverse Problems (Prof. Omar Ghattas)
  • CSE 392 Parallel Algorithms in Scientific Computation (Prof. George Biros)
  • CSE 389C Introduction to Mathematical Modeling in Science and Engineering I (Prof. Robert Moser)
  • CSE 389D Introduction to Mathematical Modeling in Science and Engineering II (Prof. Feliciano Giustino)