Courses

Courses

2023W Term 2

  • Coding Theory

    Course Id: EECE 566
    Instructor: Lele Wang

  • Compressed Sensing

    Course Id: MATH 555
    Instructor: Yaniv Plan

2023W Term 1

  • Convex Analysis and Optimization

    Course Id: CPSC 536M
    Instructor: Michael Friedlander

  • Convex Optimization

    Course Id: EECE 571Z
    Instructor: Christos Thrampoulidis

  • Introduction to Randomized Algorithms

    Course Id: CPSC 436R
    Instructor: Nick Harvey

  • Machine Learning

    Course Id: CPSC 540
    Instructor: Mark Schmidt

  • Statistical Learning Theory

    Course Id: CPSC 532D
    Instructor: Danica Sutherland

2022W Term 1

  • Convex Optimization

    Course Id: EECE571Z
    Instructor: Christos Thrampoulidis

  • Differential Privacy

    Course Id: CPSC 532P
    Instructor: Mi Jung Park

  • Statistical Learning Theory

    Course Id: CPSC 532D
    Instructor: Danica Sutherland

  • Topics in Applied Mathematics: Tensor Decompositions

    Course Id: Math 605D
    Instructor: Elina Robeva

2022W Term 2