2025W TERM 1

• Convex Analysis and Optimization

  Course Id: CPSC 536M
  Instructor: Michael Friedlander

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• Randomized Algorithms

  Course Id: CPSC 536N
  Instructor: Nick Harvey

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• Statistical Learning Theory

  Course Id: CPSC 532D
  Instructor: Danica Sutherland

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• Synthetic Data Generation in the era of Generative AI

  Course Id: CPSC 532P
  Instructor: Mi Jung Park

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2022W Term 1

• Topics in Applied Mathematics: Tensor Decompositions

  Course Id: Math 605D
  Instructor: Elina Robeva

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2023W Term 1

2022W Term 2

• Advanced Machine Learning

  Course Id: CPSC 440/540
  Instructor: Danica Sutherland

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• Computational Optimization

  Course Id: CPSC 406
  Instructor: Michael Friedlander

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• Introduction to Randomized Algorithms

  Course Id: CPSC 436R
  Instructor: Nick Harvey

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• Numerical optimization for ML

  Course Id: CPSC 5XX-S22
  Instructor: Mark Schmidt

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