Teaching

Courses

  1. Algorithms. Monsoon 2022.

  2. Topics in the study of Markov chains. Winter 2022.

  3. Polynomials and applications. Winter 2022.

  4. Machine Learning for Practice. Monsoon 2021.

  5. Toolkit for Theoretical Computer Science. Winter 2021.

  6. Markov chains and random walks. Winter 2020.

  7. Probability and Statistics in Computing. Monsoon 2019.

  8. Toolkit for Theoretical Computer Science. Monsoon 2018.

  9. Numerical Algorithms. Winter 2018.

  10. Analysis of Markov chains. Monsoon 2017.

Other teaching activities

  1. Lectures in Probability and Statistics (LPS) XV. December 2022.

  2. Polynomials reading group. July 2022.