Lecture Notes
2020 Winter - CO 331: Coding Theory (chapter based)
2020 Winter - CO 353: Computational Discrete Optimization (chapter based)
2019 Winter - AMATH 353: Partial Differential Equations 1 (chapter based)
2019 Winter - CO 255: Introduction to Optimization (Advanced Level) (chapter based)
2018 Spring - PMATH 450/650: Lebesgue Integration and Fourier Analysis
2018 Winter - CS 371: Introduction to Computational Mathematics
2017 Fall - STAT 240: Probability (Advanced Level)