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)