"Everything. Contained in this classroom
is a microcosm of human existence
assembled for you to query and examine and ponder"
From the poem "Did I Miss Anything?" by Tom Wayman
A series of Jupyter notebooks I developed to illustrate Numerical Analysis concepts using Python.
Currently on sabbatical leave.
16. Statistical Learning (STAT 380 H / ACTU 491 / MACF 491 / MAST 679 H) - Winter 2025
15. Numerical Analysis (MAST 334 / MATH 354) - Fall 2024
14. Mathematics of Data Science (STAT 497 / MAST 679 / MAST 881 DS) - Fall 2024
13. Data Science Lab (MAST 387) - Winter 2024
12. Numerical Analysis (MAST 334) - Fall 2023
11. Statistical Learning (STAT 380 H / ACTU 491 / MACF 491 / MAST 679 H) - Winter 2023
10. Numerical Analysis II (MATH 494 / MAST 661 / MAST 881 II) - Winter 2023
9. Statistical Learning (STAT 380 / ACTU 491 / MACF 491 / MAST 679 H) - Winter 2022
8. High-dimensional Probability with Applications to Data Science (STAT 497 / MAST 679 / MAST 881 P) - Winter 2022
7. Numerical Analysis (MAST 334 / MATH 354) - Fall 2021
6. Topics in Applied Mathematics: Sparsity and Compressed Sensing (MAST 680 / MAST 837 / MATH 494) - Winter 2021
5. Introduction to Statistical Programming (STAT 280) - Fall 2020
4. Numerical Analysis (MAST 334 / MATH 354) - Fall 2020
3. Applied Advanced Calculus (ENGR 233 R ) - Winter 2020
2. Applied Advanced Calculus (ENGR 233 U) - Winter 2020
1. Numerical Analysis (MAST 334 / MATH 354) - Fall 2019
1. An invitation to high-dimensional approximation: from sparse polynomials to deep learning, 2022 CMS Summer Meeting. St. John's, NL, Canada. June 3, 2022.
5. Introduction to Ordinary Differential Equations (MATH 310) - Summer 2019
4. Vector Calculus (MATH 252) - Spring 2019
3. Algebra I: Linear Algebra (MATH 240) - Spring 2018
2. Applied Linear Algebra (MATH 232) - Fall 2017 (with Prof. L. Stacho)
1. Applied Linear Algebra (MATH 232) - Spring 2017