Useful resources 

Numerical analysis notebooks

A series of Jupyter notebooks I developed to illustrate Numerical Analysis concepts using Python.

Current and upcoming courses

Fall 2024 

Numerical Analysis (MAST 334 / MATH 354) 

Office hours: TBD

Mathematics of Data Science (STAT 497 / MAST 679 / MAST 881 DS)

Office hours: TBD

Winter 2025

Statistical Learning (STAT 380 H / ACTU 491 / MACF 491 / MAST 679 H) 

Past courses

Courses taught at Concordia

2023-24

13. Data Science Lab (MAST 387) - Winter 2024
12. Numerical Analysis (MAST 334) - Fall 2023

2022-23

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

2021-22 

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

2020-21

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

2019-20

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 

Minicourses 

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.

Courses taught at Simon Fraser University (2016-19)

2018-19

5. Introduction to Ordinary Differential Equations (MATH 310) - Summer 2019
4. Vector Calculus (MATH 252) - Spring 2019

2017-18

3. Algebra I: Linear Algebra (MATH 240) - Spring 2018
2. Applied Linear Algebra (MATH 232) - Fall 2017 (with Prof. L. Stacho)

2016-17

1. Applied Linear Algebra (MATH 232) - Spring 2017