Teaching
At the University of Toronto St. George campus, I specialize in teaching upper-year underraduate courses on Artificial Intelligence and Machine Learning. My teaching spans multiple universities. I've previously taught Introduction to C Programming, Logic, and Discrete Mathematics at the University of Waterloo and at the University of British Columbia. Below you will find my complete teaching history in reverse chronological order.
Courses taught at the University of Toronto:
- CSC 311. Introduction to Machine Learning. Winter 2025
- CSC 413. Neural Networks and Deep Learning. Winter 2025
- CSC 384. Introduction to Artificial Intelligence. Fall 2024
- CSC 311. Introduction to Machine Learning. Winter 2024
- CSC 384. Introduction to Artificial Intelligence. Fall 2023
- CSC 384. Introduction to Artificial Intelligence. Winter 2023
- CSC 384. Introduction to Artificial Intelligence. Fall 2022
- CSC 311. Introduction to Machine Learning. Fall 2022
Courses taught at the University of Waterloo:
- CS 486/686. Introduction to Artificial Intelligence. Fall 2021
- CS 486/686. Introduction to Artificial Intelligence. Spring 2021
- CS 486/686. Introduction to Artificial Intelligence. Winter 2021
- CS 486/686. Introduction to Artificial Intelligence. Fall 2020
- CS 486/686. Introduction to Artificial Intelligence. Spring 2020
- CS 245. Logic and Computation. Fall 2019
- CS 486/686. Introduction to Artificial Intelligence. Spring 2019
- CS 136. Elementary Algorithm Design and Data Abstraction. Winter 2019
- CS 486/686. Introduction to Artificial Intelligence. Fall 2018
- CS 245. Logic and Computation. Spring 2018
- CS 136. Elementary Algorithm Design and Data Abstraction. Winter 2018
- CS 245. Logic and Computation. Fall 2017
Courses at the University of British Columbia:
- CPSC 121. Models of Computation. Spring 2017
- CPSC 121. Models of Computation. Fall 2016
- CPSC 121. Models of Computation. Spring 2017