Teaching

I teach courses in theoretical computer science and artificial intelligence.

Qualifications:

• Kaufman Teaching Certificate Program (KTCP), MIT Teaching & Learning Lab, June 2016.

• Improv workshop for KTCP alumni, October 2017 (a related article by Jake Livengood).

• Certificate for University Teaching (CUT), University of Waterloo's Center for Teaching Excellence, September 2014.

Future courses:

• LE/EECS3101 - Design and Analysis of Algorithms (Fall 2025)

• LE/EECS 4101 - GS/EECS 5101 - Advanced Data Structures (Winter 2026)

Past teaching:

• EECS 5326 - Artificial Intelligence (Winter 2025)

• EECS 4171 - Advanced Topics in Algorithms(Fall 2024)

• EECS 6111 - Advanced Algorithm Design and Analysis (Fall 2024)

• EECS 4401/5326 - Artificial Intelligence (Winter 2024, Summer 2024)

• LE/EECS3101 A - Design and Analysis of Algorithms (Fall 2023)

• LE/EECS 4101 - GS/EECS 5101 - Advanced Data Structures (Winter 2023)

• LE/EECS 3101 B - Design and Analysis of Algorithms (Fall 2022)

• Comp 4060/7720 (U. Manitoba) - Topics in Algorithms - Graph Algorithms

• Comp 4060/7720 (U. Manitoba) - Topics in Algorithms - Online Algorithms (Fall 2017, Fall 2018, Fall 2019, Fall 2020)

• COMP 4420 (U. Manitoba) - Advanced Design and Analysis of Algorithms (Winter 2020, Winter 2022)

• COMP 3170 (U. Manitoba) - Analysis of Algorithms (Winter 2018, Winter 2019, Winter 2020)

• COMP 2140 (U. Manitoba) - Data Structures (Winter 2019, Fall 2020, Fall 2021)

• CS 240 (U. Waterloo) - Data Structures and Data Management (Winter 2014, Spring 2015)