Lectures

The course covers the following topics, with corresponding lecture materials available in the lectures folder. Please refer to the syllabus for additional suggested readings on each topic. Links will be added as the materials are posted.

Module 01: Introduction to Python, Jupyter, and GitHub

Wednesday, August 28:

Suggested references:

Monday, September 02: Labour Day (no class)

Wednesday, September 04:

Suggested references:

Module 02: Introduction to the Command Line Interface and Version Control

Monday September 09:

Suggested references:

Wednesday, September 11:

Suggested references:

Monday, September 16:

Suggested references:

Wednesday, September 18:

Suggested references:

Monday, September 23:

Module 03: Literate Programming with Markdown, Quarto, and Jupyter

Wednesday, September 25:

Suggested references:

Monday, September 30:

Suggested references:

Wednesday, October 02:

  • Lecture 10: Quiz 02: Literate Programming (6%).
  • Assignment 05: Problem Set 05.
  • Assignment 04 due (5%).

Module 04: AI-Assisted Programming

Monday, October 07:

Suggested references:

Wednesday, October 09:

Suggested references:

Module 05: Data Manipulation with Python

Monday, October 14: Fall Break (no class)

Wednesday, October 16:

Suggested references:

Monday, October 21:

Wednesday, October 23:

Suggested references:

Monday, October 28:

  • Lecture 16: Quiz 03: Python for Data Analysis (6%).

Module 06: Introduction to SQL Databases

Wednesday, October 30:

Suggested references:

Monday, November 04:

Wednesday, November 06:

Suggested references:

Monday, November 11:

  • Lecture 20: Quiz 04: SQL Databases (6%).

Module 07: Parallel Computing

Wednesday, November 13:

Suggested references:

Monday, November 18:

Suggested references:

Module 08: Containers and Reproducibility

Wednesday, November 20:

Suggested references:

Monday, November 25:

  • Lecture 24: Docker for Data Science.

Wednesday, November 27: Thanksgiving Break (no class)

Monday, December 02:

  • Lecture 25: Quiz 05: Dask, Docker and Containers (6%).

Wednesday, December 04:

  • Lecture 26: Review and Final Project Discussion.

Monday, December 09:

  • Final Project due (20%).
Back to top