On-Going Event! Note: this event is currently underway.

Coding for the Humanities: Multiple Integrated Sessions

November 5, 2024 — December 17, 2024
Time: 9:00 AM — 12:00 PM

Location:252A MacOdrum Library
Audience:Current Students, Faculty

This series of workshops introduces humanities scholars to coding in the humanities. The suite of workshops covers the following topics:

  1. Computing basics, including using the command line, Virtual Studio Code, and Git.
  2. Python I: Fundamentals
  3. Python II: Advanced fundamentals
  4. Python III: Libraries
  5. Case study: Python for literature reviews
  6. Troubleshooting: Errors and searches for code

Each of these workshops introduces a core topic for those interested in computational methods for the humanities and provides opportunities to apply the ideas and techniques discussed.

Learning outcomes:

  1. Setup Windows or Mac system to meet workshop technical requirements.
  2. Write some basic commands to access files from their desktop/laptop directory.
  3. Identify the benefits of using Python for certain humanistic research problems.
  4. Import a CSV from Omni (Library discovery tool) into Python and then use pandas and NLTK to analyze the data in the CSV file.

The workshops will run on the following dates and times. These sessions are in person only.

  • Room ML252A
    • Tuesday, November 5, 9 a.m. to 12 p.m.
    • Tuesday, November 12, 9 a.m. to 12 p.m.
    • Tuesday, November 19, 9 a.m. to 12 p.m.
    • Tuesday, November 26, 9 a.m. to 12 p.m.
    • Tuesday, December 3, 9 a.m. to 12 p.m.
    • Tuesday, December 10, 9 a.m. to 12 p.m.
    • Tuesday, December 17, 9 a.m. to 12 p.m.

Please note: Time spent in the November workshops above can count toward paid pedagogical training hours for those working as TAs this term. Because the December sessions are taking place after November 30, they cannot count toward paid pedagogical training hours.

REGISTER FOR ALL WORKSHOPS BELOW (registration per workshop not required)

Registration for this workshop is full. If you would like to be placed on the wait list please email david.lafferty@carleton.ca