⚡️ This schedule is subject to change depending on our collective progress this semester, so please treat this as a general guideline that is not set in stone. I will add assignments as we progress below, but you should generally expect to have both assigned materials and assignments each week.

Weekly Schedule

This overview gives a top level view of the topics for each of our meetings. You can either use the side navigation or click on a topic to jump to that section.

Tuesday topics (Discussions📚) Thursday Topics (Labs🔬)
1/21 - Introducing Computing in the Humanities 1/23 - Programming and Processing
1/28 - Processing data 1/30 - Making it Count
2/4 - Data and Databases 2/6 - Topics and Clustering
2/11 - Getting Data 2/13 - Web Scraping
2/18 - Collecting Infrastructures 2/20 - APIs
2/25 - Datasets and Data Cleaning 2/27 - Data Preprocessing, cleaning, etc
3/4 - Spaces of Culture 3/6 - Embeddings and Neural Networks
3/11 - Language Modelling [3/13 - class cancelled
3/25 Catch up and project feedback 3/27 - Prompts and Agents
Class Cancelled 4/3 - Images
4/8 - Networks 4/10 - Network Analysis at Scale)
4/15 - Geographic Visualization 4/17 - GIS)
[4/22 - Lecture from Xiaoning, no readings!) 4/24 - Lecture: Idea diffusion with embeddings: skim article, but not post necessary

Projects

Remember that due dates for these are flexible. Assignments have an automatic one week extension with no questions. After that, please reach out to the instructors with your concerns and a plan for completion, and points will not be deducted for late work.

Assignment Name Due Date Individual or Group
Counting words 2/11 Individual
Scraping and APIs 2/27 Individual
Final Proposal 2/27 Group
Embeddings and Neural Networks 3/24 Individual
Final Project Data Update 3/31 Group
LLMs and Networks 4/15 Individual
Final presentation 4/29 and 5/1 Group
Final report 5/11 Group

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