| Week | Monday Lecture | Wednesday Lecture | Deadlines/Activities |
|---|---|---|---|
| 1: January 5th | Introduction to Text Analysis and Tokenization Methods | Text Classification Methods | Individual office hours with TAs + instructor |
| 2: January 12th | Embedding Methods and Neural Network Models | Transformer Models and Decoding for Large Language Models | Assignment 1 due Monday noon. Individual office hours with TAs + instructor |
| 3: January 19th | University Holiday (no lecture) | Topics in Large Language Models | Assignment 2 + Project Teams due Monday noon. Individual office hours with TAs + instructor |
| 4: January 26th | Advanced Topics | Advanced Topics | Project Proposal due Monday noon. Project feedback (later in the week) via team meeting with TA | 5: February 2nd | Office hours with instructor (no lecture) | Office hours with instructor (no lecture) | Written project update + team meeting with TA |
| 6: February 9th | Office hours with instructor (no lecture) | Office hours with instructor (no lecture) | Written project update + team meeting with TA |
| 7: February 16th | University Holiday (no office hours or lecture) | Short lecture to discuss Presentations and Intermediate Reports | Written project update + team meeting with TA |
| 8: February 23rd | Project Presentations by each team | Project Presentations by each team | Intermediate Progress Report for each team + team meeting with TA |
| 9: March 2nd | Office hours with instructor (no lecture) | Office hours with instructor (no lecture) | Written project update + team meeting with TA |
| 10: March 9th | Office hours with instructor (no lecture) | Short lecture to discuss Final Reports | Written project update + team meeting with TA |
| 11: March 16th (finals week) | Final Report from each Team due Monday |