This is a tentative schedule of course topics and class periods, and it is subject to change.
Refer to Canvas for up-to-date details.

Wk Date Plan
1 08/25 Tue Introductions; What is AI?
08/27 Thu
2 09/01 Tue History of AI, Neural Networks
09/03 Thu
3 09/08 Tue History of text prediction; Markov Chains to LLMs
09/10 Thu
4 09/15 Tue Transformers
09/17 Thu
5 09/22 Tue
09/24 Thu
6 09/29 Tue Capabilities, Applications, & Effective Use
10/01 Thu
7 10/06 Tue Models and their properties
10/08 Thu
8 10/13 Tue Multimodal LLMs
10/15 Thu
9 10/20 Tue Effective Use; Project planning
10/22 Thu
10 10/27 Tue
10/29 Thu
11 11/03 Tue Limits & Failures
11/05 Thu
12 11/10 Tue Societal Impact: Issues and Concerns
11/12 Thu
13 11/17 Tue
11/19 Thu
14 11/24 Tue
11/26 Thu Thanksgiving Break
15 12/01 Tue Societal Impact: Reasons for Optimism
12/03 Thu
16 12/09 Wed 8:00-10:00am — Final exam period