Course Schedule
This is a tentative schedule, subject to change depending on the class pace, student learning needs, and/or unforeseen circumstances, such as power outage because of snowstorms. Check the course announcements and emails in Canvas for up-to-date information.
| Week # | StartDate | Presentations, class discussion, topics of interest, and project work | Due next week |
|---|---|---|---|
| 1 | Jan 23 | Getting ready. | RN1 Draft |
| 2 | Jan 31 | Supervised learning. Image classification | RN1 Final, Lab1 |
| 3 | Feb 6 | Search and optimization (1) | RN2 Draft, Lab2 |
| 4 | Feb 13 | Neural AI: ML and DL | RN2 Final, Lab3 |
| 5 | Feb 20 | Symbolic AI: Constraint Satisfaction | RN3 Draft, Lab4 |
| 6 | Feb 27 | Generative AI: Transformers | RN3 Final, Lab5 |
| 7 | Mar 5 | Bia in AI | RN4 Draft |
| 8 | Mar 12 | Reinforcement learning | RN4 Final, Lab6 |
| Spring Break | Mar 18-22 | ||
| 9 | Mar 26 | RL: Q-learning. | Lab6 |
| 11 | Apr 2 | Project proposal presentations | |
| 12 | Apr 9 | Project status report | |
| 13 | Apr 16 | Project status report | |
| 14 | Apr 23 | Project status report | |
| 15 | Apr 30 | First Presentation | Codebase, Final report |
| Reading day, May 7 | |||
| 16 | May 14 | Presentations and Demos |