Lecture and Collab Schedule
Lecture videos will be uploaded to mediaspace by 13:00 on the dates specified. Readings and sample problems are from Russell and Norvig unless specified.
| Date | Topics | (R)eadings & (P)roblems |
Assignment Due |
|---|---|---|---|
| M 1/25 | Intro (PPT, PDF) | R1.1,2.3 (P2.3) | |
| W 1/27 | Search (PPT, PDF) | R3.1,3(P3.1-3,8,10-13) | |
| M 2/1 | A* (PPT, PDF) | R3.4.1-3(P3.14-16) | |
| W 2/3 | Heuristics (PPT, PDF) | R3.5.1-2,3.6(P3.21,23,26-29,31) | |
| MWF | Collab 1 | ||
| M 2/8 | Probability (PPT, PDF) | R12.1-5 | |
| W 2/10 | Naive Bayes (PPT, PDF) | R12.6 | MP1 |
| Wed, Fri | Collab 2 | ||
| M 2/15 | Classifiers (PPT, PDF) | R19.2,19.6 | |
| Mon | Collab 2 | ||
| W 2/17 | No Lecture, No Collab | ||
| Fri | Collab 3 | ||
| M 2/22 | Perceptron (PPT, PDF) | R21.1,3-5 | |
| W 2/24 | Logistic Regression (PPT, PDF) | JM5 | MP2 |
| Mon, Wed | Collab 3 | ||
| Fri | Collab 4 | ||
| M 3/1 | Back-Propagation (PPT, PDF) | JM7.1-4 | |
| W 3/3 | Exam 1 Review (PPT, PDF) | ||
| Mon, Wed | Collab 4 | ||
| F 3/5 | Exam 1 | Exam 1 | |
| M 3/8 | Autograd (PPT, PDF) | Pytorch tutorial | |
| W 3/10 | Bayes Nets (PPT, PDF) | R13.1-5 | |
| MWF | Collab 5 | ||
| M 3/15 | Bayes Nets (PPT, PDF) | Charniak Bayes Nets | |
| W 3/17 | HMMs (PPT, PDF) | R14.1-3 | MP3 |
| Wed, Fri | Collab 6 | ||
| M 3/22 | Viterbi Algorithm (PPT, PDF) | JM8.1-4 | |
| Mon | Collab 6 | ||
| W 3/24 | No Lecture, No Collab | ||
| Fri | Collab 7 | ||
| M 3/29 | Vector semantics (PPT, PDF) | JM6 | |
| W 3/31 | Minimax Games (PPT, PDF) | R5.1-5 | MP4 (HMM) |
| Mon, Wed | Collab 7 | ||
| Fri | Collab 8 | ||
| M 4/5 | Alpha-Beta Search (PPT, PDF) | ||
| W 4/7 | Exam 2 Review (PPT, PDF) | ||
| Mon, Wed | Collab 8 | ||
| F 4/9 | Exam 2 | Exam 2 | |
| M 4/12 | Game Theory (PPT, PDF) | R18.1-3 | |
| W 4/14 | Markov Decision Processes (PPT, PDF) | R17.1-3 | |
| MWF | Collab 9 | ||
| M 4/19 | Model-Based RL (PPT, PDF) | R22.1-7 | MP5 (games) |
| W 4/21 | Model-Free RL (PPT, PDF) | ||
| MWF | Collab 10 | ||
| M 4/26 | AI Ethics (PPT, PDF) | R26.3 | |
| W 4/28 | Computer Vision (PPT, PDF) | R25.4 | MP6 (RL) |
| MWF | Collab 11 | ||
| M 5/3 | Exam 3 Review (PPT, PDF) | ||
| F 5/7 | Final Exam | 13:30-16:30 | Final Exam |
| F 5/7 or T 5/11 | Conflict Final Exam | 8:00-11:00 | Conflict Final |