# Calendar

Course calendar.
LEC # | TOPICS | KEY DATES
--- | --- | ---
1 | Introduction and scope |
2 | Reasoning: goal trees and problem solving |
3 | Reasoning: goal trees and rule-based expert systems |
4 | Search: depth-first, hill climbing, beam | Problem set 0 due
5 | Search: optimal, branch and bound, A* |
6 | Search: games, minimax, and alpha-beta | Problem set 1 due
| Quiz 1 |
7 | Constraints: interpreting line drawings |
8 | Constraints: search, domain reduction |
9 | Constraints: visual object recognition | Problem set 2 due
10 | Introduction to learning, nearest neighbors |
11 | Learning: identification trees, disorder |
| Quiz 2 |
12 | Learning: neural nets, back propagation | Problem set 3 due
13 | Learning: genetic algorithms |
14 | Learning: sparse spaces, phonology |
15 | Learning: near misses, felicity conditions |
16 | Learning: support vector machines | Problem set 4 due
| Quiz 3 |
17 | Learning: boosting |
18 | Representations: classes, trajectories, transitions |
19 | Architectures: GPS, SOAR, Subsumption, Society of Mind |
20 | The AI business |
21 | Probabilistic inference I |
| Quiz 4 |
22 | Probabilistic inference II | Problem set 5 due
23 | Model merging, cross-modal coupling, course summary |