Artificial Intelligence

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