CS 540 - Introduction to Artificial Intelligence Section 1 Fall 2019

CS 540 Schedule

Week	Starting	Topics	Readings
1	9/5	Introduction	Chapters 1 and 2
2	9/10	Uninformed search	3.1 - 3.4
3	9/17	Informed (heuristic) search	3.5, 3.6
4	9/24	No Class 9/26. Local search: Hill-climbing, simulated annealing	4.1
5	10/1	Game playing, unsupervised machine learning	5.1 - 5.3, 5.5, 18.1, ML introduction
6	10/8	Supervised machine learning, k-nearest-neighbors	18.2, 18.8.1
7	10/15	Decision trees, genetic algorithms, constraint satisfaction	18.3, 18.4, 4.1.4, 6.1 - 6.4
8	10/22	Midterm exam October 24, 7:15 - 9:15 p.m.
9	10/29	Neural networks	18.6.3, 18.6.4, 18.7
10	11/5	Deep learning, Support Vector Machines	Deep learning paper, 18.9, SVM paper
11	11/12	Probabilistic reasoning: Uncertainty	13
12	11/19	Probabilistic reasoning: Bayesian networks	14.1, 14.2, 14.4, Bayesian Network paper
13	11/26	No Class 11/28. Speech recognition	15.1 - 15.3, 23.5, HMM tutorial
14	12/3	Computer vision	18.10