Fall 1998
Primary Text: Artificial Intelligence: A Modern Approach, by Russell and Norvig.
|
|
|
|
| 1 (Sep 3) | Background, Introduction |
1
|
| 2 (Sep 8, 10) | Introduction, Intelligent Agents |
1, 2
|
| 3 (Sep 15, 17) | Uninformed Search |
3
|
| 4 (Sep 22, 24) | Informed Search |
4
|
| 5 (Sep 29, Oct 1) | Game Playing, Logic |
5, 6, 7
|
| 6 (Oct 6, 8) | Resolution, Production Systems |
9, 10
|
| 7 (Oct 13, 15) | Production Systems, Planning |
10, 11
|
| 8 (Oct 20, 22) | Midterm, Uncertainty and Probability |
15
|
| 9 (Oct 27, 29) | Bayesian Inference, Decision Theory |
15, 16
|
| 10 (Nov 3, 5) | Machine Learning, Instance-based Learning |
18.1, 18.2
|
| 11 (Nov 10, 12) | Naive Bayes, Tree and Rule Induction |
19.6, 18.3
|
| 12 (Nov 17, 19) | Neural Networks, Genetic Algorithms |
19, 20.8
|
| 13 (Nov 24) | Machine Vision and Perception |
24
|
| 14 (Dec 1, 3) | Machine Vision and Perception |
24
|
| 15 (Dec 8) | Philosophical Issues |
26
|
| Mon, Dec 21, 4-6pm | Final Exam |
|
|
|