| # |
Date
| Description (links
to slides)
| Reading (in Russell-Norvig)
| Handouts
|
| 1
| 6/24/09
| Introduction to AI /
Agents
and Environments
| Section 1 / 2
|
Administrivia;
Survey;
HW #1
|
| 2
| 6/29/09 |
Introduction to Search
problems
/ Blind
Search
| Section 3.1-3.2 / 3.3-3.5
|
None
|
| 3
| 7/1/09
| Heuristic Search Algorithms
| Section 4.1 / 4.2
|
HW #2
|
| 4
| 7/6/09
| The A* algorithm / Local Search and Optimization
| Section 4.1 / 4.3-4.6
|
HW 1 solutions (CW)
|
| 5
| 7/8/09
| Constraint Satisfaction
| Section 5
|
HW #3
|
| 6
| 7/13/09
| Action Planning
| Section 11
|
HW 2 solutions (CW)
|
| 7
| 7/15/09
| What the TA does / Midterm Review
| None
|
HW #4
|
| 8
| 7/20/09
|
Adversarial Search / Alpha-Beta Pruning
| Section 6
|
HW 3 solutions (CW)
|
| 9
| 7/22/09
|
Introduction to Uncertainty / Non-deterministic Uncertainty
| Section 13 / 12.3-12.5
|
HW #5
|
| 10
| 7/27/09
| Deciding under Uncertainty / Bayes Nets
| Section 17 / 14
|
HW 4 solutions (CW)
|
| 11
| 7/29/09
| Game Theory / Multiple Agents
| Section 6 / 17.6-17.8
|
HW #6
|
| 12
| 8/3/09
| Inductive Learning / Statistical Learning
| Section 18 / 20
|
HW 5 solutions (CW)
|
| 13
| 8/5/09
| Motion Planning
| Section 25.4
|
None
|
| 14
| 8/10/09
| TBD
| TBD
|
HW 6 solutions (CW)
|
| 15
| 8/12/09
| Course Review
| Section 26
| None
|