Class
|
Date
|
Topic / Link to Slides
|
Reading
|
Homework
|
Comments/ Handouts
|
| 1
|
8/27
|
Intro
|
|
|
|
| 2
|
9/1
|
Agents
|
|
|
|
| 3
|
9/3
|
Search, Part 1
|
|
|
|
|
4
|
9/9
|
Search, Part 2
|
Make sure you understand greedy search, beam search, and the other searches mentioned.
|
HW1
|
|
| 5 | 9/11 | Search continued | | | |
|
6
|
9/16
|
Local Search |
|
|
|
|
7
|
9/18
|
Constraints |
|
|
|
|
8
|
9/23
|
Constraints |
|
HW1 Due |
|
|
9
|
9/25
|
Game Playing |
|
|
|
10
|
9/30
|
Class Cancelled |
|
|
|
|
11
|
10/2
|
Probability |
|
|
|
|
12
|
10/7
|
Bayes Nets |
|
Project 1 Out |
|
|
13
|
10/9
|
Multi-Agent Systems |
|
HW 2 Out |
|
|
14
|
10/14
|
Max is sick AGAIN |
|
|
|
|
15
|
10/16
|
Machine Learning I: Decision Trees |
|
|
|
|
16
|
10/21
|
Assorted Machine Learning Algorithms: K nearest nbrs, clustering, Naive Bayes, Evaluation Methods (K-fold cross valadation, Precision, Recall) |
|
|
|
|
17
|
10/23
|
Review |
|
HW 2 Due |
|
|
18
|
10/28
|
Knowledge-based agents; propositional logic |
|
|
|
|
19
|
10/30
|
First Order Logic |
|
|
|
|
20
|
11/04
|
Midterm |
|
HW 3 Out |
|
|
21
|
11/06
|
Logical Inference
|
|
|
|
|
22
|
11/11
|
Logical Inference |
|
|
|
|
23
|
11/13
|
Reinforcement Learning |
|
HW4 Out, Proj 2 Out, Proj 3 Out |
|
|
24
|
11/18
|
Lost to the plague |
|
HW3 Due |
|
|
25
|
11/20
|
Reinforcement Learning |
|
|
|
26
|
11/25
|
Presentations |
|
|
|
27
|
12/2
|
Presentations |
|
|
|
28
|
12/4
|
|
|
HW4 Due |
|
29
|
12/6
|
Review |
|
Project 2 Due on (12/10) |
|