L/no |
Date |
Chapters,
2nd Edition |
Chapters,
3rd Edition |
Topic |
1 |
1/19
|
1 |
1 |
Course
Details[1] and
Overview[1] |
2 |
1/21
|
2, 3 |
2, 3.1 -
3.4 |
Agents[2],
Solving
Problems by Search[2] |
3 |
1/26
|
4 |
3.5 - 3.6 |
Informed
Search[2] |
4 |
1/28
|
6 |
5 |
Search
(contd.), Notes
on Implementation[1], Game
Playing[2] |
5 |
2/02
|
6 |
5 |
Alpha
- Beta Pruning[3], Non - Deterministic
Games |
6 |
2/04
|
5 |
6
|
Constraint
Satisfaction Problems[2] |
7 |
2/09
|
5 |
6 |
CSP
(contd.) |
8 |
2/11
|
7 |
7 |
Knowledge
and Logic
Reasoning[2], Inference by Enumeration |
9 |
2/16
|
7 |
7 |
Forward
and Backward
Chaining, Resolution |
|
2/18
|
|
|
EXAM 1
Review
|
|
2/23
|
|
|
EXAM 1
|
10 |
2/25
|
8.1-8.3,
9.1.2, 9.2 |
8.1-8.3,
9.1.2, 9.2 |
First
Order
Logic[3], Unification
& FC/BC[2] |
11 |
3/02
|
11 |
10 |
Planning[3],
Planning[2]
|
12 |
3/04
|
12 |
11 |
Conditional
Planning and Replanning[3], Conditional
Planning and Replanning[2] |
13 |
3/09
|
13 |
13 |
Probablity[2] |
14 |
3/11
|
13 |
13 |
Joint
Probablity Distribution |
|
3/16
|
|
|
SPRING VACATION - NO CLASS
|
|
3/18
|
|
|
SPRING VACATION - NO CLASS
|
15 |
3/23
|
13 |
13 |
Prior
and Posterior
Probablites[3] |
16 |
3/25
|
14.1 -
14.4 |
14.1 -
14.4 |
Bayesian
Networks[3], Bayesian
Networks[2] |
17 |
3/30
|
14.1 -
14.4 |
14.1
-14.4 |
Bayesian
Networks (Contd.) |
|
4/01
|
|
|
EXAM 2
Review
|
|
4/06
|
|
|
EXAM 2
|
18 |
4/08
|
18.1-18.3 |
18.1-18.3 |
Learning[3],
Learning[2] |
19 |
4/13
|
18.1-18.3 |
18.1-18.3 |
Decision
Trees[3] |
20 |
4/15
|
18.1-18.3 |
18.1-18.3 |
Practical
Issues with Decision Trees[3] |
21 |
4/20
|
|
20.3 |
Bayesian
Classifiers[3] |
22
|
4/22
|
|
18.8.1 |
Probabilty
Estimations, Nearest
Neighbor
Classifiers[3] |
23
|
4/27
|
20.5 |
18.6.4,
18.7 |
Neural
Networks[2], Neuron
Architeture[1][4], Backpropogation
Learning[3] |
24
|
4/29
|
20.5 |
18.6.4,
18.7 |
Backpropogation
Learning[3] (Contd.) |
|
5/04
|
|
|
EXAM 3
Review
|
|
5/06, 5/11
|
|
|
EXAM 3
|