L/no |
Date |
Chapters, 2nd Edition |
Chapters, 3rd Edition |
Topic |
1 |
7/9
|
1, 2 |
1, 2 |
Course
Details[1] and
Overview[1], Agents[2]
|
2 |
7/10
|
3 |
3.1 - 3.4 |
Solving
Problems by Search[2] |
3
|
7/11
|
4, 6
|
3.5 - 3.6, 5
|
Notes
on Implementation[1], Informed
Search[2], Game
Playing[2]
|
4 |
7/15
|
6 |
5 |
Alpha
- Beta Pruning[3], Non - Deterministic
Games
|
5 |
7/16
|
5 |
6
|
Constraint
Satisfaction Problems[2]
|
6 |
7/17
|
7 |
7 |
Knowledge
and Logic
Reasoning[2], Inference by
Enumeration
|
7 |
7/18
|
7 |
7 |
Forward and Backward
Chaining, Resolution |
8 |
7/22
|
8.1-8.3,
9.1.2, 9.2 |
8.1-8.3,
9.1.2, 9.2 |
First Order
Logic[3], Unification
& Inference in FOL[2] |
9 |
7/23
|
9.1.2, 9.2
|
9.1.2, 9.2
|
Unification & Inference in FOL
(Contd.), EXAM 1 REVIEW
|
|
7/24
|
|
|
EXAM
1
|
10 |
7/25
|
11 |
10 |
Exam 1 Discussion, Planning[3],
Planning[2] |
11 |
7/29
|
12 |
11 |
Conditional
Planning and Replanning[3], Conditional
Planning and Replanning[2] |
12 |
7/30
|
13 |
13 |
Probablity[2],
Joint Probablity Distribution, Prior
and Posterior
Probablites[3] |
13 |
7/31
|
14.1 - 14.4 |
14.1 - 14.4 |
Bayesian
Networks[3], Bayesian
Networks[2]
|
14 |
8/1
|
18.1-18.3 |
18.1-18.3 |
Learning[3],
Learning[2], Decision
Trees[3] |
15 |
8/5
|
18.1-18.3 |
18.1-18.3 |
Practical
Issues with Decision Trees[3] |
16
|
8/6
|
|
20.3 | Bayesian
Classifiers[3] |
17
|
8/7
|
|
18.8.1 | Probabilty
Estimations, Nearest
Neighbor
Classifiers[3] |
18 |
8/8
|
20.5 | 18.6.4, 18.7 | Neural
Networks[2], Neuron
Architeture[1][4], Backpropogation
Learning[3] |
|
8/12
|
|
|
EXAM 2
|