Tentative Schedule (changes posted at the end)

Lecture will be held on Canvas. (videos will be available after the lecture).

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


This schedule is tentative and subject to change. If changes are necessary they will be announced in class and posted here.
[1] (c) Vamsikrishna Gopikrishna, University of Texas at Arlington.
[2] (c) Stuart Russell (Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig. ISBN: 978-0136042594)
[3] (c) Vassilis Athitsos, University of Texas at Arlington.
[4] (c) Martin Hagan (Neural Network Design. Martin T. Hagan, Howard B. Demuth, Mark H. Beale. ISBN: 0-9717321-0-8)

Schedule Changes