Schedule - CSE 4308 - 001 and CSE 5360 - 001

Lecture videos are available on Blackboard.

L/no Date Chapters, 2nd Edition Chapters, 3rd Edition Topic
1 01/17 1, 3 1, 3.1 - 3.4 Course Details[1] and Overview[1], Solving Problems by Search[2]
2 01/22 1, 3 1, 3.1 - 3.4 Solving Problems by Search[2] (Contd.), Notes on Implementation[1]
3 01/24 4 3.5 - 3.6 Informed Search[2]
4 01/29 2, 6 2, 5 Agents[2], Game Playing[2]
5 01/31 6 5 Game Playing (Contd.)
6 02/05 6 5 Alpha - Beta Pruning[3], Non - Deterministic Games
7 02/07 5 6
 Constraint Satisfaction Problems[2]
8 02/12 7 7 Exam 1 Review, Knowledge and Logic Reasoning[2]
02/14 EXAM 1
9 02/19 7 7 Exam 1 Discussion, Inference by Enumeration, FC/BC
10 02/21 7, 8.1-8.3, 9.1.2 7, 8.1-8.3, 9.1.2 FC/BC (Contd.), Resolution, First Order Logic[3]
11 02/26 8.1-8.3, 9.1.2, 9.2 8.1-8.3, 9.1.2, 9.2 First Order Logic (Contd.), (Addl Material: Unification & FC/BC[2])
12 02/28 11 10 Planning[3], Planning[2]
13 03/05 12 11 Conditional Planning and Replanning[3], Conditional Planning and Replanning[2]
14 03/07 13 13 Probablity[2]
03/12 SPRING BREAK
03/14 SPRING BREAK
15 03/19 13 13 Probablity[2]
03/21 Exam 2 Review, Joint Probablity Distribution
16 03/26 EXAM 2
17 03/28 13 13 Exam 2 Discussion, Prior and Posterior Probablites[3]
18 04/02 14.1 - 14.4 14.1 - 14.4 Bayesian Networks[3], Bayesian Networks[2]
19 04/04 18.1-18.3 18.1-18.3 Learning[3], Learning[2]
20 04/09 18.1-18.3 18.1-18.3 Decision Trees[3]
21 04/11 18.1-18.3 18.1-18.3 Practical Issues with Decision Trees[3]
22 04/16 20.3, 18.8.1 Bayesian Classifiers
23 04/18 20.3, 18.8.1 Nearest Neighbor Classifiers[3]
24 04/23 20.5 18.6.4, 18.7 Neural Networks[2], Neuron Architeture[1][4],  Backpropogation Learning[3]
25 04/25 20.5 18.6.4, 18.7 Exam 3 Review, Backpropogation Learning
04/30 EXAM 3
26 05/02 Exam 3 Discussion, Optional  Assignment Information, Final Q & A
05/07 FINALS WEEK
05/09 FINALS WEEK


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)