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 6/4 1, 2 1, 2 Course Details[1] and Overview[1]Agents[2]
2 6/6 3 3.1 - 3.4 Solving Problems by Search[2], Notes on Implementation[1]
3 6/11 3, 4 3.1 - 3.4, 3.5 - 3.6 Solving Problems by Search[2] (Contd.), Informed Search[2]
4 6/13 4, 6 3.5 - 3.6, 5 Informed Search[2](Contd), Game Playing[2]
5 6/18 6, 5 5, 6 Alpha - Beta Pruning[3], Non - Deterministic Games, Constraint Satisfaction Problems[2]
6 6/20 5, 7 6, 7 Constraint Satisfaction Problems[2](Contd),  Knowledge and Logic Reasoning[2]
7 6/25 7,8.1-8.3, 9.1.2, 9.2 7,8.1-8.3, 9.1.2, 9.2 Inference by Enumeration[2], FC/BC, First Order Logic
8 6/27 8.1-8.3, 9.1.2, 9.2, 11  8.1-8.3, 9.1.2, 9.2, 10 First Order Logic (Contd.), (Addl Material: Unification & FC/BC[2]), Planning[3], Planning[2]
9 7/2 11 10 Exam 1 Material Review, Planning (Contd.)
7/4 INDEPENDENCE DAY - NO CLASS
7/9 EXAM 1
10 7/11 11 10 Exam 1 Discussion, Planning (Contd.)
11 7/16 12, 13 11, 13 Conditional Planning and Replanning[3], Conditional Planning and Replanning[2], Probablity[2]
12 7/18 13 13 Probablity[2], Joint Probablity Distribution, Prior and Posterior Probablites[3]
13 7/23 14.1 - 14.4 14.1 - 14.4 Bayesian Networks[3], Bayesian Networks[2]
14 7/25 18.1-18.3 18.1-18.3 Learning[3], Learning[2]Decision Trees[3]
15 7/30 18.1-18.3 18.1-18.3, 20.3, 18.8.1 Practical Issues with Decision Trees[3], Bayesian Classifiers
16 8/1
20.3, 18.8.1 Nearest Neighbor Classifiers[3]
17 8/6 20.5 18.6.4, 18.7 Neural Networks[2], Neuron Architeture[1][4]Backpropogation Learning[3]
18 8/8 20.5 18.6.4, 18.7 Exam 2 Material Review, Backpropogation Learning, Final Q & A
8/13

EXAM 2


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)