L/no	Date	Chapters, 2nd Edition	Chapters, 3rd Edition	Chapters, 4th Edition	Topic
1	1/19	1	1	1	Course Details[1] and Overview[1]
2	1/24	2, 3	2, 3.1 - 3.4	2, 3.1 - 3.4	Agents[2], Solving Problems by Search[2]
3	1/36	4	3.5 - 3.6	3.5 - 3.6	Informed Search[2]
4	1/31	4	3.5 - 3.6	3.5 - 3.6	Search (contd.), Notes on Implementation[1]
5	2/02	6	5	5	Game Playing[2], Alpha - Beta Pruning[3]
6	2/07	6, 5	5, 6	5, 6	Non - Deterministic Games, Constraint Satisfaction Problems[2]
7	2/09	5	6	6	CSP (contd.)
8	2/14	7	7	7	Knowledge and Logic Reasoning[2], Inference by Enumeration
	2/16				Exam 1 Review, Q & A
	2/21				EXAM 1
9	2/23	7	7	7	Forward and Backward Chaining, Resolution
10	2/28	8.1-8.3, 9.1, 9.2	8.1-8.3, 9.1, 9.2	8.1-8.3, 9.1, 9.2	First Order Logic[3], Unification & FC/BC[2]
11	3/02	11	10	11	Planning[3], Planning[2]
12	3/07	12	11	11	Conditional Planning and Replanning[3], Conditional Planning and Replanning[2]
13	3/09	13	13	12	Probablity[2]
	3/14				SPRING VACATION - NO CLASS
	3/16				SPRING VACATION - NO CLASS
14	3/21	13	13	12	Joint Probablity Distribution, Prior and Posterior Probablites[3]
15	3/23	14.1 - 14.4	14.1 - 14.4	13.1-13.4	Bayesian Networks[3], Bayesian Networks[2]
16	3/28	14.1 - 14.4	14.1 - 14.4	13.1-13.4	Bayesian Networks (Contd.)
	3/30				Exam 2 Review
	4/04				EXAM 2
17	4/06	18.1-18.3	18.1-18.3	19.1-19.3	Learning[3], Learning[2]
18	4/11	18.1-18.3	18.1-18.3	19.1-19.3	Decision Trees[3]
19	4/13	18.1-18.3	18.1-18.3	19.1-19.3	Practical Issues with Decision Trees[3]
20	4/18		20.3	20.3	Bayesian Classifiers[3]
21	4/20		20.3	20.3	Probabilty Estimations
22	4/25		18.8.1	19.7.1	Nearest Neighbor Classifiers[3]
23	4/27	20.5	18.6.4, 18.7	19.6.4, 21.1	Neural Networks[2], Neuron Architeture[1][4],  Backpropogation Learning[3]
	5/02				Exam 3 Review, Final Q & A
	5/04				STUDENT STUDY DAY - NO CLASS
	5/09				EXAM 3 - CSE 5360 004 (2:00 PM)

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)