Schedule and Slides

L/no	Date	Chapters, 2nd Edition	Chapters, 3rd Edition	Topic
1	08/26	1	1	Course Details^[1] and Overview^[1]
2	08/31	2, 3	2, 3.1 - 3.4	Agents^[2], Solving Problems by Search^[2]
3	09/02	4	3.5 - 3.6	Informed Search^[2]
	09/07			LABOR DAY - NO CLASS
4	09/09	6	5	Search (contd.), Notes on Implementation^[1], Game Playing^[2]
5	09/14	6	5	Alpha - Beta Pruning^[3], Non - Deterministic Games
6	09/16	5	6	Constraint Satisfaction Problems^[2]
7	09/21	5	6	CSP (contd.)
	09/23			Exam 1 Review
	09/28			EXAM 1
8	09/30	7	7	Knowledge and Logic Reasoning^[2], Inference by Enumeration
9	10/05	7	7	Forward and Backward Chaining, Resolution
10	10/07	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	10/12	11	10	Planning^[3], Planning^[2]
12	10/14	12	11	Conditional Planning and Replanning^[3], Conditional Planning and Replanning^[2]
13	10/19	13	13	Probablity^[2]
14	10/21	13	13	Joint Probablity Distribution
15	10/26	13	13	Prior and Posterior Probablites^[3]
	10/28			Exan 2 Review
	11/02			EXAM 2
16	11/04	14.1 - 14.4	14.1 - 14.4	Exam 2 Discussion, Bayesian Networks^[3], Bayesian Networks^[2]
17	11/09	14.1 - 14.4	14.1 -14.4	Bayesian Networks (Contd.)
18	11/11	18.1-18.3	18.1-18.3	Learning^[3], Learning^[2]
19	11/16	18.1-18.3	18.1-18.3	Decision Trees^[3]
20	11/18	18.1-18.3	18.1-18.3	Practical Issues with Decision Trees^[3]
21	11/23		20.3	Bayesian Classifiers^[3]
	11/25			THANKSGIVING HOLIDAY - NO CLASS
22	11/30		18.8.1	Probabilty Estimations, Nearest Neighbor Classifiers^[3]
23	12/02	20.5	18.6.4, 18.7	Neural Networks^[2], Neuron Architeture^[1][4], Backpropogation Learning^[3]
	12/07			Exam 3 Review, Final Q & A
	12/09			STUDENT STUDY DAY - NO CLASS
	12/14			EXAM 3 - CSE 5360 001 (2:00 PM)
	12/14			EXAM 3 - CSE 4308 003, CSE 5360 003/901/904 (8:15 PM)
	12/16			EXAM 3 - CSE 4308 001 (2:00 PM)

Tentative Schedule