Tentative Schedule for Monday - Wednesday Sections (changes, if any, posted at the end)

Lecture videos and Class discussion recordings will be available on Canvas.

L/no Date Chapters, 2nd Edition Chapters, 3rd Edition Chapters, 4th Edition Topic
1 08/21
1 1 1 Course Details[1] and Overview[1]
2 08/22
2, 3 2, 3.1 - 3.4 2, 3.1 - 3.4 Agents[2], Solving Problems by Search[2]
3 08/28
4 3.5 - 3.6 3.5 - 3.6 Informed Search[2]
4
08/30
4 3.5 - 3.6 3.5 - 3.6
Search (contd.), Notes on Implementation[1]

09/04



LABOR DAY - NO CLASS

09/06



QUIZ 1
5
09/11
6 5 5
Game Playing[2], Alpha - Beta Pruning[3]
6
09/13
6, 5 5, 6
5, 6
Non - Deterministic Games, Constraint Satisfaction Problems[2]
7
09/18
5 6 6
CSP (contd.)
8
09/20
7
7
7
Knowledge and Logic Reasoning[2], Inference by Enumeration
9
09/25
7
7
7
Forward and Backward Chaining, Resolution

09/27



QUIZ 2
10 10/02
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 10/04
11 10 11
Planning[3], Planning[2]
12 10/09
12 11 11
Conditional Planning and Replanning[3], Conditional Planning and Replanning[2]
13 10/11
13 13 12
Probablity[2]
14 10/16
13 13 12
Joint Probablity Distribution, Prior and Posterior Probablites[3]

10/18



QUIZ 3
15
10/23
14.1 - 14.4 14.1 - 14.4 13.1-13.4 Bayesian Networks[3], Bayesian Networks[2]
16
10/25
14.1 - 14.4 14.1 - 14.4 13.1-13.4 Bayesian Networks (Contd.)
17
10/30
18.1-18.3 18.1-18.3 19.1-19.3 Learning[3], Learning[2]
18
11/01
18.1-18.3 18.1-18.3 19.1-19.3
Decision Trees[3]
19 11/06
18.1-18.3 18.1-18.3 19.1-19.3 Practical Issues with Decision Trees[3]

11/08



QUIZ 4
20 11/13

20.3 20.3 Bayesian Classifiers[3]
21 11/15

20.3 20.3 Probabilty Estimations
22
11/20

 18.8.1 19.7.1
Nearest Neighbor Classifiers[3]

11/22



THANKSGIVING HOLIDAY - NO CLASS
23
11/27
20.5 18.6.4, 18.7 19.6.4, 21.1
Neural Networks[2], Neuron Architeture[1][4]Backpropogation Learning[3]

11/29



QUIZ 5

12/04



Final Exam Review Session, Final Q & A

12/06



STUDENT STUDY DAY - NO CLASS

12/11



FINAL EXAM WEEK - Check here for exact Date and Time

12/13



FINAL EXAM WEEK - Check here for exact Date and Time

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

Any Schedule changes will be listed here.