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 08/17
 1 1 1 Course Details[1] and Overview[1]
2 08/19
 2, 3 2, 3.1 - 3.4 2, 3.1 - 3.4 Agents[2], Solving Problems by Search[2]
3 08/24
 4 3.5 - 3.6 3.5 - 3.6 Informed Search[2]
4
 08/26
 4 3.5 - 3.6 3.5 - 3.6
 Informed Search (contd.), Notes on Implementation[1]
5 08/31
 6 5 5
 Game Playing[2], Alpha - Beta Pruning[3]

09/02


EXAM 1

09/07


LABOR DAY - NO CLASS
6
 09/09
 6
 5
 5
 Non - Deterministic Games
7
 09/14
 5 6 6
 Constraint Satisfaction Problems[2]
8
 09/16
 5 6 6
 CSP (Contd.)
9
 09/21
 7
 7
 7
 Knowledge and Logic Reasoning[2], Inference by Enumeration
10
 09/23
 7
 7
 7
 Forward and Backward Chaining, Resolution
11 09/28
 8.1-8.3
 8.1-8.3 8.1-8.3
 First Order Logic[3]

09/30


EXAM 2
12
 10/05
 9.1, 9.2 9.1, 9.2 9.1, 9.2 Unification & FC/BC[2]
13 10/07
 11 10 11
 Planning[3], Planning[2]
14 10/12
 11
 10
 11
 Planning (Contd.)
15
 10/14
 12 11 11
 Conditional Planning and Replanning[3], Conditional Planning and Replanning[2]
16
 10/19
 13 13 12
 Probablity[2]
17
 10/21
 13 13 12
 Prior and Posterior Probablites[3]
18
 10/26
 14.1 - 14.4 14.1 - 14.4 13.1-13.4 Bayesian Networks[3], Bayesian Networks[2]

10/28


EXAM 3
19
 11/02
 18.1-18.3 18.1-18.3 19.1-19.3 Learning[3], Learning[2]
20
 11/04
 18.1-18.3 18.1-18.3 19.1-19.3
 Decision Trees[3]
21 11/09
 18.1-18.3 18.1-18.3 19.1-19.3 Practical Issues with Decision Trees[3]
22 11/11
20.3 20.3 Bayesian Classifiers[3], Probability Estimations
23
 11/16
 18.8.1 19.7.1
 Probability Estimations (Contd.), Nearest Neighbor Classifiers[3]
24
 11/18
 20.5 18.6.4, 18.7 19.6.4, 21.1
 Neural Networks[2], Neuron Architeture[1][4],  Backpropogation Learning[3]

11/23


EXAM 4

11/25


THANKSGIVING HOLIDAY - NO CLASS

11/30


Final Exam Review Session, Final Q & A

12/02


STUDENT STUDY DAY - NO CLASS

12/03 - 12/09


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