Tentative Schedule for Tuesday - Thursday 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 01/16
 1 1 1 Course Details[1] and Overview[1]
2 01/18
 2, 3 2, 3.1 - 3.4 2, 3.1 - 3.4 Agents[2], Solving Problems by Search[2]
3 01/23
 4 3.5 - 3.6 3.5 - 3.6 Informed Search[2]
4
 01/25
 4 3.5 - 3.6 3.5 - 3.6
 Search (contd.), Notes on Implementation[1]
5 01/30
 6 5 5
 Game Playing[2], Alpha - Beta Pruning[3]

02/01


QUIZ 1
6
 02/06
 6
 5
 5
 QUIZ 1 Review, Non - Deterministic Games
7
 02/08
 5 6 6
 Constraint Satisfaction Problems[2]
8
 02/13
 7
 7
 7
 Knowledge and Logic Reasoning[2], Inference by Enumeration
9
 02/15
 7
 7
 7
 Forward and Backward Chaining, Resolution
10
 02/20
 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]

02/22


QUIZ 2
11 02/27
 11 10 11
 Planning[3], Planning[2]
12 02/29
 12 11 11
 Conditional Planning & Replanning[3], Conditional Planning & Replanning[2]
13 03/05
 13 13 12
 Probablity[2]
14
 03/07
 13 13 12
 Joint Probablity Distribution, Prior and Posterior Probablites[3]

03/12


SPRING BREAK - NO CLASS

03/14


SPRING BREAK - NO CLASS
15
 03/19
 14.1 - 14.4 14.1 - 14.4 13.1-13.4 Bayesian Networks[3], Bayesian Networks[2]

03/21


QUIZ 3
16
 03/26
 14.1 - 14.4 14.1 - 14.4 13.1-13.4 QUIZ 3 Review, Bayesian Networks (Contd.)
17
 03/28
 18.1-18.3 18.1-18.3 19.1-19.3 Learning[3], Learning[2]
18
 04/02
 18.1-18.3 18.1-18.3 19.1-19.3
 Decision Trees[3]
19
 04/04
 18.1-18.3 18.1-18.3 19.1-19.3 Practical Issues with Decision Trees[3]
20
 04/09
20.3 20.3 Bayesian Classifiers[3]

04/11


QUIZ 4
21
 04/16
20.3 20.3 QUIZ 4 Review, Probabilty Estimations
22
 04/18
 18.8.1 19.7.1
 Nearest Neighbor Classifiers[3]
23
 04/23
 20.5 18.6.4, 18.7 19.6.4, 21.1
 Neural Networks[2], Neuron Architeture[1][4],  Backpropogation Learning[3]

04/25


QUIZ 5
24
 04/30


QUIZ 5 Review, Final Exam Review Session 2, Final Q & A

05/02


FINAL EXAM - Check here for exact Date and Time

05/07


FINAL EXAM - 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