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 01/13
 1 1 1 Course Details[1] and Overview[1]
2 01/15
 2, 3 2, 3.1 - 3.4 2, 3.1 - 3.4 Agents[2], Solving Problems by Search[2]

01/20


MARTIN LUTHER KING JR DAY - NO CLASS
3
 01/22
 4 3.5 - 3.6 3.5 - 3.6 Informed Search[2], Search (contd.), Notes on Implementation[1]
4
 01/27
 6 5 5
 Game Playing[2]
5
 01/29
 6
 5
 5
   Alpha - Beta Pruning[3], Non - Deterministic Games
6
 02/03
 5 6
 6
 Constraint Satisfaction Problems[2]

02/05


QUIZ 1
7
 02/10
 7
 7
 7
 QUIZ 1 Review, Knowledge and Logic Reasoning[2]
8
 02/12
 7
 7
 7
 Inference by Enumeration,  Forward and Backward Chaining, Resolution
9
 02/17
 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]
10
 02/19
 8.1-8.3, 9.1, 9.2 8.1-8.3, 9.1, 9.2 8.1-8.3, 9.1, 9.2
 Inference in FOL
11 02/24
 11 10 11
 Planning[3], Planning[2]
12 02/26
 12 11 11
 Conditional Planning & Replanning[3], Conditional Planning & Replanning[2]

03/03


QUIZ 2
13
 03/05
 13 13 12
 QUIZ 2 Review, Probablity[2]

03/10


SPRING BREAK - NO CLASS

03/12


SPRING BREAK - NO CLASS
14
 03/17
 13 13 12
 Joint Probablity Distribution, Prior and Posterior Probablites[3]
15
 03/19
 14.1 - 14.4 14.1 - 14.4 13.1-13.4 Bayesian Networks[3], Bayesian Networks[2]
16
 03/24
 14.1 - 14.4 14.1 - 14.4 13.1-13.4 Bayesian Networks (Contd.)
17
 03/26
 18.1-18.3 18.1-18.3 19.1-19.3 Learning[3], Learning[2]

03/31


QUIZ 3
18
 04/02
 18.1-18.3 18.1-18.3 19.1-19.3
 QUIZ 3 Review, Decision Trees[3]
19
 04/07
 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]
21
 04/14
20.3 20.3 Probabilty Estimations
22
 04/16
 18.8.1 19.7.1
 Nearest Neighbor Classifiers[3]
23
 04/21
 20.5 18.6.4, 18.7 19.6.4, 21.1
 Neural Networks[2], Neuron Architeture[1][4],  Backpropogation Learning[3]

04/23


QUIZ 4
24
 04/28


QUIZ 4 Review, Final Exam Review Session, Final Q & A

04/30


STUDENT STUDY DAY - NO CLASS

05/05


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