Tentative Schedule (changes posted at the end)

Lecture recordings will be available on Canvas.

L/No Date Chapters, 2nd Edition Chapters, 3rd Edition Chapters, 4th Edition Topic
1
 06/03 1, 2 1, 2 1, 2
 Course Details[1] and Overview[1], Agents[2]
2
 06/05 3 3.1 - 3.4 3.1 - 3.4 Solving Problems by Search[2]
3
 06/10 3, 4 3.1 - 3.4, 3.5 - 3.6 3.1 - 3.4, 3.5 - 3.6 Solving Problems by Search[2] (Contd.), Informed Search[2], Notes on Implementation[1]
4
 06/12 6
 5
 5 Game Playing[2], Alpha - Beta Pruning[3], Non - Deterministic Games

06/17


QUIZ 1, Quiz 1 Discussion
5
 06/19 5
 6
 6
 Constraint Satisfaction Problems[2]
6
 06/24 7 7 7
 Knowledge and Logic Reasoning[2], Inference by Enumeration[2], FC/BC
7
 06/26
 8.1-8.3, 9.1.2, 9.2 8.1-8.3, 9.1.2, 9.2 8.1-8.3, 9.1.2, 9.2 First Order Logic, Unification & FC/BC[2]

07/01


Exam 1 Material Review, Q & A session

07/03


EXAM 1
8
 07/08 11
 10
 11
 Planning[3], Planning[2]
9
 07/10 12, 13 11, 13 11, 12 Conditional Planning and Replanning[3], Conditional Planning and Replanning[2], Probablity[2]
10
 07/15 13 13 12 Probablity[2], Joint Probablity Distribution, Prior and Posterior Probablites[3]
11
 07/17 14.1 - 14.4 14.1 - 14.4 13.1 - 13.4 Bayesian Networks[3], Bayesian Networks[2]

07/22


QUIZ 2, Quiz 2 Discussion
12
 07/24 18.1-18.3 18.1-18.3 19.1-19.3 Learning[3], Learning[2], Decision Trees[3]
13
 07/29 18.1-18.3 18.1-18.3, 20.3, 18.8.1 19.1-19.3, 20.3, 19.7.1 Practical Issues with Decision Trees[3], Bayesian Classifiers
14
 07/31 18.1-18.3 18.1-18.3, 20.3, 18.8.1 19.1-19.3, 20.3, 19.7.1 Estimating Probabilties (contd.), Nearest Neighbor Classifiers[3]
15
 08/05 20.5 18.6.4, 18.7 19.6.4, 21.1 Neural Networks[2], Neuron Architeture[1][4],  Backpropogation Learning[3]

08/07


Exam 2 Material Review, Q & A session

08/09


EXAM 2


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