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 06/08 1, 2 1, 2 1, 2
 Course Details[1] and Overview[1], Agents[2]
2 06/10 3 3.1 - 3.4 3.1 - 3.4 Solving Problems by Search[2], Notes on Implementation[1]
3 06/15 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]
4 06/17 4, 6 3.5 - 3.6, 5 3.5 - 3.6, 5 Informed Search[2](Contd), Game Playing[2]
5 06/22 6
 5
 5 Alpha - Beta Pruning[3], Non - Deterministic Games
6 06/24 5
 6
 6
 Constraint Satisfaction Problems[2]
7 06/29 5, 7 6, 7 6, 7
 Constraint Satisfaction Problems[2](Contd),  Knowledge and Logic Reasoning[2]
8 07/01
 7,8.1-8.3, 9.1.2, 9.2 7,8.1-8.3, 9.1.2, 9.2 7,8.1-8.3, 9.1.2, 9.2 Inference by Enumeration[2], FC/BC, First Order Logic
9 07/06 8.1-8.3, 9.1.2, 9.2, 11  8.1-8.3, 9.1.2, 9.2, 10 8.1-8.3, 9.1.2, 9.2, 10 First Order Logic (Contd.), (Addl Material: Unification & FC/BC[2]), Planning[3], Planning[2]

07/08


Exam 1 Material Review

07/13


EXAM 1
10 07/15 11 10 10 Planning (Contd.)
11 07/20 12, 13 11, 13 11, 13 Conditional Planning and Replanning[3], Conditional Planning and Replanning[2], Probablity[2]
12 07/22 13 13 13 Probablity[2], Joint Probablity Distribution, Prior and Posterior Probablites[3]
13 07/27 14.1 - 14.4 14.1 - 14.4 14.1 - 14.4 Bayesian Networks[3], Bayesian Networks[2]
14 07/29 18.1-18.3 18.1-18.3 18.1-18.3 Learning[3], Learning[2], Decision Trees[3]
15 08/03 18.1-18.3 18.1-18.3, 20.3, 18.8.1 18.1-18.3, 20.3, 18.8.1 Practical Issues with Decision Trees[3], Bayesian Classifiers
16 08/05
20.3, 18.8.1 20.3, 18.8.1 Nearest Neighbor Classifiers[3]
17 08/10 20.5 18.6.4, 18.7 18.6.4, 18.7 Neural Networks[2], Neuron Architeture[1][4],  Backpropogation Learning[3]

08/12


Exam 2 Material Review,Final Q & A

08/17


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

Any Schedule changes will be listed here.