Tentative Course Schedule

All chapters below are from the second edition of the course textbook. It is recommended that you read as much of the indicated sections before class. All review sessions for exams will be held in Duncan Hall from 7 pm to 10 pm.


Date TopicReadingHW InfoDue
What is AI?
Aug 28 Intelligent Agents (6pp),(4pp),(2pp) 1,2 Term project Hw 1 handed out
Decision making in deterministic environments
Aug 30 Problem solving agents (6pp),(4pp),(2pp) 2 Prog 1 handed out with supporting code

Sep 4 Dynamic programming and search(6pp),(4pp),(2pp) 3

Sep 6 Heuristic search(6pp),(4pp),(2pp) 4.1-4.2

Sep 11 Local search: HC/GSAT(6pp),(4pp),(2pp) 4.3-4.4

Sep 13 Local search: GAs(6pp),(4pp),(2pp) 4.3,4.4 Hw 2 handed out
Hw 1 due
Sep 18 Adversarial search: games(6pp)(4pp),(2pp) 6 Prog 2 handed out with supporting code and documentation
Prog 1 due
Sep 20 Game theory(6pp)(4pp)(2pp) 6

Sep 25 Constraint satisfaction(6pp)(4pp)(2pp) 5.1-5.4

Decision making in stochastic environments
Sep 27 Bayesian networks(6pp)(4pp)(2pp) 13
Pac report 1 due
Oct 2 Bayesian networks: semantics(6pp)(4pp)(2pp) 14.1-14.3

Oct 4 Bayesian networks: exact inference(6pp)(4pp)(2pp) 14.4 Hw 3 handed out
Hw 2 due
Oct 9 Bayesian networks: approx. inference(6pp)(4pp)(2pp) 14.5 Prog 3 handed out
supporting code
javadoc

Prog 2 due
Oct 11 Bayesian networks: approx. inference(6pp)(4pp)(2pp) 14.5 Exam 1 (7-10pm) DH
Oct 16 Midterm recess


Oct 18 Probabilistic reasoning over time(6pp)(4pp)(2pp) 15.1-15.2
Pac report 2 due
Oct 23 Hidden Markov Models(6pp)(4pp)(2pp) 15.3

Oct 25 Kalman filters and DBNs(6pp)(4pp)(2pp) 15.4-15.5
Hw 3 due
Oct 30 Utility theory and decision networks(6pp)(4pp)(2pp) 16 Prog 4 handed out
Prog 3 due
Nov 1 Sequential decision making(6pp)(4pp)(2pp) 17.1-17.3

Learning and decision making in unknown environments
Nov 6 Statistical machine learning(6pp)(4pp)(2pp) 20.1,20.4 Hw 4 handed out

Nov 8 Neural networks(6pp)(4pp)(2pp) 20.5 PA4 handed out

Nov 13 Kernel machines & SVMs(6pp)(4pp)(2pp) 20.6
Pac report 3 due
Nov 15 Decision tree learning(6pp)(4pp)(2pp) 18.1-18.3

Nov 20 Learning with text(6pp)(4pp)(2pp) 23.1-23.3
Hw 4 due
Nov 22 Thanksgiving Recess


Nov 27 Ensemble learning(6pp)(4pp)(2pp) 18.4-18.6
Prog 4 due
Nov 29 Reinforcement Learning(6pp)(4pp)(2pp) 21.1-21.4

Dec 4 Reinforcement learning(6pp)(4pp)(2pp)
Pac Standings (7-10pm) DH

Pac final report due
Dec 6 Wrap up lecture

Exam 2 (7-10pm) DH


Last modified: August 8, 2007 by
Devika Subramanian
devika@rice.edu