CS 188: Artificial Intelligence

Fall 2011

Announcements Course Info Lectures Assignments Section FAQ Piazza

Lectures

This lecture schedule is subject to change. In particular, the midterm date will not be finalized until a week or so into the course.
You may want to look at last semester's slides, but there will be changes.
Note: Unreleased project out and due dates are just guesses and will likely change somewhat.

Webcasts are available: YouTube EDU (low-framerate screencasts), iTuneU (coming, low-framerate), EECS (high-framerate, in Webcast column below).
 
Day Topic Reading Slides Webcast Out Due
Th 8/25 Introduction to AI Ch. 1 2PP 6PP wmv zip P0: Tutorial 8/31
Tu 8/30 Agents and Search Ch. 3.1-4 (2e: Ch. 3) 2PP 6PP wmv-a wmv-b zip-a zip-b P1: Search 9/14
Th 9/1 A* Search and Heuristics Ch. 3.5-6 (2e: Ch. 4.1-2) 2PP 6PP wmv-a wmv-b zip    
Tu 9/6 Constraint Satisfaction Problems Ch. 6.1 (2e: Ch. 5.1) 2PP 6PP wmv-a wmv-b zip W1: Search and CSPs 9/21
Th 9/8 CSPs II Ch. 6.2-5 (2e: Ch. 5.2-4) 2PP 6PP wmv-a wmv-b zip    
Tu 9/13 Game Trees: Minimax Ch. 5.2-5 (2e: Ch. 6.2-5) 2PP 6PP wmv-a wmv-b zip P2: Multi-Agent Pacman 9/28
Th 9/15 Game Trees: Expectimax Ch. 5.2-5 (2e: Ch. 6.2-5) 2PP 6PP wmv zip    
Tu 9/20 Utilities / Markov Decision Processes Ch. 16.1-3 2PP 6PP wmv zip W2: Games and MDPs 10/5
Th 9/22 Markov Decision Processes Sutton and Barto Ch. 3-4 2PP 6PP wmv zip    
Tu 9/27 Reinforcement Learning Ch. 17.1-3, S&B Ch. 6.1,2,5 2PP 6PP wmv zip P3: Reinforcement Learning 10/12
Th 9/29 Reinforcement Learning II   2PP 6PP wmv zip    
Tu 10/4 Probability Ch. 13.1-5 (2e: Ch. 13.1-6); 2PP 6PP wmv zip W3: RL, Probability and Bayes' Nets 10/21
Th 10/6 Bayes' Nets: Representation Ch. 14.1-2,4 2PP 6PP wmv zip  
Tu 10/11 Bayes' Nets: Independence Ch. 14.1-2,4 2PP 6PP wmv zip
Th 10/13 Bayes' Nets: Inference Ch. 14.3, Jordan 2.1 2PP 6PP wmv zip    
Tu 10/18 Bayes' Nets: Sampling Ch. 14.4-5 2PP 6PP wmv zip  
Th 10/20 Midterm Review wmv zip  
Tu 10/25 MIDTERM EXAM (5-8pm) (no lecture)  
Th 10/27 Decision Diagrams / VPI Ch. 15.1-3, 6 2PP 6PP wmv zip
Tu 11/1 HMMs: Filtering Ch. 15.2,5 2PP 6PP wmv zip
Th 11/3 HMMs: Particle Filtering Ch. 15.2,6 2PP 6PP wmv zip P4: Ghostbusters 11/16
Tu 11/8 Speech / ML Ch. 15.2,6 2PP 6PP wmv zip  
Th 11/10 ML: Naive Bayes Ch. 15.2,6 2PP 6PP wmv zip Contest: Pacman Capture the Flag 11/30
Tu 11/15 ML: Perceptrons   2PP 6PP wmv zip
Th 11/17 Talk: IBM Watson   W4: VPI, HMMs, and Machine Learning 11/29
Tu 11/22 Language / Robotics / Vision   2PP 6PP wmv zip P5: Classification optional
Th 11/24 NO CLASS
Tu 11/29 Language / Robotics / Vision   2PP 6PP wmv zip    
Th 12/1 Advanced Topics and Final Contest   2PP 6PP wmv zip    
F 12/16 FINAL EXAM (8-11am)