Introduction to Artificial Intelligence
Summer 2006
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CS 121 Introduction to Artificial Intelligence Summer 2006 |
| Syllabus and Handouts |
If not otherwise specified, readings reference Russell & Norvig, Artificial Intelligence, A Modern Approach, Second Edition. For more information, see the main page.
| Day | Date | Topic | Slides | Readings | Assignments Out | Assignments Due | |
| 1 | Tues | 6/27/06 | Introduction to AI Course Organization Introduction to Search |
2PP, 4PP | Ch. 1, 2 | P0: A Simple Pac-Man Agent [PDF]
(starter code UPDATED with GUI [ZIP]) |
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| 2 | Thurs | 6/29/06 | More Search Heuristic (A*) Search |
2PP, 4PP | Ch. 3, 4.1-4.2 | ||
| S1 | Fri | 6/30/06 | Section: Java 5.0, Project 0 Tutorial | 2PP, 4PP | |||
| Tues | 7/4/06 | NO CLASS, Independence Day | |||||
| 3 | Thurs | 7/6/06 | Local Search Constraint Satisfaction Problems |
2PP, 4PP | Ch. 7.4-7.8, 5 | HW1: Search and CSPs [PDF] | |
| S2 | Fri | 7/7/06 | Section: Review Search, Project 1, HW1 | 2PP, 4PP | P0 Due (Submission instructions [HTML, PDF]) | ||
| Mon | 7/10/06 | P1: A Search-Based Pac-Man Agent [PDF] (starter code [ZIP, TAR.GZ]) | |||||
| 4 | Tues | 7/11/06 | Probability Theory Search for Games |
2PP, 4PP | Ch. 13, Ch. 6 | 5 | Thurs | 7/13/06 | Probability Theory (continued) Introduction to Bayesian Networks |
2PP, 4PP | 14.1-14.2 | HW1 due |
| S3 | Fri | 7/14/06 | Section: Review Adversarial Search, Probability Theory, Project 1 | 2PP, 4PP | Ch. 20.1 | ||
| Mon | 7/17/06 | HW2: Probability and Bayesian Networks [PDF] | |||||
| 6 | Tues | 7/18/06 | Naive Bayes Models for Classification (Guest Lecturer: Bill MacCartney) | 2PP, 4PP | 20.1, 20.2 | ||
| S4 | Thu | 7/20/06 | Section: Help with Project 1 | P1 due | |||
| 7 | Tues | 7/25/06 | Bayesian Network Independence Bayesian Network Inference Machine Learning Issues |
2PP, 4PP | Ch. 14.4 | ||
| 8 | Thurs | 7/27/06 | Discriminative Classifiers: the Perceptron Hidden Markov Models |
2PP, 4PP | 20.5, 15.1-15.3 | P2: Statistical Classifiers for Spam Detection [PDF] (starter code [ZIP, TAR.GZ], dataset [ZIP, TAR.GZ]) | |
| S5 | Fri | 7/28/06 | Section: Review Bayes Nets, Machine Learning (Naive Bayes, Perceptron) | 2PP, 4PP | |||
| 9 | Tues | 8/1/06 | Hidden Markov Models (cont.) Markov Decision Processes |
2PP, 4PP, HMM Spreadsheet |
15.1-15.3, Ch. 17.1-17.3 | HW2 due | |
| 10 | Thurs | 8/3/06 | Reinforcement Learning Utility Theory |
2PP, 4PP | Ch. 21.1-21.3, 16.1-16.3 | HW3: Classifiers, HMMs, and MDPs [PDF] | |
| S6 | Fri | 8/4/06 | Section:TBA | Ch. 8.1-2 | |||
| 11 | Tues | 8/8/06 | First Order Logic: Syntax and Semantics |
2PP, 4PP | Ch. 8.1-8.3 | P2 due | |
| 12 | Thurs | 8/10/06 | First Order Logic: Logical Inference |
2PP, 4PP | Ch. 8.1-8.3, 9.1-9.2 | ||
| S7 | Fri | 8/11/06 | Section:Review HMMs, Help with Homework 3 | ||||
| 13 | Tues | 8/15/06 | Natural Language Processing | 2PP, 4PP | Ch. 23 | HW3 due | |
| 14 | Thurs | 8/17/06 | Robotics | 2PP, 4PP | Ch. 25.1-25.4 | ||
| S8 | Fri | 8/18/06 | Review for Final | 1-2pm | Skilling 193 | P3 due | |
| Fri | 8/19/06 | Alternate Final Exam | 7-10pm | Gates 104 | |||
| Sat | 8/19/06 | Final Exam | 12:15-3:15pm | Skilling 193 | |||
| Comments to CS 121 Staff |