CECS 375 Fall 2003 Course
Schedule
Artificial Intelligence I
This is the revised schedule as of Sept.10, 2003. I will expect you to at least look over the textbook sections before coming to class. Homework assignments will be added as the semester proceeds. You can expect 4-5 major assignments, mostly (but not necessarily all) programming assignments.
|
Week |
Date |
TUESDAY |
THURSDAY |
FRIDAY |
|
1 |
Aug. 26 |
Course intro & Intro to AI [ |
Intelligent Agents [ |
|
|
2 |
Sept. 2 |
Simple Search [ |
Intro to Lisp |
|
|
3 |
Sept. 9 |
More on Lisp. Start Chapter 4 |
Heuristic Search [4.1-4.2] |
Assignment #1 Due by |
|
4 |
Sept. 16 |
Hill Climbing Simulated Annealing [4.3] |
Genetic
Algorithms [4.3] |
|
|
5 |
Sept. 23 |
Games Minimax
& Alpha-beta [Ch.
6] |
More Games Intro to Robotics [25.1-25.4] |
|
|
6 |
Sept. 30 |
Motion planning Configuration space [25.4-25.5] |
Motion planning [25.6-25.9] |
|
|
7 |
Oct. 7 |
Work on Homework |
Real-world planning |
|
|
8 |
Oct. 14 |
Exam Review |
Exam #1 |
|
|
9 |
Oct. 21 |
More planning |
Computer Vision [24.1-24.5] |
|
|
10 |
Oct. 28 |
Knowledge
representation Logical
agents [ |
First
Order Logic [ |
|
|
11 |
Nov. 4 |
More logic [8.1-8.4] |
Reasoning: Unification & Chaining [9.1-9.4] |
|
|
12 |
Nov. 11 |
Reasoning:
Resolution [9.5-9.6] |
Classical Planning, Decision Trees [11.1-11.4; 18.1-18.3] |
|
|
13 |
Nov. 18 |
Decision Trees, PAC Learning [18.4-18.5] |
Learning: Neural Nets [20.5] |
|
|
14 |
Nov. 25 |
Thanksgiving break |
Thanksgiving break |
|
|
15 |
Dec. 2 |
Backpropagation Unsupervised learning |
Reinforcement learning [ |
|
|
16 |
Dec. 9 |
Bayesian Learning |
Exam Review
|
|
|
17 |
Dec. 16 |
Final Exam: Tues., |
|
|