| Date | Lecture Topics | Assigned Readings |
|---|---|---|
| 9/1 |
Introduction to AI (Lecture Slides) |
R&N: Ch. 1 (omit Sect. 1.2), Ch. 2 (omit Sect. 2.3), Ch. 26 |
| 9/3 |
Evaluating Symbolic Expressions
(Lecture Slides) Assignment 1 out |
ACL: 1-24, 31-55, 195-199 |
| 9/8 | Functional Programming | ACL: 114-116, 143-150 |
| 9/10 |
Lisp Programming I (Lecture Slides) |
ACL: 133-138, 201-203, 208-211, 287-294 |
| 9/15 |
Lisp Programming II (Lecture Slides) Control Strategies (Lecture Slides) |
ACL: 81-92, 102-103, 119-125, 130-131 |
| 9/17 |
Mapping Functions (Lecture Slides) Lisp Macros (Lecture Slides) |
ACL: 25-27, 160-173 |
| 9/22 |
In-class Exercise Associative Memory (Lecture Slides) General Problem Solving (Lecture Slides) |
ACL: 248-250, 295-303 |
| 9/24 |
State Space Search I (Lecture Slides) Assignment 2 Out |
R&N: 59-83 |
| 9/29 |
Assignment 1.2 Review State Space Search II (Lecture Slides) Quiz 1 |
R&N: 94-101, 105-110 |
| 10/1 |
Quiz 1 Review Constraint Satisfaction Problems (Lecture Slides) Assignment 3 Out |
R&N: 137-147 |
| 10/6 |
Adversarial Search (Lecture Slides) Quiz 2 |
R&N: 161-171, 180-185 |
| 10/8 |
Review of Asg. 2 Alpha-Beta Search (Lecture Slides) Checkers is Solved Problem Reduction Hill Climbing Intro |
R&N: 110-116 |
| 10/13 |
Asg. 3 Review Quiz 2 Review Hill Climbing (Lecture Slides) |
R&N: 119-122, 150-151 |
| 10/15 | MIDTERM EXAM | --- |
| 10/20 |
Review Midterm Exam Simulated Annealing (Lecture Slides) |
R&N: 115-116 |
| 10/22 |
Automated Reasoning Propositional Resolution |
R&N: 194-197, 200-207 R&N: 210-217 |
| 10/27 |
Propositional Resolution In-class Exercise FOPC and Unification (Lecture Slides) Assignment 4 Out |
R&N: 245-256, 272-278 |
| 10/29 |
FOPC Resolution In-class Exercise Answer Extraction (Lecture Slides) Intro to Prolog |
R&N: 295-300, 304-306 R&N: 287-290 |
| 11/3 |
Prolog
(Lecture Slides) Knowledge Engineering Assignment 5 Out |
Clocksin & Mellish, Prolog, 1984, 1-21 R&N: 217-220, 260-266, 280-283 |
| 11/5 | Computer Vision (T. Huynh) | R&N: 752-754, 869-873, 885-894 |
| 11/10 |
Asg. 4 Review Knowledge Engineering (Lecture Slides) Rule-Based Expert Systems |
Gonzalez, Engineering Knowledge Based Systems, 1993, 86-99 |
| 11/12 |
Rule-Based Systems (cont.) (Lecture Slides) Abductive Expert Systems (Lecture Slides) |
R&N: 320-324, 349-352 Peng, Abductive Inference Methods, 1990, 1-9, 20-24 |
| 11/17 |
Asg. 5 Review Probability Theory Review Bayesian Classifiers (Lecture Slides) Assignment 6 Out |
R&N: 462-482 |
| 11/19 |
Bayesian Networks (Lecture Slides) |
R&N: 492-501, 504-506, 511-514 Peng, Abductive Inference Methods, 1990, 99-100, 113-115 |
| 11/24 |
Planning
(Lecture Slides) Assignment 7 Out |
R&N: 375-393 |
| 11/26 | Thanksgiving Holiday | --- |
| 12/1 |
Asg. 6 Review Natural Language Processing (Lecture Slides) Assignment 8 Out |
R&N: 790-800, 818-824 Woods, Transition Network Grammars, CACM, 1970, 591-596 only |
| 12/3 |
Machine Learning (Lecture Slides) |
R&N: 649-664 |
| 12/8 |
Asg. 7 Review
(Slides) Neural Networks (Lecture Slides) Class Evaluation |
R&N: 736-746 |
| 12/10 |
Asg. 8 Review
(Slides) Neural Nets (concl.) (Lecture Slides) Genetic Algorithms (Lecture Slides) |
R&N: 116-119 |
| 12/17 | FINAL EXAM, 10:30 AM | --- |