Class |
Date |
Topic |
Reading |
Homework |
Comments |
| 1 | Th 8/30 | Introduction | Ch. 1, McCarthy article, Lisp Ch. 1 | HW1(PW) out | Fibonacci
example in Lisp
Slides (ppt); Slides (html) |
| 2 | Tu 9/4 | Agents/Lisp | Ch. 2, Lisp Ch. 2, Graham
article
Useful website: http://www.apl.jhu.edu/~hall/lisp.html |
Slides (ppt) | |
| 3 | Th 9/6 | Problem solving as search;
uninformed search; Lisp |
Lisp Ch. 3 | Nested
find example in Lisp
Slides (ppt) |
|
| 4 | Tu 9/11 | Uninformed search | Ch. 3.1-3.6, Lisp handout | HW1 due; HW2(PW) out | CLASS CANCELLED |
| 5 | Th 9/13 | Informed search | Ch. 4.1-4.4 (except material on constraints) | See 9/6 slides | |
| 6 | Tu 9/18 | Informed search | Ch. 3.7, 4.2 end, 4.4 end | Student evaluation #1 | Slides (ppt) |
| 7 | Th 9/20 | Constraint satisfaction | Kumar article; Bartak article | Slides
(ppt);
1 student |
|
| 8 | Tu 9/25 | Constraint satisfaction; search and games | Ch. 5 | HW2 due; HW3(P) out | Slides (ppt) |
| 9 | Th 9/27 | Game playing | (Ch. 5) | Slides
(ppt);
1 student |
|
| 10 | Tu 10/2 | Representation and reasoning | Ch. 6.1-6.3 | Project proposal due | Slides
(ppt);
1 student |
| 11 | Th 10/4 | QUIZ; history of AI | Chronology of AI; Ch. 27 | Slides (ppt) | |
| 12 | Tu 10/9 | Philosophy of AI; propositional logic | Turing article; Searle article; Storrs article; Ch. 6.4-6.6 | Slides
(ppt);
1 student |
|
| 13 | Th 10/11 | Propositional and first-order logic | Ch. 7 | HW3 due; HW4(W) out | Slides
(ppt);
1 student |
| 14 | Tu 10/16 | Logical inference | Ch. 9.1-9.5 | Project design document due | Slides (ppt) |
| 15 | Th 10/18 | Resolution, logic programming | Ch. 9.6-9.8, 10.1-10.3, 10.6 | See 10/16 slides | |
| 16 | Tu 10/23 | The breadth of AI: A lecture on diversity | Readings to be distributed | Slides
(ppt);
3 students |
|
| 17 | Th 10/25 | Planning | Ch. 11.1-11.7 | Slides
(ppt);
3 students |
|
| 18 | Tu 10/30 | Practical planning and execution | Ch. 12, 13 | HW4 due; HW5(W) out; student evaluation #2 | Slides
(ppt);
2 students |
| 19 | Th 11/1 | Practical planning and execution | Slides
(ppt);
1 student |
||
| 20 | Tu 11/6 | Uncertainty | New R&N Ch. 13 (replaces old Ch. 14) | Initial working system due | Slides
(ppt);
2 students |
| 21 | Th 11/8 | Probability and Bayes nets | New R&N Ch. 14.1-14.3 (replaces old Ch. 15) | Slides (ppt) | |
| 22 | Tu 11/13 | Bayes net inference | New R&N Ch. 14.4-14.8 (replaces old Ch. 15) | Slides (ppt);
1 student |
|
| 23 | Th 11/15 | Knowledge engineering | Ch. 8, 11.8 | HW5 due; HW6(W) out | Slides (ppt);
2 students |
| 24 | Tu 11/20 | Learning | Ch. 18 | Slides (ppt);
2 students |
|
| 25 | Th 11/22 | THANKSGIVING | |||
| 26 | Tu 11/27 | Symbolic learning; neural networks | Ch. 19.1-19.5 | Draft final report due | Slides (ppt);
2 students |
| 27 | Th 11/29 | Bayesian learning | Ch. 19.6-19.7; new R&N material | Final working system due | See 11/27 slides |
| 28 | Tu 12/4 | Knowledge-based and unsupervised learning | Ch. 21.1-21.2; additional readings to be distributed | 2 students | |
| 29 | Th 12/6 | Perception and vision | Ch. 24 | HW6 due | 3 students |
| 30 | Tu 12/11 | Robotics | Ch. 25 | Final report due | 2 students |
| -- | ?? | FINAL EXAM |