The syllabus for the course is available here.
E-mail is the best way to reach me, and I make a concerted effort to respond to all e-mails within 24 hours (often, much less!). Primarily, I will be on-campus and available in the evenings, although we can make other special arrangements as needed. During the day, I work as a research scientist at a local AI research laboratory. Often, it may not be possible for me to respond to e-mails weekdays between 8am - 5 pm, so most replies will come in the evenings.
Week |
Date |
Topic |
Reading |
Homework |
Comments |
| 1 | Tues 9/01 | Course overview; What is AI? | skim Ch. 1, McCarthy
paper, Dartmouth
Proposal, Seibel Ch. 1 (Graham Ch. 1) |
HW1 out | Slides |
| Thurs 9/03 | Agents/Lisp | Ch. 2, Graham
article, |
Intelligent
Agents Slides, Lisp slides Lisp lab |
||
Search
|
|||||
| 2 | Tues 9/08 | Problem solving as search | Ch. 3.1-3.3, Seibel Ch. 6-7,10-11 (Graham Ch. 3-4) |
Slides Lisp debugging handout | |
| Thurs 9/10 | Uninformed search | Ch. 3.4-3.7 Seibel Ch. 12-13 (Graham Ch. 5, Appendix A) |
Slides (see above) |
||
| 3 | Tues 9/15 | Informed search | Ch. 4.1-4.2 Seibel Ch. 14, "multiple values" section of Ch. 20 (Graham Ch. 7) |
HW1 due; HW2 out |
Slides |
| Thurs 9/17 | Optimization and local search | Ch. 4.3, Genetic Algorithms | Slides | ||
| 4 | Tues 9/22 | Game playing | Ch. 6.1-6.3 | Slides | |
| Thurs 9/24 | Game playing II | Ch. 6.4-6.7, Schaeffer article | Slides (see above) | ||
Logical
Reasoning and Planning
|
|||||
| 5 | Tues 9/29 | Knowledge-based agents | Ch. 7.1-7.4 | HW2 due; HW3 out; Project description out |
Slides |
| Thurs 10/01 | Propositional and first-order logic | Ch. 7.5, skim 7.7, Ch. 8.1-8.3 | Slides | ||
| 6 | Tues 10/06 | Logical inference | Ch. 9 | Project teams formed | Slides |
| Thurs 10/08 | Knowledge representation and State-space planning | Skim Ch. 10.1-10.2, skim 10.6, Ch. 11.1-11.2 | HW4 out | Slides | |
| Tues 10/13 | Fall Break | ||||
| Thurs 10/15 | Fall Break | ||||
| 7 | Tues 10/20 | Partial-order planning | Ch. 11.3 | HW 3 due | Slides (see above) |
| Thurs 10/22 | Scheduling and hierarchical planning / review | Ch. 12.1-12.2 | Project proposal due | Slides | |
| 8 | Tues 10/27 | MIDTERM | |||
Reasoning
Under Uncertainty and Machine Learning
|
|||||
| 8 | Thurs 10/29 | Probabilistic reasoning | Ch. 13.1-13.8 | Slides |
|
| 9 | Tues 11/03 | Bayesian networks | Ch. 14.1-14.2, 14.4 (section on inference by enumeration only), 20.1-20.2 (through section on Naive Bayes Models) | HW4 due; HW5 out |
Slides |
| Thurs 11/05 | Decision trees | Ch. 18.1-18.2, skim 18.3, Mitchell Ch. 3 | Slides | ||
| 10 | Tues 11/10 | Decision trees / Reinforcement Learning | Ch. 21.1-21.3 | Project design due |
RL Slides |
| Thurs 11/12 | Reinforcement Learning | Ch. 21.5-21.6 | Slides (see above) | ||
| 11 | Tues 11/17 | k-nearest neighbor, naive Bayes, boosting | 18.4, skim 20.4 | HW5 due; HW6 out | Slides |
| Thurs 11/19 | Support vector machines and kernel methods | 20.6-20.7, Bennett article | Slides | ||
| 12 | Tues 11/24 | Unsupervised and semisupervised learning | 20.3 (excluding the parts on learning Bayes Nets and Hidden Markov Models) | Tournament dry run #1 | Slides |
| Thurs 11/26 | Thanksgiving Break | ||||
Miscellaneous
Topics
|
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| 13 | Tues 12/01 | Philosophy and history of AI | Chronology of AI; Ch. 26, Turing article; Searle article | ||
| Thurs 12/03 | AI in Games / Emerging AI techniques | TBA | HW6 due; Tournament dry run #2 | Slides | |
| 14 | Tues 12/08 | Project presentations / Tournament | Tournament | ||
| Dec. 15 @ 7pm | FINAL EXAM | Project and final report due | |||
* Special topics courses are subject to change.