Foundations of
Artificial Intelligence
| Lecturer: Kan Min-Yen | |
| Thursdays, 2:00 – 4:00 pm | |
| LT 33 |
| Introduction to Artificial Intelligence | |
| Course administration | |
| Intelligent Agents |
| Teaching staff | |
| Web sites | |
| Objective | |
| Syllabus | |
| Assessment overview | |
| Any questions? |
| Lecturer: | ||
| Min-Yen Kan (“Min”) | ||
| kanmy@comp.nus. edu.sg |
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| Office: S15 05-05 | ||
| 6875-1885 | ||
| Hours: 12 – 2 Thurs, or by appointment | ||
| Hobbies: rock climbing, ballroom dancing, and inline skating… |
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| http://www.comp.nus.edu.sg/~cs3243 | |||
| Lecture, Tutorials, Notes, and Homework | |||
| Other supplementary content | |||
| http://ivle.nus.edu.sg/ | |||
| Discussion forum | |||
| Any questions related to the course should be raised on this forum | |||
| Emails to me and Weihua considered public unless otherwise specified | |||
| Announcements | |||
| Homework submissions | |||
| Understand the essential concepts of Artificial Intelligence. These basic concepts include search and knowledge representation, logic and game playing. | |||||
| Students will also get a preview of at least one advanced area of AI in a self-selected, advanced lecture. | |||||
| Who? | |||||
| Undergraduates and beginning graduate students. Centered towards IS/CS or by permission. | |||||
| Required textbook: | ||
| Russell and Norvig (2003) Artificial Intelligence: A Modern Approach (2nd Edition ← Important!) | ||
| “Just terrific” – Prof. Brewka | ||
| “… a major step forward ... For the unified veiw of the field that this book introduces. Even for the experts in the field, there are important insights in almost every chapter” – Prof. Dietterich | ||
| “Worth every penny! Recent advances covered in the advanced chapter” – (me!) | ||
| Tutorial participation is very important. There are no “dumb” questions. You will only be penalized for not asking questions / not giving comments. | |
| Possibilities: | |
| Name tags | |
| Cold calls | |
| Small group discussion and presentation |
| Homework #1 (Individual) 20% | ||
| 17 Feb | ||
| Midterm 20% | ||
| 3 Mar | ||
| Homework #2 (Team) 20% | ||
| 7 Apr | ||
| Final Exam 40% | ||
| 26 Apr | ||
| Collaboration is acceptable and encouraged | |||||
| To assure that all collaboration is on
the level, you must always write the name(s) of your collaborators on your assignment. |
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| You will be assessed for the parts for which you claim is your own contribution. | |||||
| You are free to meet with fellow students(s) and discuss assignments with them. | |||||
| Writing on a board or shared piece of paper is acceptable during the meeting; however, you may not take any written (electronic or otherwise) record away from the meeting. | |||||
| After the meeting, do something else for at least a half-hour (watch an episode of Gilligan's Island), before working on the assignment. | |||||
| This will assure that you are able to reconstruct what you learned from the meeting, by yourself, using your own brain. | |||||