CSC 480 Artificial
Intelligence Dr. Susan Imberman Spring 2008
Prerequisites: CSC 326
|
Textbook: Artificial Intelligence A Modern Approach, Stuart
Russell, Peter Norvig, 3rd edition ISBN-10: 0136042597 |
Course Requirements
2 Exams |
50% |
Projects, Collected Homework |
30% |
Robot Project |
20% |
Office Hours: Thur 11:30AM – 1:30PM 1N 208
E-mail: susan dot imberman at csi dot cuny dot edu (make sure you include the @ instead of the at, the . instead of the dot, and no spaces)
Course Web Site: http://www.cs.csi.cuny.edu/~imberman/ai/index.htm
Course Outline - The topics listed below are subject to change.
1. History of Artificial Intelligence
2. Intelligent Agents
3. Solving Problems by Searching
4. Search Methods
5. Game Playing
6. Agents that reason logically
7. Machine Learning - Decision Trees and Support Vector Mahcines
8. Learning in Neural Networks
9. Robotics
Academic Integrity: CSI’s academic integrity policy:
Integrity
is fundamental to the academic enterprise. It is violated by such acts as
borrowing or purchasing term papers, essays, reports, and other written
assignments; using concealed notes or crib sheets during examinations; copying
the work of others and submitting it as one’s own; and misappropriating the
knowledge of others. The source from which one derives one’s ideas, statements,
terms, and data must be fully and specifically acknowledged in the appropriate
form; failure to do so, intentionally or unintentionally, constitutes
plagiarism. Violations of academic integrity may result in failure in a course
and in disciplinary actions with penalties such as suspension or dismissal from
the college.
MY Academic Integrity Policy
– We will be doing a lot of group work this semester. The workload should be shared by all members
of a team, not shared with other teams.
Copying someone else’s computer code, even though you changed the
variable names, is called plagiarism and cheating. All cheating is rewarded with a 0 on the
assignment whether you are the copyer or the copyee.