Welcome to CS472 Foundations of Artificial Intelligence!
Who, When, Where?
Where: Olin Hall, Room 155
When: 11:15am-12:05am on Mondays, Wednesdays and Fridays
Professor: Claire Cardie
TAs: Alexa Sharp, Kamal Aboul-Hosn, Eric Holmberg-Weidler,
Office hours and contact information can be found on the personnel
Final Exam: Tuesday, December 14,
12-2:30pm, Phillips 101
This course introduces the theoretical and computational techniques
that serve as a foundation for the study of artificial intelligence
(AI). Topics to be covered include the following:
- Introduction of AI and background: What is AI? Related fields
- Problem solving by search: principles of search, uninformed
(“blind”) search, informed (“heuristic”) search, genetic
algorithms, game playing
- Learning: inductive learning, concept formation, decision tree
learning, statistical approaches, neural networks
- Knowledge representation and reasoning: knowledge bases
and inference; constraint satisfaction; planning;
theorem-proving; Bayesian networks
- Natural language understanding: syntactic processing, ambiguity
resolution, text understanding
This course has no prerequisites other than a facility with programming
and the basic mathematical skills obtained in CS280.
An understanding of inference in first-order logic and basic blind
search techniques (i.e., breadth-first and depth-first search) is
also assumed, but background readings in these topics can be provided
for those with a deficiency in this area.
Primary textbook for the course is Artificial Intelligence:
A Modern Approach, Russell and Norvig, Prentice-Hall, Inc., second
The PC’s in the Undergraduate PC Lab (Room 317, Upson Hall) are
the primary computing resource for the class.
Class Notes and Handouts
Most class notes and handouts will be available on-line on the
course materials page.
Office hours are listed on the personnel page.
Sending mail to email@example.com
will contact the entire course staff, but the preferred method of getting help
is using the newsgroup cornell.class.cs472.
You should check the newsgroup before posing your question to the
course staff via e-mail in case it has
already been answered. All the rules of academic integrity still apply on the
newsgroup, of course. If you have any doubts, use the mailing list instead.
You are responsible for knowing and following Cornell’s academic
integrity policy. In short, the work you submit is expected
to be your own. Violation
of the Academic Integrity Code very often results in failure in
the course. If there is any doubt as to what kind of collaboration
is allowed, please ask the instructor.