This course is for seniors and graduate students interested in obtaining
a broad overview of the field of artificial intelligence. A basic background
in computer science and programming in structured languages is assumed.
Students should have completed CS-201 and CS-202 before taking this course.
Textbook:
Artificial Intelligence: A Modern Approach by Stuart Russell
and Peter Norvig.
Lisp by Patrick Henry Winston and Berthold K.P. Horn (this
book is optional).
There will also be copies of various papers obtainable from Tyco.
Meeting Time and Place:
MWF 2:30-3:20
Becton 102
TA's and office hours:
TBA
Problem Sets and Exams:
There will be about six problem sets plus midterm and final. The midterm
is equivalent to one problem set, the final is equivalent to two.
Problem sets will involve both written work and programming exercises
in the Lisp programming language. Late problem sets will not be accepted,
but the worst problem set grade will be dropped.
TOPICS:
Here are the topics I plan to cover, lecture by lecture.
Overview
1-2: Historical and topical overview of the field. Discussion of the
goals of AI.
3-4: Intelligent agents, structure and architecture