CSG120 Artificial Intelligence -- Spring 2008
College of Computer & Information Science
Northeastern University -- Professor Robert P. Futrelle
Site updated 6 APRIL 2008
URL of this page:
Course description - from the catalog
This course introduces the fundamental problems, theories and algorithms
of the artificial intelligence field. Topics covered include: heuristic
search and game trees; knowledge representation using predicate
calculus; automated deduction and its applications; problem solving and
planning; introduction to machine learning. Required coursework includes
the creation of working programs that solve problems, reason logically,
and/or improve their own performance using techniques presented in the
Your immediate responsibilities in this course
Important details about your responsibilities are here . The topics discussed there are:
News and Notes
Follow the links on the left for details.
16 March 2008: Entire site updated with the final lecture schedule, as well as deadlines for all assignments, projects, and exams.
24 February 2008: The details needed to prepare for the Midterm Exam are here.
6 January 2008: The initial course pages have been posted on the web. Some are essentially finished, some are in draft form, and some are not yet posted.