Version of 4 January 2004

Course description, from the catalogue:

CSG120 Artificial Intelligence (4 SH)
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 course. Prerequsite: Lisp or Java programming. (Lisp or Scheme preferred!)

Course Key Number:

29322

Institution:

Northeastern University, and the College of Computer and Information Sciences, Boston, MA.

Instructor:

Professor Robert P. Futrelle   Email me at: futrelle@ccs.neu.edu.
You can also use a web form to contact me without needing email access at all.

Futrelle's Office:

450 West Village H (WVH)

Hardcopy mailbox:

202 West Village H (WVH)

Telephone:

Futrelle's office: 617-373-4239, Lab: 617-373-4607

Textbooks:

Artificial intelligence : A Modern Approach by Stuart J. Russell and Peter Norvig Prentice Hall/Pearson Education, 2003. 2nd ed. 1080 pgs, ISBN: 0137903952. (commonly called "AIMA")

Paradigms of Artificial Intelligence Programming: Case Studies in Common LISP by Peter Norvig. Morgan Kaufman Publishers, 1992. 946 pgs, ISBN: 1558601910. (commonly called "PAIP")

Personal Help:

If you need help at any time, find Prof. Futrelle or call or send email, or ask in class to set up an appointment. Regular office hours are Tuesdays 2-3pm and Fridays 2-3pm.

On-line help:

There is a ton of information about Artificial Intelligence on the web. The best sources are probably the links on the homepages for our two textbooks: AIMA homepage, PAIP homepage.

Classes:

Thursdays 6pm - 9pm in 170 DG

Projects:

Information is available on the Projects page, as well as on the Lisp, ACL at CCIS page.

Grading:

Points of credit out of 100 points for the course:

• Each weekly report, 2 points, totalling 26 points
• Midterm Exam (open book) 15 points
• Project initial report 5 points
• Project final submission (includes class presentation) 15 points
• Final Exam (open book) 20 points

The course email archives:

All students in the course must sign up for the mailing list in order to receive important notices. Sign up at https://lists.ccs.neu.edu/bin/listinfo/csg120-sp05-rpf. You can only post mail to the list using the email address(s) you're signed up with. All mail to the list is archived and available here: https://lists.ccs.neu.edu/pipermail/csg120-sp05-rpf/. Post away -- your questions and information may well be of interest to other students in the class. Post mail to the list from your registered email address(s) to here: csg120-sp05-rpf@lists.ccs.neu.edu

Go to CSG120 home page. or RPF's Teaching Gateway or homepage