CS 256: Topics in Artificial Intelligence
1730-1845 TTh, MH 234
Jeff Smith, MH 415, 924-5153
`smithj@mathcs.sjsu.edu`

Office hours (tentative):

1430-1600 MW, 1600-1730 Tu, 1700-1730 Th, or by appointment.

Text:

Luger & Stubblefield, Artificial Intelligence, 3d editiion.
Other references are available in the Reserve Book Room.

Grading system:

?? on programming assigments.....?? on 3 in-class tests.....?? on the final exam
See the separate sheets on Assignments and Documentation for specific requirements in these areas. These and other useful documents will be available from the course web page at http://www.mathcs.sjsu.edu/faculty/smithj/classes/cs145b Note that this accessible from my home page.
All tests will be open book and open notes.

Topics:

The major course topics will be Machine learning, neural nets, and genetic algorithms (Chapters 13-15), Commonsense & nonmonotonic reasoning (Chapter 7), Natural language processing (Chapter 11).
We will spend roughly 6, 3, and 3 weeks on these areas respectively. The default topic for the remainder of the class (aside from exams and review) is planning and expert systems, although suggestions from class members will be considered.

Collaboration:

The work you turn in should be your own. Do not share your work with anyone else. Please become familiar with the official university policy on academic dishonesty, as stated in the 1998-2000 catalog, pp. 446-47.

Class Attendance:

Class attendance is not required, but is strongly recommended. Beginning one week after the first exam, only documentable compelling reasons will be considered for withdrawal requests.