[ IVLE ]

[ >Overview ]
[ Syllabus ]
[ Grading ]
[ Homework ]
[ Misc. ]

This class has finished as of 2005. Please go to the current semester's website at for current class details. This website is maintained for reference only.

We will be using the Integrated Virtual Learning Environment (IVLE) for forum discussions, announcements, and other temporally-sensitive materials. Basic course administration, lecture and tutorial notes will be available on this publicly-accessible webpage.

Module Description (excerpted from the bulletin): The module introduces the basic concepts in search and knowledge representation as well as to a number of sub-areas of artificial intelligence. It focuses on covering the essential concepts in AI. The module covers Turing test, blind search, iterative deepening, production systems, heuristic search, A* algorithm, minimax and alpha-beta procedures, predicate and first-order logic, resolution refutation, non-monotonic reasoning, assumption-based truth maintenance systems, inheritance hierarchies, the frame problem, certainly factors, Bayes' rule, frames and semantic nets, planning, learning, natural language, vision, and expert systems and LISP.

Course Characteristics:

Note to NUS-external visitors: Welcome! If you're a fellow A.I. course instructor looking for lecture material, you can see the syllabus menu item on the left for a preview. Please contact me if you'd like to use any of my material. Thanks!

Min-Yen Kan <> Mon Dec 6 10:01:55 GMT-8 2004 | Version: 1.0 | Last modified: Tue Oct 16 14:21:24 2007