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This class has finished as of 2005. Please go to the current semester's website at http://www.comp.nus.edu.sg/~cs3243 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
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.
- Modular credits: 4.
- Prerequisites: (CS 1102 Data Structures and Algorithms)
and (CS 1231 or CS 1231S Discrete Structures). Exceptions to these
pre-requisites can be made on a case-by-case basis only.
See instructor for details.
- Instructor: Min-Yen Kan, <firstname.lastname@example.org>.
Office: S15 05-05 (x1885). Office hours (before class) on Thursdays.
12:00-14:00, or by appointment. Emails to me as a default are assumed
to be public, and my replies and your anonymized email will likely be
posted to IVLE. Please let me know if you do not want the
contents of your email posted; I will be happy to honor your requests.
- Workload: (2-1-0-3-3) 2 lecture hours, 1 tutorial hour, 3
hours for assignments, and 3 hours preparation per week.
- Textbooks: Our textbook will be the same textbook as last
semester. You can buy it from your seniors for it or from the NUS
Co-op. Make sure you get the second edition textbook (it varies
greatly in material from the first edition). Copies are also on
reserve (RBR) at both the Science Library and the Central Library:
- Stuart Russell and Peter Norvig (2003) Artificial
Intelligence: A Modern Approach, Prentice Hall, 2nd
Edition. [ Check LINC for book ]
- Tutorial Sessions (in SOC 1, #05-45): These are the
final tutorial sections, the others were cancelled due to low
enrollment: Tues (1) 14:00-15:00, (2) 15:00-16:00, (3) 16:00-17:00
- Final Exam: Tuesday, 26 April 2005 (SR 1 S16 / 1-3 pm). The exam
is closed book with one allowed A4 sheet (double sided) with notes.
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!
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