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CS 3361 - Artificial Intelligence
Winter 1998
Todd Griffith
Meeting Place: College of Computing 101
Meeting Time:
- 3:05 to 4:30 pm on Tuesdays and Thursdays
Prerequisites: CS 2360 - Knowledge Representation and
Processing
Instructor : Todd W. Griffith
Bail: griffith@cc.gatech.edu
Phone: 894-6710
Office: College of Computing Building - TA area
Office Hours: 4:30 to 6:00pm on Tuesdays and Thursdays
Office Policy: I am likely to be at the CoC only
during my office hours. The best way to contact me is by email.
Teaching Assistant: Yaxin Liu
Email: yxliu@cc.gatech.edu
Yaxin's Office: CoC Building Rm. 153.
Yazin's Office Hours: Tuesdays and Thursdays 2-3pm
Description
CS 3361 is a 4-credit undergraduate-level introductory
course on Artificial Intelligence (AI). The course will cover basic
AI concepts such as search, knowledge,
representation, memory, inference, and control. In
addition, it will cover selected topics in advanced areas such as
problem solving, understanding, and learning.
Objectives
The main objectives of the course are (i) to provide a basic
survey of AI, (ii) to develop a conceptual understanding of the basic
issues and major topics in AI, and (iii) to develop design skills for
building simple AI systems.
Format
The course will consist of class lectures and discussions,
discussions on the <git.cc.class.3361> newsgroup, reading assignments,
homework assignments, four design projects, and three examinations.
Class notes will be posted on the newsgroup <git.cc.class.3361> and
on a class web page. Class participation too will be important and
is strongly encouraged.
Reading Assignments
- All reading assignments will be from: Artificial
Intelligence: A Modern Approach by Stuart Russell and Peter Norvig,
Prentice Hall, 1995. This is the required text. See the
course schedule for the schedule of expected readings.
- Supplemental AI texts: Artificial Intelligence: E. Rich and K. Knight,
McGraw-Hill, Second Edition; Artificial Intelligence, P. Winston,
Addison-Wesley, Third Edition;Artificial Intelligence, E. Charniak
and D. McDermott, Addison-Wesley.
- Supplemental AI programming texts:Lisp, Winston and Horn,
Addison-Wesley;AI Programming, Charniak, Riesbeck, McDermott and
Meehan, Lawrence Erlbaum;Paradigms of AI Programming, P. Norvig,
Morgan-Kauffman.
Projects
Each of the four design projects will be about two weeks
long. Familiarity with Common Lisp will be assumed. Students will
work on these projects in small rotating groups. Please note that
all projects must be turned in on time. No extensions will be granted
but incomplete projects will be graded for partial credit.
Examinations
There will be two short mid-term examinations and a longer
final examination.
Grades
The first mid-term examination will constitute 15%, the
second mid-term examination will constitute 15%, and the final
examination will constitute 25% of the grade. Each design project
will count for 10% of the grade. Class attendance and participation
will count for the remaining 5%. The raw scores will be normalized
and the final grades will be based on the normalized scores.
Course Schedule
Please check the
course schedule for the class. It may be updated on occassion.
Assignments
Course Notes
- January 8, 1998
Introduction
to Artificial Intelligence
- January 13, 1998 Agents
- January 15, 1998
Problem
Solving
- January 20, 1998
Planning
- January 22, 1998
Logic
,
Rule-Based
Problem Solving
, and
Expert
Systems
.
- January 27, 1998
Case-Based
Reasoning
- February 3 & 5, 1998
Learning
. Bill's learning
slides
.
- February 10, 1998
Low
Level Vision
- February 12, 1998
High Level Vision
- February 17, 1998
Natural Language Syntactic Parsing
- February 19, 1998
Natural Language Semantics
&
Natural Language Pragmatics
- February 24, 1998
Knowledge Representation
- March 3, 1998
Problems in Knowledge Representation
- March 10, 1998: Bill's reflection
slides
.
- March 12, 1998
Philosophical Issues in AI
.
Sample Exams
Todd Griffith
Mon Sep 29 17:53:24 EDT 1997