S03 MCS 6513 Advanced Topics in Intelligent Systems
Chan-Jin Chung
Lawrence Technological University
Math and Computer Science Department
Credit Hours: 3
Prerequisite
: MCS 5503
Introduction to Intelligent Systems
Lecture Room:
S217 and CW21
Lab. : Robotics Lab
(CW21) for Robotics Project;
Instructor: Chan-Jin Chung, Ph.D.
- Office Room: Science 112
- Phone: (248) 204-3504
- Fax: (248) 204-3518 (this fax number is for
the whole building and senders
should be sure to place instructor's name on the fax)
- Dept. Secretary: (248) 204-3560
- Math/CS Drop Box: in front of S120 door.
- Email: CHUNG at ltu.edu
- LTU webpage at http://www3.ltu.edu/~chung (syllabus, announcements, lecture notes, etc.)
- Blackboard at my.ltu.edu
- Office Hours: check out www3.ltu.edu/~chung and click
on Office Hours
Required Text
- Artificial Intelligence: A
Guide to Intelligent Systems, Michael Negnevitsky, S352 pages 1st edition
(September 15, 2001) Addison Wesley Publishing; ISBN: 0201711591,
downloads from book website
Recommended Text:
- Artificial Intelligence: A New Synthesis, ISBN
1-55860-467-7, March 1998, Nils J. Nilsson
- Artificial Intelligence, 3/e, 1992, 750 pp., ISBN, 0-201-53377-4, Patrick Henry Winston, Massachusetts Institute of
Technology
-
Computer Vision and Fuzzy Neural Systems, by Arun D. Kulkarni, Prentice Hall, 2001,
ISBN: 0 - 13 - 570599 - 1
Course Objectives
- This course provides methods and techniques to build adaptable intelligence systems
in depth.
- Applying advanced theories and techniques to
the development of practical Intelligent Systems as class
projects
- To plan MSCS capstone project I and II
- Publishing papers for CEC 2003
Class Projects
- April 26, Robofest 2003 - "Laptop Robot Race" in the Field House
- May 6, IGVC pilot competition on the LTU ground
- Individual Projects
- 2D, 3D design optimization
- EANN
-
Symbol Sequence Recognition
- Intelligent Web Applications
- Data Mining
- Digital Neuron and softcomputing
- Genetic Programming Framework
- etc.
Tentative Schedule (See also
"Topics and Schedule")
Date |
Event |
Note |
1-14 |
First Day of Class
|
|
3-11 |
No Class
|
Spring Break |
3-25 |
Midterm |
5:45-7:00pm
|
4-11 |
Last Day for W
|
|
4-25 |
Laptop Robot Race Practice in the gym
|
Friday 3:00pm- |
4-26 |
Laptop Robot Race during Robofest 2003
|
Sat. |
5-6
|
IGVC
|
on LTU ground |
5-9
|
IGVC robot report due
|
|
Grading:
Total 200 points
- Midterm: 30 points
- Individual Projects: 20 points
- Homeworks: 30 points
- Laptop Robot Race: 60 points
- IGVC: 60 points
This score will be translated into a letter grade based upon the
percentages given below.
A |
90-100% |
C+ |
75-78% |
A- |
89% |
C |
70-74% |
B+ |
85-88% |
C- |
69% |
B |
80-84% |
|
|
B- |
79% |
|
|
No I (incomplete) grade will be given.
Policy on late homework or project
- Full credit at the beginning of class on the due date
- 10% deduction per day (24 hours)
Intellectual Property and
Copyrights
All the
deliverables may be reused/modified/upgraded by another students and/or
instructor later on for educational purposes only. The instructor will make sure
to give appropriate credits and acknowledgements to the previous
students.
Copyright by Chung (c)
2003