CSCI 784 Neural Networks - Spring 1998
Course Description
CSCI 784--Neural Information Processing. Mathematical foundations of
biological and artificial neural networks, supervised and
unsupervised systems, application areas.
Topics
- Introduction
- Perceptrons
- Adaptive Filters
- Multi-Layer Perceptrons
- Radial Basis Function Networks
- Principal Components Analysis
- Self-Organizing Feature Maps
- Information-Theoretic Models for Self-Organization
- Neuro-Dynamic Programming
- Neurodynamics
- Case Studies
The course textbook is
Neural Networks: A Comprehensive Approach
by Simon Haykin published by Prentice
Hall. The textbook is required. Classnotes and handouts for
the course will be made available
on line via this course index page.
General Information
- Instructor: Manton Matthews
- Office: Sumwalt 206B
- Phone: 777-3285
- Office Hours: 10:00-11:00 MWF (others by appointment)
Important Dates
| Date |
Significance |
| February 12 |
MidTerm |
| February 20 |
Last "W" withdrawal date |
| March 9-13 |
Spring Break |
| March 31 |
MidTerm II |
| Apr 28 |
Reading Day |
| May 5 |
Final Exam |
Homework Policies
Homework assignments are due in class
the Tuesday after they are assigned
unless explicitly stated otherwise.
Homework is worth full credit when turned in at the beginning
of the class on the due date.
A 10% penalty per day will be assessed on late assignments.
Solutions to assignments will be posted to the Web a week after the due date.
Graded homeworks will also be returned at this time.
No submissions will be accepted after the solutions have been posted.
Grading
- Midterms 35%
- Final 25%
- HW assignments 40%
Grades and other performance statistics
will be hopefully be available on the Web.
If that mechanism is not functioning alternative electronic
means will be used to release this information.
If you believe we have made an error in
grading your homeworks or exams, please bring the matter to my attention
as soon as possible .
Academic Integrity
The homework you submit for this class is expected to be entirely
the work of yourself and your homework partner.
You may discuss the homework with your partner,
but then you should write up your solutions on your own.
If this policy is not absolutely clear, then please contact me.
Any other collaboration of any type on any assignment is not permitted.
It is also your responsibility to protect your work
from unauthorized access.
You are reminded that you are expected to know and follow the academic
code of responsibility that appears in
Carolina Community: Student
Handbook & Policy Guide,
(Link to actual page)
In particular all work submitted
for this course must be your own. Violations of this code can result in
actions varying from a failing grade to expulsion from the university.
Course Index Page |
Schedule
URL = http://www.cs.sc.edu/~matthews/Courses/784/FrontPage.html