CIS 525. Neural Computation

Section 001. Fall 2005

Syllabus

Instructor

Dr. Pei Wang
OFFICE: Room 1000X, Wachman Hall (Computer Activity Building)
ADDRESS: CIS Department, Temple University, Philadelphia, PA 19122
PHONE: (215)204-9255
EMAIL: pei.wang@temple.edu

Day/Time

Lectures: Tuesday 4:40 PM - 7:10 PM (Tuttleman Learning Center 403B)
Office Hours: Tuesday & Thursday, 11:40 AM - 1:10 PM; Tuesday 3:00 PM - 4:30 PM; and by appointment

Prerequisites

Stat 503 or (CIS 511 and undergraduate level understanding of probability, statistics, and linear algebra).

Course Description

Neural networks provide powerful techniques to model and control nonlinear and complex systems. The course is designed to provide an introduction to this interdisciplinary topic. The course is structured such that students from computer science, engineering, physics, mathematics, statistics, cognitive sciences and elsewhere learn the main principles of this area as well as to have an opportunity to explore promising research topics by a hands-on experience with neural network simulators applied to classification and prediction problems ranging from bio-medical sciences to finance and business.

Grading

All of the above must be the student's own work. Plagiarism and academic cheating will be punished.

Attendance

Attendance to all lectures are required.

Reading Materials

Required: Neural Networks: A Comprehensive Foundation, 2nd Edition, Simon Haykin, Prentice Hall, 1999. ISBN 0-13-273350-1

Recommended: MATLAB Student Version

Additional: On-line materials linked from the course webpage and lecture notes.

Lab Software

MATLAB

Schedule

See course website at http://www.cis.temple.edu/~pwang/525-NC/CIS525.htm

Disability Disclosure Statement

Any student who has a need for accommodation based on the impact of a disability should contact me privately to discuss the specific situation as soon as possible. Contact Disability Resources and Services at 215-204-1280 in 100 Ritter Annex to coordinate reasonable accommodations for students with documented disabilities.