ECE 5120

Artificial Neural Systems I
Fall 03
Room: ?????

M & W: 5:30 - 7:20 pm
Section: 15845

Official WSU Bulletin Data:

ECE 512: Artificial Neural Systems I. Credits 4. Prereq: ECE 433. Introduction to the theory, architecture, and application of artificial neural systems. Supervised, unsupervised, and reinforcement learning in single and multiple layer neural networks. Associative neural memory recording, and retrieval dynamics. Self-organizing maps. Learning capacity and generalization.

Prerequisites by Topic:

1. Linear algebra and matrix computations.
2. Linear differential and difference equations.
3. Linear system analysis.

Textbook: Fundamentals of Artificial Neural Networks, Mohamad H. Hassoun (MIT Press, 1995). Will cover selected sections from Chapters 1 - 7.

Faculty: Mohamad H. Hassoun, Professor
Office: 3127 Engineering Bldg.
Telephone: 577-3966
Office Hours: M & W, 4:30  - 5:20 (or by appointment)


Grading Policy:
Homework:                 40%
Midterm exam:           30%
Final Exam:                30%

There could also be optional extra-credit assignments which will help students accumulate extra points on Exams.

The “News” link is available for you to check important dates and announcements regarding this course. Please make sure you check it on a regular basis.