Catalog data:
Course title: ECE 578 Neural Network Design (3 cr)
Topics: Same as CS578 & ME 578 & Neuroscience. Introduction to neural networks and problems that can be solved by their application; introduction of basic neural network architectures; learning rules are developed for training these architectures to perform useful functions; various training techniques employing the learning rules discussed and applied; neural networks used to solve pattern recognition and control system problems. Prereq: perm. Graduate standing or instructor permission. 

One of the uniqueness of this course is that it is popular among five different departments. In addition to being cross-listed among ECE, ME, and CS departments, it is also a suggested elective for Neuroscience program, and also part of Nuclear Engineering program.

This course was offered last time in Spring 2009.

We will talk about artificial neural networks as universal approximators and classifiers. We will cover various learning (training) algorithms for different applications such as object (face, image, handwriting) recognition, guidance of aerial/underwater unmanned vehicles, robotics problems, intelligent control, in general, systems capable of learning and making intelligent decisions on their own. At the end of the course, we will also cover fuzzy systems for similar applications.

Class description (pdf)
Class policy (pdf )

Instructor:
Milos Manic, Ph.D.
University of Idaho

UIIF College of Engineering at IF, UIIF CS Dept
Mailing Address:
1776 Science Center Drive, TAB Ste.#303,
Idaho Falls, ID 83402
Office:
CAES (Center for Advanced Energy Studies)
995 University Boulevard, Office # 282
Idaho Falls, ID 83415

ph. direct: 208.533.8122; fax:208.282.7950;
email: misko@uidaho.edu
url: http://www.cs.uidaho.edu/Faculty/Manic.html
url: http://husky.if.uidaho.edu