Crosslisted and part of:
ECE578 / ME578 / CS578 / Neuroscience/ Nuclear Eng. Programs

Neural Networks Design
(UI spring schedule and to get enrolled here)

Our 1st session will be on the 10th of January!!

Visit this page often for updates!

Spring 2008
class period: Tue/Thu 1:30pm–2:45pm mdt (2:30–3:45pm pdt)
 office hours (please make an appointment): Tue/Thu 1:30pm–2:45pm mdt (2:30–3:45pm pdt)

Offered: 
1. Idaho Falls live (CHE 301)
2. Moscow (through Compressed Video - room TBD)
3. Through Engineering Outreach (tapes/DVDs)
4. Blackboard


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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 2007.

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
1776 Science Center Drive, TAB Ste.#333,
Idaho Falls, ID 83402;
ph. direct: 208.282.7845; fax:208.282.7950;
email: misko@uidaho.edu
url: http://www.cs.uidaho.edu/people.html
url: http://husky.if.uidaho.edu
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  • Important links
    • Idaho Falls students:
      • Register for the course at the ISU/UI website: http://my.isu.edu/direct (Index Number UCS 504, and choose either 292720 or 292750)
        • INL employees: Fill out the INL Form 360.03A in Lotus Notes
    • UI academic schedule and to get enrolled click here.
    • Various links on:
      • UI courses, schedule, academic calendars, how to get enrolled, libraries, tutoring and academic assistance programs, disability support services, and many others.
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  • Textbook
    • This course is a compilation of large number of books. It is very hard to choose a single textbook that would cover them all. I will go through each of these books in our first class.
    • Texbooks:
      • Simon Haykin, "Neural Networks: A Comprehensive Foundation",
        • 3rd edition (May 1, 2007), Publisher: Prentice Hall; ISBN-10: 0131471392, ISBN-13: 978-0131471399
        • 2nd edition (July 6, 1998), Publisher: Prentice Hall; ISBN-10: 0132733501, ISBN-13: 978-0132733502
      • Robert J. Schalkoff, "Artificial Neural Networks" co-published by MIT Press and the McGraw-Hill Companies 1997, ISBN: 0-07-057118-X.
    • Reference books:
      • Jacek M. Zurada, "Introduction to Artificial Neural Systems" - West Publishing Company 1992, ISBN: 0-314-93391-3 or 053495460X (hardcover), and 8172242662 (paperback).
      • Hagan, H. Demuth, M. Beale, "Neural Network Design", Martin Hagan , 2002, ISBN-10: 0971732108, ISBN-13: 978-0971732100
      • Christopher M. Bishop, "Neural Networks for Pattern Recognition",
        Publisher: Oxford University Press, USA (January 18, 1996) , ISBN-10: 0198538642, ISBN-13: 978-0198538646
      • James A. Anderson, "An Introduction to Neural Networks" (Hardcover), Publisher: The MIT Press (March 16, 1995), ISBN-10: 0262011441, ISBN-13: 978-0262011440
    • Books related more towards applications:
      • ed. by Ian Cloete & Jacek M. Zurada, "Knowledge-Based Neurocomputing", The MIT Press, 2000, ISBN: 0-262-03274-0.
      • ed. by Emile Aarts, J.K.Lenstra, "Local Search In Combinatorial Optimization", John Wiley & Sons, 1998, ISBN: 0-471-948-225.
      • ed. by D.B. Fogel, C.J. Robinson, "Computational Intelligence", John Wiley & Sons, IEEE Press, ISBN: 0-471-27454-2.
      • Hagan, H. Demuth, M. Beale, "Neural Network Design", PWS Publishing Company 1995, ISBN: 0-534-94332-2
    • In addition, an extensive reference material can be found at my list of references on neural networks , intelligent control , and data mining . This is also a good place to start when you start working on your project/research paper
    • Possible sources for textbook on internet: half.com, bestwebbuys.com, bookarea.com , dealtime.com , amazon , etc.
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  • Course Material
    • Class notes click here (passw. req.)
    • Homework & Exam assignments click here (passw. req.)
      • At the end of the course, please complete the evaluation for this course on Banner: https://vandalweb.uidaho.edu/index.htm/
      • Homework should be sent to misko@uidaho.edu with the following subject: "[ECE578] HW1 Family_name" for homework number 1, "[ECE578] HW2 Family_name" for homework number 2, etc. Attachments in doc, PDF, or ps format are welcome. Please compile your results into a single file only.
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  • Questions
    • FAQ's page
    • SUBJECT LINE: Please, use [ECE578] Family_name Question. I might be receiving over 100 emails a day. If you do not want yours to get lost, please always double check your subject line. If urgent response is needed, please use [ECE578] URGENT Family_name Question.
    • SIGNATURE: Please, sign your email with Family_name, First_name Middle_name, Stud_ID: xxx-xxxxx, Live/CV/DVDs, course section. Some of the names are fairly similar, and this way we will avoid confusion and facilitate faster correspondence.
  • Grades
    • You can check your grades here. (passw. req.)
    • IMPORTANT: To be assigned a password, send me an email to misko@uidaho.edu with following information: full name, student ID, Live/CV/DVDs, course section, email, and mailing address that you want to be used for sending graded assignments.
    • NOTE: Please be aware that the correct mailing address needs to be updated on Banner too! Also, please note that starting July 1, 2003, the only official email account is your VandalMail account. Please note that I will not be replying to any other account such as yahoo, hotmail, etc.
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