From: wagner@lacerta.unm.edu (Lewis Wagner)
Subject: Fuzzy Logic Short Course Announcement
Date: Thu, 20 Aug 92 00:08:42 GMT
Organization: University of New Mexico, Albuquerque

This message is being posted on behalf of Dr. Tim Ross UNM.
_______________________________________________________________

The following is a brochure describing subject short course and
registration.  For additional information, please email me at
ross@ce05.unm.edu.

The University of New Mexico, College of Engineering Presents:

		Hands-On Fuzzy Logic with Hardware and Software Applications.
		A 1992-93 Short Course Calendar

1992 Calendar
Boston, MA		September 15-17
Houston, TX		October 7-9
Phoenix, AZ		December 14-16

1993 Calendar
Dallas, TX		July 7-9
Chicago, IL		June 2-4
Dayton, OH		May 19-21
Denver, CO		August 25-27
Detroit, MI		March 17-19
Kansas City, MO		September 22-24
Los Angeles, CA		February 24-26
Portland, OR		July 21-23
San Antonio, TX		April 21-23
San Diego, CA		August 4-6
San Francisco, CA	June 23-25
Seattle, WA		January 13-15

Objectives:
Participants will gain an understanding of the influence of uncertainty and
interpolative reasoning on physical modeling and control processes, and will
understand the difference between probability and fuzzy models. They will also
explore the tradeoffs between computational cost and precision in engineering
software and hardware designs, generate their own fuzzy expert systems and
fuzzy rule based projects, and generate fuzzy membership functions using
linguistic knowledge, experimental data, or neural networks.

Who Should Attend:
Managers and staff personnel alike with a background in the sciences,
mathematics, or engineering, from industries interested in improving existing
binary-logic based products and processes with the interval-logic based
algorithms available with fuzzy logic.

Prerequisite:
Anyone with a technical background will be quite comfortable with the course
content. Students should be familiar with the basic ideas of set theory and
simple predicate logic, but these are not absolutely required since a review
of these subjects will be provided. 

Registration Information:
The course fee is $795.00. This fee covers all course materials including a
course notebook and various software programs to be used in the hands-on
exercises. A UNM Continuing Education Units (CEUs) certificate is available.
A textbook for the course, Fuzzy Logic and Control: Software and Hardware
Applications, (Prentice Hall, 1992) is available for an additional $50.00.
A ten percent discount is available for multiple registrations received from
the same company.

Cancellation Policy:
If cancellation of registration is necessary, you must notify our office at
least 10 calendar days before a course begins in order to receive a full
refund. No refund will be made if less than 10 days notice is received.
However, substitute attendees are acceptable, as is transference of the course
fee to another Hands-On Fuzzy Logic short course.

Course Topics
    Day 1
	Introduction and Review of Set Theory
	Fuzzy Sets, Fuzzy Numbers, and Fuzzy Arithmetic
	Classical and Fuzzy Relations
	Predicate Logic, Fuzzy Logic, Approximate Reasoning
    Day 2
	Natural Language and Membership Functions
	Fuzzy Measures: Evidence, Probability, and Possibility
	Fuzzy Nonlinear Simulation and Fuzzy Expert Systems
	Fuzzy Control Systems
    Day 3
	Fuzzy Classification
	Fuzzy Pattern Recognition
	Fuzzy Decision Making
	Case Studies in Fuzzy Hardware and Software
	Typical Hands-On Exercises
	Basic Set Operations
	Fuzzy Lamda-cuts
	Fuzzy Relations
	Fuzzy Composition
	Fuzzy IF-THEN Rules
	Fuzzy Expert System Example
	Fuzzy Process Control Example
	Fuzzy Nonlinear Mathematical Equation Example
	Fuzzy Classification Example on Fruit Genetics
	Fuzzy Pattern Recognition Problem on Earthquake Damage Assessment
	Fuzzy Decision-Making Problem on Industrial Plant Expansion

Companies That Have Benefited From Our Training:
	Carrier Corporation Syracuse, NY
	United Technologies Automotive, Dearborn, MI
	General Electric, Lynn, MA
	Honeywell, Albuquerque, NM
	Los Alamos National Laboratory, Los Alamos, NM
	New Mexico State Highway Dept., Santa Fe, NM
	Ovak Ajax Inc., York, SC
	Phillips Laboratory, Kirtland Air Force Base, NM
	Sandia National Laboratories, Albuquerque, NM
	Southwest Research Institute, San Antonio, TX
	Technical-Vocational Institute, Albuquerque, NM
	Texas Instruments, Stafford, TX
	Thomson Consumer Electronics, Syracuse, NY
	University of New Mexico, Albuquerque, NM

INSTRUCTORS:
Dr. Timothy Ross is an Associate Professor of Civil Engineering and Director
of the Environmental Scanning Electron Microscope Laboratory at the University
of New Mexico. He received his PhD from Stanford University. He is the founding
Co-editor-in-Chief of the new John Wiley journal, Intelligent and Fuzzy
Systems: Applications in Engineering and Technology. He has authored over 80
publications in the areas of risk assessment, expert systems, failure of
brittle materials, computational methods, micromechanics; of these
publications, 25 are in fuzzy logic. He is co-editor of a new book for Prentice
Hall, Fuzzy Logic and Control: Software and Hardware Applications. He is a
member of ASCE and is currently writing a textbook on the subject of Fuzzy
Logic based on his course at the University of New Mexico.

Dr. Mo Jamshidi is the AT&T Professor of Electrical and Computer Engineering
and Director of the Computer- Aided Design Laboratory for Intelligent and
Robotic Systems at the University of New Mexico. He received his PhD from the
University of Illinois. He is Co-editor-in-Chief of the new John Wiley journal,
Intelligent and Fuzzy Systems: Applications in Engineering and Technology. He
has over 235 technical publications in the areas of robotics, control theory,
and intelligent systems. He has edited or authored 23 books, including the
recent Fuzzy Logic and Control: Software and Hardware Applications (Prentice
Hall). He is founding editor or editor of five periodical publications and is
on several editorial boards. He is a Fellow of IEEE and member and consultant
to numerous professional organizations.

Mr. Nadir Vadiee is a research assistant at the Computer-Aided Design
Laboratory for Intelligent and Robotic Systems at the University of New Mexico.
With over 17 years of teaching and research experience at engineering schools,
he has designed and conducted various short courses in the field of intelligent
control, and conducts research and teaching in robot control, neural networks,
and fuzzy logic control. His PhD dissertation at the University of New Mexico
is on Cognitive Systems in Integrated Neuro-Fuzzy Architecture for Nonlinear
Control and System Identification. He is co-editor of a new book for Prentice
Hall, Fuzzy Logic and Control; Software and Hardware Applications, and is a
member of IEEE.

Previous Student Comments:

"This course is highly recommended to co-workers."
Lance Ellsworth, Honeywell

"I was impressed with both the quality and the organization of the workshop. I
thought the demonstrations were very helpful; good job!"
Tim Cooley, Sandia National Laboratories

"A strong point of the course was the comparison of these new approaches to
traditional treatments"
Gary Cable, Air Force Phillips Laboratory

"Good coverage of the subject."
Robert O'Bryan, Intel Corporation

"A wealth of technical expertise in the room, no question went unanswered;
good demonstrations"
Paul Sayka, Los Alamos National Laboratory

"Enthusiastic presenters who view their subject with humor and optimism."
Elsie Sandford, Los Alamos National Laboratory

"The content of this course was excellent; good mix of theory and practical
implementation. I learned a lot about fuzzy logic in a short time."
Rebecca Horton, Sandia National Laboratories

"Overall, this was an excellent course in the fundamentals of fuzzy logic. I
recommend this course to anyone interested in learning the subject."
Ed Flaherty, Texas Instruments

				REGISTRATION
				Cost: $795.00

Hands-On Fuzzy Logic - Please Indicate the Date and Location of the Short
Course You Will be Attending

Name __________________________________	Work Phone ______________________

Title _________________________________	Fax No.	_________________________

Company	_________________________________________________________________

Company Address	_________________________________________________________

City _________________________________________ State____ Zip_____________ 

Short Course Location__________________________ Short Course Date________

3 Ways To Register:

	1. Fax to 505-277-0813
	2. Mail to :
		University of New Mexico
		College of Engineering
		Professional Engineering Development, Workshop Programs
		Farris Engineering Center, Room 131
		Albuquerque, NM  87131-1387
	3. Call UNM College of Engineering:  505-277-0435 or 1-800-292-7051

Newsgroups: comp.ai