Mfgs 520
INSTRUCTOR: Dr. Tomas Velasco
Engineering Building A, 307b
(618) 453-7842
TEXT: Textbook & Reference Material
· Artificial
Intelligence: A Modern Approach by Stuart Russell & Peter Norvig, Prentice-Hall,
1995.
· Computer
Aided Design and Manufacturing by F. M. L. Amirouche, Prentice-Hall, 1993.
CLASS: Fall
Tuesday & Thursday; 9:35 - 10:50
ENG A 220
OBJECTIVE:
The purpose of this course is to provide the student with a comprehensive
coverage of advanced techniques used in solving manufacturing problems
from basic principles to state-of-the-art intelligent concepts and applications,
emphasizing techniques such as expert systems, fuzzy logic, artificial
neural networks, and genetical algorithms.
REQUIREMENTS:
Basic knowledge of manufacturing processes, computers and programming.
Major emphasis will be placed on reading and understanding the material
from the class, suggested books and reference material prior to class,
and in homework assigned. I do require class attendance.
GRADING:
· 2
Examinations, each of which counts 20% of your grade.
· Homework and Quizzes which counts 20% of your grade.
· Final paper which counts 20% of your grade
· Final examination which counts 20% of your grade.
OFFICE HOURS:
11:00 to 11:45 a.m. Monday through Thursday, 10:00 to 11:45 Friday;
other hours by appointment.
ACADEMIC CONDUCT:
Cheating on examinations, submitting work of other students as your
own, or plagiarism in any form will result in penalties ranging from an
F on the assignment to expulsion from the university, depending
on the seriousness of the offense.
SCHEDULE:
WEEK TOPIC
1 Introduction
1,2 Computer Aided Manufacturing
3 Advanced Techniques in Manufacturing
4,5,6 Expert Systems in Manufacturing
6,7,8 Artificial Neural Networks
9,10,11 Fuzzy Logic
12,13 Genetic Algorithms
14 Robotics
15 Integrated Computer-Aided Manufacturing Other Topics