CATALOG DATA:
This course will introduce seniors and beginning graduate students to a unified view of the aerospace and mechanical engineering applications of intelligent systems theory and practice.TEXTBOOK:
none.GOALS:
This course is designed to (a) provide a mathematical background of nonlinearity and complexity in systems theory, (b) teach the science of soft computing, (c) provide experience in laboratory experiments and in the use of microprocessors.PREREQUISITES:
Senior Standing.Topics:
- Introduction
- Systems theory
- Artificial neural networks
- Fuzzy logic
- Genetic algorithms and programming
- Expert systems
- Hybrid methods
- Microprocessor hardware and software
- Applications
ABET category content as estimated by faculty member who prepared the course description:
Math/Basic Science: 1.0 credits or 33%
Engineering Science: 1.0 credits or 33%
Engineering Design: 1.0 credits or 33%
Prepared by: Professor Mihir Sen
Last Update: April 6, 2004
Direct comments, questions, and corrections to amedept@nd.edu