Artificial Intelligence: Technologies for Smart Systems Design
Warren T. Jones, Ph.D., P.E.
(AI) techniques are now being applied in many branches of engineering to solve
problems and to provide intelligent interfaces for systems and equipment. This
course provides an introduction to the four major AI techniques of rule-based
expert systems, neural networks, genetic algorithms and fuzzy logic as well
as pointers to web resources and books for further reading. In addition, the
emerging technologies of soft computing and chat bot agents are discussed. The
synthetic character embodiments of these agents are attracting increasing attention
since there is evidence that the right character choice can increase the website
This course includes a multiple-choice quiz at the end, which is designed to enhance the understanding of the course materials.
At the conclusion of this three-hour course, the student will:
This course is
intended for all engineers.
Smart system design expertise is becoming increasingly important for all branches of engineering. Knowledge of the artificial intelligence techniques that enable the embedding of smart systems components provides the opportunity to include additional capabilities and efficiencies in engineering systems. The four AI technologies of expert systems, neural networks, genetic algorithms and fuzzy logic have been successfully applied to a wide variety of engineering problems. Some examples are the following: monitoring coal combustion efficiency, packet transmission optimization, fault diagnosis of complex circuit boards, chemical process fault diagnosis, selection of bridge deck joints, crisis management in electrical power systems and optimizing traffic control. This course provides an introduction to these four AI technologies as well as the emerging technologies of soft computing and chat bots.
The course content is in a PDF file (762 K) Artificial Intelligence: Technologies for Smart Systems Design. You need to open or download above documents to study this course.
You need to open or download these documents to study this course.
Module #1: Introduction
Module #2: Rule-based Expert Systems
Module #3: Neural Networks
Module #4: Genetic Algorithms
Module #5: Fuzzy Logic
Module #6: Emerging AI Technologies
technologies have found increasing engineering applications in real-life industrial
situations. Many organizations have been successful in using intelligent systems
in their day to day operations. This course has presented a basic introduction
to four of the most popular artificial intelligence techniques of expert systems,
neural networks, genetic algorithms and fuzzy logic together with a discussion
of the emerging AI technologies of soft computing and chat bot agents.
Once you finish studying the above course content, you need to take a quiz to obtain the PDH credits.