Course Number
525.770
Next Offered
Spring 2024
Primary Program
Electrical and Computer Engineering
Location
Online
Course Format
Online

Intelligent algorithms are, in many cases, practical alternative techniques for tackling and solving a variety of challenging engineering problems. For example, fuzzy control techniques can be used to construct nonlinear controllers via the use of heuristic information when information on the physical system is limited. Such heuristic information may come, for instance, from an operator who has acted as a “human-in-the-loop” controller for the process. This course investigates several concepts and techniques commonly referred to as intelligent algorithms; discusses the underlying theory of these methodologies when appropriate; and takes an engineering perspective and approach to the design, analysis, evaluation, and implementation of Intelligent Systems. Fuzzy systems, genetic algorithms, particle swarm and ant colony optimization techniques, and neural networks are the primary concepts discussed in this course, and several engineering applications are presented along the way. Expert (rule-based) systems are also discussed within the context of fuzzy systems. An intelligent algorithms research paper must be selected from the existing literature, implemented by the student, and presented as a final project. Prerequisite(s): Student familiarity of system-theoretic concepts is desirable.

Course Offerings

Waitlist Only

Intelligent Algorithms

525.770.81
01/22/2024 - 05/07/2024
Semester
Spring 2024
Course Format
Online
Location
Online
Cost
$5,090.00
Course Materials
Open

Intelligent Algorithms

525.770.82
01/22/2024 - 05/07/2024
Semester
Spring 2024
Course Format
Online
Location
Online
Cost
$5,090.00
Course Materials