Intelligent Systems in Engineering Applications

About the Program

This certificate program introduces students to the core concepts of intelligent systems and a broad range of techniques for building, testing and evaluating intelligent systems. Topics include: intelligent system design, training and evaluation, decision trees, rule based systems, Bayesian learning, Support Vector Machines, neural network systems, and fuzzy systems. A variety of application cases will be studied in the courses under this program. (12 credits hours)

The certificate can be completed entirely on campus, entirely online, or through a combination of on-campus and online courses.   

Required Core Courses

Course Descriptions

Complete 3 courses from the following (9 credits):

Learning Goals and Outcomes

  1. Students will have knowledge in the core concepts of intelligent systems and a broad range of techniques for building, testing and evaluating intelligent systems. 
  2. Students will have knowledge in topics such as: intelligent system design, training and evaluation, decision trees, rule based systems, Bayesian learning, Support Vector Machines, neural network systems, and fuzzy systems.  

Admission Requirements

Applicants must possess an undergraduate degree in Electrical Engineering with an overall GPA of 3.0 or higher.

CECS Graduate Education Office

2060/2070 - Professional Education Center
4901 Evergreen Road
Dearborn, MI 48128
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