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Sys Eng 5212: Introduction to Neural Networks and Applications

The course provides an introduction to basic neural network architectures and their applications. Students learn to construct neural networks and train them to solve engineering problems, specifically pattern recognition and function approximation. Mathematical analysis of network architectures, training algorithms and practical applications of neural nets.(Co-listed with Elec Eng 5370)
Additional Info:

SysEng5212/ElecEng5370-Course Outline


Time/Day: 07:00 PM - 09:30 PM T
Prerequisites: : Graduate Standing.
Units: 3
Course Component(s): Lecture

Attention Distance Students

For classes produced by I.T. MediaServices: Access to live and archived media will be available in MediaSpace at mst.mediaspace.kaltura.com or in Panopto at mst.hosted.panopto.com. For more information email itms@mst.edu.
For other course content: please contact your instructor.

Enrollment Information
Campus Delivery Mode Class Status Class Nbr Section
Distance Education Internet OPEN 71851 1DIS

Course Access Information
Learning Management System Canvas