Course Number
605.647
Next Offered
Spring 2026
Primary Program
Location
Online
Course Format
Online - Synchronous
This course provides an introduction to concepts in neural networks and connectionist models. Topics include parallel distributed processing, learning algorithms, and applications. Specific networks discussed include Hopfield networks, bidirectional associative memories, perceptrons, feedforward networks with back propagation, and competitive learning networks, including self-organizing and Grossberg networks. Software for some networks is provided. Prerequisite(s): Multivariate calculus and linear algebra.
Course Offerings
Open
Neural Networks
605.647.8VL
08/27/2025 - 12/03/2025
Wed 7:20 p.m. - 10:00 p.m. |
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Open
Neural Networks
605.647.8VL2
08/26/2025 - 12/09/2025
Tues 7:20 p.m. - 10:00 p.m. |
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Open
Neural Networks
605.647.81
01/20/2026 - 04/27/2026
|
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Open
Neural Networks
605.647.82
01/20/2026 - 04/27/2026
|
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Open
Neural Networks
605.647.83
01/20/2026 - 04/27/2026
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