EE 371D: Introduction to Neural Networks

Characteristics of artificial neural networks, feedforward networks, and recurrent networks; learning algorithms; self-organization; biological links; data mining and other applications. Three lecture hours a week for one semester. Prerequisite: Electrical Engineering 351K and Mathematics 340L with a grade of at least C- in each.

Course Level: 

Undergraduate