ECE X71D ECE 371D Introduction to Neural Networks 3 Hours
3 Lecture Hours 0 Lab Hours
Explore characteristics of artificial neural networks, feedforward networks, and recurrent networks; learning algorithms; self-organization; biological links; and data mining and other applications. Electrical and Computer Engineering 371D and Electrical Engineering 371D may not both be counted. Three lecture hours a week for one semester.
Pre/Corequisites: The following with a grade of at least C- in each: Mathematics 340L or 311; and Biomedical Engineering 343, Electrical and Computer Engineering 313 (or Electrical Engineering 313), or 313H; and Biomedical Engineering 335, Electrical and Computer Engineering 351K (or Electrical Engineering 351K), 351H, or Mathematics 362K.
Grading: Student Option
Repeatable for credit: No
Academic Level: Upper Division