INFSCI 2410 INTRODUCTION TO NEURAL NETWORKS
Introduces mathematical and computer techniques used in constructing models of information processing by parallel distributed processing (PDP) networks; principles of input-output functions and adaptation (learning) functions in single units and in networks; examines the relation between PDP networks, neurobiology, artificial intelligence, and cognition.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PROG: School of Information Science or Sch Computing and Information; PLAN: Excluded Plans = Library & Information Science (MLIS, PHD, CERT-Advanced)
Minimum Credits: 3
Maximum Credits: 3
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|25684 (1250)||W||3:00 pm - 5:50 pm||CRAWF 169||P. Munro||LEC|
|23616 (1210)||Th||3:00 pm - 5:50 pm||IS 403||P. Munro||LEC|