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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