INFSCI 2120 INFORMATION AND CODING THEORY

Includes measures of information, information sources, joint and conditional uncertainty, noiseless and deterministic channels, reliable messages through unreliable channels, channel capacities, properties of codes, minimal codes, and error-detecting and error-correcting codes. Examines entropy as a measure of semantic content.

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