Course Description
Pre-Requisite(s):
two years of college-level mathematics including discrete probability, or consent of instructor
A comprehensive treatment of information theory and its application to channel coding and source coding. Topics include the nature of information and its mathematical description for discrete and continuous sources; noiseless coding for a discrete source; channel capacity and channel coding theorems of Shannon; error correcting codes; introduction to rate distortion theory and practice of data compression; information and statistical measures.
Looks like this course isn't being taught this semester.
Sort by "All" in the top right to see previous semesters.
