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Detailed Course Information


Fall 2019 Semester
Aug 02, 2021
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CS 6800 - Application of Information Theory
Introduces information theory and its applications to various computational disciplines. Covers the basic concepts of information theory, including entropy, relative entropy, mutual information, and the asymptotic equipartition property. Concentrates on applications of information theory to computer science and other computational disciplines, including compression, coding, Markov chains, machine learning, information retrieval, statistics, computational linguistics, computational biology, wired and wireless networks, and image and speech processing. The course is self-contained; no prior knowledge of information theory is required or assumed. Requires an undergraduate course in probability.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

Must be enrolled in one of the following Levels:     
Must be enrolled in one of the following Colleges:     
      Khoury Coll of Comp Sciences


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