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Detailed Course Information


Spring 2014 Semester
Jun 21, 2018
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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. Prereq. CS 5800; restricted to students in the College of Computer and Information Science.
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:     
      Coll of Computer & Info Sci

Graduate level CS 5800 Minimum Grade of C- or Undergraduate level CS 5800 Minimum Grade of D-

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