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Detailed Course Information

 

Fall 2024 Semester
Nov 21, 2024
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CS 7840 - Foundations and Applications of Information Theory
Studies information theory and selected applications for data management, machine learning, and information retrieval. Information theory examines the transmission, processing, extraction, and utilization of information. Topics include entropy; mutual information; cross-entropy; data processing theorem; information inequalities; Cox's theorem; maximum entropy solutions; and applications such as data normalization, decision trees, maximum likelihood, logistic regression, and VC dimensions. Requires prior study of standard computer science algorithms. Offers hands-on experience through a flexible project, allowing students to explore information theory in aspects related to their PhD research.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

Restrictions:
Must be enrolled in one of the following Programs:     
      PhD Personal Health Informatic
      PhD Cybersecurity
      PhD Cybersecurity Adv Entry
      PhD Computer Science
      PhD Computer Science Adv Entry
Must be enrolled in one of the following Levels:     
      Graduate
Must be enrolled in one of the following Colleges:     
      Khoury Coll of Comp Sciences
Must be enrolled in one of the following Classifications:     
      Graduate

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