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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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