- Schedule of Classes - June 25, 2020 7:14PM EDT
- Course Catalog - June 25, 2020 7:15PM EDT
Course information provided by the Courses of Study 2019-2020.
This is a graduate-level introduction to mathematics of information theory. We will cover both classical and modern topics, starting from f-divergences, information measures and relations between then. With these tools we will study the fundamental limits of data transmission over noisy channels. Wiretap channels, where information-theoretic security versus a malicious eavesdropped must be ensured, will also be covered. Passive and adversarial models will be considered. Finally, we will explore connections between information theory and machine learning, examining how they can cross-fertilize each other.
When Offered Spring (not offered every year).
Prerequisites/Corequisites Prerequisite: ECE 4110 or equivalent.
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- TRUpson Hall 206
- Jan 21 - May 5, 2020
Instruction Mode: Hybrid - Online & In Person
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