An introduction to information theory including topics such as entropy, relative entropy, mutual information, asymptotic equipartition property, channel capacity, differential entropy, rate distortion theory, and universal source coding. Prerequisite(s): Computer Engineering 107, or Applied Mathematics and Statistics 131 or equivalent course, or permission of instructor.
5 Credits
Year
Fall
Winter
Spring
Summer
2022-23
Section 01
Yu Zhang (yzhan419) x-listed with ECE 253
While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.