EE253: Introduction to Information Theory

*****COURSES ARE SUBJECT TO CHANGE*****

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
2018-19			Section 01 Yu Zhang (yzhan419) Section 50 Yu Zhang (yzhan419)
2017-18	Section 01 Hamid R Sadjadpour (hamid) Section 50 Hamid R Sadjadpour (hamid)
2016-17		Section 01 Hamid R Sadjadpour (hamid) Section 50 Hamid R Sadjadpour (hamid)
2015-16	Section 01 Hamid R Sadjadpour (hamid) Section 50 Hamid R Sadjadpour (hamid)
2014-15	Section 01 Hamid R Sadjadpour (hamid) Section 50 Hamid R Sadjadpour (hamid)
2013-14	Section 01 Hamid R Sadjadpour (hamid) Will be telecast to SV Section 50 Hamid R Sadjadpour (hamid) SV telecast section
2012-13	Section 01 Hamid R Sadjadpour (hamid) Telecast to SV Section 50 Hamid R Sadjadpour (hamid) SV Telecast
2011-12		Section 01 Hamid R Sadjadpour (hamid)
2010-11	Section 01 Hamid R Sadjadpour (hamid)
2009-10		Section 01 Hamid R Sadjadpour (hamid)
2008-09		Section 01 Hamid R Sadjadpour (hamid) Telecast to SVC
2007-08		Section 01 Hamid R Sadjadpour (hamid)

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