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. (Also offered as Computer Science 250. Students cannot receive credit for both courses.) Prerequisite(s): Computer Engineering 107, or Applied Mathematics and Statistics 131 or equivalent course, or permission of instructor. H. Sadjadpour

5 Credits

YearFallWinterSpringSummer
2017-18
2016-17
2015-16
2014-15
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
2010-11
2009-10
2008-09
  • Section 01
    Hamid R Sadjadpour (hamid)
    Telecast to SVC
2007-08

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.