EECS 242 Information Theory (2012-2013)

EECS 242 Information Theory

(Not required for any major.)
Catalog Data:

EECS 242 Information Theory (Credit Units: 3) Fundamental capabilities and limitations of information sources and information transmission systems. An analytical framework for modeling and evaluating communication systems: Entropy, mutual information, Asymptotic equipartition property, Entropy r rates of a stochastic process, Data compression, Channel capacity, Differential Entropy, The Gaussian channel, Rate Distortion theory. Prerequisite: EECS240. (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-0471241959.

Recommended Textbook:
None
References:
None
Coordinator:
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:
Prerequisites by Topic
Lecture Topics:

None.

Class Schedule:

Meets for 3 hours of lecture each week for 10 weeks.

Computer Usage:
Laboratory Projects:
Professional Component
Design Content Description
Approach:
Lectures:
Laboratory Portion:
Grading Criteria:
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units

Prepared:
July 23, 2013
Senate Approved:
February 9, 2004
Approved Effective:
2004 Fall Qtr