EECS 240 Random Processes (2012-2013)

EECS 240 Random Processes

(Not required for any major.)
Catalog Data:

EECS 240 Random Processes (Credit Units: 4) Extentions of probability theory to random varying with time. General properties of stochastic processes. Convergence. Estimation, including nonlinear and linear minimum mean square error and maximum likelihood. Spectral density and linear filters. Poisson processes and discrete-time Markov chains. Prerequisite: EECS 140. (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-0471120629.

Recommended Textbook:
. Edition, , 1969, ISBN-13 978-0817635916.

Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:
Prerequisites by Topic
Lecture Topics:


Class Schedule:

Meets for 3 hours of lecture and 1 hour of discussion each week for 10 weeks.

Computer Usage:
Laboratory Projects:
Professional Component
Design Content Description
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

April 18, 2012
Senate Approved:
February 2, 2012
Approved Effective:
2012 Fall Qtr