EECS 240 Random Processes (2017-2018)

EECS 240 Random Processes

(Not required for any major.)
Catalog Data:

EECS 240 Random Processes (Credit Units: 4) Extentions of probability theory to random variables 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. Graduate students only. (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-0131471221.

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

Engineering Probability (EECS 55)

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

February 22, 2017
Senate Approved:
January 10, 2014
Approved Effective:
2015 Fall Qtr