EECS 501 - Probability and Random Processes
Section: 001
Term: WN 2018
Subject: Electrical Engineering and Computer Science (EECS)
Department: CoE Electrical Engineering and Computer Science
Credits:
4 (Non-LSA credit).
Requirements & Distribution:
BS
Enforced Prerequisites:
EECS 301; or graduate standing.
Other Course Info:
(non-LSA).
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Introduction to probability and random processes. Topics include probability axioms, sigma algebras, random vectors, expectation, probability distributions and densities, Poisson and Wiener processes, stationary processes, autocorrelation, spectral density, effects of filtering, linear least-squares estimation, and convergence of random sequences.

EECS 501 - Probability and Random Processes
Schedule Listing
001 (LEC)
 
18679
Open
90
 
-
MW 1:30PM - 3:00PM
011 (DIS)
P
18680
Open
40
 
-
F 1:30PM - 3:00PM
012 (DIS)
P
22208
Open
40
 
-
F 10:30AM - 12:00PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


ISBN: 0521864704
Probability and random processes for electrical and computer engineers, Author: John A. Gubner., Publisher: Cambridge University Press 2006
Required
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