University of Wisconsin Madison
Modern Probability Theory and Stochastic Processes (E C E 730) Syllabus
Course Learning Outcomes
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Details
Modern Probability Theory and Stochastic Processes
E C E 730 ( 3 Credits )
Description
Stochastic processes in linear and nonlinear systems; stationarity, continuity, ergodicity; power spectrum and systems; estimation theory, filtering and prediction; harmonic analysis; nonstationary normal processes.
Prerequisite(s)
ECE 331 or equiv
Department: ELECTRICAL AND COMPUTER ENGR
College: College of Engineering
Instructor
Instructor Name
Instructor Campus Address
instructorEmail@emailaddress.edu
Contact Hours
 
Course Coordinator
J. Gubner
Text book, title, author, and year
Probability and Random Processes for Electrical and Computer Engineers; John A. Gubner; 1st edition; 2006
Supplemental Materials
 
Required / Elective / Selected Elective
 
ABET Program Outcomes Associated with this Course
Program Specific Student Outcomes
 
Brief List of Topics to be Covered
 
Additional Information
 
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