Go to Main Content

SCT WWW Information System

 

HELP | EXIT

Detailed Course Information

 

Fall 2016 Semester
Jan 21, 2019
Transparent Image
Information Select the desired Level or Schedule Type to find available classes for the course.

EECE 7204 - Applied Probability and Stochastic Processes
Covers fundamentals of probability and stochastic processes with applications to estimation and queuing theory. Includes basic laws of probability, conditioning, and Bayes rule. Topics include random variables and their functions; PDF, PMF, and CDF notions; statistical averages; moments and characteristic functions; multiple random variables; joint and conditional PDF and PMF; multiple functions of random variables; correlation and covariance; mean squared estimation of random variables; Markov, Chebychev, and Chernov inequalities; various notions of convergence of random variable sequences; laws of large numbers; central limit theorem; and large deviation theory. As time permits, discusses basic notions of estimation and properties of estimators, unbiased and minimum variance estimation, CRLB, sufficient statistics, consistency of estimators, basic notions of discrete and continuous-time random processes, mean and autocorrelation function, WSS and cyclo-stationary processes, ergodicity of random processes, and other topics. Prereq. Engineering students only with strong understanding of linear systems, transform techniques, and linear algebra.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Electrical and Comp Engineerng Department

Course Attributes:
GSEN Engineering

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate
Must be enrolled in one of the following Colleges:     
      College of Engineering

Return to Previous New Search
Transparent Image
Skip to top of page
Release: 8.7.2.4