Random Processes in Engineering

An introduction to probability and stochastic processes as used in communication and control. Topics include probability theory, random variables, expected values and moments, multivariate Gaussian distributions, stochastic processes, autocorrelation and power spectral densities, and an introduction to estimation and queuing theory. Prerequisite: EE3360 or Permission of instructor.

Syllabus (pdf file)

Instructor Information

Instructor: Fred Ware, Ph.D.
Office: Jerry Junkins building, 347
Tu 5:00pm - 5:30pm, Th 3:00pm - 3:30pm, 5:00pm-5:30pm
Phone: 214-768-3205
Email: fware@engr.smu.edu

Textbook

A. Leon-Garcia, Probability and Random Processes for Electrical Engineering,
2nd ed., Addison-Wesley, 1994. Class notes (in PDF) will also be distributed in
class and available on the website.

Course Downloads