George Mason University
George Mason University Mason
George Mason University

ECE 728: Random Processes in Electrical and Computer Engineering

Course Information from University Catalog

Not Repeatable

Recommended for advanced master's and doctoral students. Provides background in random processes needed for pursuing graduate studies and research in statistical signal processing, communications, control, and computer networks. Covers probability spaces, random variables, Lebesque integration, conditional mean on a sigma field, convergence of random variables, limit and ergotic theorems, Markov processes, and Martingales.

When Offered: Fall

Hours of Lecture or Seminar per week: 3

Credits: 3


ECE 528 or permission of instructor.

1 Course Sections Scheduled for Fall 2018