ECEn 670, Stochastic Processes, Fall 2013
This course will give you the mathematical tools to model and analyze random phenomena that evolve in time. It is central to the analysis of communications, biological interactions, and even financial markets. Through this course, you will learn the mathematical tools to quantitatively handle a variety of cases in both discrete and continuous time. The principles taught in this course will strengthen your basic understanding of probability theory.
Meeting Times: TTh 9:30 AM - 10:45 AM, 435 CB
Dr. Brian Mazzeo
Office: 448 CB
Office Hours: By appointment; I am often available when you stop by.
An Introduction to Statistical Signal Processing
By Gray and Davisson
Cambridge University Press
An electronic copy of the text can be found here.
Schaum's Outline of Probability, Random Variables, and Random Processes (2nd edition)
By Hwei Hsu