Course: Engineering Applications of Probability Theory (ES 345E)
Section: 001
Fall, 2011
Instructor: Jack Ou, Ph.D.
Office Location: Salazar Hall 2010B
Email:jack.ou AT sonoma DOT edu
Office Hours: By appointment during MW11:3012 and TTH 10:3511
Class time: Wednesday 12:00 PM 1:50 PM
Meeting Times: 10/12, 10/19, 10/26, 11/30, 12/7
School is closed on 11/23.
Course Description:
This is a oneunit course introducing how to apply probability theory to model engineering problems, particularly in communications and networking areas. Topics covered include application of probability to measure of information and redundancy, moments to measure power, correlation to determine correlation function, power spectrum and linear prediction and estimation of statistical parameters.
Required Text: Roy Yates and David Goodman, “Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers,” Second Edition, 2005.
ISBN 9780471272144.
Schedule
Date 
Topic 
Reference 
Homework 
Solution 
10/12 
Chapter 1 

10/19 
2.12.4 

10/26 
2.52.9 

11/30 
3.13.3 

12/7 
3.43.5 
Final Project (Due on 12/13 at noon) 
Matlab Codes:
Name 
Reference 
Description 
Yates & Goodman, example 1.47 
testing 

Yates & Goodman, Problem 1.11.3 
decode packets 

Yates & Goodman Section 2.10 
pmf functions 

Yates & Goodman Section 2.10 
cdf functions 

Yates & Goodman Section 2.10 

Yates & Goodman Section 2.10 

N/A 
generate and plot gaussian RV 

Yates & Goodman Section 3.9 