[an error occurred while processing this directive] Jack Ou -

Course: Engineering Applications of Probability Theory (ES 345E)
Section: 001
Fall, 2011

Syllabus

Instructor:  Jack Ou, Ph.D.
Office Location: Salazar Hall 2010B
Email:jack.ou AT sonoma DOT edu
Office Hours: By appointment during MW11:30-12 and TTH 10:35-11

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 one-unit 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 978-0-471-27214-4.

Schedule

Date
Topic
Reference
Homework
Solution
10/12
Chapter 1
10/19
2.1-2.4
10/26
2.5-2.9
11/30
3.1-3.3
12/7
3.4-3.5
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