Probability and Random Processes (STA 3533) Fall 1998
Time: TR 12:30 - 1:45 pm, Room: HSS 3.02.18

Instructor:	Dr. Ming-Ying Leung 
		Office:	SB 4.01.22 
		Phone:	458-5535
		Fax:	458-4439.
		Email:	leung@math.utsa.edu
		Web:	http://www.math.utsa.edu/~leung/

Office Hours:	TR  9 - 11 am, or by appointment

Course Objectives: To introduce probability concepts to Electrical Engineering students as needed 
for applications in signal processing, communication systems, and information theory.

Scope: This course will cover basic probability, discrete and continuous distributions, joint 
distributions, expected values, covariance, correlation, transformations of random variables, 
autocorrelation and autocovariance for random processes. Examples from electrical engineering are 
included.
			
Text:	Probability and Random Processes for Electrical Engineering, 2nd edition 
	by Alberto Leon-Garcia.

Prerequisite:	MAT 2213 (Calculus III) and EE 3423

Syllabus:	Chapter 1:	Probability Models. 
		Chapter 2:	Basic Concepts of Probability Theory, sections 2.1, 2.2, 2.4 - 2.7.
		Chapter 3:	Random Variables, sections 3.1 - 3.6, 3.9.
		Chapter 4:	Multiple Random Variables, sections 4.2 - 4.4, 4.7.
		Chapter 5:	Sums of Random Variables, sections 5.1 - 5.3.
		Chapter 6:	Random Processes, sections 6.1 - 6.4.
		Chapter 7:	Analysis and Processing of Random Signals, sections 7.1, 7.2.	 
			
Grading: There will be 10 homework assignments, at least 10 class exercises, two in class 
tests, and a final exam. They will contribute to your overall grade according to the 
following percentages.

		Homework: 		20%	(Due in class every Thursday except on test dates) 
		Class exercises:	15% 	(Group work in class)
		Test I: 		20% 	(In class Thursday, 9/24)
		Test II:		20%	(In class Thursday, 10/29)
		Final Exam:		25% 	(Wed, 12/9, 10:30 am - 1:15 pm)

NO MAKEUP EXAM will be given except for emergency or medical reasons. In such cases, the 
student should submit a written request accompanied by official documents to arrange for a makeup 
test. Overdue assignments will only be accepted for a good reason. However, the instructor 
reserves the right to discount part or all of the credit for any late homework.

LAST DAY TO DROP an individual course and receive a grade W is 10/23.