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Dr. Jerry M. Mendel
Spring 2010
1
EE364
:
Introduction to Probability and Statistics
For Electrical Engineering and Computer Science
Introduction to concepts of randomness and uncertainty: probability, random variables, and
statistics. Applications may be from digital communications, signal processing, automatic
control, computer engineering, computer science.
Prerequisite:
MATH 225 or MATH 245 or EE
241
(this is being relaxed).
Syllabus
Introduction
•
Use of words that convey uncertainty in our daily language
•
Some examples of interesting situations that we are bound to encounter in which
probability plays a central role
•
Probability versus statistics
•
Role of probability and statistics in engineering
•
Are probability and statistics confined to engineering?
•
What mathematics is used in probability and statistics?
•
Examples of courses in EE that make heavy use of probability
•
Are their kinds of uncertainty that can’t be modeled using probability?
•
What this course is about
•
Where does this course stand in relation to the broad fields of probability and statistics?
•
Webresources
•
Textbook for the course
•
Homework policies
Probability
•
Experiment
•
Sample space
•
Events
o
HANDOUT: Experiment, Sample Space and Events
•
Role of set theory
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 Spring '10
 Mendel

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