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EECS 501
Probability and Random Processes
Fall 2009
Lectures: TTh 10:30 am – 12 noon, 1500 EECS Bldg.
Recitation: Tue 3:30 pm – 5 pm 1010 DOW Bldg. (section 11) or
M 4:30 pm 6 pm,
2233 GGBL Bldg. (section 12)
Instructor:
Professor K. A. Winick
4423 EECS Bldg.
Tel: 7645203
Email:
[email protected]
Office Hours: M 10:30 am  12 noon and W 4 pm 5:30 pm
Teaching Assistant:
Ali Kakhbod
TA room – 2420 EECS Bldg., Tel: 9363526
Email: [email protected]
Office Hours: TBA
Textbooks/Course
Matieral:
(1) Primary: EECS 501 Lecture (posted on course Ctools web
site)
(2) Secondary: John A. Gubner, Probability and Random
Processes for Electrical and Computer Engineers
, Cambridge
University Press (2006)
Prerequisites:
EECS 401 or Graduate Student Standing
Course Content:
Introduction
to
probability
and
random
processes.
Basic
combinatorics. Basic concepts of probability, i.e., probability spaces,
events, set operations, and probability axioms. Sigma fields.
Conditional probability. Bayes’ rule, law of total probability and
independence. Random variables – discrete, continuous, probability
distributions and densities, moments. Jointly distributed random
variables. Joint probability distributions of functions of random
variables. Properties of expectation. Moment generating functions.
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 Fall '08
 TECSZS..
 Probability, Probability theory, Stochastic process, Trigraph, EECS Bldg, probabili ty

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