EECS 401 - Probabilistic Methods in Engineering
Section: 001
Term: FA 2009
Subject: Electrical Engineering and Computer Science (EECS)
Department: CoE Electrical Engineering and Computer Science
4 (Non-LSA credit).
Requirements & Distribution:
Waitlist Capacity:
Enforced Prerequisites:
EECS 216 or306 (C>NoOPF) or Gr
Other Course Info:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
May not be repeated for credit.
Primary Instructor:

Basic concepts of probability theory. Random variables: discrete, continuous, and conditional probability distributions; averages; independence. Statistical inference: hypothesis testing and estimation. Introduction to discrete and continuous random processes.

EECS 401 - Probabilistic Methods in Engineering
Schedule Listing
001 (LEC)
M 9:30AM - 10:30AM
WF 9:00AM - 10:30AM
Note: In Fall 2009 discussion is part of lectures. Please register for lecture.
011 (DIS)
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

ISBN: 9781886529236
Introduction to probability, Author: Dimitri P. Bertsekas and John N. Tsitsiklis., Publisher: Athena Scientific 2nd ed. 2008
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