Date: Tue, 26 Nov 1996 19:11:28 GMT
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EECS401 Web Page for Fall '96
Welcome to the EECS 401 Course Web page for the Fall 96 term
Course Outline
- Catalogue description
- Basic concepts of probability theory. Random variables : discrete,
continuous, and conditional probability distributions; averages;
independence. Introduction to discrete and continuous random processes:
wide sense stationarity, correlation, spectral density.
- Prerequisites
- Junior standing.
- Fall 96 schedule
- MWF 8:30am~9:30am at 1200EECS.
Instructor : Prof. David Neuhoff
Teaching Assistant : Sungill Kim
Teaching Assistant : Tzu-Hsien Sang
- E-mail :
tzuhsien@engin.umich.edu
- Office hours : M 3:30 ~ 5:00pm, Tu 2:00 ~ 5:00pm, W 3:30 ~ 5:00pm,
Th 3:30 ~ 6:00pm, in 2420 EECS
Text and References
The main text is :
- C. Helsrom, Probability and Stochastic Processes for
Engineers.
This Book is out of print, but reprints may be purchases from Dollar
Bill's copy shop.
The course will cover material in chapters 1~4, and 6.
Other textbooks at a similar level, all on reserve in the library :
- P. Peebles, Probalility, Random Variables and Random Signal
Principles. (three editions)
- R. Roberts, An Introduction to Applied Probability
- S. Ross, A First Course in Probability
- A. Drake, Fundamentals of Applied Probability
Course Syllabus
- Probability Models (Chapter 1)
- Random Variables (Chapters 2,3,4)
- Random Processes (Chapter 6)
Grading
- Homework 15% (Lowest HW grade will be dropped)
- Midterm 1 25%
- Midterm 2 25%
- Final 35%
Additional Information