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Jayant
Rajgopal
1039 Benedum Hall
Industrial
Engineering
University of
Pittsburgh
Pittsburgh, PA
15261
Tel. +1 412
624 9840
Fax +1 412 624
9831
rajgopal@pitt.edu
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TEXTBOOK
Probability and
Statistics
for Engineering and the Sciences (7th Edition), by Jay L.
Devore,
Duxbury Press, Belmont, CA (2007).
REFERENCES
-
Engineering Statistics (4th
ed.), by
Douglas C. Montgomery, George C. Runger, Norma F. Hubele, John Wiley,
New
York, NY (2003).
-
Applied Statistics for
Engineers and Physical
Scientists
(3rd ed.), by Robert V. Hogg and Johannes Ledolter,
Macmillan,
New York, NY (2008).
-
Statistics for
Engineers and Scientists (2nd ed.)
by William Navidi, McGraw Hill, New York, NY (2008).
COURSE OUTLINE
This is an introductory
course in
probability & statistics that is designed for engineering
students.
Topics to be covered will include data analysis, probability, random
variables,
discrete and continuous probability distributions, estimation,
hypothesis
testing, sampling, and introductory linear regression and statistical
process
control. Some topics may be deleted and other added depending on time
constraints.
COURSE OBJECTIVES
-
To acquaint engineering
students with the
fundamental concepts of probability and statistics.
-
To develop an
understanding of the role of
statistics in engineering.
-
To provide an
understanding of the processes
by which real-life statistical problems are analyzed.
-
To familiarize students
with computer-based
statistical analysis through a suitable software package.
APPLICABLE ABET OUTCOMES
-
An ability to apply
knowledge of mathematics,
science and engineering.
-
An ability to design and
conduct experiments,
as well as to analyze and interpret data.
-
An ability to identify,
formulate and solve
engineering problems.
-
An ability to use the
techniques, skills,
and modern engineering tools necessary for engineering practice.
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