Course alpha,
number, title
STT 351 – Probability and Statistics for Engineers
Required or elective
Required
Course (catalog)
description
A calculus based course in probability and statistics for engineering majors. Probability
models and random variables. Estimation, confidence intervals, tests of hypotheses, and
simple linear regression. Other topics with applications to engineering.
Prerequisite(s)
MTH 234
Textbook(s)
and/or other
required material
Applied Statistics for Engineers and Scientists 5th edition, 2000, Devore.
Class/Lab schedule:
3 credit hours [150 minutes lecture]
Topics covered
1. obtaining and interpreting data
2. probability
3. statistical inference
4. statistical process control
5. regression analysis
6. design of experiments
Course learning
objectives
For the student to be able to:
1. describe and present data and information using summary statistics, tables and graphical
displays.
2. use probability in modeling experimental outcomes and assessing uncertainty.
3. select and use probability models (from Binomial, Normal, etc) for the variation present in
a selection of engineering applications.
4. use data generated by random sampling to make inferences about the parent population or
stable process using confidence interval and hypothesis testing methods and check the
appropriateness of the methods.
5. examine relationships among variables using regression techniques and check the
appropriateness of the models.
6. apply statistical process control charts and techniques to determine the stability of a
process and perform analyses on measurement processes so as to understand and control
variability and biases introduced by measurement.
Note:
In addition to the regular office hours by the faculty, the Department has set aside about 15
hours per week in the Help Room staffed by doctoral students in Statistics. The Help Room
is to assist and aide engineering students with their questions in STT 351.
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Relationship of
course to ME
program
outcomes
The following measurement standard is used to evaluate the relationship between the course
outcomes and the educational-program outcomes:
3 = Strong Emphasis, 2 = Some Emphasis, 1 = Little or No Emphasis.
(a) an ability to apply knowledge of mathematics, science, and engineering—3
(b) an ability to design and conduct experiments, as well as to analyze and interpret data—1
(c) an ability to design a system, component, or process to meet desired needs—1
(d) an ability to function on multi-disciplinary teams—1
(e) an ability to identify, formulate, and solve engineering problems—1
(f) an understanding of professional and ethical responsibility—1
(g) an ability to communicate effectively—1
(h) the broad education necessary to understand the impact of engineering solutions in a
global/societal context—1
(i) a recognition of the need for and the ability to engage in life-long learning—1
(j) a knowledge of contemporary issues—1
(k) an ability to use the techniques, skills, and modern engineering tools necessary for
engineering practice—2
(l) design, build, and test in mechanical systems area—1
(m) design, build, and test in thermal/fluids area—1
(n) application of advanced mathematics—1
(o) capstone design experience—1
Contribution to
professional
component:
100% Mathematics and Basic Science
Person(s) who
prepared this
description
Habib Salehi
Date of
Preparation
August 2002
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