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BBE 4320/5320 Applied Statistics for Process
Industries - Measurement, Analysis and Control (3 credits)
| Catalog Description: |
Presented through the Internet, this course includes
tutorials, examples, case studies, quizzes, projects and
email support. It covers basic concepts and most frequently
used methods in statistical process control, analysis of
variances, experiment design, and regression analysis.
It aims to provide students with an understanding of how
statistics can work for us, and to teach students on how
to use statistical methods properly and efficiently in
practice. After completing this course, the students will
better understand effects of variations on processes, learn
the use of certain statistical methods to improve quality
and productivity through monitoring, control, and reduction
of variation, and will be able to develop and use control
charts in the real process to improve process operation
and product quality.
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| Prerequisites: |
• Calculus.
• Basic computer and Internet skills (such as word processing, using Microsoft
Excel for various spreadsheet applications, browsing the Web, uploading and downloading
files, and using e-mail with file attachments).
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| Class/Laboratory Schedule: |
TBA
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| Location: |
TBA
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| Instructors: |
Sangwon
Suh
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| Text: |
Text
R. V. Hogg and J. Ledolter, Applied Statistics for Engineers and
Physical Scientists, 2nd ed. New York: Macmillian Publishing Co.,
1992.
Supplemental Readings:
• E. L. Grant and R. S. Leavenworth, Statistical Quality Control, 6th
ed. New York: McGraw-Hill Publishing Co., 1988.
• G. E. P. Box, W. G. Hunter, and J. S. Hunter, Statistics for Experimenters, New
York: John Wiley & Sons, Inc. 1978.
• C. L. Mamzic, ed., Statistical Process Control -- Practical Guides
for Measurement and Control, ISA, 1995.
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| Grading: |
Grade for the course depends on your performance on
projects, quizzes and online discussion according to weights
given below:
Question answers via email = 5%
Five quizzes (5 @ 10%) = 50%
Three projects (3 @ 15%) = 45%
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Course Requirements
- Projects: There will be three projects.
- Quizzes: There will be five quizzes.
- Online participation: You are required to submit your assignments
(Quizzes and Projects) online and answer questions the instructor
send to you via email. A printer and near-daily access to the
Web is required.
- Homework: There are homework problems along with answers at
the end of each module to help you in understanding the material
and preparing for the quizzes. You do not need to submit your
homework.
Course Syllabus
Module
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Topic
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Submissions [required submissions]
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Module 1
Week 1
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Introduction
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Introduce WebCT to yourself; Self-Introduction
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Module 2
Week 2-3
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Random variables
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Quiz 1
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Module 3
Week 3-4
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Estimating the population mean
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Quiz 2
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Module 4
Week 4-5
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Measuring the variation
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Quiz 3; Email Discussion
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Module 5
Week 5-7
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Statistical Process
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Control Project 1
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Module 6
Week 8
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Comparing two treatments
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Quiz 4; Emil Discussion
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Module 7
Week 9-10
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Comparing k treatments
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Quiz 5; Email Discussion
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Module 8
Week 11-13
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Factorial Design at two levels
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Project 2
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Module 9
Week 14-16
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Fitting Data to Mathematical Models
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Project 3
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