School of Engineering and Technology, (SET) | ||
AT72.03 : Statistical Models and Design of Experiments 3(3-0) | ||
Course objectives: | ||
The objective of this course is to impart knowledge on various statistical methods with a special emphasis on design of experiments. |
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Learning Outcomes: | ||
The students on the completion of this course would be able to:
• Determine basic descriptive statistics of ungrouped and grouped data sets that are needed for statistical inferential processes
• Estimate and test of hypotheses on population parameters for decision making purpose
• Apply analysis of variance technique through different experimental designs to make decision for various design problems in industries
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Pre-requisite(s): | ||
None |
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Course Outline: | ||
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Learning Resources: | ||
Textbook: | ||
D.C. Montgomery: Design and Analysis of Experiments, 8th edition, John Wiley and Sons, 2013. |
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Reference Books: | ||
1. G. Taguchi, S. Chowdhury, and Y. Wu: Taguchi Quality Engineering Handbook, 1st edition, John Wiley & Sons, 2005
2. P.D. Berger: Experimental Design, 1st edition, Duxbury Thomson Learning, 2002.
3. M.H. DeGroot, and M.J. Scherrvish: Probability and Statistics, 4th edition, Pearson, 2012.
4. G. Taguchi, S. Chowdhury, and S. Taguchi: Robust Engineering, 1st edition, McGraw-Hill, 2000.
5. W.G. Cochran: Sampling Techniques, 3rd edition, John Wiley & Sons, 1977.
6. I. Newton: Minitab Cookbook, Packt Publishing Ltd., 2014
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Journals and Magazines: | ||
1. International Journal of Quality and Reliability Management, Emerald.
2. International Journal of Experimental Design and Process Optimisation, Inderscience.
Others: Lecture Notes
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Time Distribution and Study Load: | ||
Lecture hours : 45 hours
Tutorials : 09 hours
Home assignments : 45 hours
Self-study : 90 hours
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Teaching and Learning Methods: | ||
The teaching is done via lectures by the instructor. The learning method includes tutorial and individual assignments.
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Evaluation Scheme: | ||
Mid-semester examination 50%, final examination 50%. The examinations are open-book.
An “A” would be awarded if a student shows a deep understanding of all statistical analysis procedures and design techniques discussed in this course through analysis of practical problems.
A “B” would be awarded if a student shows an overall understanding of all statistical analysis procedures and basic design techniques.
A “C” would be given if a student meets below average expectation in understanding and application of basic design techniques.
A “D” would be given if a student does not meet expectations in understanding and application of basic techniques.
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Instructor(s): | ||
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