Course Unit Code | 639-3006/05 |
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Number of ECTS Credits Allocated | 6 ECTS credits |
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Type of Course Unit * | Compulsory |
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Level of Course Unit * | Second Cycle |
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Year of Study * | First Year |
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Semester when the Course Unit is delivered | Summer Semester |
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Mode of Delivery | Face-to-face |
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Language of Instruction | Czech |
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Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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Name of Lecturer(s) | Personal ID | Name |
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| HAL37 | Ing. Mgr. Petra Halfarová, Ph.D. |
Summary |
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The subject Design of experiments (DOE) expands the subject matter of regression analysis. Basic strategies of data preparation for regression models are discussed, as are full and fractional factorial plans. The emphasis is placed on the balance between statistical requirements and economic efficiency of data sampling. Construction of experimental plans is accompanied by the methodology of finding key inputs to the modelled process and their optimal set-up. The one-way and two-way analysis of variance (ANOVA) is also part of the subject. The generalizing chapters on dynamic planning and robust technology design are included. |
Learning Outcomes of the Course Unit |
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Knowledge of DOE basic terms and methods:
full factorial and fractional factorial plans,
robust product and process design,
analysis of real problems and their optimal solution,
application of one-way and two-way analysis of variance.
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Course Contents |
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1. Full Factorial Design at Two Levels.
2. Fractional Factorial Design at Two Levels.
3. Quadratic Models.
4. Blocking.
5. ANOVA.
6. Three-level Plans.
7. Box - Behnken Plan.
8. Dynamic Design of Experiments.
9. Designing Robust Products and Processes.
10.Quality characteristics. |
Recommended or Required Reading |
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Required Reading: |
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BOX, G. E. P., W. G. HUNTER a J. S. HUNTER Statistics for Experimenters. NY: John Wiley & Sons, 1978. ISBN 0-471-09315-7.
MONTGOMERY, D. C. Design and Analysis of Experiments. NY: Wiley, 2004.
ISBN 978-0-470-12866-4.
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TOŠENOVSKÝ, J. Plánování experimentů. Ostrava: VŠB -Technická univerzita Ostrava, 2012. ISBN 978-80-248-2592-2. Dostupné z: http://www.person.vsb.cz/archivcd/FMMI/DOE/index.htm
TOŠENOVSKÝ, J. a D. NOSKIEVIČOVÁ. Statistické metody pro zlepšování jakosti.
Ostrava: Montanex, 2000. ISBN 80-7225-040-X.
MONTGOMERY, D. C. Design and Analysis of Experiments. NY: Wiley, 2004.
ISBN 978-0-470-12866-4.
BOX, G. E. P., W. G. HUNTER a J. S. HUNTER Statistics for Experimenters. NY: Wiley & Sons, 1978. ISBN 0-471-09315-7.
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Recommended Reading: |
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JIJU, A. Design of Experiments for Engineers and Scientists. Oxford: Butterworth Heinemann, 2003. ISBN 978-00-80-46995-9.
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JAROŠOVÁ, E. Navrhování experimentů a jejich analýza. Praha : Česká společnost pro jakost, 2007. ISBN 978-80-02-01985-5.
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Planned learning activities and teaching methods |
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Lectures, Tutorials, Project work |
Assesment methods and criteria |
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Task Title | Task Type | Maximum Number of Points (Act. for Subtasks) | Minimum Number of Points for Task Passing |
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Credit and Examination | Credit and Examination | 100 (100) | 51 |
Credit | Credit | 40 | 20 |
Examination | Examination | 60 | 31 |