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Lecturer(s)
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Pata Vladimír, prof. Dr. Ing.
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Course content
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1. Introduction to mathematical-statistical multivariate methods, basic concepts, terminology and symbols. 2. Statistical methods in industrial practice. 3. Basics of statistical processing of multidimensional data - measurement results. 4. Probability and its distribution in 3D. 5. Random selection and sampling distributions in 3D. 6. Statistical analysis of multidimensional data - regression and correlation analysis. 7. Estimation of multidimensional parameters of the basic set, testing of statistical hypotheses. 8. Statistical process control and its principles. 9. Shewhart regulation diagrams, regulation by measurement and comparison. 10. Evaluation of the capability of production processes. 11. Other types of statistical control charts and quality control tools. 12. Applied statistics - statistical acceptances, acceptance plans, operational characteristics. 13. Numerical methods of data analysis. 14. Legislative foundations in the area of statistical process management.
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Learning activities and teaching methods
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- Preparation for examination
- 150 hours per semester
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| prerequisite |
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| Knowledge |
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| Conduct a search for the WOS article, work with foreign language literature. |
| Conduct a search for the WOS article, work with foreign language literature. |
| Skills |
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| Independently solve issues related to statistical and mathematical problems of quality management. |
| Independently solve issues related to statistical and mathematical problems of quality management. |
| learning outcomes |
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| Knowledge |
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| The student has a knowledge of metrology and is able to apply them in practice. |
| The student has a knowledge of metrology and is able to apply them in practice. |
| Skills |
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| The student has a knowledge of metrology and is able to apply them in practice. |
| The student has a knowledge of metrology and is able to apply them in practice. |
| teaching methods |
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| Knowledge |
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| Monologic (Exposition, lecture, briefing) |
| Monologic (Exposition, lecture, briefing) |
| Dialogic (Discussion, conversation, brainstorming) |
| Dialogic (Discussion, conversation, brainstorming) |
| Skills |
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| Individual work of students |
| Individual work of students |
| Practice exercises |
| Practice exercises |
| assessment methods |
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| Knowledge |
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| Written examination |
| Written examination |
| Oral examination |
| Oral examination |
| Grade (Using a grade system) |
| Grade (Using a grade system) |
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Recommended literature
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DUPAČ, V. Pravděpodobnost a matematická statistika. 2. upr. vyd.. Praha: Karolinum, 2013. ISBN 978-80-246-2208-8.
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MELOUN, M., MILITKÝ, J. Kompendium statistického zpracování dat. Praha: Karolinum, 2012. ISBN 978-80-246-2196-8.
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MONTGOMERY, D.C. Introduction to Statistical Quality Control. 5th Ed.. Hoboken: John Wiley, 2005. ISBN 0471661228.
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NENADÁL, J. Měření v systémech managementu jakosti. Praha: Management Press, 2004. ISBN 80-7261-110-0.
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PATA, V., KUBIŠOVÁ, M. Statistické metody hodnocení jakosti strojírenských povrchů. Zlín: FT UTB, 2018. ISBN 978-80- 7454-740-.
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TOŠENOVSKÝ, J. Statistické metody pro zlepšování jakosti. Ostrava: Montanex, 2000. ISBN 80-7225-040-X.
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ZVÁRA, K., ŠTĚPÁN, J. Pravděpodobnost a matematická statistika. 6. vyd.. Praha: Matfyzpress, 2019. ISBN 978-80-7378-388-.
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