Course Unit Code | 639-2016/01 |
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Number of ECTS Credits Allocated | 7 ECTS credits |
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Type of Course Unit * | Compulsory |
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Level of Course Unit * | First Cycle |
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Year of Study * | First Year |
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Semester when the Course Unit is delivered | Winter 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 | There are no prerequisites or co-requisites for this course unit |
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Name of Lecturer(s) | Personal ID | Name |
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| PLU30 | prof. Ing. Jiří Plura, CSc. |
| NOS35 | prof. Ing. Darja Noskievičová, CSc. |
| VYK37 | Ing. David Vykydal, Ph.D. |
| HAL37 | Ing. Mgr. Petra Halfarová, Ph.D. |
| TOS012 | Ing. Filip Tošenovský, Ph.D. |
| SMA0011 | Ing. Tereza Smajdorová, Ph.D. |
| TYL0031 | Ing. Eva Tylečková |
| HOF0045 | Ing. Zdenka Hofbruckerová, Ph.D. |
Summary |
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The aim of the course is to provide students a comprehensive overview of the quality management and its aspect, to be taught in the specialization of Quality Management at the Technical University of Ostrava. All the subjects, which are taught at the department of quality management as well as their content, meaning and interdependence in the individual areas of quality management will be introduced. The content of the graduates' work and the possibility of their employment will be presented to students during specialized excursions. |
Learning Outcomes of the Course Unit |
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The student will be able to orientate in the administrative and organizational aspect of the study at VŠB-TU Ostrava.
Students will be able to work with relevant information sources.
Students will learn basic concepts and principles of quality management.
The student will become familiar with selected methods and tools of quality management.
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Course Contents |
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1. Study at VŠB-TU Ostrava. Presentation of the university and its workplaces. Department of Quality Management and its Academic Staff.
2. University Information Systems, Important Web Applications (Edison, Learning Management System, Library, etc.).
3. Basic concepts of quality management. The importance of quality management in the 21st century. Quality Management Terminology.
4. Historical development of quality management. Significant personalities and their contribution to the development of the field.
5. Principles of quality management. Process model and its applications.
6. Quality Management System of VŠB-TU Ostrava. ISO portal and basic study related documents.
7. Use of statistical methods in quality management. Theory of probability and mathematical statistics.
8. Product and process quality planning, procedures and principles. Tools for quality planning and continuos improvement.
9. Process quality control and improvement. Statistical process control.
10. Computer Aided Quality Management. Presentation of selected software and its possible use in quality management.
11. Human factor in quality management. Basic principles of human resource management in an organization.
12. Knowledge Management, Principles and Procedures. From learning organozation to knowledge society.
13. Conformity assessment, testing and certification. Basic legislation and concepts of metrology.
14. Content of work of graduates in the field of quality management. Practical experience of graduates in the field of quality management. |
Recommended or Required Reading |
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Required Reading: |
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KIRAN, D. R. Total quality management: key concepts and case studies. Amsterdam: Elsevier/Butterworth-Heinemann, 2017. ISBN 978-0-12-811035-5.
MENDENHALL, W. and T. SINCICH. Statistics for engineering and the sciences. Sixth edition. Boca Raton: CRC Press, Taylor & Francis Group, 2016. ISBN 978-1-4987-2885-0.
BENCSIK, A. Knowledge management initiatives and strategies in small and medium enterprises. Hershey: IGI Global, 2017. ISBN 978-1-5225-1642-2.
MILTON, J. S., J. C. ARNOLD and L. KWONG. Probability and statistics: for engineering and the computing sciences. Singapore: McGraw-Hill, c2013. ISBN 978-0-07-108785-8. |
NENADÁL, Jaroslav. Management kvality pro 21. století. Praha: Management Press, 2018. ISBN 978-80-726-1561-2.
PETŘÍKOVÁ, Růžena, Zdenka HOFBRUCKEROVÁ a Šárka JANKŮ. Lidé v procesech řízení: (o kvalitě, znalostech, odpovědnosti a udržitelném rozvoji). [Průhonice]: Professional Publishing, 2020. ISBN 978-80-88260-43-1.
KIRAN, D. R. Total quality management: key concepts and case studies. Amsterdam: Elsevier/Butterworth-Heinemann, 2017. ISBN 978-0-12-811035-5. |
Recommended Reading: |
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LOSHIN, D. Enterprise knowledge management: the data quality approach. San Diego: Morgan Kaufmann, 2007. ISBN 978-0-12-455840-3.
RUGGLES, R. L. Knowledge management tools. Boston: Butterworth-Heinemann, 2009. ISBN 978-0-7506-9849-8.
DECOURSEY, W. J. Statistics and probability for engineering applications with Microsoft Excel. Boston: Newnes, 2007. ISBN 978-0-7506-7618-2.
MICHAEL A. W., D. TJOSVOLD and K. G. SMITH. International handbook of organizational teamwork and cooperative working. Chichester, West Sussex: Wiley, 2008. ISBN 9780470696712.
PETER W.M. J. Statistical methods in engineering and quality assurance. New York: Wiley, 2008. ISBN 9780470316825. |
JAROŠOVÁ, E. a D. NOSKIEVIČOVÁ. Pokročilejší metody statistické regulace procesu. Praha: Grada Publishing, 2015. ISBN 978-80-247-5355-3. |
Planned learning activities and teaching methods |
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Lectures, Tutorials, Project work, Other activities, Field trip, Teaching by an expert (lecture or tutorial) |
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 (40) | 20 |
Zpracování semestrálního projektu | Semestral project | 40 | 20 |
Examination | Examination | 60 | 31 |