Lecturer(s)
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Dostal Rostislav, Ing. Ph.D.
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Course content
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1. Introduction to statistical methodology. 2. Overview of statistical computing environments. 3. Basic statistical data processing I (data types, characteristics of position and variability). 4. Advanced statistical data processing II (other characteristics). 5. Basic graphical presentation of biomedical data. 6. Advanced graphical presentation of biomedical data. 7. Fundamentals of probability theory. 8. Discrete random variable. 9. Continuous random variable. 10. Basic probabilistic models. 11. Analysis of categorical data (pivot tables).
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Learning activities and teaching methods
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Interactive lecture, Task-based study method, Students' self-study, Practicum
- Contact hours
- 22 hours per semester
- Preparation for comprehensive test (10-40)
- 30 hours per semester
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prerequisite |
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Knowledge |
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Students should be familiar with basic notions of mathematics to the extent of the course KMA/VKAN1. |
Skills |
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Control the user-level MS Excel. |
Critically evaluate data sources with emphasis on reliability and completeness. |
Competences |
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N/A |
learning outcomes |
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Knowledge |
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Use selected SW for statistical processing of biomedical data. Apply statistical principles to selected real problems and propose solutions in selected SW. Interpret the statistic results. |
Skills |
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Apply theoretical knowledge of probability in SW Excel (or in other statistically oriented software). |
Utilize knowledge of basic statistical methods and procedures for data analysis in sw Ecxel (or in other statistically oriented software) |
Competences |
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N/A |
N/A |
teaching methods |
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Knowledge |
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Interactive lecture |
Practicum |
Task-based study method |
Self-study of literature |
Skills |
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Interactive lecture |
Practicum |
Task-based study method |
Self-study of literature |
Competences |
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Interactive lecture |
Practicum |
Task-based study method |
Self-study of literature |
assessment methods |
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Knowledge |
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Skills demonstration during practicum |
Seminar work |
Skills |
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Skills demonstration during practicum |
Seminar work |
Competences |
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Skills demonstration during practicum |
Seminar work |
Recommended literature
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HENDL J. Přehled statistických metod zpracování. PRAHA, 2006. ISBN 80 7367-123-9.
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Kožíšek, Jan; Stieberová, Barbora. Statistika v příkladech : praktické aplikace řešené v MS Excel. Praha : Verlag Dashöfer, 2012. ISBN 978-80-86897-48-6.
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Reif. Metody matematické statistiky. ZČU Plzeň, 2000.
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ZVÁROVÁ J. Základy statistiky pro biomedicíncké obory. PRAHA, 2002. ISBN 80-246-0609-7.
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