MIKDS0343 Diploma Seminary III

Faculty of Medicine
autumn 2022
Extent and Intensity
0/0.4/0. 1 credit(s). Type of Completion: z (credit).
Taught in person.
PhDr. Simona Saibertová, Ph.D. (lecturer)
PhDr. Natália Beharková, Ph.D. (seminar tutor)
PhDr. Petra Búřilová, BBA (seminar tutor)
Mgr. Dana Dolanová, Ph.D. (seminar tutor)
Mgr. Pavel Kůřil, DiS. (seminar tutor)
doc. PhDr. Miroslava Kyasová, PhD., MBA (seminar tutor)
Mgr. et Mgr. Andrea Menšíková (seminar tutor)
Mgr. Edita Pešáková, DiS. (seminar tutor)
prof. PhDr. Andrea Pokorná, Ph.D. (seminar tutor)
Mgr. Michal Pospíšil (seminar tutor)
Mgr. Alena Pospíšilová, Ph.D. (seminar tutor)
Mgr. Dana Soldánová (seminar tutor)
PhDr. Olga Suková (seminar tutor)
Mgr. Marta Šenkyříková, Ph.D. (seminar tutor)
Mgr. Jiřina Večeřová (seminar tutor)
PhDr. Radka Wilhelmová, Ph.D. (seminar tutor)
Guaranteed by
PhDr. Simona Saibertová, Ph.D.
Department of Health Sciences – Departments of Non-medical Branches – Faculty of Medicine
Contact Person: Gabriela Rozínková
Supplier department: Department of Health Sciences – Departments of Non-medical Branches – Faculty of Medicine
Thu 13. 10. 10:00–11:40 F01B1/309, Thu 8. 12. 10:00–11:40 F01B1/309, Thu 5. 1. 8:00–9:40 F01B1/309
Prerequisites (in Czech)
MIKDS0242 Diploma Seminary II
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Learning outcomes of the course unit the aim of the course is to acquaint students with the formal requirements in the analytical part of the diploma thesis.
Learning outcomes
Student will be able to: - establish criteria for selecting respondents;
- describe the methods used to process the data obtained;
- process the data obtained through descriptive statistics;
- create tables and charts, including their interpretation;
- test hypotheses;
- describe the statistical methods used;
- interpret the results of statistical hypothesis testing.
  • Methodology of diploma thesis.
  • Criteria for selecting respondents.
  • Descriptive processing of acquired data.
  • Tables, graphs, their interpretation.
  • Test hypothesis.
  • Interpretation of statistical test results.
  • Coding of acquired data and their analysis and synthesis.
    required literature
  • šablona závěrečných prací https://is.muni.cz/auth/do/mu/Uredni_deska/Predpisy_MU/Lekarska_fakulta/Smernice/SD2020-02/
Teaching methods
lectures, exercises
Assessment methods
The credit is awarded after submitting the processed metodic and analytical part of the diploma thesis.
Language of instruction
Further comments (probably available only in Czech)
Study Materials
Information on the extent and intensity of the course: 6.
Listed among pre-requisites of other courses
The course is also listed under the following terms autumn 2020, autumn 2021, autumn 2023.
  • Enrolment Statistics (autumn 2022, recent)
  • Permalink: https://is.muni.cz/course/med/autumn2022/MIKDS0343