E8700 Topics on data management, analysis and visualization

Faculty of Science
Spring 2026
Extent and Intensity
0/1/0. 2 credit(s). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
RNDr. Martin Komenda, Ph.D., MBA (lecturer)
Hlib Aleksandrenko, MPH (lecturer)
Mgr. Michal Vičar, MBA (lecturer)
Bc. Kateřina Bálint (lecturer)
Mgr. Michaela Jochcová (lecturer)
Guaranteed by
RNDr. Martin Komenda, Ph.D., MBA
RECETOX – Faculty of Science
Contact Person: RNDr. Martin Komenda, Ph.D., MBA
Supplier department: RECETOX – Faculty of Science
Timetable
Mon 16. 2. to Fri 22. 5. Wed 8:00–9:50 F01B1/709
Prerequisites
General interest in a domain of data processing, analysis and visualisation.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Abstract
The course details selected topics in data processing, analysis, and visualisation. Topical projects will always be chosen based on the presentation of the application of proven data mining methodologies and methods, analytical procedures and techniques in practice. Each session will be divided into the necessary theoretical background and practical outputs and the solution of research questions in collaboration with students.
Learning outcomes
Student understands the need of systematic usage of data mining methodological background.
Student meets up-to-date trends in a domain of data processing, analysis and visualisation.
Student adopts new techniques during a solution of pilot research projects.
Key topics
Topics for Spring 2026 will be selected in collaboration with instructors at the beginning of the semester. They will be based on the thematic chapters published in the book Data-driven decision-making in medical education and healthcare (https://iba.med.muni.cz/en/data-rulezzz).
Study resources and literature
    required literature
  • KOMENDA, Martin. Data-driven decision-making in medical education and healthcare. 1st ed. Brno: koedice Masarykova univerzita / Ústav zdravotnických informací a statistiky ČR, 2023. ISBN 978-80-280-0392-0. info
Method of verifying learning outcomes and course completion requirements
At least 80 % of attendance. Attendance of at least 80% + active participation + completion of the assignment.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
The course will be taught once every 14 days, starting on February 17, 2026.
The course is also listed under the following terms Spring 2025, Spring 2027.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/spring2026/E8700