E8700 Topics on data management, analysis and visualization

Faculty of Science
Spring 2025
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)
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 31. 3. 14:00–17:00 F01B1/709, Mon 28. 4. 14:00–17:00 F01B1/709, Mon 12. 5. 14:00–17:00 F01B1/709, Fri 23. 5. 10:00–12:00 F01B1/709, 14:00–17:00 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
Course objectives
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.
Syllabus
  • Topics for Spring 2025 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).
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
Teaching methods
Practically oriented-teaching will take place in blocks. 31/3 14:00-17:00 28/4 14:00-17:00 12/5 14:00-17:00 23/5 10:00-12:00 + 14:00-17:00
Assessment methods
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)
The course is taught annually.
Teacher's information
The lessons are taught in blocks. Dates for the period spring 2025 will be specified.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/spring2025/E8700