FF:MVK_29 Data processing and visualizat - Course Information
MVK_29 Data processing and visualization
Faculty of ArtsAutumn 2023
- Extent and Intensity
- 0/1/0. 3 credit(s). Type of Completion: k (colloquium).
- Teacher(s)
- doc. Ing. Vilém Pařil, Ph.D. (lecturer)
doc. Ing. František Svoboda, Ph.D. (seminar tutor) - Guaranteed by
- doc. Ing. František Svoboda, Ph.D.
Department of Musicology – Faculty of Arts
Contact Person: Ing. Alena Albíniová
Supplier department: Department of Musicology – Faculty of Arts - Timetable
- each odd Thursday 12:00–13:40 N42
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
The capacity limit for the course is 10 student(s).
Current registration and enrolment status: enrolled: 11/10, only registered: 2/10 - fields of study / plans the course is directly associated with
- there are 10 fields of study the course is directly associated with, display
- Course objectives
- The aim of the course is learn how to handle with various data sets, to obtain necessary information from them and to visualize them in a comprehensible way.
- Learning outcomes
- Students will be able to: - work with Excel and ArcGIS. - Acquire and extract data of various kinds - visualize the necessary information
- Syllabus
- - data sources - data processing - visualization
- Literature
- recommended literature
- ČERNÝ, Michal. Analýza a vizualizace dat – základ pro informační analytiky (Analysis and visualization of data - a source for information). In Moderní trendy ve výuce matematiky a přírodovědných předmětů III. 2013. ISBN 978-80-210-6490-4. info
- Teaching methods
- lectures, group projects, presentations
- Assessment methods
- final group project
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually. - Teacher's information
- Computer with Microsoft Windows is neccessary.
- Enrolment Statistics (Autumn 2023, recent)
- Permalink: https://is.muni.cz/course/phil/autumn2023/MVK_29