| Course title | Advanced visualization of social science and spatial data |
|---|---|
| Course code | KPE/SAVSS |
| Organizational form of instruction | Lecture + Seminar |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Summer |
| Number of ECTS credits | 5 |
| Language of instruction | English |
| Status of course | Compulsory |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
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1) How to communicate sociological data? 2) Visualization of qualitative data (QCA analysis) 3) Visualization of qualitative text data 4) Visualization of quantitative data 5) Creation of interactive online charts 6) Editing of spatial data before visualization 7) Visualization of spatial data using GIS software 8) Visualization of spatial analyzes using GIS software 9) Fundamentals of spatial methods of election results analysis I. 10) Basics of spatial methods of analysis of election results II. 11) Spatial autocorrelation 12) Working with shapefiles, editing layers 13) Introduction to working with the QGIS program
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Arts | Study plan (Version): Data Analyst in Social Sciences (2023) | Category: Social sciences | 3 | Recommended year of study:3, Recommended semester: Summer |