Geometric Data Analysis
Syllabus, Master's level, 4UK099
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Sociology of Education A1N
- Grading system
- Fail (U), Pass (G), Pass with distinction (VG)
- Finalised by
- The Department Board, 15 March 2016
- Responsible department
- Department of Education
The course is part of the Master's Programme in Sociology of Education. The course can also be offered as an elective course.
Bachelor's degree corresponding to at least 180 credits, including at least 90 credits from disciplines pertaining to social sciences or the humanities.
The course provides a general introduction to the mathematical basics of geometrical data analysis and an understanding of how these methods can be applied to studies in the social sciences and the humanities
After completion of the course students should be able to
- explain and present basic mathematical premises for geometric data analysis
- use statistical software for geometric data analysis
- carry out geometric data analyses based on empirical data
- critically analyse to what studies geometric data analysis can be applied and in what ways geometric data analysis can be best used in specific examples
- Basic mathematical premises for geometric data analysis
- Application of geometric data analysis
- Geometric data analysis in social sciences and humanities
The course consists of lectures in mathematics and sociology and working sessions.
The assessment is based on a written assignment which presents a geometric data analysis based on empirical data.