Inhalt

[ 994ESDGMESS22 ] SE Introduction to social science/sociological theories (in) digital society.

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
6 ECTS M1 - Master's programme 1. year Social Science Dimitri Prandner 4 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Digital Society 2025W
Learning Outcomes
Competences
Students are able to independently plan and conduct small-scale social science research projects, as well as select methodologically sound research approaches. They possess the competence to critically and reflectively assess the relevance, opportunities, and limitations of digital research methods compared to traditional approaches in social science research, and can identify suitable methods for problem-solving in digital research fields. Additionally, they are equipped to handle digital data in a critical and ethically informed manner, taking into account data protection, copyright issues, and research ethics guidelines.
Skills Knowledge
  • Independently collecting, processing, and analyzing digital data, and clearly presenting the obtained findings.
  • Selecting appropriate research designs for specific projects (e.g., conducting online surveys, implementing web interviews, and analyzing social media data).
  • Effectively communicating the results of digital data analyses in various formats (presentations, reports, visual representations).
  • Critically evaluating data sources, applying suitable sampling strategies in the digital realm, and choosing appropriate analytical procedures.
  • Basic proficiency in using common analytical tools (e.g., SPSS, R, Python).
  • In-depth theoretical foundations of empirical social research, particularly in the digital context.
  • Understanding of various research designs and the key differences between traditional and digital methods of empirical social research.
  • Familiarity with selected Computational Social Science (CSS) methods for collecting, processing, and analyzing digital data (e.g., online surveys, web interviews, social media analyses).
  • Basic knowledge of ethical and legal frameworks related to the collection and use of digital data.
Criteria for evaluation Active participation, oral presentation, seminar paper
Methods Lecture by instructors and students, term paper
Language German
Changing subject? No
On-site course
Maximum number of participants 30
Assignment procedure Assignment according to priority