Inhalt

[ 994ESDGMESK22 ] VU Introduction to social science/sociological theories (in) digital society.

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Social Science Dimitri Prandner 2 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. The focus is on research planning and data collection.
Skills Knowledge
  • Independently collecting, processing, and analyzing digital data, and clearly presenting the obtained findings (k3, k4).
  • Selecting appropriate research designs for specific projects (e.g., conducting online surveys, analyzing social media data; k2, k3).
  • Critically evaluating data sources, applying suitable sampling strategies in the digital realm, and choosing appropriate analytical procedures (k2, k3).
  • 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.
  • Basic knowledge of ethical and legal frameworks related to the collection and use of digital data.
Criteria for evaluation Active participation, exam, exercise tasks
Methods Lecture, group work
Language German
Changing subject? No
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority