(in Polish) Social Science Methods 3700-ISSC-SSM-WOR
This course provides a practical overview of the main techniques of collecting and analysing data in the social sciences. Students will have the opportunity to gain hands-on experience in data collection and analysis by designing their own small-scale research project, collecting data, and conducting preliminary analysis.
The qualitative module aims to familiarise students with the different stages of the data collection and analysis process. Classes focus on the types of qualitative research designs and their differences. Students will have an opportunity to design their own small-scale qualitative study. They will also learn the ways to collect and analyse data. Eventually, students will have a chance to add up all the pieces and present the group or individual research projects they developed throughout the workshop.
The quantitative module teaches students how to find or generate quantitative data, and then analyse and present it. In the module, students will gain experience working with secondary data sources and using the free statistical software R. They will take advantage of AI in supporting their data analysis. They will design and execute their own survey. Later, they will prepare the data, analyse it, and generate visualisations to present the results.
Course coordinators
Learning outcomes
KNOWLEDGE:
- Upon completion of this course, students will possess a thorough knowledge of the terminology used in the field of social sciences. They will be able to appreciate their significance in shaping culture. They will also gain a deep understanding of the latest advanced methods used in social research for the analysis and interpretation of data (K_W04)
- They will be familiarised with the most crucial interdisciplinary research methods that are being employed today (K_W08).
SKILLS:
- Upon completion of this course, students will be able to effectively plan and organise group work, including defining goals, stages, roles, and selection of appropriate methods. Furthermore, they will be able to participate in teamwork in various roles (K_U11).
SOCIAL COMPETENCIES:
- Work collaboratively on projects within a team environment (K_K02)
Assessment criteria
The assessment components for this course consist of:
● (30%) Weekly assignments/Group work (based on the weekly task completion)
● (60%) Final research report (30% quantitative, 30% qualitative parts)
● (10%) Attendance and professionalism
Absence limit: 1 day
If a student exceeds 50% of missed classes, she/he must retake the class.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: