N_VDK Research of digital cultures and AI

University of Finance and Administration
Winter 2024
Extent and Intensity
1/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Jitka Cirklová, M.A., Ph.D. (seminar tutor)
Guaranteed by
Mgr. Jitka Cirklová, M.A., Ph.D.
Subdepartment of Social Sciences – Department of Social Sciences – Departments – University of Finance and Administration
Contact Person: Dita Egertová
Timetable of Seminar Groups
N_VDK/cNPH: Thu 15:45–16:29 E304, Thu 16:30–17:15 E304, except Thu 24. 10. ; and Wed 13. 11. 15:45–17:15 E227, J. Cirklová
N_VDK/pNPH: each odd Thursday 17:30–18:14 E304, each odd Thursday 18:15–19:00 E304, except Thu 24. 10. ; and Thu 31. 10. 17:30–19:00 E304, J. Cirklová
Prerequisites
No prior knowledge of digital cultures or artificial intelligence is required, but basic understanding of sociological research methods is assumed.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The goal of this course is to introduce students to research methods in the field of digital cultures and artificial intelligence. Students will gain knowledge on how to analyze social interactions and cultural processes in digital environments. They will learn to design and conduct research projects focused on digital cultures and AI, write effective AI prompts, and present their research findings.
Learning outcomes
After completing the course, students will be able to: Apply sociological research methods in digital contexts; Critically assess the cultural implications of AI technologies; Design and conduct a research project focused on digital cultures and artificial intelligence; Write and evaluate AI prompts effectively; Present and defend their research findings.
Syllabus
Angličtina (Course Contents in English): Introduction to Digital Cultures and AI Sociological Research Methods for Digital Contexts Netnography – Researching Online Communities Art-Based Research Methods Ethical Considerations in Digital Research AI Prompt Writing Research Project Development Data Collection in Digital Research Data Analysis in Digital Culture Contexts Interpreting Results and Writing the Research Report Presentation and Defense of Research Findings Final Research Report Defense
Teaching methods
Lectures, seminars, class discussions, group projects, AI prompt writing, research report presentations.
Assessment methods
Students will be evaluated based on the execution of the research project (70%), written research report (20%), and its oral defense (10%).
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is also listed under the following terms Winter 2025.
  • Enrolment Statistics (Winter 2024, recent)
  • Permalink: https://is.vsfs.cz/course/vsfs/winter2024/N_VDK