DKKP_P_K18 Methodology of digital culture research

Faculty of Arts
Autumn 2021
Extent and Intensity
2/0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Mgr. Jakub Macek, Ph.D. (lecturer)
Guaranteed by
doc. Mgr. Jakub Macek, Ph.D.
Department of Musicology – Faculty of Arts
Contact Person: Mgr. Jan Karafiát
Supplier department: Department of Musicology – Faculty of Arts
Timetable
Mon 13. 9. 9:00–10:40 N31, Mon 27. 9. 9:00–10:40 N31, Mon 25. 10. 9:00–10:40 N31, Mon 8. 11. 9:00–10:40 N31
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to deepen students' knowledge of research methods in the field of digital culture with a focus on the methodological problems of specific dissertation projects and new or innovative methodological approaches.
Learning outcomes
Students will be able to:
- demonstrate profound knowledge of the research method of their dissertation;
- describe new and innovative research methods in the field of digital culture.
Syllabus
  • - Digital culture as a science
  • - Methodological strategies
  • - Current trends in digital culture methodology
  • - Discussion of dissertation projects and their methodological problems
Literature
    recommended literature
  • LEVENBERG, Lewis, Tai NEILSON a David RHEAMS. Research methods for the digital humanities. Cham: Palgrave Macmillan, 2018. ISBN 978-3-319-96712-7.
  • BURDICK, Anne, Johanna DRUCKER, Peter LUNENFELD, Todd Samuel PRESNER a Jeffrey T. SCHNAPP. Digital_Humanities. Praha: Academia, 2019. XXI. století. ISBN 978-80-200-2865-5.
  • JENKINS, Henry. Convergence culture: where old and new media collide. New York: New York University Press, c2008. ISBN 978-0-8147-4295-2.
  • BOLTER, Jay David. The digital plenitude: the decline of elite culture and the rise of new media. Cambridge, Massachusetts: MIT Press, [2019]. ISBN 978-0-262-03973-4.
  • RABUŠIC, Ladislav, Petr SOUKUP and Petr MAREŠ. Statistická analýza sociálněvědních dat (prostřednictvím SPSS) (Statistical data analysis (with SPSS)). 2. přepracované vyd. Brno: Masarykova univerzita, 2019, 573 pp. ISBN 978-80-210-9247-1. URL info
Teaching methods
Lectures, discussions, homework, presentations.
Assessment methods
- Attendance will constitute 50% of the overall assessment
- Submission of a written paper (20 pages), in which the method of dissertation is described in the context of other methodologies
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is also listed under the following terms Autumn 2020, Spring 2021, Spring 2022, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2021, recent)
  • Permalink: https://is.muni.cz/course/phil/autumn2021/DKKP_P_K18