FF:DKKP_P_18 Digital culture 1 - Course Information
DKKP_P_18 Methodology of digital culture research
Faculty of ArtsAutumn 2022
- Extent and Intensity
- 2/0/0. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Viktor Pantůček, Ph.D. (lecturer)
- Guaranteed by
- Mgr. Viktor Pantůček, Ph.D.
Department of Musicology – Faculty of Arts
Contact Person: Mgr. Jan Karafiát
Supplier department: Department of Musicology – Faculty of Arts - 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
- Digital Culture and Creative Industries (programme FF, D-DCCI_)
- Digital Culture and Creative Industries (programme FF, D-DKKP_)
- 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.
- 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.
- 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.
- 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 taught: every other week.
- Enrolment Statistics (Autumn 2022, recent)
- Permalink: https://is.muni.cz/course/phil/autumn2022/DKKP_P_18