141033 UE M10 Digital Humanities für Turkologen (2022S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Di 01.02.2022 08:00 bis Fr 04.03.2022 09:00
- Abmeldung bis Do 31.03.2022 23:59
Details
max. 6 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 10.03. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 17.03. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 24.03. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 31.03. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 07.04. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 28.04. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 05.05. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 12.05. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 19.05. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 02.06. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 09.06. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 23.06. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Donnerstag 30.06. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
The assessment will be based on the midterm report and the project.
Mindestanforderungen und Beurteilungsmaßstab
Attendance (max. 3 times missing) and participation in the class as well as timely completion of the assignment.The final grade consists of three parts:1) 30% participation
2) 30% midterm report
2) 40% final project
2) 30% midterm report
2) 40% final project
Prüfungsstoff
The scale of the project and the report must comprise at least one of the following areas; textual analysis, network analysis, spatial analysis.
Literatur
Selected Readings:Orhan Pamuk. Kara Kitap. İstanbul: YKY, 2014.Kirschenbaum, Matthew. “What Is ‘Digital Humanities,’ and Why Are They Saying Such Terrible Things about It?” differences 25, no. 1 (2014): 46–63.Thaller, Manfred, "Geschichte der Digital Humanities", in Fotis Jannidis / Hubertus Kohle / Malte Rehbein (Hg.), Digital Humanities. Eine Einführung. Stuttgart 2017, 1-12:Lit, L. W. Cornelis; Morris; James H. and Çevik, Deniz, “A Digital Revival of Oriental Studies “, ILCEA 39 [Online]Folsom, Ed. “Database Genre: The Epic Transformation of Archives.” PMLA 122, no. 5 (October 2007): 1571–1579.Michael Buckland. "What is a 'document'?". JASIST Vol. 48, no. 9 (September 1997): 804-809.Dönecke, Anna. “From Serial Sources to Modeled Data: Changing Perspectives on Eighteenth-Century Court Records from French Pondicherry,” Digital Methods for the Humanities: Challenges, Ideas, Perspectives. Schwandt S (Ed); Digital Humanities Research, 1. Bielefeld: Bielefeld University Press: 217–237.Rockwell, Geoffrey, "What is Text Analysis, Really?" Literary and Linguistic Computing 18:2 (2003): 209-219.Jockers, Matthew L.. Macroanalysis: Digital Methods & Literary History. Urbana, Chicago, and Springfield: University of Illionis Press, 2013.Moretti, Franco. Distant Reading. London: Verso, 2013.Elson, David, Nicholas Dames, and Kathleen McKeown. “Extracting Social Networks from Literary Fiction.” In ACL 2010, 138–47.
Zuordnung im Vorlesungsverzeichnis
M10
Letzte Änderung: Do 10.03.2022 10:48
How does the ability to digital analyse, reassess hundreds of thousands of texts, related networks and spatial information give us new insights into the history, history of literature and culture? In order to address this question the course consists of 4 main goals: introduce the participants to a) the basic concepts and practices of Digital Humanities tools, technologies and methodologies, b) the major categories of digital analysis (text analysis, network analysis, spatial analysis); c) the related projects, databases of Turkish Studies; and d) allow the participants the opportunity to develop their own experimental projects.