141033 UE M10 Digital Humanities for Turkologists (2022S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Tu 01.02.2022 08:00 to Fr 04.03.2022 09:00
- Deregistration possible until Th 31.03.2022 23:59
Details
max. 6 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 10.03. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 17.03. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 24.03. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 31.03. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 07.04. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 28.04. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 05.05. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 12.05. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 19.05. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 02.06. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 09.06. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 23.06. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
- Thursday 30.06. 13:15 - 14:45 Seminarraum Assyrica UniCampus Hof 4 2D-O1-22
Information
Aims, contents and method of the course
Assessment and permitted materials
The assessment will be based on the midterm report and the project.
Minimum requirements and assessment criteria
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
Examination topics
The scale of the project and the report must comprise at least one of the following areas; textual analysis, network analysis, spatial analysis.
Reading list
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.
Association in the course directory
M10
Last modified: Sa 03.05.2025 00:12
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.