Universität Wien

136033 SE Research Seminar Digital Humanities (2024W)

4.00 ECTS (3.00 SWS), SPL 13 - Europäische und Vergleichende Sprach- und Literaturwissenschaft
Continuous assessment of course work
Moodle
Mo 14.10. 09:45-12:15 Seminarraum 5, Kolingasse 14-16, EG00

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Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 07.10. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 21.10. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 28.10. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 04.11. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 11.11. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 18.11. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 25.11. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 02.12. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 09.12. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 16.12. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 13.01. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 20.01. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
  • Monday 27.01. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00

Information

Aims, contents and method of the course

The aim of the seminar is to give students hands-on experience in the modelling of "real-world" humanities data via digital structures and technologies. We will begin with a review of the available data collection technologies (spreadsheets, relational databases, XML documents, RDF and graph databases) and their strengths and weaknesses for representation of complex data. This is accompanied by reading on the theoretical considerations around data modeling in the digital humanities. Based on these foundations, students will develop a data modelling project of their choice, relevant to their scholarly interests and with the intention (though not the obligation) of laying the foundation of their thesis project thereby.

Alongside the acquisition of hands-on data modelling skills, students will gain experience in seeking out relevant scholarly literature on a topic of their choosing and writing a critical response to this literature, which will be presented in class.

Assessment and permitted materials

Assessment will be based on participation (class discussions and preparation for same, via assigned readings), on the literature review, and especially on the seminar project, including presentation of its contents in class.

Minimum requirements and assessment criteria

Participation 20%, literature review 30%, seminar project 50% (exposé 15%, content 25%, presentation 10%). Format of the project (especially proportion of prose to code to dataset in the submission) is to be proposed in the exposé. Minimum requirement for positive evaluation in this class is a grade of 51% in EACH of the assessment categories.

Examination topics

Based on seminar paper topics chosen by students.

Reading list

Ciula, Arianna, Øyvind Eide, Cristina Marras, and Patrick Sahle. 2023. Modelling Between Digital and Humanities: Thinking in Practice. Open Book Publishers. https://doi.org/10.11647/obp.0369.
Flanders, Julia, and Fotis Jannidis, eds. 2018. The Shape of Data in Digital Humanities: Modeling Texts and Text-Based Resources. London: Routledge. https://doi.org/10.4324/9781315552941.

Association in the course directory

DH/DS/BI / DHP-S

Last modified: Fr 27.09.2024 15:26