136033 SE Research Seminar Digital Humanities (2024W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Fr 06.09.2024 08:00 bis Do 26.09.2024 23:59
- Abmeldung bis Do 31.10.2024 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Montag 07.10. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 14.10. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 21.10. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 28.10. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 04.11. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 11.11. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 18.11. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 25.11. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 02.12. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 09.12. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 16.12. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 13.01. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 20.01. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
- Montag 27.01. 09:45 - 12:15 Seminarraum 5, Kolingasse 14-16, EG00
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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.
Art der Leistungskontrolle und erlaubte Hilfsmittel
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.
Mindestanforderungen und Beurteilungsmaßstab
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.
Prüfungsstoff
Based on seminar paper topics chosen by students.
Literatur
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.
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.
Zuordnung im Vorlesungsverzeichnis
DH/DS/BI / DHP-S
Letzte Änderung: Fr 27.09.2024 15:26