The structure of the Digital Humanities master’s program at University of Stuttgart is characterized by a big proportion of classes related to natural language processing. In this paper, we discuss the motivation for this design and associated challenges students and teachers are faced with. To provide background information, we also sum up our underlying perspective on Digital Humanities. Our discussion is driven by a qualitative analysis of a survey handed to the students of the program.
@inproceedings{ Reiter2017ab,
Title = {{Teaching Computational Aspects in the Digital Humanities Program at University of Stuttgart – Intentions and Experiences}},
Address = { Berlin, Germany },
Author = { Nils Reiter and Sarah Schulz and Gerhard Kremer and Roman Klinger and Gabriel Viehhauser and Jonas Kuhn },
Booktitle = {{Proceedings of the Workshop on Teaching NLP for Digital Humanities (Teach4DH 2017) co-located with GSCL 2017}},
Pages = { 43-48 },
Month = { September },
Year = { 2017 }
}
TY -
TI - Teaching Computational Aspects in the Digital Humanities Program at University of Stuttgart – Intentions and Experiences
AU - Nils Reiter
AU - Sarah Schulz
AU - Gerhard Kremer
AU - Roman Klinger
AU - Gabriel Viehhauser
AU - Jonas Kuhn
PY - 2017
CY - Berlin, Germany
J2 - Proceedings of the Workshop on Teaching NLP for Digital Humanities (Teach4DH 2017) co-located with GSCL 2017
ER -