In summer semester me and Professor Rittberger will be giving a class about digital humanities at Hochschule Darmstadt in the major information science. Here is our syllabus, I will try to upload slides as well (but in German).
We want to give a broad overview about what Digital Humanities mean. There are also other classes dealing with text-mining, so we do not focus so much on it (there are four lessons about it, though)
- Introduction to Digital Humanities: What are DH, what can we do with digital methods
- Research methods: Qualitative and quantiative methods in social sciences, hermeneutics, virtual research environments
- Law, ethics: Basic understanding what law means and what problems it can cause. This leads to data management and open data
- XML: Basics about XML, why DTDs are useful, standards like TEI (2 sessions), XML regarding ontologies
- Editions and digitalization: What are editions, how can we create them digitally? How do we digitize content?
- Basics of Text analysis: Distant Reading, Google n-grams, how new methods in text analysis can help in research
- Named-Entity-Recognition: We chose this problem of NLP to give an overview of what can be done using new technology and also to compare approaches from computer science like machine learning with approaches from information science and semantic web
- Topic Modelling: Basic introdution and practial usage with R
- Network analysis: Basics of network analysis and how to use it for instance for plays. Tool: Gephi
- Geoinformation: How can we code geographical data, how can we use it in DH?
- 3D-Modelling: What new approaches are there using 3D-Modelling, how can we use it in DH? Tool: Blender