The constant efforts to digitalize our past, whether it be ancient texts
or artifacts, ensures that the modern humanist is increasingly facing the
prospect of studying digital representations of their subjects. This course
aims to introduce students to current methods and approaches dedicated to the
study of these digital sources, as well as to investigate what new
questions can be answered by studying the digital material through
state-of-the-art case studies. Throughout this process, students will learn to
use some of the common tools in digital scholarship, starting from
bibliographic management tools such as Zotero, to more complex computational
tools such as those for Optical Character Recognition (OCR), as well as a
gentle introduction to the use of Machine Learning in the humanities.
Mo. 14-16 Uhr
Raum: MA 143
Beginn: 17.10.2022
- Trainer/in: Hassan El-Hajj
- Trainer/in: Gesine Katharina Madeleine Finn
- Trainer/in: Ribal Zeitouni