Description
This course provides a foundation in the history, concepts, methodologies, and tools of digital humanities research. Students learn to critically evaluate and incorporate computational and data-driven methods into their research, as well as achieve a baseline fluency in accessing, filtering, and analyzing humanities datasets. No prerequisites or preexisting technical skills are required. Students working with texts, images, and artifacts are welcome.
Sample Reading List
- Christine L. Borgman, Big Data, Little Data, No Data: Scholarship in the Networked
- Jacqueline Wernimont, Numbered Lives: Life and Death in Quantum Media
- Matthew Kirschenbaum, Bitstreams: The Future of Digital Literary Heritage
- Janneke Adema, Living Books: Experiments in the Posthumanities
- Johanna Drucker, Graphesis: Visual Forms of Knowledge Production
- Taylor Arnold and Lauren Tilton, Distant Viewing: Computational Exploration of Digital Images
See instructor for complete list.
Requirements/Grading
- Paper in lieu of final - 40%
- Programming assignments - 30%
- Class/precept participation - 30%
Other Requirements
- Open to Graduate Students Only.
Prerequisites and Restrictions
Enrollment preference will be given to students pursuing the Graduate Certificate in Digital Humanities.