"Literary Data: Some Approaches"
- Andrew Goldstone
- Lauren F. Klein
- Item Type:
- Course Material or learning objects
- DPiH, DPiH Code, DPih Course Material or learning objects, Syllabus, Practice, Learning objectives, Data, Project, Digital pedagogy, Interdisciplinary
- Permanent URL:
- Curatorial note from Digital Pedagogy in the Humanities: Andrew Goldstone’s syllabus for a graduate course on literary data is explicit about its dual aims: “to engage with the history and current practice of literary data analysis, and to introduce the foundational skills of literary data analysis in the R programming language.” Through readings on the history and theory of data, coupled with programming exercises designed to introduce students to basic computational operations and constructs, Goldstone provides a model for how students might apply computational methods to humanistic research questions with historical, theoretical, and technical considerations in mind. Its focus on literary data functions as a valuable illustration of how a disciplinary focus can lead to greater depth of understanding; and its hybrid class structure might present a model for how to teach programming in the context of a humanities seminar.
- This deposit is part of Digital Pedagogy in the Humanities. Digital Pedagogy in the Humanities is a peer-reviewed, open-access publication edited by Rebecca Frost Davis, Matthew K. Gold, Katherine D. Harris, and Jentery Sayers, and published by the Modern Language Association. https://digitalpedagogy.hcommons.org/.
- Last Updated:
- 3 years ago
- Share this:
Item Name: code-litdata.pdf Download View in browser Activity: Downloads: 29