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Cultural Analytics (Spring 2021)
- Author(s):
- James E. Dobson (see profile)
- Date:
- 2021
- Subject(s):
- Digital humanities, Culture--Study and teaching, Culture--Data processing
- Item Type:
- Syllabus
- Tag(s):
- computational literary studies, cultural analytics, digital literary studies, Computational culture studies, Cultural studies
- Permanent URL:
- http://dx.doi.org/10.17613/yz9t-rh41
- Abstract:
- Cultural Analytics is an introductory course and assumes no prior knowledge of literary studies, critical approaches, statistics, or data analysis. This course provides an overview of emergent quantitative methods and theories used by humanists to study data in text and text as data. As we examine these objects, we’ll ask questions about the differences, in terms of methodology and interpretive practices, between the social sciences and the humanities. In developing answers to these questions, we will explore recent quantitative methods alongside traditional methods of humanistic inquiry. The goal of the course is to enable students to evaluate data, methods, and interpretations produced from quantitative research in the humanities and to conduct their own research.
- Metadata:
- xml
- Status:
- Published
- Last Updated:
- 2 years ago
- License:
- Attribution-NonCommercial-ShareAlike
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