How do we in the Digital Humanities design visualizations of patterns of information and networks? What counts as data in the humanities? And what does the visualization of this data reveal that differs from traditional/analog methods of humanistic enquiry? How do we “see” texts?
This course builds on the tools and methods learned in HUMN 100 to deepen students’ understanding of how visualization works in the humanities and to learn how design affects interpretation. The course surveys and develops students’ familiarity with a breadth of visualization tools and culminates in students developing their own data visualizations with their own datasets.
In this class students will learn to use:
Students will have the option of learning
Required Texts/sites:
- Visualcomplexity.com
- Manuel Lima: Visual Complexity: Mapping Patterns of Information, Princeton Architectural Press, 2011
- Edward Tufte: Visual Explanations: Images, Quantities, Evidence, and Narrative (1997)
- Literary Studies in the Digital Age:An Evolving Anthology,
https://dlsanthology.commons.mla.org/ - Optional: Stephen Thomas: Data Visualization with Javascript (2015)
- and/or Interactive Data Visualization for the Web by (free online version)
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