Course Details

Course Name
HUMN 272 Data Visualization for DH
Course Type
Course
Institution
Bucknell University
Department
Comparative and Digital Humanities
Information
http://datavizfordh.blogs.bucknell.edu/
Curriculum
http://coursecatalog.bucknell.edu/collegeofartsandsciencescurricula/areasofstudy/digitalhumanities/
Status
record actively maintained
Course Language
English
Start Date
2018-01-15
recurring
ECTS
-
Lecturer
Katherine Faull
PID
Disciplines: Arts and Cultural Studies, Literary and Philological Studies, Media and Communication Studies, Theory and Methodology of DH
Techniques: Mapping, Pattern Recognition
Objects: Curricula, DigitalHumanities, Data, Images, Metadata, Multimodal, Tools, Visualization
Access Requirements
HUMN 100-01 or 03 preferred, some programming experience
Description
How do scholars 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. Students will have the option of learning D3 java script libraries Required Texts/sites: 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 Scott Murray
Keywords
Disciplines: Arts and Cultural Studies, Literary and Philological Studies, Media and Communication Studies, Theory and Methodology of DH
Techniques: Mapping, Pattern Recognition
Objects: Curricula, DigitalHumanities, Data, Images, Metadata, Multimodal, Tools, Visualization