C35/C85 Interactive Data Visualization and Society
- Offered under: 6.C35, 6.C85, 11.C35, 11.C85
- Term(s): Spring
- Level: Undergraduate, Graduate
- Units: 12
- Prerequisite: None
- Instructors: Arvind Satyanarayan (EECS), Ashley Louie (LCAU/Civic Design Lab)
About the course:
The world is awash with increasing amounts of data, and we must keep afloat with our relatively constant perceptual and cognitive abilities. Visualization provides one means of combating information overload, as a well-designed visual encoding can supplant cognitive calculations with simpler perceptual inferences and improve comprehension, memory, and decision-making. Moreover, visual representations may help engage more diverse audiences in the process of analytic thinking.
By the end of this course, you should expect to be able to:
- Understand key visualization techniques and theory.
- Wrangle and explore datasets through visualization using Tableau.
- Implement interactive data visualizations using D3.js.
- Read and discuss visualization research papers (graduate students only).
- Design, evaluate, and critique visualization designs.
- Tell stories with data, and use visualization for policy change.
- Develop a substantial visualization project.
What requirements does this fulfill?
- Fulfills the workshop requirement for the 11-6 Major.
- Can count for urban science elective credit for the 11-6 Major.
- 6.C35 fulfills DLAB and II requirements, and counts as a “computers and society” or “human-computer interaction” subject for 6-3, or “human-centric” subject in 6-4.
- 6.C85 fulfills the AAGS, AUS, and II requirements, and counts for the “Graphics and HCI” MEng concentration.
- 6.C85 counts for “Group 1” in the PhD TQE grid.