Visualization Design Methods.

Catalog description

Data visualization combines computational, design, and cognitive principles to help people explore, communicate, and analyze large datasets. Developing effective visualizations often requires working closely with interdisciplinary teams to authentically reflect the needs of a data problem. This course will provide a hands-on introduction to common design methods for creating visualizations in different domains and problem constraints. Students will work with a variety of datasets to generate visualization solutions leveraging various design methodologies and media. Topics will include data sketching and crafting, user-centered design, task-driven design, cognitively-driven design, quantitative and qualitative experimental methods, and workshop methods.