title: Leveraging multidisciplinarity in a visual analytics graduate course.
abstract: Demand is growing in engineering, business, science, research, and industry for students with visual analytics expertise. However, teaching VA is challenging owing to the multidisciplinary nature of the topic, students' diverse backgrounds, and the corresponding requirements for instructors. This article reports best practices from a VA graduate course at Purdue University, where instructors leveraged these challenges to their advantage instead of trying to mitigate them.
authors.forename: Niklas
authors.initials: N
authors.lastname: Elmqvist
authors.forename: David S
authors.initials: DS
authors.lastname: Ebert
mesh_terms: D003196:Computer Graphics; D003299:Cooperative Behavior; D006801:Humans; D007196:Indiana; D048088:Informatics / Q000193:education*; D058025:Interdisciplinary Studies; D013334:Students