Course DescriptionVisual analytics is the science of combining interactive visual interfaces and information visualization techniques with automatic algorithms to support analytical reasoning through human-computer interaction. People use visual analytics tools and techniques to synthesize information and derive insight from massive, dynamic, ambiguous, and often conflicting data, and to communicate their findings effectively for decision-making. This course assumes the student to have some knowledge in building interactive visual interfaces (in 2D or 3D), and will examine the interaction aspect of visual analytics. More specifically, we will review recent publications in the area of analytic provenance that describe methods for extracting user intent and reasoning from user behaviors and interaction logs. The goal of the course is to understand the state-of-the-art techniques and propose innovative research directions. Prerequisite: Instructor's Permission Schedule
PapersAccommodationTufts is committed to providing support services and reasonable accommodations to all students with documented disabilities. To request an accommodation, you must register with the Disability Services Office at the beginning of the semester. To do so, call the Student Services Desk at (617) 627-2000 to arrange an appointment with Sandra Baer, Program Director of Disability Services.Acknowledgement |
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