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Courses - Spring 2024
INST
Information Studies
Open Seats as of
02/23/2024 at 10:30 PM
INST762
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: INFM603, INST630, or JOUR652; or permission of instructor.
Restriction: Permission of INFO-College of Information Studies.
Credit only granted for: INST728Q OR INST762.
Formerly: INST728Q.
Visual analytics is the use of interactive visual interfaces to facilitate analytical reasoning. In essence, visual analytics is based on the--not uncontroversial--idea that humans and computers working alone are insufficient for the data challenges of today and tomorrow, and that effective synthesis of both humans and computational algorithms are needed to create human-in-the-loop systems. Thus, visual analytics bridges human-centered disciplines such as visualization and human-computer interaction with computation-centered disciplines such as machine learning, probabilistic methods, and knowledge discovery. The course contents will include both theoretical foundations of this interdisciplinary science as well as practical applications of integrated visual analysis techniques on real-world problems.