Education

CMDA/CS/STAT 3654 is a new course, and part of the new CMDA undergraduate degree in Computational Modeling and Data Analytics.
It covers: Basic principles and techniques in data analytics; methods for the collection of, storing, accessing, processing, and analyzing standard-size and large datasets; data visualization; and identifying sources of bias. Applications to real-world case studies.
Typically taught in Spring semester.
Website on Scholar.

Graduate special topics course on Visual Analytics. This course takes a look at the practice of visual analytics, including the use of structured analytic techniques used by practitioners, as well as the research issues in analytical reasoning, visual representations and interaction, and data transformation.
Website on Scholar.