BMI 706 - Data Science II: Data Visualization for Biomedical Applications

Course Director: Nils Gehlenborg

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Data visualization is an essential component of the analysis toolkit in any data-driven research endeavor. As the primary interface through which analysts are consuming data, data visualization can facilitate new discoveries but also mislead, bias, and slow down progress if done poorly. This visualization course will focus on the role of data visualization in biomedical data analysis applications and also cover the principles of perception and cognition relevant for data visualization. It will also introduce the data visualization design process, and visualization tools and techniques used in biomedical informatics. Major topics include interaction techniques and implementations, high-dimensional data, networks, genomes, time and event sequences, and common generic visualization systems. Students are expected to complete class readings, a final project, and make a final presentation.