Visualization and visual analytics systems help people explore and explain data by allowing the creation of both static and interactive visual representations. A basic premise of visualization is that visual information can be processed at a much higher rate than raw numbers and text. Well-designed visualizations substitute perception for cognition, freeing up limited cognitive/memory resources for higher-level problems. This course aims to provide a broad understanding of the principals and designs behind data visualization. General topics include state-of-the-art techniques in both information visualization and scientific visualization, and the design of interactive/web-based visualization systems. Hands on experience will be provided through popular frameworks such as matplotlib, VTK and D3.js.
Ctr for Urban Sci and Progress (Graduate)
3 credits – 15 Weeks
Sections (Spring 2023)
CUSP-GX 6006-000 (7543)01/23/2023 – 05/08/2023 Wed8:00 AM – 10:00 AM (Morning)at Brooklyn CampusInstructed by Sun, Qi