IT259
Course Name:
Data Visualisation (IT259)
Programme:
B.Tech (AI)
Category:
Programme Specific Electives (PSE)
Credits (L-T-P):
(3-0-2) 4
Content:
Overview of visualization, graphics, drawing, photorealism, human perception - Visualization of Numerical Data- Data, mapping, charts, glyphs, parallel coordinates, stacked graphs, Tufte's design rules, using color - Visualization of Non-Numerical Data - Graphs, networks, treemaps, Principle Component Analysis, multidimensional scaling, packing - Visualization systems, Information Visualization, database visualization, visualization system design - - Trends in Data Visualization and Other Tools - Declarative programming, reactive programming.
References:
Visualization Analysis and Design, Tamara Munzner, AK Peters Visualization Series, CRC Press, Nov. 2014
Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics Nathan Yau, Wiley (2011)
Donahue, Rafe. "Fundamental statistical concepts in presenting data: principles for constructing better graphics." (2011).
Department:
Information Technology