AI252

Course Name: 

Data Visualisation (AI252)

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
 

Contact us

Head of the Department,
Department of Information Technology,
National Institute of Technology Karnataka,
SurathkalP. O. Srinivasnagar, Mangalore - 575 025
Ph.:    +91-824-2474056
Email:  hodit [at] nitk [dot] edu [dot] in
 

Web Admin: Sowmya Kamath S

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