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This course introduces students to the fundamental principles and techniques of data visualization. It focuses on how to effectively communicate data-driven insights using a variety of visualization methods. The course blends theory with practical application, teaching students how to design, implement, and evaluate visualizations using tools such as R
Course Contents
Course Contents
COURSE OBJECTIVES
COURSE OBJECTIVES
To familiarize students with the basic and advanced techniques of information visualization and scientific visualization, learn key techniques of the visualization process, a detailed view of visual perception, the visualized data and the actual visualization, interaction and distorting techniques.
COURSE OUTCOMES
COURSE OUTCOMES
CO1 Explain the basic principles of Data Visualization. (Understand-L2)
CO2 Apply visualization techniques to a problem and its associated dataset. (Apply-L3)
CO3 Apply structured approach to create effective visualization. (Apply-L3)
CO4 Explain about the valuable insights from the massive dataset using visualization. (Understand L2)
CO5 Build visualization dashboard to support decision making. (Apply-L3)
COURSE ARTICULATION MATRIX
COURSE ARTICULATION MATRIX
TEXT BOOKS
TEXT BOOKS
TEXTBOOKS:
T1 WARD, GRINSTEIN, KEIM.Interactive Data Visualization: Foundations, Techniques, and Applications. Natick : A K Peters, Ltd, 2nd Edition.
T2 E. Tufte, The Visual Display of Quantitative Information, Graphics Press.
REFERENCE BOOKS:
R1 Visualization Analytics & Design, Tamara Munzner, AK Peters Visualization Series, 1st Edition.
R2 Interactive Data Visualization for the Web, Scott Murray, 2nd Edition.
For Prescribed Text Book Click Here
UNIT WISE BASIC IMPORTANT QUESTIONS
UNIT WISE BASIC IMPORTANT QUESTIONS
MID-1 IMPORTANT QUESTIONS
MID-1 IMPORTANT QUESTIONS
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