Degree Level Course

Data Visualization Design

To provide students with the foundations necessary for understanding and extending the current state of the art in data visualization, to gain an understanding of the key techniques and theory used in visualization, including data models, graphical perception and techniques for visual encoding and interaction, to plan for data-based storytelling through charts, maps, and diagrams, to use visualization tools to transform quantitative information to visual representation, and to gain practical experience building and evaluating visualizations.

Taught by Prof. Venkat

Code BSCS4001

Credits 4 Credits

Type Elective

Prerequisites None

12-Week Roadmap

Course Structure & Syllabus

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For details of standard term assessment timelines and exam structures, visit our Academics page.

WEEK 1

Information visualization overview, historical perspective

WEEK 2

Vision, perception and cognition principles of information visualization

WEEK 3

Data principles and models

WEEK 4

Analysis and Insights

Faculty & Experts

About the Instructors

Prof. Venkat

Professor , IDC School of Design , IIT Bombay

Venkatesh Rajamanickam is a Professor at the IDC School of Design, IIT Bombay. He is a HCI designer, educator and researcher. His Information Design Lab at IIT Bombay utilizes graphic design, interactive computer graphics, data-processing algorithms and emerging technologies to address challenging problems in data, design and art. His research focuses on data-based and visual understanding of a range of issues from public understanding of science, urban living, politics, education, transportation, to generative art.

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