Applications Open now for January 2025 Batch | Applications Close: January 02, 2025 | Exam: February 23, 2025

Applications Open now for January 2025 Batch | Applications Close: January 02, 2025 | Exam: February 23, 2025

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.

by Prof. Venkat

Course ID: BSCS4001

Course Credits: 4

Course Type: Elective

Pre-requisites: None

Course structure & Assessments

12 weeks of coursework, weekly online assignments, 2 in-person invigilated quizzes, 1 in-person invigilated end term exam. For details of standard course structure and assessments, visit 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
WEEK 5 Geo-visualization
WEEK 6 Map Abstraction
WEEK 7 Visual encoding of data
WEEK 8 Visualization design
WEEK 9 Data Stories
WEEK 10 Project presentations, Wrap up and course summary
+ Show all weeks

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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