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BSCS4001 - Data Visualization Design
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BSCS4001 - Data Visualization Design
316 words
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| Field | Value |
|---|---|
| Course Code | BSCS4001 |
| Level | Degree Level Course |
| Credits | 4 |
| Type | Elective |
| Pre-requisites | None |
📖 Description
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.
🗓️ Weekly Syllabus
| Week | Topic |
|---|---|
| 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 |
📝 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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