IT505SE-05: Data VIsualization Syllabus for IT 5th Sem 2019-20 DBATU (Elective-IV)

Data VIsualization detailed syllabus scheme for Information Technology (IT), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.

For 5th Sem Scheme of Information Technology (IT), 2019-20 Onwards, do visit IT 5th Sem Scheme, 2019-20 Onwards. For the Elective-IV scheme of 5th Sem 2019-20 onwards, refer to IT 5th Sem Elective-IV Scheme 2019-20 Onwards. The detail syllabus for data visualization is as follows.

Data VIsualization Syllabus for Information Technology (IT) 3rd Year 5th Sem 2019-20 DBATU

Course Objectives:

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Course Outcomes:

After learning the course the students should be able:

1. To understand and apply principles of data visualization
2. To acquire, parse, and analyze abstract data sets
3. To design and implement standard visualization techniques
4. To evaluate existing visualizations quantitatively and qualitatively
5. To prototype visualizations rapidly

Unit I

FOUNDATIONS FOR DATA VISUALIZATION: Introduction to Visualization – Visualization stages – Experimental Semiotics based on Perception – Gibsons Affordance theory – A Model of Perceptual Processing – Costs and Benefits of Visualization – Types of Data.

Unit II

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit III

MULTIDIMENSIONAL VISUALIZATION: 1D, 2D, 3D – Multiple Dimensions – Trees – Web Works – Data Mapping: Document Visualization – Workspaces.

Unit IV

TEXTUAL METHODS OF ABSTRACTION: From Graphics to Pure Text – Figure Captions in Visual Interfaces -Interactive 3D illustrations with images and text – Related work – Consistency of rendered – images and their textual labels – Architecture – Zoom techniques for illustration purpose – Interactive handling of images and text.

Unit V

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
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Unit VI

Case Studies: Small interactive calendars – Selecting one from many – Web browsing through a key hole -Communication analysis – Archival analysis

Text Books:

1. Colin Ware, Information Visualization Perception for Design, 3rd edition, Morgan Kaufman 2012.
2. Stuart.K.Card, Jock.D.Mackinlay and Ben Shneiderman, Readings in Information Visualization Using Vision to think, Morgan Kaufmann Publishers, 1999.
3. Thomas Strothotte, Computer Visualization-Graphics Abstraction and Interactivity, Springer Verlag Berlin Heiderberg 1998.

Reference Book:

1. Chaomei Chan, Information Visualization, Beyond the Horizon, 2nd edition, Springer Verlag, 2004.
2. Pauline Wills, Visualisation: A Beginners Guide, Hodder and Stoughlon, 1999.
3. Robert Spence Information visualization – Design for interaction, Pearson Education, 2nd edition, 2007
4. Stuart.K.Card, Jock.D.Mackinlay and Ben Shneiderman, Readings in Information Visualization Using Vision to think, Morgan Kaufmann Publishers.

For detail syllabus of all subjects of Information Technology (IT) 5th Sem 2019-20 onwards, visit IT 5th Sem Subjects of 2019-20 Onwards.