IF4004 Visualization Techniques Syllabus:

IF4004 Visualization Techniques Syllabus – Anna University PG Syllabus Regulation 2021

OBJECTIVES:

 To understand the fundamentals of data visualization.
 To know the working principles of various information visualization tools.
 To acquire knowledge about the issues in data representation.
 To visualize the complex engineering design.
 To gain skill in designing real time interactive information visualization system.

UNIT I INTRODUCTION

Introduction – Visualization Stages – Computational Support – Issues – Different Types of Tasks – Data representation – Limitation: Display Space, Rendering Time, Navigation Link.
Suggested Activities:
 Blended Learning – Displaying Different types visualization images.
 Flipped classroom on task of representing information.
 External learning – Problems related to acquiring data.
Suggested Evaluation Methods:
 Tutorial – Different data visualizing images.
 Assignment on different data acquiring methods.
 Quizzes on issues and solutions in different visualization applications.

UNIT II DATA REPRESENTATION

Human Factors – Foundation for a Science of Data Visualization – Environment- Optics – Optimal Display – Overview about Lightness, Brightness, Contrast, Constancy, Color –Visual Attention that Pops Out – Types of Data – Data Complexity – The Encoding of Values – Encoding of Relation – Relation and Connection – Alternative Canvass.
Suggested Activities:
 Blended learning – Human Visual and Auditory System.
 Flipped classroom on color formats.
 External learning – Survey on different human computer interaction and types of user interface.
Suggested Evaluation Methods:
 Assignment on human visual and auditory system.
 Quizzes on various color format.
 Assignment on human computer interaction user interface.

UNIT III DATA PRESENTATION

Human Vision – Space Limitation – Time Limitations – Design – Exploration of Complex Information Space – Figure Caption in Visual Interface – Visual Objects and Data Objects – Space Perception and Data in Space – Images, Narrative and Gestures for Explanation.
Suggested Activities:
 Blended learning – Drawing Charts for display.
 Flipped classroom on various presentation techniques.
 External learning – Different font and font styles, symbols and Gesture representation.
Suggested Evaluation Methods:
 Assignment on chart preparation.
 Tutorial – Various presentation techniques.
 Assignment on gesture presentation.

UNIT IV INTERACTION AND DESIGN

Norman’s Action Cycle – Interacting with Visualization – Interaction for Information Visualization – Interaction for Navigation – Interaction with Models – Interacting with Visualization – Interactive 3D Illustrations with Images and Text – Personal View – Attitude – user perspective – Convergence – Sketching – Evaluation.
Suggested Activities:
 Flipped classroom on various interacting Techniques.
 External learning – Interaction facilities and high level support for animation design.
Suggested Evaluation Methods:
 Tutorial – Interaction models.
 Assignment on animation design.

UNIT VCURRENT TRENDS

Design – Virtual Reality: Interactive Medical Application – Tactile Maps for visually challenged People – Animation Design for Simulation – Integrating Spatial and Nonspatial Data – Innovating the Interaction – Small Interactive Calendars – Selecting One from Many – Web Browsing Through a Key Hole – Communication Analysis – Archival Galaxies.
Suggested Activities:
 Flipped classroom on implementation of virtual reality environment.
 Mini project for designing and implementing a innovative interfaces.
Suggested Evaluation Methods:
 Demonstration of the mini project.
 Tutorial – Virtual reality application.

TOTAL: 45 PERIODS

OUTCOMES:

On completion of the course, the students will be able to:
 Apply mathematics and basic science knowledge for designing information visualizing System.
 Collect data ethically and solve engineering problem in visualizing the information.
 Implement algorithms and techniques for interactive information visualization.
 Conduct experiments by applying various modern visualization tool and solve the space layout problem.
 Analyze and design system to visualize multidisciplinary multivariate Data individually or in teams.
 Develop a cost effective and a scale able information visualization system.

REFERENCES:

1. Robert Spence, “Information Visualization: An Introduction”, Third Edition, Pearson Education, 2014.
2. Colin Ware, “Information Visualization Perception for Design”, Third Edition, Morgan Kaufmann, 2012.
3. Robert Spence, “Information Visualization Design for Interaction”, Second Edition, Pearson Education, 2006.
4. Benjamin B. Bederson, Ben shneiderman, “The Craft of Information Visualization”, Morgan Kaufmann, 2003.
5. Thomas Strothotte, “Computational Visualization: Graphics, Abstraction and Interactivity”, Springer, 1998.
6. Matthew O. Ward, George Grinstein, Daniel Keim, “Interactive Data Visualization: Foundation, Techniques and Applications”, Second Edition, A.K.Peters/CRC Press, 2015.
7. Joerg Osarek, “Virtual Reality Analytics”, Gordon’s Arcade, 2016.