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Data Visualization

Data Visualization
460-4120/01
čeština Data Visualization
460-4120/02
angličtina

Summary

The aim of the course is to acquaint students with the problems of visualization and interpretation of various types of scientific, technical and abstract data. The basic principles and procedures of displaying interdisciplinary data are described and the acquired knowledge is used in the implementation of practical tasks in the field of visualization. Emphasis is placed on the adequacy of the chosen visualization tools and on the practical use of the acquired knowledge in the implementation of their own graphic outputs providing the most complete and undistorted picture of the processed data. Theoretical knowledge gained during the analysis of partial tasks serves as a basis for the practical implementation of specific examples in exercises. The exercises therefore correspond closely with the lectures and the practical implementation of the mentioned topics is assumed, especially in the C++, Python, and JavaScript languages.

Literature

[1] Telea, Alexandru C. Data visualization: principles and practice. Second edition. 617 s., A K Peters/CRC Press, ISBN 978-146-6585-263 , 2014.
[2] Wilke, Claus O. Fundamentals of data visualization: a primer on making informative and compelling figures. O'Reilly Media, 2019.

Advised literature

[1] Chun-houh Chen, Wolfgang Härdle, Antony Unwin, Handbook of Data Visualization, ISBN: 978-3-540-33036-3 , 936 pages, Springer, 2008.
[2] Ware, Colin. Information Visualization: Perception for Design (Interactive Technologies), Fourth edition, 560 pages, Morgan Kaufmann, ISBN 978-0128128756 , 2020.
[3] Charles D. Hansen and Chris Johnson. The visualization handbook. 2004, 962 pages. ISBN 978-012-3875-822 .
[4] Tamara Munzner, Visualization Analysis and Design, ISBN: 978-1466508910 , 428 pages, AK Peters, 2014.
[5] Casey Reas and Ben Fry, Processing: A Programming Handbook for Visual Designers and Artists, ISBN: 978-0262182621, 712 pages, MIT Press, 2007.
[6] Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Second Edition, ISBN: 978-0970601971 , 371 pages, Analytics Press, 2012.


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Language of instruction čeština, angličtina
Code 460-4120
Abbreviation VD
Course title Data Visualization
Coordinating department Department of Computer Science
Course coordinator Ing. Tomáš Fabián, Ph.D.