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Visual Analytics

Type of study Follow-up Master
Language of instruction English
Code 548-0142/02
Abbreviation VIAN
Course title Visual Analytics
Credits 4
Coordinating department Department of Geoinformatics
Course coordinator prof. Ing. Igor Ivan, Ph.D.

Subject syllabus

1) Introduction to visual analytics. Basic concepts.
2) Summary of acquired knowledge in the field of visualization.
3) Basic principles of interactive visualization.
4) Computational methods in visual analytics.
5) Visual analytics for data investigating and processing.
6) Visual analytics for understanding multivariate and graph data.
7) Visual analytics for understanding temporal and spatial data.
8) Visual analytics for understanding spatial events data
9) Visual analytics for understanding spatial time series
10) Visual analytics for understanding trajectories and mobility data
11) Visual analytics for understanding text, images and video.
12) Design, comparison and evaluation of visualization techniques.
13) Interacting with visualization.

Literature

Andrienko N., Andrienko G., Fuchs G., Slingsby A., Turkay C., Wrobel S. Visual Analytics for Understanding Temporal Distributions and Variations. In: Visual Analytics for Data Scientists. Springer, Cham, 2020. https://doi.org/10.1007/978-3-030-56146-8_8
Munzner, T. Visualization Analysis and Design. A K Peters/CRC Press, 1 edition, 2014, ISBN 9781466508910 .
Ward, M. O.,‎ Grinstein, G.,‎ Keim, D. Interactive Data Visualization: Foundations, Techniques, and Applications. A K Peters/CRC Press, Second Edition, 2015, ISBN 9781482257373 .
Loth, A. Visual Analytics with Tableau, Wiley, 1st edition, 2019, ISBN: 9781119560203 .

Advised literature

Andrienko, N., Andrienko, A. Visual Analytics of Movement. Springer, ISBN 978-3642375828.
Andrienko, N., Andrienko, A. Exploratory Analysis of Spatial and Temporal Data. A Systematic Approach. Springer, 2006, ISBN 978-3-540-25994-7 .
Keim, D., Kohlhammer, J., Ellis, G., Mansmann, F. Mastering the Information Age. Solving Problems with Visual Analytics. Eurographics Association, 2010, ISBN 978-3-905673-77-7 .
Tominski, C., Schumann, H. Interactive Visual Data Analysis. A K Peters/CRC Press, 2020, ISBN 9780367898755 .


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