Subject description - A4M39VIZ

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A4M39VIZ Visualization Extent of teaching:2P+2C
Guarantors:  Roles:PO,V Language of
teaching:
CS
Teachers:  Completion:Z,ZK
Responsible Department:13139 Credits:6 Semester:L

Anotation:

In this course, you will get the knowledge of theoretical background for visualization and the application of visualization in real-world examples. The visualization methods are aimed at exploiting both the full power of computer technologies and the characteristics (and limits) of human perception. Well-chosen visualization methods can help to reveal hidden dependencies in the data that are not evident at the first glance. This in turn enables a more precise analysis of the data, or provides a deeper insight into the core of the particular problem represented by the data.

Study targets:

To master basic methods and tools for data visualization - both in the field of information visualization and scientific visualization as well.

Content:

In this course, you will get the knowledge of theoretical background for visualization and the application of visualization in real-world examples. The visualization methods are aimed at exploiting both the full power of computer technologies and the characteristics (and limits) of human perception. Well-chosen visualization methods can help to reveal hidden dependencies in the data that are not evident at the first glance. This in turn enables a more precise analysis of the data, or provides a deeper insight into the core of the particular problem represented by the data.

Course outlines:

1. Introduction to visualization
2. Data categorization
3. Principles of data visualization
4. Vizualizace skalárních dat
5. Vizualizace objemových dat
6. Vizualizace vektorových dat
7. Vizualizace n-rozměrných dat
8. Vizualizace relačních dat
9. Text and software visualization
10. Time and its visualization
11. User interface and interaction in visualization
12. Visual data mining, visual analytics, big data
13. Trends in visualization
14. Spare lecture

Exercises outline:

1. Introduction to the course
2. Introduction to Paraview
3. Introduction to Tableau Public
4. Visualization of scalar data
5. Visualization of volumetric data
6. Visualization of vector data
7. 1st test
8. Presentations of STAR reports
9. Visualization of n-dimensional data
10. Visualization of relational data
11. 2nd test
12. Visual analytics
13. Presentations of semestral works
14. Spare seminar

Literature:

1. Fayyad, U., Grinstein, G.G., Wierse, A.: Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufmann, 2002
2. Stasko,J., Domingue,J., Brown,M.H., Price, B.A.: Software Visualization, MIT Press, 1998
3. Chen, Ch.: Information Visualization and Virtual Environments,Springer, 1999
4. Tamara Munzner. Visualization Analysis and Design. A K Peters Visualization Series, CRC Press, 2014.
5. Alexandru C. Telea. Data Visualization: Principles and Practice (2nd edition). CRC Press, 2014.

Requirements:

Subject related pages: https://moodle.fel.cvut.cz/course/view.php?id=2127

Webpage:

https://moodle.fel.cvut.cz/course/B4M39VIZ

Keywords:

visualization, scientific visualization , information visualization

Subject is included into these academic programs:

Program Branch Role Recommended semester
MPIB Common courses V
MPKME1 Wireless Communication V 4
MPKME5 Systems of Communication V 4
MPKME4 Networks of Electronic Communication V 4
MPKME3 Electronics V 4
MPKME2 Multimedia Technology V 4
MPEEM1 Technological Systems V 4
MPEEM5 Economy and Management of Electrical Engineering V 4
MPEEM4 Economy and Management of Power Engineering V 4
MPEEM3 Electrical Power Engineering V 4
MPEEM2 Electrical Machines, Apparatus and Drives V 4
MPOI4NEW Computer Graphics and Interaction PO 4
MPOI4 Computer Graphics and Interaction PO 4
MPKYR4 Aerospace Systems V 4
MPKYR1 Robotics V 4
MPKYR3 Systems and Control V 4
MPKYR2 Sensors and Instrumentation V 4


Page updated 12.12.2019 15:52:11, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)