Subject description - B4M39VIZ
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Explanatory Notes
Instructions
Web page:
https://moodle.fel.cvut.cz/course/B4M39VIZ
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.
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
Subject is included into these academic programs:
| Page updated 31.3.2023 09:52:03, semester: Z/2023-4, Z/2024-5, Z,L/2022-3, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |