Subject description - BE4M39VIZ
Summary of Study |
Summary of Branches |
All Subject Groups |
All Subjects |
List of Roles |
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 - in the fields of scientific visualization and information visualization.
Course outlines:
| 1. | | Introduction to visualization |
| 2. | | Data and task categorization |
| 3. | | Principles of data visualization |
| 4. | | Interaction in visualization |
| 5. | | Visualization of scalar fields |
| 6. | | Visualization of volumetric data |
| 7. | | Visualization of vector fields |
| 8. | | Visualization of tabular data |
| 9. | | Visualization of relational data |
| 10. | | Text and software visualization |
| 11. | | Visualization of geographic data |
| 12. | | Time and its visualization |
| 13. | | Visual data mining, visual analytics, big data |
| 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. | | Tamara Munzner. Visualization Analysis and Design. A K Peters Visualization Series, CRC Press, 2014. |
| 2. | | Alexandru C. Telea. Data Visualization: Principles and Practice (2nd edition). CRC Press, 2014. |
Requirements:
Subject is included into these academic programs:
| Page updated 14.12.2024 12:51:13, semester: Z/2024-5, Z/2025-6, L/2024-5, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |