Subject description - BE4M39VIZ
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Explanatory Notes
Instructions
| BE4M39VIZ |
Visualization |
| Roles: | PO |
Extent of teaching: | 2P+2C |
| Department: | 13139 |
Language of teaching: | EN |
| Guarantors: | |
Completion: | Z,ZK |
| Lecturers: | |
Credits: | 6 |
| Tutors: | |
Semester: | L |
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.
Course outlines:
| 1. | | Motivation for data visualization, history, categories of visualization 9infovis, scivis, software visualization,..) |
| 2. | | Visualization of scalar data (visualization pipeline, data reduction) |
| 3. | | Visualization of vector data (problems of visualization in 2D, 3D,..) |
| 4. | | Visualization of volume data (marching cube, cuberille) |
| 5. | | Visualization of volume data (volume data rendering, topological problems of volume data rendering,..) |
| 6. | | Visualization of dynamic data (animation, time scale,..) |
| 7. | | Information visualization (HomeFinder, TreeMaps, hyperbolic geometry) |
| 8. | | Perception and interpretation of visualized data (context, human perception, psychology of perception) |
| 9. | | Simulation and visualization (e.g. simulation and visualization of technological processes) |
| 10. | | Visualization of medical data (tomography. Operation planning) |
| 11. | | Technical illustration, medical illustration |
| 12. | | Software visualization (visualization of software behavior, visualization of software maintenance ,..) |
| 13. | | Problems of visual data mining. Applications of visual data mining (relation to neural computing) |
| 14. | | Reserve |
Exercises outline:
| 1. | | Semestral project assignement |
| 2. | | Semestral project assignement |
| 3. | | Consultations to semestral project |
| 4. | | Consultations to semestral project |
| 5. | | Consultations to semestral project |
| 6. | | Consultations to semestral project |
| 7. | | Checkpoint of semestral project |
| 8. | | Consultations to semestral project |
| 9. | | Consultations to semestral project |
| 10. | | Consultations to semestral project |
| 11. | | Consultations to semestral project |
| 12. | | Semestral project presentation |
| 13. | | Semestral project presentation |
| 14. | | Semestral project assessment |
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 |
Requirements:
Subject is included into these academic programs:
| Page updated 25.9.2023 17:50:21, semester: Z/2023-4, Z/2024-5, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |