Visualization
| Code | Completion | Credits | Range | Language |
|---|---|---|---|---|
| B4M39VIZ | Z,ZK | 6 | 2P+2C | Czech |
- Relations:
- It is not possible to register for the course B4M39VIZ if the student is concurrently registered for or has already completed the course BE4M39VIZ (mutually exclusive courses).
- The requirement for course B4M39VIZ can be fulfilled by substitution with the course BE4M39VIZ.
- It is not possible to register for the course B4M39VIZ if the student is concurrently registered for or has previously completed the course BE4M39VIZ (mutually exclusive courses).
- Course guarantor:
- Ladislav Čmolík
- Lecturer:
- Ladislav Čmolík
- Tutor:
- Ladislav Čmolík, Václav Pavlovec
- Supervisor:
- Department of Computer Graphics and Interaction
- Synopsis:
-
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 method serves as an external representation, with which it is possible to quickly obtain data values or compare data. This frees up the memory and cognitive capabilities of the analyst to solve the problem that the data represents.
- Requirements:
- Syllabus of lectures:
-
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
- Syllabus of tutorials:
-
1. Introduction to the course
2. Introduction to Paraview
3. Data mapping in Tableau Public
4. Consultations of semestral works
5. Visualization of scalar fields
6. Visualization of volumetric data
7. Visualization of vector fields
8. 1st test
9. Consultations of semestral works
10. Visualization of n-dimensional data
11. Visualization of relational data
12. 2nd test
13. Presentations of semestral works
14. Spare seminar
- Study Objective:
-
To master basic methods and tools for data visualization - in the fields of scientific visualization and information visualization.
- Study materials:
-
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.
- Note:
- Further information:
- https://moodle.fel.cvut.cz/course/B4M39VIZ
- Time-table for winter semester 2025/2026:
- Time-table is not available yet
- Time-table for summer semester 2025/2026:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - The course is a part of the following study plans:
-
- Open Informatics - Human-Computer Interaction (compulsory course of the specialization)
- Open Informatics - Computer Graphics (compulsory course of the specialization)
- Open Informatics - Data Science (compulsory course of the specialization)