Visualization

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).

Garant předmětu:

Lecturer:

Tutor:

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 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.

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. 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

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

No time-table has been prepared for this course

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)