Advanced Visualization Methods
Code | Completion | Credits | Range |
---|---|---|---|
XP39VIZ | ZK | 4 | 2P |
- Course guarantor:
- Ladislav Čmolík, Pavel Slavík
- Lecturer:
- Ladislav Čmolík, Pavel Slavík
- Tutor:
- Supervisor:
- Department of Computer Graphics and Interaction
- Synopsis:
-
Human factors in visualization (Perception and cognition, Visual saliency, Visual thinking)
Design of User Interfaces for Visualization applications (Evaluation of visualization techniques)
Advanced volume visualization (Illustrative volume rendering)
Big data visualization, Visual analytics, Animation for visualization, Data compression and reduction
Large scale data visualization
Visualization techniques in nonstandard environment
- Requirements:
-
It may be beneficial for students to pass course Visualization in MSc. track
- Syllabus of lectures:
-
1.-2. Human factors in visualization. Perception and cognition. Visual thinking.
3.-4. Design of user interfaces for visualization applications. Methods for evaluation of visualization techniques.
5.-6. Advanced methods for volume visualization. Illustrative volume rendering.
7.-8. Visualization of big data. Visual analytics. Visualization and animation. Data compression.
9.- 10. Visualization of data acquired from various sources (data in mu1timodal environment).
11.-12. Visualization in non-standard environments (mobile environment, virtual reality etc.]
13.- 14. New trends in data visualization
- Syllabus of tutorials:
-
Acquaitance with the goal of seminars. Organization of excercises. Requirements for exam.
Semestral project.
Consultations to the project.
Study and presentation of particular topics in the field of visualization.
Final presentation of the project together with evaluation of results reached together with its contribution to dissertation to be.
- Study Objective:
-
The goal ofthis course is to acquaint students with up to date methods of visualization where the attention is paid to
various fields where visualization may be used. Namely the wide coverage of the applications of visualization can be
considered innovative (in comparison with traditional approaches used worldwide up to now).
- Study materials:
-
Tamara Munzer: Visualization Analysis and Design, AK Peters, 2014
Colin Ware: Visual Thinking for Design, Elsevier Inc., 2008
Nathan Yau, Data Points: Visualization that means something That Means Something, Wiley, 2013
- Note:
- Time-table for winter semester 2024/2025:
- Time-table is not available yet
- Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans:
-
- Doctoral studies, daily studies (compulsory elective course)
- Doctoral studies, combined studies (compulsory elective course)