PV251/02: each odd Tuesday 18:00–19:50 B311, K. Furmanová, B. Kozlíková
PV251/04: each odd Tuesday 16:00–17:50 B311, K. Furmanová, B. Kozlíková
No additional prerequisities.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 60 student(s).
Current registration and enrolment status: enrolled: 26/60, only registered: 0/60, only registered with preference (fields directly associated with the programme): 0/60
Fields of study the course is directly associated with
there are 13 fields of study the course is directly associated with, display
The goal is to provide students with the overview of the field of visualization and its principles and methods. The course includes basic concepts of visualization and its application to different input data sets. Students also will be acquainted with various interaction techniques for data manipulation and with practical applications of visualization, such as in medicine, art etc. An important part of this course contains a practical exercises performed on various visualization tools. In the end of this course, students should be able to design and develop their own effective visualizations.
After passing this course, the students will be able to:
- evaluate the suitability of existing visualization techniques for a given task
- determine the basic mistakes of existing visualization solutions
- design an appropriate visualizations for given tasks
- implement an optimized solution of a selected visualization
Introduction, history of visualization, visualization today, human perception and information processing
Color, types of input data
Visualization techniques for spatial data
Visualization techniques for geospatial data
Visualization techniques for multivariate data
Graphs and trees, networks
Text and document visualization
Interaction concepts and techniques
Designing effective visualizations, comparing and evaluating visualization techniques
Visualization tools and systems
Specific applications of visualization - medical visualization, NPR, scientific visualization
WARD, Matthew, Georges G. GRINSTEIN and Daniel KEIM. Interactive data visualization : foundations, techniques, and applications. Natick: A K Peters, 2010. xvii, 496. ISBN 9781568814735. info
Theoretical lectures covering fundamentals, methods and algorithms for visualization. Lab work focused on usage of various visualization tools and design of visualizations. Short HW assignments demonstrating usage of methods discussed on lectures. Study materials: Slides, study materials and lectures video, text books and journals on visualization.
Homework assignments must be completed before the final examination. Final assessment is based on result of the written exam which consists of 5 theoretical as well as practical questions.
Language of instruction
Further comments (probably available only in Czech)