PV251/02: každé liché úterý 18:00–19:50 B311, K. Furmanová, B. Kozlíková
PV251/04: každé liché úterý 16:00–17:50 B311, K. Furmanová, B. Kozlíková
No additional prerequisities.
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Předmět si smí zapsat nejvýše 60 stud.
Momentální stav registrace a zápisu: zapsáno: 24/60, pouze zareg.: 0/60, pouze zareg. s předností (mateřské obory): 0/60
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.
Výstupy z učení
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 a 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.
Materials will be available in the "study materials" folder in IS.