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Course, academic year 2022/2023
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Data Visualization Techniques - NDBI042
Title: Techniky vizualizace dat
Guaranteed by: Department of Software Engineering (32-KSI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2020
Semester: summer
E-Credits: 4
Hours per week, examination: summer s.:2/1, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
Guarantor: doc. RNDr. David Hoksza, Ph.D.
Classification: Informatics > Informatics, Software Applications, Computer Graphics and Geometry, Database Systems, Didactics of Informatics, Discrete Mathematics, External Subjects, General Subjects, Computer and Formal Linguistics, Optimalization, Programming, Software Engineering, Theoretical Computer Science
Annotation -
Last update: RNDr. Filip Zavoral, Ph.D. (12.05.2022)
In many domains, data visualization is an integral part of the analysis of various data sets. Students will get acquainted with the main principles of visual perception and their impact on the process of creation of visualizations. Furthermore, the course covers basic types of visualizations, visualization on the web, dimension reduction techniques and approaches to graph data visualization.
Course completion requirements -
Last update: doc. RNDr. David Hoksza, Ph.D. (02.10.2017)

Semester project. Exam.

Literature - Czech
Last update: T_KSI (14.05.2014)

Edward R. Tufte: The Visual Display of Quantitative Information; Graphics Pr; 2nd edition

Edward R. Tufte: Envisioning Information; Graphics Pr

Syllabus -
Last update: doc. RNDr. David Hoksza, Ph.D. (31.01.2022)
  • Introduction to data representation and visualization
  • Visualization types and principles
  • Data visualization on the Web
  • Multi-dimensional data visualization - PCA
  • Multi-dimensional scaling
  • Graph data visualization

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