Course: Data Visualization and Parallel Processing

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Course title Data Visualization and Parallel Processing
Course code KIV/VD
Organizational form of instruction no contact
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 0
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Vejmělková Ivana, Prof. Dr. Ing.
Course content
Final State Examination

Learning activities and teaching methods
unspecified
prerequisite
Knowledge
Student must successfully complete all courses of the study program. Topics of the examination are announced by the Department of Computer Science every year.
learning outcomes
Student is able to design new methods for data visualisation including paralel processing.
assessment methods
Oral exam
Recommended literature
  • Dle doporučení garanta oboru./ Recommended by the field of study guarantor..


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester