Computer Engineering MA, Visualization, 6 Credits

The course aims towards a good understanding of visualization principles and algorithms. The course gives insight into visualization techniques and tools as support to end users in their analytical reasoning. Increasingly complex data types including scalars, vectors, images, volumes and non-spatial datasets are explored with respect to their proper visualization techniques and algorithms. Issues such as data representation, presentation and interaction are discussed. Visualization software systems and libraries are central to creating successful visualizations and are also introduced.

Spring 2023

room Standard course of studies, Sundsvall
  • Start: Spring 2023
  • Study period: Week 12 - 22
  • Study form: Standard course of studies
  • Study pace: 50%
  • Campus: Sundsvall
  • Language: English
  • Code: MIU-F2X22

Spring 2024

room Standard course of studies, Sundsvall
  • Start: Spring 2024
  • Study period: Week 12 - 22
  • Study form: Standard course of studies
  • Study pace: 50%
  • Campus: Sundsvall
  • Language: English
  • Code: MIU-F2X50
Syllabus

Entry requirements

Bachelors Degree in Computer Science or Computer Engineering, including courses in programming in C++, 15 credits. Mathematics, Linear Algebra, 7.5 credits; Probability Theory, 7.5 credits.

Contact

Questions about the course

Questions about the course

+46(0)10-1428000

The page was updated 12/8/2022