263-5701-00L  Visualization

SemesterAutumn Semester 2018
LecturersT. Günther
Periodicityyearly recurring course
Language of instructionEnglish

Catalogue data

AbstractThis lecture provides an introduction into visualization of scientific and abstract data.
ObjectiveThis lecture provides an introduction into the visualization of scientific and abstract data. The lecture introduces into the two main branches of visualization: scientific visualization and information visualization. The focus is set onto scientific data, demonstrating the usefulness and necessity of computer graphics in other fields than the entertainment industry. The exercises contain theoretical tasks on the mathematical foundations such as numerical integration, differential vector calculus, and flow field analysis, while programming exercises familiarize with the Visualization Tool Kit (VTK). In a course project, the learned methods are applied to visualize one real scientific data set. The provided data sets contain measurements of volcanic eruptions, galaxy simulations, fluid simulations, meteorological cloud simulations and asteroid impact simulations.
ContentThis lecture opens with human cognition basics, and scalar and vector calculus. Afterwards, this is applied to the visualization of air and fluid flows, including geometry-based, topology-based and feature-based methods. Further, the direct and indirect visualization of volume data is discussed. The lecture ends on the viualization of abstract, non-spatial and multi-dimensional data by means of information visualization.
Prerequisites / NoticeFundamentals of differential calculus. Knowledge on numerical mathematics, computer algebra systems, as well as ordinary and partial differential equations is an asset, but not required.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersT. Günther
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examinationwritten 120 minutes
Additional information on mode of examinationThe final grade will be computed from grades for the written exam (75%) and the course project (25%, compulsory continuous performance assessment). The course project is always graded and has not to be passed on its own. The grade of the course project will be announced at the end of the semester. The theoretical exercises are graded and the correct completion of 80% adds a bonus of 0.25 points to the final grade.
Written aidsKeine!
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

Main linkInformation
Only public learning materials are listed.


263-5701-00 VVisualization2 hrs
Mon10-12CAB G 51 »
T. Günther
263-5701-00 UVisualization1 hrs
Mon12-13CAB G 51 »
T. Günther


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Offered in

CAS in Computer ScienceFocus Courses and ElectivesWInformation
Computer Science MasterFocus Elective Courses General StudiesWInformation
Computer Science MasterFocus Elective Courses Visual ComputingWInformation