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Scientific Visualization - Algorithms for Data Visualization (IN2026, IN8019)

Course 0000001387 in WS 2014/5

General Data

Course Type Lecture w/ Exercise
Semester Weekly Hours 4 SWS
Organisational Unit Informatics 15 - Chair of Computer Graphics and Visualization (Prof. Westermann)
Lecturers
Dates Thu, 13:45–16:00, Interims I 102

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks This lecture provides an introduction to the fundamentals of data visualization. It discusses the different stages of the visualization pipeline and exemplifies application areas where data visualization is paramount. It gives a survey over the many different sources the data can result from, and addresses techniques to bring the initial data into a form that can be visualized. Particular aspects covered are data interpolation, triangulation, and filtering techniques. We will then outline different strategies to map the data onto a visual representation via graphical primitives. Finally, specific visualization fields are addressed, such as volume visualization and flow visualization.
Links Course documents
TUMonline entry
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