Visual Data Analytics (IN2026, IN8019)
Course 0000001387 in WS 2018/9
General Data
| Course Type | lecture with integrated exercises |
|---|---|
| Semester Weekly Hours | 4 SWS |
| Organisational Unit | Informatics 15 - Chair of Computer Graphics and Visualization (Prof. Westermann) |
| Lecturers |
Johannes Kehrer Rüdiger Westermann |
| Dates |
Thu, 13:00–16:00, MW 0001 |
Assignment to Modules
-
IN2026: Visual Data Analytics / Visual Data Analytics
This module is included in the following catalogs:- Focus Area Bio-Sensors in M.Sc. Biomedical Engineering and Medical Physics
- Catalogue of non-physics elective courses
-
IN8019: Wissenschaftliche Visualisierung / Scientific Visualization
This module is included in the following catalogs:- Catalogue of non-physics elective courses
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 |