Flow Visualization
Summer
(in German: Flow Visualization )
Module-ID: FIN-INF-120261 |
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Abbreviation FlowVis |
Credit Points 6 |
Semester Summer |
Term starting at 1. |
Duration 1 Semester |
Language english |
Level Master |
| Link: | LSF |
| Limited accessability: | |
| Responsibility: | Holger Theisel |
| Lecturer: | Holger Theisel |
| Classes: |
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| Applicability in curriculum: | - M.Sc. INF: Informatik - M.Sc. INGINF: Informatik - M.Sc. WIF: Informatik - M.Sc. DKE: Applied Data Science - M.Sc. DE: Fachliche Spezialisierung - M.Sc. VC: Visual Computing |
Intended learning outcomes:
The students
- understand the basic concepts of Flow Visualization in the broader context of Visualization
- are able to create their own visualization projects
- learn both the theoretical basics and applications of Flow Visualization
- are able to acquire in-depth knowledge of Flow Visualization after finishing the course
Content:
- Mathematical principles of vector and tensor fields
- Obtaining flow data
- Direct methods for flow visualization
- Texture-based methods for flow visualization
- Geometry-based methods for flow visualization
- Feature-based methods for flow visualization
- Topological methods for flow visualization
- Finite Time Lyapunov exponents
- objective methods for flow visualization
Workload:
56 contact hours + 124h self study
| Pre-examination requirements: | Type of examination: | Teaching method / lecture hours per week (SWS): |
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oral exam |
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| Prerequisites according to examination regulations: | Recommended prerequisites: |
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keine |
Einführung in die Computergraphik oder Computer Graphics - an Introduction |
| Media: | Literature: |
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