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Flow Visualization

(in German: Flow Visualization - )

Module-ID: FIN-INF-120261
Link: LSF
Responsibility: Holger Theisel
Lecturer: Holger Theisel
Classes:
  • Vorlesung Flow Visualization
  • Übung Flow Visualization
 
Applicability in curriculum:

Abbreviation

FlowVis

Credit Points

6

Semester

Summer

Term

ab 1.

Duration

1 Semester

Language

english

Level

Master

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

Type of examination: Teaching method / lecture hours per week (SWS):

oral exam

  • 2 SWS lecture
  • 2 SWS exercise class
Prerequisites according to examination regulations: Recommended prerequisites:

keine

Einführung in die Computergraphik oder Computer Graphics - an Introduction

Media: Literature:


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