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Einrichtungen >> Technische Fakultät (TF) >> Department Informatik (INF) >> Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung) >>
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Scientific Visualization (SciVis)- Dozent/in
- Prof. Dr.-Ing. Tobias Günther
- Angaben
- Vorlesung
Präsenz
2 SWS, ECTS-Studium, ECTS-Credits: 5,0
nur Fachstudium, für FAU Scientia Gaststudierende zugelassen, Sprache Englisch
Zeit und Ort: Di 14:15 - 15:45, H4
- Studienfächer / Studienrichtungen
- WF MWT-MA-AWE ab 1
WPF MB-BA-FG13 4-6
WPF IuK-MA-MMS-INF ab 1
WF CE-BA-TW ab 4
WPF INF-BA-V-GD ab 4
WPF INF-MA ab 1
WF CE-MA-INF ab 1
WPF MT-MA-BDV ab 1
WPF ICT-MA-MPS ab 1
WPF MB-MA-FG13 ab 1
WF MWT-BA ab 4
WF LSE-MA ab 1
WPF PG-BA ab 4
- ECTS-Informationen:
- Credits: 5,0
- Contents
- The amount of data, generated in the pursuit of scientific discovery, keeps rapidly increasing across all major scientific disciplines. How can we make sense of large, time-dependent, high-dimensional and multi-variate data? This lecture provides an introduction into scientific visualization. Throughout the course, we cover the fundamental perception basics needed to convey information accurately. After categorizing different data types based on their dimensionality, we dive deeper into specific techniques for scalar and vector valued data. To facilitate the discovery of patterns and to support the communication of findings, we further elaborate on data reduction, feature extraction, and interactive exploration.
The lecture covers the following topics:
a review of scalar and vector calculus data structures and data acquisition techniques direct and indirect scalar field visualization geometry-based, feature-based and topology-based vector field visualization multi-variate data visualization
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 120, Maximale Teilnehmerzahl: 120
- Zugeordnete Lehrveranstaltungen
- UE ([präsenz]):Tutorials to Scientific Visualization
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Dozentinnen/Dozenten: Prof. Dr.-Ing. Tobias Günther, M.Sc Xingze Tian
Zeit und Ort: Do 14:15 - 15:45, H4; Do 10:15 - 11:45, Zoom-Meeting
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2022:
- Scientific Visualization (SciVis)
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