Lecture

Vorlesung
Präsenz
2 cred.h, ECTS studies, ECTS credits: 5,0
nur Fachstudium, für FAU Scientia Gaststudierende zugelassen, Sprache Englisch
Time and place: Tue 14:15 - 15:45, H4

Fields of study

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 information:

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

Additional information

Expected participants: 120, Maximale Teilnehmerzahl: 120

Assigned lectures

UE ([präsenz]):Tutorials to Scientific Visualization: Lecturers: Prof. Dr.-Ing. Tobias Günther, M.Sc Xingze Tian
Time and place: Thu 14:15 - 15:45, H4; Thu 10:15 - 11:45, Zoom-Meeting

Verwendung in folgenden UnivIS-Modulen

Startsemester SS 2022:: Scientific Visualization (SciVis)



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