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  Applied Visualization (AppVis)

Lecturer
Prof. Dr.-Ing. Tobias Günther

Details
Vorlesung
2 cred.h, benoteter certificate, ECTS studies, ECTS credits: 5,0
nur Fachstudium, Sprache Englisch
Time and place: Thu 10:15 - 11:45, H4

Fields of study
WPF MT-MA-BDV 1-2
WF CE-MA-INF ab 1
WF CE-BA-TW ab 4
WPF INF-BA-V-GD 4-6
WPF INF-MA ab 1
WPF IuK-MA-MMS-INF 1-3
WPF ICT-MA-MPS 1-4
WPF MB-BA-FG13 4-6
WPF MB-MA-FG13 1-3
WF WW-BAH 6
WF WW-DH ab 6
WF MWT-MA-AWE ab 1
WF LSE-MA ab 1
WPF PG-BA ab 3

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

ECTS information:
Title:
Applied Visualization

Credits: 5,0

Prerequisites
The lecture is given in English.

Additional information
Expected participants: 120, Maximale Teilnehmerzahl: 120

Assigned lectures
UE: Tutorials to Applied Visualization
Lecturers: Prof. Dr.-Ing. Tobias Günther, M.Sc Xingze Tian, M.Sc. Franziska Kranz
Time and place: Thu 14:15 - 15:45, 16:15 - 17:45, Zoom-Meeting

Verwendung in folgenden UnivIS-Modulen
Startsemester SS 2021:
Applied Visualization (AppVis)

Department: Chair of Computer Science 9 (Computer Graphics)
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