Applied Visualization 2021 /CoursesID:2193
- Most recent entry on 2021-07-15
Keywords: visualization

Organisational Unit

Professur für Visual Computing

Recording type

Vorlesungsreihe

Language

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, vector and tensor valued data.

Associated Clips

Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Introduction
Prof. Dr. Tobias Günther
2021-04-10
Studon
01:14:43
2
Data Structures
Prof. Dr. Tobias Günther
2021-04-10
Studon
01:10:23
3
Scalar and Vector Fields
Prof. Dr. Tobias Günther
2021-04-10
Studon
01:27:46
4
Indirect Volume Visualization
Prof. Dr. Tobias Günther
2021-04-10
Studon
01:20:30
5
Direct Volume Visualization
Prof. Dr. Tobias Günther
2021-04-10
Studon
01:29:17
6
Elementary and Line-based Techniques
Prof. Dr. Tobias Günther
2021-04-10
Studon
01:25:22
7
Surface-based Techniques
Prof. Dr. Tobias Günther
2021-04-11
Studon
01:23:52
8
Topology-based Techniques 1
Prof. Dr. Tobias Günther
2021-05-30
Studon
01:19:19
9
Topology-based Techniques 2 and Image-based Techniques
Prof. Dr. Tobias Günther
2021-05-30
Studon
01:03:08
10
Feature-based Techniques
Prof. Dr. Tobias Günther
2021-05-30
Studon
01:29:47
11
Advanced methods
Prof. Dr. Tobias Günther
2021-07-05
Studon
01:25:53
12
Summary
Prof. Dr. Tobias Günther
2021-07-15
Studon
01:32:23

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