Visualization – Lecture

The content of the lecture is divided into three main parts.

  • Part I: Basics – In this introductory part an overview of possible applications of computer-aided visualization is given by means of many examples. It should become clear which display possibilities exist and how they are combined. The examples are analyzed with regard to the techniques used and principles of computer-aided visualization are described. Subsequently, the basics of visual perception are treated. The first part is finished with a discussion of the underlying data, e.g., data structures, grid types, their advantages, disadvantages and resulting applications.
  • Part II: Information Visualization – The second part describes basic visualization techniques and visualization techniques for abstract data (Information visualization). Basic techniques involve color coding and isolines. InfoVis comprises graph and network visualization, glyph-based visualization, other techniques for visualizing high-dimensional data, such as parallel coordinates and scatterplot matrices.
  • Part III: 3D Visualization – In this area mainly volume visualization techniques and methods for flow visualization are described. In the field of volume visualization methods, the focus is on the representation of regular 3D-grids, as they are created, for example, in medicine by the imaging methods computed tomography and magnetic resonance imaging.

Lecture slides

Our video lectures are available on YouTube. The list is updated regularily.

ContentSlidesVideos
Part I Overview
Visualization: Goals, Quality Criteria, Principles
Visual Perception
Data Types, Data Structures and Data Formats in Visualization
Video
Part 1 | Part 2
Part 1 | Part 2
Part 1 | Part 2
Part II Basic Visualization Techniques
Information Visualization I
Information Visualization II
Information Visualization III: Visualization Systems and Visualization Design
Interaction in Visual Analysis
Part 1 | Part 2
Part 1 | Part 2
Part 1 | Part 2
Video
Video
Part III Surface Visualization of Volume Data
Direct Volume Rendering
The following is optional content (not for the exam)
Analysis and Visualization of Uncertainty
Visualization of Vector Data
Video
Video

Part 1 | Part 2 | Part 3
no video yet
(Optional Presentation) Überblickskapitel Volumenvisualisierung