Visual Data Analytics

What it is about

You will learn the entire visualization pipeline — from data acquisition and preprocessing over interpolation and filtering to presentation. You understand methods of information and scientific visualization for 2D/3D scalar and vector fields as well as terrain rendering and can evaluate and apply suitable techniques.

What you will be able to do

• Understand and apply the visualization pipeline
• Know data representations and grid construction (e.g., Delaunay)
• Master interpolation and approximation methods
• Apply filtering and convolution methods
• Know rendering methods for scalar fields (coloring, isolines/isosurfaces, volume rendering)
• Apply methods for vector visualization (particles, LIC, topological approaches)
• Use terrain rendering and adaptive meshing/hierarchical data representations (Quadtrees/Octrees)
• Evaluate visualization tools and use them for own visualizations

What the module consists of

• VorlesungConveying disciplinary knowledge, references to relevant literature and examples for application
• Praktische ÜbungenIntroduction and application of common visualization tools, implementation of small tasks for practice

Teaching method

• VorlesungConveying fundamentals, reference to articles and demonstration of application examples
• Online-Demonstrationen/ TutorialsShowcasing modern visualization tools and learning their use
• Praktische AufgabenApplying the tools to 3D data sets and practicing the selection of appropriate visualization techniques