Bachelor-Seminar - Data Visualization

Christoph Neuhauser, Kevin Höhlein, Prof. Dr. Rüdiger Westermann

Time, Place: Kick-Off Meeting: To be announced - ONLINE
Seminar sessions: To be announced
Details: Only online recordings until on-campus lectures possible again
Prerequisites: None
Registration: Please register via the matching system.


Listed below are the topics covered in this seminar. 

# Topic Supervisor
01 Visualizing Data Statistics
02 Visualizing Time Dependent Data
03 Ensemble Visualization
04 Density Estimation
05 Visualization of High Dimensional Data
06 Data Compression
07 Image Processing and Filtering
08 Distance Metrics for Images
09 Principal Component Analysis
10 t-Distributed Stochastic Neighbor Embedding (t-SNE)
11 K-means Clustering
12 Density Based Clustering and Variants
13 Persistent Homology and Topological Data Analysis
14 Lighting and Shading (Local Illumination)
15 Direct Volume Rendering
16 Isosurface Extraction In Volumetric Data
17 Space Partitioning
18 Line Integral Convolution
19 FTLE Ridges for Flow Visualization
20 Ridge Detection on Scalar Fields
21 Real 3D (3D Glasses, Oculus) for VIS (e.g. Dead Eye)
22 Trajectory-based Stress Tensor Field Visualization
23 Glyph-based Stress Tensor Field Visualization
24 Topology-based Stress Tensor Field Visualization
25 Graph Layouting for Visualizing Structured Data
26 Empirical User Evaluation of Graph Visualizations


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