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  VIS-IVVA-M: Advanced Information Visualization and Visual Analytics

Prof. Dr. Fabian Beck

Präsenz/Online parallel
2,00 SWS
Zeit und Ort: Mo 12:00 - 14:00, WE5/01.004

Voraussetzungen / Organisatorisches
Recommended previous knowledge: Basic knowledge in information visualization and programming; knowledge in algorithms and data structures, human-computer-interaction, and machine learning and data science can be beneficial.

Note: This lecture is not directly based on the bachelor lecture VIS-GIV-B. Previous knowledge in visualization is nevertheless helpful, but can also be acquired during the semester. In particular, the VIS-Plus course will offer helpful tutorials and summaries.

The course discusses methods for interactive information visualization and systems for explorative visual analysis. Visualizations blend with algorithmic solutions and get adopted to domain-specific needs. Giving a research-oriented perspective, the design and evaluation of such methods is the focus of the course, as well as their practical and interdisciplinary application in various fields.

Learning goals and competences: The students recognize the possibilities and limitations of data visualization and are able to apply visualization methods to concrete application examples. They understand the foundations of visual perception and cognition as well as their implications for the visual representation of data. They have a sound overview of possibilities for the visual representation of abstract data and are able to adapt visualization techniques to new problems and justify design decisions. On a conceptual level, they are able to integrate visualization techniques with interaction techniques and algorithmic solutions and design visual analytics solutions. They can evaluate visualization techniques in quantitative and qualitative user studies.

The workload for this module typically is as follows:
  • Lecture and exercise sessions: 45h
  • Preparation and review of the lecture: 30h
  • Work on exercises and assignments: 75h
  • Preparation for the exam: 30h

Englischsprachige Informationen:
VIS-IVVA-M: Advanced Information Visualization and Visual Analytics

Credits: 6

Zusätzliche Informationen
Erwartete Teilnehmerzahl: 60
www: https://vc.uni-bamberg.de/course/view.php?id=57725

Zugeordnete Lehrveranstaltungen
Ü (Rein Präsenz):VIS-IVVA-M: Advanced Information Visualization and Visual Analytics, Gruppe 1
Dozentinnen/Dozenten: Cedric Krause, Shahid Latif
Zeit und Ort: Mo 14:00 - 16:00, WE5/05.003
Ü (Rein Online):VIS-IVVA-M: Advanced Information Visualization and Visual Analytics, Gruppe 2
Dozentinnen/Dozenten: Cedric Krause, Shahid Latif
Zeit: Mi 16:00 - 18:00

Institution: Lehrstuhl für Informationsvisualisierung

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