| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2024W |
| Ziele |
(*)The aim of this module is to equip you with a comprehensive and practical understanding of data visualization: a multi-disciplinary recipe of science, math, technology and many other interesting ingredients. The emphasis of the course is to instil the necessary critical thinking required to best judge the many analytical, practical and design decisions involved in this activity.
The course will offer a blend of academic and applied perspectives, covering the full suite of conceptual, theoretical and practical capabilities required to master this multidisciplinary pursuit.
In addition to the lecture, students can take an optional lab to learn how to apply VA theory to real-world visual data analysis problems.
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| Lehrinhalte |
(*)- Introduction and Course Overview
- Data Foundations and Tasks
- Visualization Principles I-III
- Fundamental Concepts: View & Interaction
- Visual Data Mining Principles
- Quantitative and Qualitative Evaluation
- Collaborative Visualization and Storytelling
- Visual Game Analysis
- Selected Current Research and Case Studies
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| Beurteilungskriterien |
(*)Written exam (oral exam in exceptional cases).
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| Lehrmethoden |
(*)Slides combined with case studies and in-class exercises.
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)Study material will be provided during the course.
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| Lehrinhalte wechselnd? |
Nein |
| Sonstige Informationen |
(*)The lecture can be combined with an optional practical lab.
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| Frühere Varianten |
Decken ebenfalls die Anforderungen des Curriculums ab (von - bis)
921DASIVIAV17: VL Visual Analytics (2017W-2024S)
921CGELVIAV13: VL Visual Analytics (2013W-2017S)
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