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Artificial Intelligence (Master of Science) >>
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Informationsvisualisierung (InfoVIS)- Lecturer
- Dr. Roberto Grosso
- Details
- Vorlesung
Präsenz
2 cred.h, benoteter certificate, ECTS studies, ECTS credits: 2,5
nur Fachstudium, für FAU Scientia Gaststudierende zugelassen, Sprache Deutsch und Englisch, Please, check the StudOn course InfoVIS
Time and place: Thu 14:15 - 15:45, 01.150-128
- Fields of study
- WF INF-BA-V-GD ab 3
WF INF-MA ab 1
WF I2F-BA ab 1
WF CE-BA-TW ab 3
WF AI-MA ab 1
- Contents
- In diesem Modul werden Visualisierungsmethoden für die folgenden Datentypen behandelt:
Multivariate Daten Graphen und Netzwerke Dynamische Graphen Hierarchien und Bäume Time-Series Daten Textvisualisierung
Für mehr Information über Inhalt dieses Moduls besuche Sie den StudOn-Kurs InfoVIS (https://www.studon.fau.de/crs2722847.html).
- Recommended literature
- Robert Spence: Information Visualization: Design for Interaction
Stuart K. Card, Jock Mackinlay, Ben Shneiderman: Readings in Information Visualization – Using Vision to Think Benjamin B. Bederson, Ben Shneiderman: The Craft of Information Visualization – Readings and Reflections Tamara Munzner: Visualization Analysis and Design: Principles, Techniques, and Practice
- ECTS information:
- Title:
- Information Visualization
- Credits: 2,5
- Prerequisites
- The programming exercises are implemented in JavaScript
- Contents
- In this course we discuss visualization techniques for the following data types
multivariate data networks (graphs) dynamic networks hierarchies and trees time series text
For a more detailed Information on the Contents of this Module visit the StudOn course InfoVIS (https://www.studon.fau.de/crs2722847.html).
- Literature
- Robert Spence: Information Visualization: Design for Interaction
Stuart K. Card, Jock Mackinlay, Ben Shneiderman: Readings in Information Visualization – Using Vision to Think Benjamin B. Bederson, Ben Shneiderman: The Craft of Information Visualization – Readings and Reflections Tamara Munzner: Visualization Analysis and Design: Principles, Techniques, and Practice
- Additional information
- Keywords: visualization, JavaScript, graphs, hierarchies, D3 programming, text visualization
Expected participants: 40, Maximale Teilnehmerzahl: 40
www: https://www.studon.fau.de/crs2722847.html
- Assigned lectures
- UE ([präsenz]):Übung zur Informationsvisualisierung
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Lecturer: Dr. Roberto Grosso
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2022:
- Informationsvisualisierung (InfoVIS)
- Department: Chair of Computer Science 9 (Computer Graphics)
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