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Information Visualization and Visual Analytics
Typ: Hauptstudium / Vertiefungslinie
Semester: WS 2017/2018
Umfang: 3V+1Ü
Studiengang: International Master in Computer Science - Studienprofil VC, International Master in Computer Science - Studienprofil STE, International Master in Computer Science - Studienprofil AUT, Master Informatik, Master Softwaretechnik
Dozent: Dr. Dennis Thom
Beschreibung:

The lecture "Information Visualization and Visual Analytics" provides an introduction into both visualization fields. It covers Information Visualization (InfoVis) models and techniques for visualizing quantitative, relational, hierachical, and multivariate data as well as corresponding interaction approaches. The syllabus further includes Visual Analytics (VA) techniques and methodologies for dealing with complex analytic tasks as they occur, e.g., in Big Data contexts. The lecture introduces various examples of current research problems in both fields. Additionally, it covers domain-specific characteristics of visualization disciplines such as geographical visualization, visualization of biological data, social media analysis, and general text and document analysis.

Registration and schedule for the lecture and exercises:

https://campus.uni-stuttgart.de/cusonline/wbLv.wbShowLVDetail?pStpSpNr=173334

https://campus.uni-stuttgart.de/cusonline/wbLv.wbShowLVDetail?pStpSpNr=173611

Lecture slides and assignments will be provided in Ilias:

https://ilias3.uni-stuttgart.de/goto_Uni_Stuttgart_crs_1312649.html

Bilder:
Internet-Seite:
Termine: Dienstag, 11:30 - 13:00 Uhr in V 38.03
Mittwoch, 15:45 - 16:30 Uhr in V 38.03
Übungen: Mittwoch, 16:30 - 17:15 Uhr in V 38.03
Tutor: Dipl.-Math. Martin Baumann M.A.
Markus John M.Sc.
Haris Mumtaz M.Sc.

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