Data Analysis and Visualization
Prof. Dr. Daniel A. Keim
Applied Visual Analytics
Course information
This lecture in LSF! Last update: 17. May 2012 -- 0:00
Hyperlink
http://www.informatik.uni-konstanz.de/arbeitsgruppen/infovis/lehre/Lecturers
Prof. Dr. Daniel KeimDr. Peter Bak
Daniela Oelke
Christian Rohrdantz
| Mo | 14:00 - | 16:00 | C 252 | wöchentlich |
Curricular
Information Engineering, BScSemester: 4 - 6
Information Engineering, MSc
Course type
VorlesungLanguage
englischAchievement
SWS: 2Credits: 4
Examination
Register start: 11.04.2011Register end: 10.05.2011
Step back until: 29.06.2011
Attendees
Expected: 30Maximal: 40
HomeMembersTeachingAdvanced Visual Analysis of Large DatasetsApplied Visual AnalyticsGeographic Information Systems (GIS)Information Visualization IForschungsseminar Data Mining & InformationsvisualisierungMultimedia Database SystemsBachelor-Projekt Data Mining und VisualisierungMaster Project Visual Exploration of Large DataMaster Project Visual Search and AnalysisBachelor-Arbeit *Bachelor-Thesis*Master-Arbeit *Master Thesis*Previous SemestersPublikationenCurrent research projectsCompleted research projectsConferences and WorkshopsSteinbeis Competence CenterPowerwallResearch Center CAVISResearch Initiative CALDOverlapping GenesDFG SPP Scalable Visual AnalyticsEU Projekt VisMasterOpen Positions
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