Grundstudium/Bachelor

WS 09/10 Vorlesung (Lienhart, Greif)
Multimedia Grundlagen I
4+2 SWS (8 LP)
Vorlesung (Hörster)
Maschinelles Lernen I
2+2 SWS (5 LP)
SS 10 Praktikum (Thomas Greif)
Multimedia Projekt: Bildverarbeitung
10 SWS (10 LP)
Vorlesung (Lienhart)
Bayesian Networks*
2+2 SWS (5 LP)
WS 10/11 Vorlesung (Lienhart, Greif)
Multimedia Grundlagen I
4+2 SWS (8 LP)
Seminar (Stefan Romberg)
Seminar: Multimediale Datenverarbeitung
2 SWS (4 LP)

(*) This lecture is only for Bachelors of Informatik & Multimedia

Hauptstudium/Master

WS 09/10 Vorlesung (Lienhart, Ries)
Probabilistic Robotics
2+2 SWS (5 LP)
Seminar (Lienhart, Romberg)
Seminar: Bildverarbeitung
2 SWS (4 LP)
Vorlesung (Hörster)
Maschinelles Lernen I
2+2 SWS (5 LP)
SS 10 Vorlesung (Lienhart)
Multimedia II +: Media Mining
4+2 SWS (8 LP)
Seminar (Christian Ries)
Videoverarbeitung
2 SWS (4 LP)
Vorlesung (Lienhart)
Bayesian Networks
2+2 SWS (5 LP)
WS 10/11 Vorlesung (Lienhart, Ries)
Probabilistic Robotics
2+2 SWS (5 LP)
Praktikum (N.N.)
Projektmodul: Multimedia Computing
6 SWS (10 LP)

(+) The term "Multimedia II" does not imply that "Multimedia I" is required. The idea is that the students should here a standard 4+2 lecture from us as well as standard 4+2 lecture from Prof. Andre (which we coined "Multimedia I: ..."


Past Lectures

Grundstudium/Bachelor

SS 09 Praktikum (Lienhart, Boogaart)
Multimedia Praktikum (Audio)
6 SWS (10 LP)
Praktikum (Lienhart, Witt)
Multimedia Praktikum (Video)
6 SWS (10 LP)
WS 08/09 Praktikum (Lienhart, Witt)
Video Signal Processing
2+4 SWS (8 LP)
Seminar (Lienhart, Witt)
Objekterkennung in Bildern&Videos
2 SWS (4 LP)
Seminar (Lienhart, Boogaart)
Audiosignalverarbeitung
2 SWS (4 LP)


Hauptstudium/Master

WS 08/09 Vorlesung (Lienhart, Hörster)
Media Mining I
4+2 SWS (9 LP)
Vorlesung (Lienhart, Boogaart)
Audio Information Retrieval
2+1 SWS (4 LP)