Praktikum: Sensordatenfusion

S4N, "Shazam 4 Nature", is a project to use methods of machine learning, data fusion, and state estimation to monitor the species diversity. This can help to evalute preservation measures und to detect critical evolution of biodiveristy.


  • Verantwortlich: Prof. Dr. Wolfgang Koch, Felix Govaers,
  • Beginn: We will have the kick-of meeting on 26.07.2019 at 3 pm in room 1.012 at the Computer Science 4 department (Endenicher Allee 19A).
  • Zeiten: Practical part: Three Weeks at the FKIE in Godesberg in August - September 2019, exact times in agreement with the participants
  • Veranstaltungsnummer: MA-INF 3312

Weitere Informationen:

  • Studienabschnitt: Master Computer Science
  • Voraussetzungen: Python programming skills; Knowledge in the area of sensor data fusion, machine learning, system integration, or pattern recgnition.
  • Fachbereich: Informatik
  • Aufwand: 4.0 SWS