MOBI-DSC-M: Data Streams and Complex Event Processing

Dozent/in:

Aboubakr Benabbas

Angaben:

Übung, 2,00 SWS, Erster Termin: 07.11.2019

Termine:

Do, 8:00 - 10:00, WE5/01.004

MOBI-DSC-M: Data Streams and Complex Event Processing

Dozent/in:

Daniela Nicklas

Angaben:

Vorlesung, 2,00 SWS, ECTS: 6, Erster Termin: 14.10.2019

Termine:

Mo, 10:00 - 12:00, WE5/01.004

MOBI-MSS-B: Mobile Software Systems

Dozent/in:

Golnaz Elmamooz

Angaben:

Übung, 2,00 SWS, First meeting: Thursday 17th of October, 14:15 in room WE5/00.019

Termine:

Mi, 14:00 - 16:00, WE5/01.003
Do, 10:00 - 12:00, WE5/02.005

Voraussetzungen / Organisatorisches:

MOBI-MSS-B (Ü 1): Mi 14-16, WE5/01.003
MOBI-MSS-B (Ü 2): Do 10-12, WE5/02.005

MOBI-MSS-B: Mobile Software Systems

Dozent/in:

Daniela Nicklas

Angaben:

Vorlesung, 2,00 SWS, ECTS: 6, First meeting: Thursday 17th of October, 14:15 o´clock; for more information, also check https://vc.uni-bamberg.de/course/view.php?id=38268

Termine:

Do, 14:00 - 16:00, WE5/00.019

MOBI-Projekt-B [MOBI-PRS-B, MOBI-PRAI-B]

Dozentinnen/Dozenten:

Aboubakr Benabbas, Daniela Nicklas, Simon Steuer

Angaben:

Übung, 4 SWS

Termine:

Mi, 10:00 - 12:00, WE5/05.018

MOBI-Projekt-M [MOBI-PRS-M, MOBI PRAI-M]

Dozentinnen/Dozenten:

Daniela Nicklas, Simon Steuer

Angaben:

Übung, 6 SWS

Termine:

Do, 14:00 - 16:00, WE5/05.005
Registration has already passed.

MOBI-Sem-B: Bachelor Seminar Mobile Software Systems

Dozentinnen/Dozenten:

Golnaz Elmamooz, Daniela Nicklas

Angaben:

Seminar, 2,00 SWS, ECTS: 3, First meeting: Monday14th of October, 16:15 o´clock

Termine:

Mo, 16:00 - 18:00, WE5/05.003

MOBI-Sem-M: Master Seminar Mobile Software Systems [MOBI-Sem-M]

Dozentinnen/Dozenten:

Brent Lagesse, Simon Steuer

Angaben:

Seminar, 2 SWS, ECTS: 3

Termine:

Di, 16:00 - 18:00, WE5/05.003
Kick-off Dienstag, den 15.10.2019 in WE5/05.003, Folgetermine werden in Kürze bekannt gegeben

Inhalt:

This seminar is in cooperation with Brent Lagesse, an associate professor at the University of Washington Bothell. His research focus is security and privacy in pervasive computing systems that utilize untrusted data from sources such as crowd sensing and IoT devices. He was recently awarded a National Science Foundation grant to conduct research in security and privacy in crowd sensing for smart city applications with a focus on ensuring that the collected data is trustworthy, that the analysis of the data does not violate user privacy, and that users are not able to manipulate incentive systems.

Topic in this seminar are belong to his research fields:

• Privacy-preserving data stream management, e.g., in tracking applications
• Detect hidden cameras and unwanted streams in smart city environments
• Secure incentives for crowd sensing