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Vorlesungsverzeichnis >> Fakultät Wirtschaftsinformatik und Angewandte Informatik >> Bachelor-/Masterstudiengänge Angewandte Informatik, Computing in the Humanities, International Information Systems Management, Software Systems Science, International Software Systems Science, Wirtschaftsinformatik, Wirtschaftspädagogik mit Schwerpunkt Wirtschaftsinformatik >> Lehrveranstaltungen für Master >>
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Informatik
Grundlagen der Informatik
Kommunikationsdienste, Telekommunikationssysteme, Rechnernetze
Praktische Informatik
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Containerization, Cloud and Edge Technologies -
- Dozentinnen/Dozenten:
- Guido Wirtz, Sebastian Böhm, Robin Lichtenthäler, Johannes Manner, Stefan Winzinger
- Angaben:
- Seminar, 2,00 SWS, ECTS: 3
- Termine:
- Do, 18:00 - 20:00, WE5/02.005
Einzeltermin am 23.4.2020, 18:00 - 20:00, WE5/03.004
Auftaktveranstaltung am 23.04.20, 18 Uhr
- Voraussetzungen / Organisatorisches:
- This is a master level seminar in distributed systems research topics - so anyone attending is required to have basic knowledge of distributed systems (like, e.g., discussed in DSG-(I)DistrSysB/M) and some additional knowledge about clouds and services.
- Inhalt:
- Note: we use the vc-course (see below) for organizing the seminar, so make sure you look into the vc course regarding enrollment, topics etc.
- Schlagwörter:
- Containerization, Cloud, Edge Technologies
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Privatsphäre und Sicherheit
Softwaretechnik und Programmiersprachen
Mobile Software Systeme
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MOBI-PRS-M: Master Project Mobile Software Systems, Gruppe2 -
- Dozentinnen/Dozenten:
- Simon Steuer, Daniela Nicklas
- Angaben:
- Übung
- Termine:
- Fr, 10:00 - 16:00, Raum n.V.
- Inhalt:
- The subject of this project will be Understanding Mobility: Data sets, Experiments and Analyses
Within this project, you will review and assess several data sets for mobility reseach (e.g., GPS traces or other trajectory). You will learn algorithms for staypoint detection and privacy-preservation. Later, you will design own data collection experiments and create you own data sets, either individually or in small teams, e.g. using smart phones (outdoors) or visual tracking devices (indoors). You will implement and compare some of the research algorithms on these data sets and report on the findings.
Application:https://vc.uni-bamberg.de/course/view.php?id=24052
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