Master Seminar Mobile Software Systems (MOBI-SEM-M)

Dozentinnen/Dozenten:

Daniela Nicklas, Aboubakr Benabbas, Golnaz Elmamooz

Angaben:

Seminar, 2,00 SWS, ECTS: 3, Registration for the Seminar on the VC will happen after the first meeting using a key

Termine:

Mo, 16:00 - 18:00, WE5/05.005
• First meeting: Monday, 24th April 2017 at 16 in the lab room WE5/05.005. • Weekly meeting: every Monday from 16 to 18 in the lab room WE5/05.005.

Inhalt:

In this seminar, the overarching topic will be Data Quality in Sensor Data Streams. We will start with a paper that deals with the issue of data quality in sensor networks by presenting a model of the data quality and its impact on the processing results. Students should take the paper as a starting point and refer to the sources in it for further ideas and propose their seminar topic. Reference of the first article:
A. Klein and W. Lehner. 2009. Representing Data Quality in Sensor Data Streaming Environments. J. Data and Information Quality 1, 2, Article 10 (September 2009), 28 pages. DOI=http://dx.doi.org/10.1145/1577840.1577845
Milestone Targets:

• Literature review

• Paper structure

• Presentation structure

Final results:

• Paper

• Presentation

MOBI-KOL: Kolloquium Mobile Software Systems/Mobility [MOBI-KOL]

Dozent/in:

Daniela Nicklas

Angaben:

Übung, 2,00 SWS

Termine:

Di, 16:00 - 18:00, WE5/05.018

MOBI-PRS-B (Part II): Bachelor Project Mobile Software Systems (ISoSySc/AI)

Dozentinnen/Dozenten:

Daniela Nicklas, Aboubakr Benabbas, Golnaz Elmamooz, Stefan Schwarz, Simon Steuer

Angaben:

Übung, 8,00 SWS, ECTS: 12

Termine:

Mi, 14:00 - 18:00, WE5/05.018
• First meeting: Wednesday, 26th April 2017 at 10 in the room WE5/04.004. • Weekly meeting: every Wednesday from 10 to 12 in the lab room WE5/05.018.

Voraussetzungen / Organisatorisches:

• Programming knowledge, especially in JAVA.
• Basics of data management and databases, especially in SQL.
• Interest in developing mobile applications for Android devices.

Inhalt:

The Living Lab is an infrastructure for Smart City Research. We plan to deploy multiple sensors and other sensing devices to collect data from the environment. We would like to expand the covered area gradually and cover a large part of the city in the future. Expansion means more challenging tasks like monitoring the status of the sensors deployed. In this project, we study mobility of students within and between university buildings (e.g., ERBA <-> FEKI). We will exploit different methods to measure mobility and analyze the collected data to detect patterns and to recommend improvements, e.g., to the bus service of the Stadtwerke. Since data plays a pivotal role we have to investigate the quality of the collected data and its impact on the processing results. Depending on the number of participants, we might use one or more following technologies:
• WIFI tracking by so-called Flowtrackers®
• People counting and tracking in the ERBA foyer
• Crowdsensing by a mobile app (to be developed within the project)
We plan to correlate the gathered information with the lecture schedules.
Learning targets:
• Design and implement mobility studies
• Analyze sensor data with data quality issues
• Learn to develop mobile applications for Android devices