103-0247-00L  Mobile GIS and Location-Based Services

SemesterSpring Semester 2020
LecturersP. Kiefer
Periodicityyearly recurring course
Language of instructionEnglish


103-0247-00 GMobile GIS and Location-Based Services4 hrs
Thu12:45-16:30HIL G 22 »
P. Kiefer

Catalogue data

AbstractThe course introduces students to the theoretical and technological background of mobile geographic information systems and location-based services. In lab sessions students acquire competences in mobile GIS design and implementation.
ObjectiveStudents will
- learn about the implications of mobility on GIS
- get a detailed overview on research fields related to mobile GIS
- get an overview on current mobile GIS and LBS technology, and learn how to assess new technologies in this fast-moving field
- achieve an integrated view of Geospatial Web Services and mobile GIS
- acquire competences in mobile GIS design and implementation
Content- LBS and mobile GIS: architectures, market, applications, and application development
- Development for Android
- Introduction to augmented reality development (HoloLens)
- Mobile decision-making, context, personalization, and privacy
- Mobile human computer interaction and user interfaces
- Mobile behavior interpretation
Prerequisites / NoticeElementary programming skills (Java)

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits5 credits
ExaminersP. Kiefer
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationoral 30 minutes
Additional information on mode of examinationThe grade will be determined by (i) a 30 minutes oral exam and (ii) three graded lab assignments submitted during the semester ("obligatorische Leistungselemente"). There is no separate pass/fail for the lab part, students can present themselves for the final exam irrespective of their lab grades. The final grade depends 70% on the exam and 30% on the assignments.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

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Only public learning materials are listed.


No information on groups available.


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Offered in

Data Science MasterInterdisciplinary ElectivesWInformation
Geomatic Engineering MasterMajor in GIS and CartographyOInformation