Inhalt
[ 921PECOPSEU13 ] UE Pervasive Computing: Systems and Environments
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| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 1,5 ECTS |
M1 - Master's programme 1. year |
Computer Science |
Alois Ferscha |
1 hpw |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Master's programme Computer Science 2021W |
| Objectives |
The realization of pervasive computing systems requires a significant paradigm shift towards distributed and mobile computing, sensor networks, context-aware technologies, and artificial intelligence. These topics will be in the focus of this course, which will provide an environment for experimenting and solving practical problems in this field.
The students will have the opportunity to work with the state-of-the-art of sensing technologies and practice various machine learning classification methods. The students should gain hands-on experience in all phases of pervasive system design and development and a practical understanding of the embedded computing time and space constraints.
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| Subject |
- exploratory research methods
- machine learning algorithms
- focused system design and development in the domain of wireless sensor networks
- mobile and wearable computing
- data mining and data science
- signal processing
- smart home/office/car/city, sports and healthcare, entertainment and gaming
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| Criteria for evaluation |
Assessment of 5 assignments.
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| Methods |
Classroom presentation of the topics required for individual home work to be conducted and submitted regularly (every 3 weeks).
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| Language |
English |
| Study material |
Hansmann, U.; Merk, L.; Nicklous, M.; Stober, T.: Pervasive Computing Handbook. Springer, Berlin/Heidelberg/New York, 2001.
Krumm, J.: Ubiquitous Computing Fundamentals. CRC Press, Boca Raton, 2010.
Norman, D. A.: The Invisible Computer. MIT Press, Cambridge/MA, 1999.
Weiser, M.: The Computer for the 21st Century. Scientific American, 1991.
Additional material will be recommended during the semester.
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| Changing subject? |
No |
| Further information |
https://www.jku.at/institut-fuer-pervasive-computing/
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| Corresponding lecture |
INMPPUEPCIN: UE Pervasive Computing Infrastructure (1,5 ECTS)
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| On-site course |
| Maximum number of participants |
- |
| Assignment procedure |
Direct assignment |
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