Inhalt

[ 921PECOPSEU13 ] UE Pervasive Computing: Systems and Environments

Versionsauswahl
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
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.

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
Criteria for evaluation Assessment of 5 assignments.
Methods Classroom presentation of the topics required for individual home work to be conducted and submitted regularly (every 3 weeks).
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.
Changing subject? No
Further information https://www.jku.at/institut-fuer-pervasive-computing/
Corresponding lecture INMPPUEPCIN: UE Pervasive Computing Infrastructure (1,5 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment