[ 921PECOPSEU13 ] UE (*)Pervasive Computing: Systems and Environments

(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
1,5 ECTS M1 - Master 1. Jahr Informatik Alois Ferscha 1 SSt Johannes Kepler Universität Linz
Quellcurriculum Masterstudium Computer Science 2021W
Ziele (*)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.

Lehrinhalte (*)
  • 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
Beurteilungskriterien (*)Assessment of 5 assignments.
Lehrmethoden (*)Classroom presentation of the topics required for individual home work to be conducted and submitted regularly (every 3 weeks).
Abhaltungssprache Englisch
Literatur (*)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.
Lehrinhalte wechselnd? Nein
Sonstige Informationen (*)
Äquivalenzen (*)INMPPUEPCIN: UE Pervasive Computing Infrastructure (1,5 ECTS)
Teilungsziffer -
Zuteilungsverfahren Direktzuteilung