Pervasive Computing

Lecturer Patricia Arias-Cabarcos
Exercises M.Sc. Wirtsch.-Inf. Felix Maximilian Roth
ID-number IS 625
Prerequisites Recommended: IS 554 or Java programming
Course Language English
Form of assessment Written (60 min) or oral examination
Applicable for M.Sc. Business Informatics, M.Sc. Management, M.Sc. Business Education, M.Sc. Economics, Diploma Business Administration, Diploma Business Informatics
Start 20.02.2018 (Exercise: 28.02.2018)
End 29.05.2018 (Exercise: 30.05.2018)


This module gives an overview on Pervasive Computing systems. These systems consist of dynamic collections of (possibly mobile and/or embedded) devices that collaborate with each other depending on the state of their current physical environment or context.

The module introduces systems, concepts and algorithms for Pervasive Computing, e.g. adaptation frameworks, context management, sensors and actuator networks.

Learning Outcomes

After this course, the students should know about

  • Location and Context Aware Systems
  • Context Management
  • Localization, e.g. using GPS
  • Sensor and Actuator systems, including Sensor Networks
  • Smart tagging systems, e.g. using optical tags or RFID
  • Adaptation and dynamic reconfiguration techniques
  • System software for Pervasive Computing


Time Monday Tuesday Wednesday Thursday Friday
B1 (08:30am - 10:00am)
B2 (10:15am - 11:45am) Lecture (O148)
B3 (12:00pm - 13:30pm) Exercise (O135)
B4 (13:45pm - 15:15pm)
B5 (15:30pm - 17:00pm)
B6 (17:15pm - 18:45pm)