Pervasive Computing

Lecturer Prof. Dr. Christian Becker and team
Exercises M.Sc. Martin Breitbach
ID-number IS 625
Prerequisites Recommended: IS 554, Java programming
Course Language English
Form of assessment Written (60 min) or oral examination
Registration Not required. To get access to the course material, please enter the module in the Portal2.
Applicable for M.Sc. Management, M.Sc. Business Education, M.Sc. Business Informatics, M.Sc. Economics
Start Tuesday, February 11, 2020 (10:15am in O148)

Aim of module

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