Pervasive Computing

Lecturer: Dr. Marcus Handte, Exercises: Umer Iqbal

This lecture at the Master level covers the fundamentals of past and recent pervasive computing research with a specific focus on the following four areas:

  • System-support and programming abstractions for adaptive distributed applications
  • Recognition, modelling and management aspects of contextual information
  • Privacy and security mechanisms and protocols for context-aware systems and applications
  • Novel user interface examples and guidelines for pervasive computing applications

Students participating in this course should have at least basic knowledge in the areas of networking and database technology. Knowledge in machine learning and human-computer-interaction could be beneficial but is not mandatory.

The practical exercises will focus system-support for adaptive distributed applications. As part of the exercises, students will be developing a communication middleware for spontaneously networked devices using an object-oriented programming language such as Java or C#.

Place and Time:

  • Lecture: Thursdays (starting in the first week of the lecture period), from 16:00 to 18:00 Uhr in SE 008
  • Exercises: Wednesdays (starting in the second week of the lecture period), from 16:00 to 18:00 Uhr in SE 108

LSF entry: Lecture und Excercise

More Information:

Detailed information about the contents and organization of the course will be given out during the first lecture. If you have further questions, feel free to contact