Pervasive Computing

Lectures and Exercises: Dr. Marcus Handte

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

  • System-support and programming abstractions for adaptive distributed applications
  • Recognition, modelling and management aspects of contextual information
  • 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:

Lectures: Tuesdays 10 – 12 Uhr, Room S-A 215
Excercises: Tuesdays 14 – 16 Uhr, Room S-A 215

More Information:

To participate in the course, please register at the Moodle page of the course. The subscription password will be given out during the first lecture. If you have any questions, please contact

LSF entry: Lecture und Excercise