Stream Data Processing
6 CPirregularlyENBeing phased out
Prerequisites
Recommended, as written
Diploma / Master in computer science, computer engineering or electrical engineering.
Contents
The module consists of several tutorials, composed according to demand and availability, list of courses is available and updated (see attachment to programme of studies). Tutorials will cover architectures, complex event processing, stream data mining, and embedded stream database systems.
Learning outcomes
Students will obtain state-of-the-art information about stream data processing in the context of failure management in complex and distributed embedded systems.
Assessment
• Oral examination, 30 min. OR • Presentation and interview covering a set of tutorials, 60 min. The actual form of the examination will be anounced at the beginning of the course.
Literature (1)
- Students get web-access to available materials from all related courses.
Remarks
Module content can be composed according to available tutorials.
Source: BTU's module description · retrieved 18 Oct 2026Original