Content, progress and pedagogy of the module

Learning objectives

Knowledge

The student will gain knowledge of advanced theories and methods in distributed systems:

• advanced infrastructures and applications for example. grid, cloud, peer-to-peer, or parallel / multi-core systems
• System and Network software for embedded systems
• examples of distributed embedded systems, such as ad-hoc sensor networks, home automation
• Distributed algorithms such as algorithms for mutual exclusion, selection, consensus, replication and fault tolerance
• paradigms of programming
• techniques for analysis, such as monitoring, testing, verification, and benchmarking

Skills

• able to assess and explain precisely how and to what extent the results presented can be used using the appropriate subject terminology and notation,
• use appropriate writing skills in these contexts

Competences

• be able to apply concepts and techniques from distributed systems, and to design and analyze distributed and embedded systems.

Type of instruction

The teaching is organized according to the general teaching methods for the education, cf. § 17

Extent and expected workload

It is expected that the student uses 30 hours per ECTS, which for this activity means 150 hours

Exam

Exams

Additional information

Contact: The Study board for Computer Science at cs-sn@cs.aau.dk or 9940 8854