The course is connected to the following study programs

  • PhD Programme in Engineering and Science

Teaching language

English.

Course contents

  • Modelling and meta-modelling for describing a domain precisely: approach, tools, state of the art.

  • Notations, architectures and models for describing and analysing distributed communicating distributed systems, e.g. process algebras, mobile calculi, event-based vs. state-based formalisms.

  • Notations, architectures and models for describing and analysing languages, e.g. abstract state machines, object constraint language, MOF, grammars. This is embedded in the use of a meta-modelling environment.

 

Learning outcomes

After completing the course, the student is expected to:

  • understand the research questions and research methods in formal methods as they are applied to mobile communication systems

  • know the advantages and disadvantages of using formal methods depending on the application area

  • be able to apply formal methods in their own specialization area

  • be able to simplify and formally model complex problems

  • have an in-depth understanding of the relation between models and reality in their own specialization area

  • be able to compare different formal views on their own specialization area

Assessment methods and criteria

Oral examination. Pass/Fail.

Last updated from FS (Common Student System) June 30, 2024 1:36:22 AM