Research Topics in Model-Based Information Systems

The course provides the theoretical and technological foundations for developing and evolving model-centered information systems, in particular systems that are driven by semantic models, such as ontologies and vocabularies. The course also gives the academic background for supervised research on information systems that are based on semantic models.

The course reviews and discusses topical theories, technologies and standards for model-based and model-driven information systems and for suitable models and modelling languages. The course also involves actual development work using selected technologies and standards, and it covers a selection of closely related topics such as information systems architectures, web services/cloud services, semantic interoperability, privacy and security. Examples of research and research methods in the area will also be presented and discussed.

Upon completion of the course the candidate should be able to

• demonstrate understanding of central concepts in model-based information systems.
• demonstrate understanding of central concepts in information systems modelling, including ontologies and vocabularies.
• describe and discuss current research and industry trends in model-driven information systems and relevant modelling techniques.
• describe and discuss related topics such as information systems architectures, web services/cloud services, semantic interoperability, privacy and security
• understand how the theories, technologies and standards are used to solve practical problems.
• use the theories, technologies and standards to solve such problems and to justify the choices behind the solution
• know about topical reseach methods used in the area
  

Master level

Irregular