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Research Topics in Model-Based Information Systems

Studienivå (studiesyklus)

Master level

Undervisningssemester

Irregular

Mål og innhald

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 and that leverage big open data sets. 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 big open data, semantic Internet of Things (IoT), semantic social media, semantic web services and workflows, semantic interoperability, information systems architectures, privacy and security. Semantic support for rapidly leveraging big open data sets in emergency situations is a possible application area. Examples of research and research methods in the area will also be presented and discussed.

Læringsutbyte

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

Krav til forkunnskapar

Bachelor's degree in information science or equivalent.

Krav til studierett

Master in Information Science. Other master students may apply for admission.

Undervisningsformer og omfang av organisert undervisning

Lectures, and work with assignments, presentations and discussions

Obligatorisk undervisningsaktivitet

Participation at 80% of course seminars is mandatory.

Vurderingsformer

An individual, theoretical essay with thoughtful research and discussion of an assigned topic (60%).

In addition there is a practical assignment in groups (40%).

Both assignments must be done in the teaching semester.

Karakterskala

The grading system has a descending scale from A to E for passes and F for fail.

Vurderingssemester

Irregular

Emneevaluering

INFO310 is evaluated by students every three years and by the department every year.

Institutt

Department of Information Science and Media Studies

Kontakt

Kontaktinformasjon

advice@info.uib.no

Eksamensinformasjon

  • Vurderingsordning: Essay og gruppeoppgåve

    Trekkfrist
    25.10.2017
    • Eksamensdel: Essay

      Innleveringsfrist
      08.11.2017, 14:00
      Eksamenssystem
      Inspera
      Digital eksamen
    • Eksamensdel: Gruppeoppgåve

      Innleveringsfrist
      18.12.2017, 14:00