Research Topics in Model-Based Information Systems

Postgraduate course

Course description

Objectives and Content

The course provides the theoretical and technological foundations for developing and evolving model-centered information systems. The course offers a broad spectrum of formal method techniques including graph theory, logic (FOL, Temporal logic), model transformation, reasoning and automatic verification using model checking. This course also gives the academic background for supervised research on model-based information systems. 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 designing process models, process mining, information systems architectures, privacy and security. Examples of research and research methods in the area will also be presented and discussed.

Learning Outcomes

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:


The student will be able to

  • explain and compare various types of existing models being used for designing systems.
  • describe current modelling techniques and apply these for specifying and verifying software systems.
  • identify critical components of distributed systems and be able to diagnose problems typically occurred in safety critical systems.
  • acquire theoretical and practical experience of topical research methods in the area.


The student

  • can describe and discuss current research and industry trends in model-driven information systems and relevant modelling techniques.
  • can describe and discuss related topics such as information systems architectures, web services/cloud services, semantic interoperability, privacy and security.
  • use the theories, technologies and standards to solve such problems and to justify the choices behind the solution.
  • can describe how to specify properties of a safety critical system and verify such system.

ECTS Credits


Level of Study

Master level

Semester of Instruction

Required Previous Knowledge
Bachelor's degree in information science or equivalent.
Access to the Course
Master in Information Science. Other master students may apply for admission.
Teaching and learning methods
Lectures, and work with assignments, presentations and discussions
Compulsory Assignments and Attendance
Participation at 80% of course seminars is compulsory.
Forms of Assessment
  • Take home exam, 3 hours (30%)
  • An individual, theoretical essay with thoughtful research and discussion of an assigned topic (30%)
  • Practical assignment in groups (40%)
  • The exam assignment will be given in the language of instruction in the course.
    The exam answer must be submitted in the same language as the exam assignment.

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

    Assessment in teaching semester.

    Students with valid absence as defined in the UiB regulations § 5-5 can apply for an extended submission deadline to The application must be submitted before the deadline for submission has expired.

    Reading List
    The reading list will be ready before 1 July for the autumn semester and 1 Decemeber for the spring semester. 
    Course Evaluation
    All courses are evaluated according to UiB's system for quality assurance of education.
    Course Administrator
    Department of Information Science and Media Studies at the Faculty of Social Sciences has the administrative responsibility for the course and the study programme.