Norwegian version

Mathematical Modelling

Being able to use mathematics to formulate practical problems enables us to see connections and make predictions.

Mathematical modelling includes analytical mathematics, algebra, geometry, statistics, numerical methods and programming. Our expertise covers all of these areas, which we see as an advantage.

This research group belongs to the Faculty of Technology, Art and Design.

Most of the members of the group are also members of the Mathematical modelling academic group ( at the Department of Computer Science.

Head of research group

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  • Members

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    • More about the research

      Quantitative methods are very important in many disciplines, not least engineering, where precise predictions are crucial. This is the reason why all these disciplines are taught in technical education programmes all over the world – often focusing on applications.

      Dealing with increasingly complex problems makes collaboration across the traditional disciplines necessary. 

      Our research area will consist of further developing this expertise and contributing to research literature.

      We also believe that our skills can benefit more people than at present, both students and colleagues at other departments.

      We wish to organise informal group seminars at more or less regular intervals.

      We also wish to invite researchers from other groups and programmes to these seminars, as both audience and lecturers.

      Our own research is highly relevant to the teaching of computation, which is now an important part of mathematics teaching. By ‘computation’ we mean the implementation of numerical methods – preferably applied to practical problems from the engineering students’ own fields.

      Having first-hand knowledge that enables us to find solutions to more or less complex practical problems is a great advantage in this context. Where natural, we can also make concrete references to our own research in connection with teaching.

      We also wish to be able to assist in the supervision of master’s theses that include mathematical methods. Issues relating to fluid and gas flows, for example, can be interesting and relevant in this context.

    • Partners

      We have already several established collaborations – both in Norway and abroad. We also hope to have even more partners in the future – including partners from our own faculty.

      We collaborate with:

      • the University of Oslo
      • the University of Bergen
      • Stockholm University (Sweeden)
      • the University of Cambridge (UK)
      • Universitat de Barcelona (Spain)