Course content

Process modelling builds on the basic conservation principles, the transport phenomena, thermodynamics and mathematical physics. We teach on how these models are being built systematically so that we have precisely the knowledge required neither more nor less. Models we establish formulate implicitly different mathematical problems that need to be solved in order to get an over-all solution. We learn on how to approach and solve these problems effectively using mathematical and computer-based numerical tools. Programming is seen as a core activity for achieving this latter goal. Examples taken from the different corners of our discipline are the subject of our discussions.

Learning outcome

At the end of the course the students should be able to:
- Get a birdsview of the modelling process.
- Establish an integration of the different involved subjects.
- Programming as part of solving technical problems.
- Abstraction of the plant.
- Formulation of complete process models.
- Solving simple mathematical and numerical problems using computers.
- Programming methods and a programming language.
- Have a systematic approach to problem solving.
- Know how to generate models.

Learning methods and activities

The course is given as a combination of lectures and exercises. A portfolio assessment is the basis for the grade in the course. The portfolio incluudes a final written exam (80%) and a midterm exam (20%). The portforlio is assigned a letter grade. If there is a re-sit examination, the examination form may change from written to oral. At the first retake the result from the midterm will be the same, if there is a second attempt the midterm must also be retaken.

Compulsory assignments

• Exercises

Recommended previous knowledge

It is recommended to have some knowledge in general programming.

Course materials

The curriculum will be announced at the beginning of the semester.