Computational Fluid Dynamics (CFD) (MSK610)

The course introduces Computational Fluid Dynamics (CFD), a tool for solving complex fluid dynamics problems using numerical techniques.

Course description for study year 2024-2025


Course code




Credits (ECTS)


Semester tution start


Number of semesters


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Computational fluid dynamics (CFD) lets us solve the governing equations for fluid dynamics for complex engineering problems. CFD is today used in a wide range of industries, some examples are:

  • air resistance in airplanes and cars
  • wind and wave loads on buildings and marine structures
  • heat- and mass transfer in chemical processing plants
  • consequence modelling of fires and explosions in the oil- and gas industry

In this course you will get an introduction to computational fluid dynamics. The first part of the course deals with fundamental theory and numerical methods. The second part of the course introduces use of the practical CFD software OpenFOAM. You will also learn how to implement new models and solvers in OpenFOAM through programming in C++.

Learning outcome


The students shall

  • know the governing equations for fluid dynamics, and how these can be described as a general transport equation
  • know the properties of the finite volume method for discretizing transport equations
  • know the fundamental discretization schemes for each term of the transport equation
  • know the most common methods for treating the coupled flow problem
  • know the most common models for turbulent flow
  • be able to discuss advantages and disadvantages of different choices of solution methods and models
  • know the most common methods for data-driven analysis of fluid flow


The students shall be able to

  • perform the discretization of all the terms in the transport equation with the finite volume method
  • implement numerical methods to solve transport equations in the Python programming language
  • perform simulations in the CFD software OpenFOAM; create simulation mesh, select initial- and boundary conditions, discretization schemes and solution methods and visualize the results
  • compare simulations against analytical and experimental results
  • implement new models in OpenFOAM using C++
  • use data-driven methods to analyse fluid flow

General qualifications

The students shall be able to

  • simplify practical problems to make them amenable for analysis with appropriate scientific methods
  • visualize and present data from simulations in a scientific manner
  • interpret results from simulations and evaluate accuracy and uncertainty
  • collaborate in groups to carry out a project work

Required prerequisite knowledge


Recommended prerequisites

DAT120 Introduction to Programming, MSK560 Fluid Dynamics


Report and written exam

Form of assessment Weight Duration Marks Aid
Report 1/2 2 Months Letter grades All
Written exam 1/2 3 Hours Letter grades None permitted

The written exam is performed digitally. The report is conducted in groups. No re-sit opportunities are offered for the report. Students who do not pass the report can retake it the next time the course is held.

Course teacher(s)

Course coordinator:

Knut Erik Teigen Giljarhus

Head of Department:

Mona Wetrhus Minde

Method of work

8 hours of lectures/tutorials a week in the start of the semester (first 6-8 weeks) and 1-2 hours of project supervision in the rest of the semester. Mandatory project work to be carried out in groups of 2-3 students.

Overlapping courses

Course Reduction (SP)
Computational Fluid Dynamics (CFD) (MSK600_1) 5

Open for

Computational Engineering - Master of Science Degree Programme Environmental Engineering - Master of Science Degree Programme Structural and Mechanical Engineering - Master of Science Degree Programme Marine and Offshore Technology - Master of Science Degree Programme
Exchange programme at Faculty of Science and Technology

Course assessment

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.


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