Numerical Modeling (MAF310)

The course is an introduction to numerical mathematics, with basic theory and methods for solving numerical computational problems with and without the use of computers.

Course description for study year 2023-2024. Please note that changes may occur.


Course code




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Semester tution start


Number of semesters


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The course provides theoretical background for typical algorithms used for numerical problem solving and their practical implementation using the Python programming language.

The problems discussed include systems of non-linear equations, interpolation and curve fitting, roots of nonlinear equations, numerical differentiation and integration, ordinary differential equations, eigenvalue problems and optimisation.

Learning outcome

After completion of the course the student

  • Should have knowledge about fundamental algorithms and terminology within numerical mathematics
  • Should be able to apply these algorithms to analyse propagation of errors and solve equations and differential equations

Required prerequisite knowledge


Recommended prerequisites

FYS100 Mechanics, MAT200 Mathematical Methods 2, MAT210 Real and Complex Calculus, RED102 Physics for data/electro


Written exam and 2 assignments

Form of assessment Weight Duration Marks Aid
Written exam 3/4 4 Hours Letter grades
2 assignments 1/4 Letter grades

All evaluation elements must be passed in order to get a final grade in the subject.Candidates with non-passing the assignment may re-take the assignment next time the course has regular teaching.Permitted aids for exam are simple approved calculator.

Course teacher(s)

Course coordinator:

Eero Aleksi Kurkela

Head of Department:

Bjørn Henrik Auestad

Method of work

Lectures and exercises (4 hours/week)

Overlapping courses

Course Reduction (SP)
Numerical Modeling (MAF300_1) 5

Open for

Bachelor level at Faculty og Science and Technology

Master level at Faculty of Science and Technology.

Course assessment

There must be an early dialogue between the course coordinator, the student 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 course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.


The syllabus can be found in Leganto