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SF1525 Basic Course in Numerical Methods 6.0 credits

This course gives an overview and basic skills in numerical methods for simulating technical and scientific processes based on mathematical models.

About course offering

For course offering

Spring 2025 Start 17 Mar 2025 programme students

Target group

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Part of programme

Degree Programme in Biotechnology, åk 2, Mandatory


P4 (6.0 hp)


17 Mar 2025
2 Jun 2025

Pace of study


Form of study

Normal Daytime

Language of instruction


Course location

KTH Campus

Number of places

Places are not limited

Planned modular schedule


For course offering

Spring 2025 Start 17 Mar 2025 programme students

Application code



For course offering

Spring 2025 Start 17 Mar 2025 programme students


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Course coordinator

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Headings with content from the Course syllabus SF1525 (Spring 2022–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Use of mathematical software to solve scientific problems, run numerical experiments and present the solutions.
  • Basic ideas and concepts in numerical methods: algorithms, computational cost, local linearization, iteration, discretization, stability, convergence.
  • Assessment of reliability: parameter sensitivity, experimental perturbation calculation.
  • Numerical methods for non-linear equations and linear systems of equations, integrals, interpolation, least squares method.
  • Analytical and numerical methods for systems of ordinary differential equations.

Intended learning outcomes

A general aim with the course is to give the student the understanding that numerical methods and programming techniques are needed to make reliable and efficient simulations of technical and scientific processes based on mathematical models.

After the course the student should be able to

  • Identify and classify the mathematical subproblems that need to be solved for a general formulation of a technical or scientific problem, and reformulate them in a form suitable for numerical treatment.
  • Choose, apply and implement numerical methods to produce a solution to a given problem.
  • Use concepts in numerical analysis to describe, characterize and analyze numerical methods and estimate the reliability of numerical results.
  • Clearly present problem setups, solution approaches and results.

Literature and preparations

Specific prerequisites

Completed course SF1625 Calculus in one variable.

Recommended prerequisites

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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F


  • LABA - Laboratory work, 1.5 credits, grading scale: P, F
  • LABB - Laboratory work, 1.5 credits, grading scale: P, F
  • TEN1 - Written exam, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study


Education cycle

First cycle

Add-on studies

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