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SF1544 Numerical Methods, Basic Course IV 6.0 credits

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For course offering

Autumn 2024 CTFYS2,CLGYM programme students

Application code


Headings with content from the Course syllabus SF1544 (Autumn 2021–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Numerical methods for various types of linear systems of equations (full, triangular, banded), the least squares method for inconsistent systems, nonlinear equations (scalar and system), eigenvalue problem, integration, derivation, interpolation and initial and boundary value problems for ODE. Basic technologies for numerical methods, as iteration, linearisation, discretisation and extrapolation, and theoretical concepts as order of accuracy, speed of convergence, complexity, condition and stability.

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.

  • For a general formulation of a technical or scientific problem: be able to identify and classify the mathematical subproblems that need to be solved, and reformulate them to be suitable for numerical treatment.

  • Be able to choose, apply and implement numerical methods to produce a solution to a given problem.

  • Be able to use concepts in numerical analysis to describe, characterize and analyze numerical methods and estimate the reliability of numerical results.

  • Be able to clearly present problem statements, solution approaches and results.

Literature and preparations

Specific prerequisites

  Completed course DD1331 Fundamentals of Programming or DD1312 Programming Techniques and Matlab.

Recommended prerequisites

SF1672 Linear Algebra and SF1674 Multivariable Calculus. 


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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 - Laboration Work, 1.5 credits, grading scale: P, F
  • LABB - Laboration Work, 1.5 credits, grading scale: P, F
  • TEN1 - Written Examination, 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.

In this course, the code of honour of the school is applied, see:

The examiner decides, in consultation with KTHs Coordinator of students with disabilities (Funka), about any customized examination for students with documented, lasting disability. T

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

SF2520 Applied Numerical Methods, SF2521 Numerical Solutions of Differential Equations,

SF2561 The Finite Element Method. SF2568 Parallel Computations for Large- Scale Problems


Anna-Karin Tornberg (