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Before choosing course

Basic course on computational methods. The course focus on numerical methods, analysis and programming for reliable and efficient simulations of technical and scientific processes based on mathematical models.

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* Retrieved from Course syllabus SF1550 (Spring 2021–)

Content and learning outcomes

Course contents

Based on a mathematical model, simulate technical and scientific processes. The course addresses how to structure the problem, rewrite the problem in a form that is suitable for numerical treatment, select the appropriate numerical method, implement the method, visualize and present a solution, and estimate the reliability of the results.
The course deals with:

  • numerical methods for linear systems of equations, non-linear systems of equations, optimization, interpolation, the least squares method, and integration with deterministic and probabilistic methods.
  • basic ideas and concepts such as algorithm, computational cost, iteration, local linearization, interpolation, extrapolation, discretization, order of accuracy, convergence, complexity, condition, and stability.

Intended learning outcomes

An overall goal of the course is to provide the student with insight into how numerical methods, analysis, and programming techniques can be used to make reliable and efficient simulations of technical and scientific processes based on mathematical models.
After completing the course, the student should be able to

  • given a mathematical model for a technical or scientific problem, identify and classify the mathematical subproblems that need to be solved, rewrite them in a form suitable for treatment with numerical methods and select appropriate numerical methods.
  • describe key concepts and basic ideas used in the numerical methods included in the course and be able to use these concepts and ideas to describe advantages and limitations of the methods.
  • describe, apply, implement, and evaluate the numerical methods included in the course.
  • estimate the reliability of numerical results and investigate properties of numerical methods using analytical procedures included in the course.
  • present, discuss and summarize problem statements, solution approaches, and results when solving problems.

Course Disposition

No information inserted

Literature and preparations

Specific prerequisites

Active participation in SF1625 Calculus in one variable and DD1331 Fundamentals of programming.

Recommended prerequisites

No information inserted

Equipment

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Literature

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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

Examination

  • LAB1 - Laboratory work, 1,5 hp, betygsskala: P, F
  • LAB2 - Laboratory work, 1,5 hp, betygsskala: P, F
  • TEN1 - Written exam, 3,0 hp, betygsskala: 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

No information inserted

Opportunity to raise an approved grade via renewed examination

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Examiner

Profile picture Olof Runborg

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 web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web SF1550

Offered by

SCI/Mathematics

Main field of study

Technology

Education cycle

First cycle

Add-on studies

No information inserted