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SF1668 Mathematical and Numerical Analysis I 10.0 credits

About course offering

For course offering

Autumn 2024 Start 26 Aug 2024 programme students

Target group


Part of programme

Degree Programme in Vehicle Engineering, åk 1, Mandatory


P1 (6.0 hp), P2 (4.0 hp)


26 Aug 2024
13 Jan 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

Autumn 2024 Start 26 Aug 2024 programme students

Application code



For course offering

Autumn 2024 Start 26 Aug 2024 programme students


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Course coordinator

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Headings with content from the Course syllabus SF1668 (Autumn 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Function, graph of a function. Elementary functions, the unit circle, trigonometric formulas and equations, exponential and logarithm functions, power laws, logarithm laws. Limits, standard limits, continuity. Derivative, rules of differentiation and applications: extreme value problems, graphing, inequalities. Taylor's formula with error estimation. Numerical solutions of nonlinear equations with the fixed point method and Newton's method. Linear differential equations with constant coefficients and their applications. Numerical solutions of linear differential equations using Euler's method. Riemann integral, primitive function, substitution, integration by parts, partial fractions, geometric and other applications, generalized integrals. Numerical computation of integrals with the trapezoid rule and Simpson's rule. Something about series. Problem solving by breaking down a problem into parts. The use of mathematical software to solve engineering and mathematical problems, conduct numerical experimentation and present solutions. Basic concepts and ideas in numerical methods: algorithms, computational cost, local linearization, iteration, discretization, convergence, stability.

Intended learning outcomes

After completing the course a student should be able to

  • use concepts, theorems and methods to solve, and present the solution of, problems in those parts of mathematical and numerical analysis described by the main contents of the course;
  • use MatLab to solve problems in those parts of numerical analysis described by the main contents of the course; and
  • read and understand mathematical text;

in order to

  • develop a good understanding for basic mathematical concepts in one-variable calculus and be able to use these concepts for mathematical modeling of engineering and scientific problems; and
  • develop skills to illustrate central concepts with a computer, solve applied problems with MatLab and visualize and present results in a clear manner.

Literature and preparations

Specific prerequisites

Basic requirements. 

Recommended prerequisites

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Announced no later than 4 weeks before the start of the course on the course web page.

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


  • LAB1 - Lab Assignments, 2.0 credits, grading scale: P, F
  • LAB2 - Lab Assignments, 2.0 credits, grading scale: P, F
  • TEN1 - Examination, 6.0 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.

The examiner decides, in consultation with KTHs Coordinator of students with disabilities (Funka), about any customized examination for students with documented, lasting disability.The examiner may allow another form of examination for re-examination of 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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