Stockholm university
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Numerical Analysis I

In this course you learn to solve theoretical and applied mathematical problems using numerical methods.

MM5016 Numerical Analysis I replaces the earlier course MM5014 Numerical Analysis.

Course content

  • error calculus and error analysis, analysis of convergence of numerical methods
  • orientation regarding approximation theory, orthogonal polynomials
  • non-linear equations
  • numerical linear algebra, linear systems of equations, eigenvalue problems
  • numerical integration
  • interpolation and extrapolation
  • ordinary differential equations with initial and boundary value problems
  • Course structure

    The course consists of three elements; theory, a project and practical exercises.

    Teaching format

    Instruction is given in the form of lectures, exercise sessions and computer laborations.

    Assessment

    Examination for the course is done with a written examination, and written and oral presentation of the practical exercises and the project. To pass the course, you need to pass all three elements.

    Examiner

    A list of examiners can be found on

    Exam information

  • Schedule

    The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
  • Course literature

    Note that the course literature can be changed up to two months before the start of the course.

    Bayen, Kong and Siauw: Python Programming and Numerical Methods (ISBN 9780128195499)

    Gander, Gander and Kwok: Scientific Computing - An Introduction using Maple and MATLAB (ISBN 9783319043241)

    Both books are available as e-books via Stockholm University library.

    List of course literature Department of Mathematics

  • Course reports

  • More information

    New student
    During your studies

    Course web

    We do not use Athena, you can find our course webpages on kurser.math.su.se.

  • Contact