About this course

Linear algebra (joint with MATH122): Systems of linear equations, Gauss elimination, inverse matrices, determinants, bases, eigenvalues and eigenvectors

Learning outcome

Students are to

  1. acquire basic ideas and theorems of the theory
  2. master the standard methods in linear algebra
  3. be able to use this knowledge and these skills when solving simple applied problems.

  • Learning activities

    The teaching consists of lectures, exercise sessions and weekly practice examples

  • Teaching support

    Guidance related to the course content is given in connection with lectures and exercise sessions. Useful information will be announced in Canvas.

  • Syllabus

    Required and optional reading, syllabus etc. are available on the course web pages (Canvas)

  • Prerequisites

    MATH100

  • Assessment method

    Written examination: 3.5 hours

    One written exam Karakterregel: Letter grades Hjelpemiddel: B1 Calculator handed out, no other aids

  • About use of AI

  • Examiner scheme

    The external and internal examiner jointly prepare the exam questions and the correction manual. The external examiner reviews the internal examiner's examination results by correcting a random sample of candidate's exams as a calibration according to the Department's guidelines for examination markings.

  • Mandatory activity

    None

  • Teaching hours

    Lectures: 4 hours pr. week (first half of the spring semester). Exercise sessions: 2 hours pr. week (first half of the fall semester).

  • Reduction of credits

    MATH113, MATH130 or MATH122: 5 credits (ie, the student receives no credit for this course)

  • Admission requirements

    Special requirements in Science