Mathematics for Economists

MET1 Mathematics for Economists

Autumn 2025

Spring 2025
  • Topics

    The course is a standard introductory course in mathematical analysis adapted to economic studies.

    • Functions of one variable: Exponential functions and logarithms, differentiation, convexity, inverse functions, elasticities, implicit differentiation, integration.
    • Geometric series, present value computations.
    • Functions of several variables: Partial derivatives, differentiation, optimizing with and without constraints.

  • Learning outcome

    Knowledge

    • The student has insight in functions of one or several variables composed by power functions, rational functions, exponential functions, and logarithmic functions, and is aware of how such functions may appear in economic theory.
    • The student understands the concept of differentiation and how this may be applied in discussions and optimisation of functions of one or several variables. This also includes elasticities and implicit differentiation.
    • The student is familiar with some simple models of growth and their relevance for questions of sustainable development.
    • The student understands how economic values at different points of time may be compared, and how finite and infinite geometric series may be used to analyse simple cash flows.
    • The student is familiar with the concept of integration, and how this is related to differentiation.

    Skills

    • The student can analyse and discuss functions of one or several variables composed by power functions, rational functions, exponential functions, and logarithmic functions.
    • The student can solve problems in financial mathematics by using results from finite and infinite geometric series.
    • The student can solve simple problems in integration.
    • The student can solve optimization problems with and without side conditions.

    General competencies

    • The student can apply mathematical tools to discuss problems within the subjects of economics and business.
    • The student can make precise statements and logical arguments about quantitative relations.
    • The student can work with economic literature with mathematical content.

  • Teaching

    Lectures, 10 group exercises (2 hours each).

  • Recommended prerequisites

    Matematikk R1 or Matematikk S1+S2

  • Required prerequisites

    None

  • Credit reduction due to overlap

    Corresponds to MET020

  • Compulsory Activity

    Confirmed attendance at a minimum of 7 out of 10 group sessions. In addition, the students must pass a web-based test.

    Note that documented absence, such as a medical certificate, cannot compensate for missed attendance. However, students who fail to register enough attendance may apply to the lecturer for course approval on an alternative basis. Such approval may, for example, be granted by submitting one or more short reports on selected topics.

    Approved compulsory activity from an earlier semester is still valid.

  • Assessment

    4 hour written school exam with pen and paper. All written aids are permitted.

    An assessment will be organised in the the non-teaching semester (spring) for students with a valid course approval.

  • Grading Scale

    A - F

  • Literature

    O. Dovland og P. Pettersen: Matematikk for økonomistudenter, 3rd edition, Fagbokforlaget, 2019

  • Permitted Support Material

    Calculator

    One bilingual dictionary (Category I)

    All written support material permitted (category III)

    All in accordance with Supplementary provisions to the Regulations for Full-time Study Programmes at the Norwegian School of Economics Ch.4 Permitted support material https://www.nhh.no/en/for-students/regulations/https://www.nhh.no/en/for-students/regulations/and https://www.nhh.no/en/for-students/examinations/examination-support-materials/https://www.nhh.no/en/for-students/examinations/examination-support-materials/

Overview

ECTS Credits
7.5
Teaching language
Norsk
Teaching Semester

Autumn. Offered autumn 2025

Course responsible

Professor Jan Ubøe, Department of Business and Management Science.