Mathematics for Economists

MET1 Mathematics for Economists

Autumn 2020

  • Topics

    • Functions of one variable: Differentiation, convexity, elasticities, implicit differentiation, integration.
    • Geometric series, present value computations.
    • Functions of several variables: Partial derivatives, differentiation, optimizing with and without constraints.
    • Linear algebra: Linear systems of equations, inverse matrices, determinants.

  • Learning outcome

    Knowledge

    • The student masters fundamental concepts and methods in mathematics with a view towards applications in economic and administrative subjects
    • The student is familiar with some standard models for economic situations, in particular in connection with optimization problems

    Skills

    • The student is able to define simple mathematical models and to treat them analytically and numerically

    General competencies

    • The student is capable of reading and acquiring economic theory with a certain mathematical level and content

  • Teaching

    Lectures (which are recorded), digital lectures, 10 group exercises (2 hours each), one mandatory and one voluntary assignment.

  • Required prerequisites

    Matematikk R1 or Matematikk S1+S2 or equivalent.

  • Credit reduction due to overlap

    Corresponds to MET020

  • Requirements for course approval

    Two multiple tests and one individual assignment.

  • Assessment

    4 hour written school exam

  • Grading Scale

    A - F

  • Literature

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

    P. Manne: Matematikk for økonomer - Lineær algebra, NHH, 2016 (or later editions)

Overview

ECTS Credits
7.5
Teaching language
Norwegian
Semester

Autumn. Offered Autumn 2020.

Written school exam is offered both semesters (according to Regulations for Full-time Study Programmes at the Norwegian School of Economics (NHH), section 3-1).

Course responsible

Associate Professor Per Manne, Department of Business and Management Science.