course-details-portlet

MET430 - Applied mathematics for business and economics

About

Examination arrangement

Examination arrangement: Project Assignment
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Project Assignment 100/100

Course content

This is a course about doing and applying mathematical models to business and economic problems using modern computational tools. The course makes extensive use of the Python programming language and associated scientific packages.

Topics covered include

  • Introduction to computational techniques
  • Derivation and integration
  • Linear algebra:
    • Linear equation systems
    • Arrays
    • Determinants
    • Eigenvalues
    • Diagonalization
  • Difference equations
  • Differential equations
  • Linear programming

Learning outcome

Knowledge

Students will:

  • Understand how a mathematical model can be approximated on a computer.
  • Master methods within linear algebra and should be able to apply this to analyze and solve linear equation systems
  • Master matrix calculus, including the use of eigen values and eigen vectors, and apply this to solve mathematical problems, with special emphasis on applications in economics and business.
  • Be able to apply integration methods and find approximate solutions computationally.
  • Master solution methods for certain types of differential and difference equations, and should be able to analyze properties of the solutions, especially related to economic and business models
  • Be able to solve linear differential equation systems with constant coefficients

Skills

Students will:

  • Be comfortable programming in a mathematical model and finding an approximate computational solution(s)
  • Be able to master a wide range of mathematical operations to solve tasks
  • Be able to solve tasks where different parameters are included and be able to interpret and evaluate the solutions based on different values of the parameters

General competence

Students will:

  • Be able to formulate a business or economic problem as a mathematical model
  • Have a trained ability for logical thinking

Learning methods and activities

The course is organised around weekly "labs" that students work through. Students are also expected to work through weekly assignments.

Class time consists of a short introduction to a topic and time to work in groups and get feedback.

Further on evaluation

The course is only available to students admitted to a study programme under "special conditions".

Specific conditions

Admission to a programme of study is required:
Accounting and Auditing (MRR)
Economics and Business Administration (MSIVØK5)
Economics and Business Administration (ØAMSC)

Course materials

The final syllabus is given at the start of the semester.

More on the course
Facts

Version: A
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Economics and Administration
Contact information
Course coordinator:

Department with academic responsibility
NTNU Business School

Examination

Examination arrangement: Project Assignment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Project Assignment 100/100

Release
2023-12-08

Submission
2023-12-15


10:00


12:00

INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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