MET 0910 Mathematics

MET 0910 Mathematics

Course code: 
MET 0910
Course coordinator: 
Robert Gunder Hansen
Course name in Norwegian: 
Matematikk for økonomer
Product category: 
Bachelor - Common Courses
2020 Autumn
Active status: 
Level of study: 
Teaching language: 
Course type: 
One semester

This is a basic course in mathematics. The course is a compulsory part of the bachelor programs in business administration subjects. The course will be carried out during the first year over two terms. The first term will contain basic algebra, functions with one variable, and will give a basis for the main part of the course, which is in the second term.

Please note!

Due to the Covid-19 situation, BI Norwegian Business School has decided that the exam in this course will be changed in the autumn of 2020. The course will this autumn be evaluated with a home exam that counts 100%. This will be assessed as passed / failed.

Learning outcomes - Knowledge

After completing this course the students have acquired mathematical knowledge in basic algebra and function theory, also functions in several variables.

Learning outcomes - Skills

The aim is to develop a deeper understanding of mathematical concepts both through the ability to perform mathematical calculations and to gain a deeper conceptual understanding. This means, for example, the ability to see connections between algebraic and graphical representations of one and the same problem or to see connections between mathematics and other subjects, especially economics. In addition, students gain skills in understanding math problems and choose appropriate strategies to solve them.

General Competence

Students' ability of analytical thinking and an ability to reflect on the results and calculations will be strengthened by through the course.

Course content
  • Elementary algebra and solution of equations and equation systems
  • Function concept and basic functions as polynomial functions, rational functions, exponential and logarithmic functions
  • Differentiation and function analysis: limits, continuity, derivatives, derivatives of composite functions, application of differentiation in economic issues, analysis of functions, elasticity
  • Series and financial mathematics
  • Easy integration
  • Functions of several variables: partial derivatives, stationary points. Maximum and minimum problems for two variables with and without constraints (Lagrange method)
  • Determinants and solutions of equations using Gauss-elimination.
Teaching and learning activities

The original course MET 2910, is taught over one year and consists of an introductory part of 36 hours and an advanced part of 48 hours. The introductory section is carried out with one session per. week during the fall semester and the advanced section with two session’s per. week in the spring semester, each session lasting at least for two hours. The lectures will review key parts of the curriculum. Some topics that are reviewed in the introduction part can be known for certain.

Exercises presented by the students will be a key part of lectures and feedback will be given through review and discussion of the exercises. Each week there will be prepared a work programme with literature references and tasks will be prepared. Students must acquire the substance in the reference literature and solve problems. Some of the tasks will be discussed in plenary sessions.

Two assignments, one in each semester, should be submitted. These will be posted 14 days before the deadline. After the answers have been, the students will receive feedback through a discussion and review of  the solution in class.

In course delivery as online courses, lecturer will, in collaboration with the student administration, organize an appropriate course implementation, combining different learning activities and digital elements on the learning platform. Online students are also offered a study guide that will contribute to progression and overview. Total recommended time spent for completing the course also applies here.

Software tools
No specified computer-based tools are required.
Additional information

For å støtte studentenes læreprosess, arrangerer BI seminargrupper og andre veiledningstilbud ved våre Campuser. Det oppfordres sterkt til at studentene deltar på disse tilbudene for å oppnå faglig mestring.


Higher Education Entrance Qualification.

Required prerequisite knowledge

No particular prerequisites.

Exam category: 
Form of assessment: 
Written submission
5 Hour(s)
Home Exam
Exam code: 
Grading scale: 
Type of Assessment: 
Ordinary examination
Total weight: 
Student workload
36 Hour(s)
Introductory part
Prepare for teaching
10 Hour(s)
Introductory part
Group work / Assignments
14 Hour(s)
Introductory part
48 Hour(s)
Advanced part
Prepare for teaching
71 Hour(s)
Advanced part
Group work / Assignments
75 Hour(s)
Advanced part
6 Hour(s)
Advanced part
Sum workload: 

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 7,5 ECTS credit corresponds to a workload of at least 200 hours.