MET 2910 Mathematics

MET 2910 Mathematics

Course code: 
MET 2910
Department: 
Economics
Credits: 
7.5
Course coordinator: 
Kristina Rognlien Dahl
Robert Gunder Hansen
Course name in Norwegian: 
Matematikk for økonomer
Product category: 
Bachelor
Portfolio: 
Bachelor - Common Courses
Semester: 
2024 Spring
Active status: 
Active
Level of study: 
Bachelor
Teaching language: 
Norwegian
Course type: 
Associate course
Course codes for multi- or associated courses
Course codeSemester
MET 2911
2023 Autumn
MET 2912
2024 Spring
Introduction

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.

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

This course is taught over one year and consists of an introductory part of 42 hours and an advanced part of 42 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.

E-Learning

Where the course is delivered as an online course, the lecturer will, in collaboration with the study administration, arrange an appropriate combination of digital learning resources and activities. These activities will correspond to the stated number of teaching hours delivered on campus. Online students are also offered a study guide that will provide an overview of the course and contribute to course progression. The total time students are expected to spend completing the course also applies to online studies.

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

To support the students' learning process, BI organizes seminar groups and other guidance services at our Campuses. It is strongly encouraged that students participate in these offers in order to achieve professional mastery.

From the academic year 2023/2024, the form of evaluation in this course has changed from four to only two exam elements. (Former exam codes MET 29101, MET 29102, MET 29103, MET 29104).

The last re-sit exams in these exam codes are offered in autumn 2023 and spring 2024.

Qualifications

Higher Education Entrance Qualification

Disclaimer

Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Required prerequisite knowledge

No particular prerequisites.

Assessments
Assessments
Exam category: 
Submission
Form of assessment: 
Written submission
Invigilation
Weight: 
30
Grouping: 
Individual
Support materials: 
  • No support materials
Duration: 
3 Hour(s)
Comment: 
A three-hour individual written exam given at the end of the introduction part, accounting for 30% of the final grade in the course.
Must be passed in order to obtain final grade in the course.
Exam code: 
MET 29105
Grading scale: 
ECTS
Resit: 
Examination every semester
Exam category: 
Submission
Form of assessment: 
Written submission
Invigilation
Weight: 
70
Grouping: 
Individual
Support materials: 
  • BI-approved exam calculator
  • Simple calculator
Duration: 
5 Hour(s)
Comment: 
A five-hour individual written exam given at the end of the advanced part, accounts for 70% of the final grade in the course.
Must be passed in order to obtain final grade in the course.
Exam code: 
MET29106
Grading scale: 
ECTS
Resit: 
Examination every semester
Type of Assessment: 
Ordinary examination
All exams must be passed to get a grade in this course.
Total weight: 
100
Student workload
ActivityDurationComment
Teaching
30 Hour(s)
Introductory part
Prepare for teaching
10 Hour(s)
Introductory part
Digital resources
10 Hour(s)
Group work / Assignments
10 Hour(s)
Introductory part
Examination
3 Hour(s)
Introductory part
Teaching
30 Hour(s)
Advanced part
Prepare for teaching
70 Hour(s)
Advanced part
Digital resources
10 Hour(s)
Group work / Assignments
70 Hour(s)
Advanced part
Examination
5 Hour(s)
Advanced part
Sum workload: 
248

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.