MM540: Mathematical methods for economics

Study Board of Science

Teaching language: Danish, but English if international students are enrolled
EKA: N300006132, N300006112, N300006102
Assessment: Second examiner: None, Second examiner: External
Grading: Pass/Fail, 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Bachelor

STADS ID (UVA): N300006101
ECTS value: 10

Date of Approval: 01-05-2018


Duration: 1 semester

Version: Archive

Comment

13012001(former UVA) is identical with this course description. 

Entry requirements

The course can not be followed by students who: have passed: MM537, MM505, MM538, DM547 og DM549.

Academic preconditions

None

Course introduction

The aim of the course is to enable the student to apply mathematical reasoning, mathematical methods and proof techniques and that the student achieves a basic understanding of philosophy of science. Moreover, it is the aim that the student acquires fundamental skills within the discipline of linear algebra in relation to applications in economy and linear models. The material covered is important in almost all aspects of mathematics and has wide-reaching applications in economics and throughout the natural sciences.

In relation to the competence profile of the degree it is the explicit focus of the course to:

Knowledge: Give the students knowledge about proof techniques and fundamental concepts in abstract mathematics (logic, sets, functions, relations). Moreover, it is the focus of the course that the student obtains knowledge about fundamental concepts and techniques in linear algebra (vector spaces, linear operators, bases, diagonalization). Finally, the course will give an introduction to philosophy of science.

Skills: Give the students the skills to solve problems in linear algebra (solve systems of linear equations, find eigenvectors and eigenvalues, find matrices for linear operators). Give the students skills to apply mathematical terminology and symbols and to formalize mathematical statements in a logically correct way.

Competences: Give the students the competences to 1) Discuss and collaborate with others around mathematical-economical problems, solution methods, results, applying standard mathematical terminology. 2) Relate examples of mathematical-economic models to real problems (within for example linear algebra, linear programming, job assignment, game theory).

Expected learning outcome

The learning objective of the course is that the student demonstrates the ability to:

  • Apply mathematical theory and results to solve concrete problems in linear algebra
  • Argue in a mathematically correct and stringent way about the steps and techniques in the solution of given problems
  • Assess whether achieved results are correct
  • Prove
    assertions by applying proof techniques such as direct proof, indirect
    proof and proof by induction. Use concepts, results and techniques
    learned in this course on known as well as new concrete problems.
  • Understand principles of mathematical thinking, argumentation and ability to carry out and understand proofs
  • Ability to handle abstract mathematical concepts
  • Ability to present in written form precise mathematical arguments.


Content

The following main topics are contained in the course:

  • Sets and cardinality 
  • Functions 
  • Logic 
  • Proof techniques: direct proof, indirect proof, proof by contradiction and proof by induction 
  • Relations, including different representations of relations, closures, partial order and equivalence relations 
  • Systems of linear equations 
  • Matrices, determninants 
  • Vector spaces 
  • Linear independence and basis for vector spaces
  • Scalar product and orthogonality 
  • Eigenvectors and eigenvalues 
  • Diagonalization 

Literature

See Blackboard for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

Autumn

Tests

Obligatory assignments during the course

EKA

N300006132

Assessment

Second examiner: None

Grading

Pass/Fail

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

To be announced during the course

ECTS value

1

Additional information

The examination form for re-examination may be different from the exam form at the regular exam.

Exam element b)

Timing

Autumn

Tests

Obligatory assignment

EKA

N300006112

Assessment

Second examiner: External

Grading

7-point grading scale

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

To be announced during the course

ECTS value

5

Additional information

The examination form for re-examination may be different from the exam form at the regular exam.

Exam element c)

Timing

January

Tests

Written exam

EKA

N300006102

Assessment

Second examiner: External

Grading

7-point grading scale

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Examination aids

Allowed, a closer description of the exam rules will be posted under 'Course Information' on Blackboard.

ECTS value

4

Additional information

The examination form for re-examination may be different from the exam form at the regular exam.

Indicative number of lessons

90 hours per semester

Teaching Method

The lectures, where the literature (curriculum) for the course will be explained, will be supplemented by exercise classes, where relevant exercises, relating to the lectures, will be solved and explained. Both of these events are supported by the students' independent work (or group-work) on the material as described in the study phase.

  • 4 hours lectures and 2 hours exercise classes in 15 weeks
  • Read the literature for the course

  • Solve exercises

Teacher responsible

Name E-mail Department
Jens Kaad kaad@imada.sdu.dk
Lene Monrad Favrholdt lenem@imada.sdu.dk

Timetable

Administrative Unit

Institut for Matematik og Datalogi (matematik)

Offered in

Odense

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