Mathematical modelling


Content, progress and pedagogy of the module

Learning objectives


  • first and second order linear differential equations and their classification
  • boundary value and intial value problems
  • solution methods for linear differential equations
  • solution representation and regularity of solutions
  • expectation-maximisation (EM) algorithm and missing data
  • Bayesian networks
  • graphical models
  • queueing theory
  • hidden Markov models


  • can apply the relevant methodologies in one or more scenarios and interpret the results

  • can state the underlying assumptions and argue about limitations and extendibility of the methodology in one or more specific settings

  • can assess goodness-of-fit for the models where appropriate


  • can acquire supplementary knowledge about the relevant methodologies

  • can combine appropriate topics from the course to analyse a specific problem

  • can in writing describe the methodologies, results and outcome from an analysis of a specific problem

Extent and expected workload

This is a 5 ECTS course module and the work load is expected to be 150 hours for the student.


Prerequisite for enrollment for the exam

  • The students completing the module will have gained knowledge about a number of topics from mathematical modelling. The list may include, but is not limited to, the following topics:


Name of examMathematical Modelling
Type of exam
Written or oral exam
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Additional information

Please contact Study Board of Mathematical Sciences -

Facts about the module

Danish titleMatematisk modellering
Module codeK-MTK3-MAMO
Module typeCourse
Duration1 semester
Language of instructionDanish and English
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Study BoardStudy Board of Mathematical Sciences
DepartmentDepartment of Mathematical Sciences
FacultyFaculty of Engineering and Science