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Graduate courses

Departments' graduate courses for PhD-students.


Syllabus for

Academic year
ITR573 - Modelling and simulation
Syllabus adopted 2017-02-20 by Head of Programme (or corresponding)
Owner: TKIEK
7,5 Credits
Grading: UG - Pass, Fail
Education cycle: First-cycle
Major subject: Industrial Engineering and Management, Mathematics

Teaching language: Swedish
Block schedule: B+

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0106 Project 7,5 c Grading: UG   7,5 c    

In programs



Tekniklektor  Per Medbo


ITR571   Modelling and simulation ITR572   Modelling and simulation


In order to be eligible for a first cycle course the applicant needs to fulfil the general and specific entry requirements of the programme(s) that has the course included in the study programme.


The aim of the course is to supply the student with skills on how to plan, implement and evaluate simulation studies. The course should give an insight in when simulation is a suitable method of choice, i.a. depending on the problem at issue and available resources., and also when alternative approaches are preferable.

The focus of the course id discrete-event simulation but there is also an aim to give an overview of the possibilities of the field of simulation in general. A central theme of the course is modeling with the emphasis of how to design and develop valid model of real systems.

Learning outcomes (after completion of the course the student should be able to)

  • conclude in a specific problem situation if simulation is a advisable method of analysis,
  • within the context of a simulation study, formulate a relevant problem statement,
  • design a project plan for a simulation study,
  • select suitable data collection techniques,
  • translate data to input data models,
  • build simple models by a simulation software,
  • verify a computerized simulation model,
  • validate a simulation model,
  • plan and perform an experiment.


The course consists of the following topics:

  • the concept of simulation,
  • advantage and disadvantage of simulation,
  • applications areas,
  • planning and implementation of a simulation study,
  • conceptual modeling,
  • data collection,
  • data modeling,
  • model translation,
  • verification,
  • validation,
  • design of experiments.


The course includes lectures, exercises,a case and a short written test.


Will be announced two weeks before the course starts.


The examination consist of: a written test and oral and written reporting of exercises and case assignment.

Page manager Published: Thu 04 Feb 2021.