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ID2011 Microsimulation 7.5 credits

Level: Advanced

Course offering missing for current semester as well as for previous and coming semesters
Headings with content from the Course syllabus ID2011 (Spring 2009–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Modelling and programming artificial systems (societies, networks, or populations) is the core activity of microsimulation. Theories, architectures, and methodologies of multi-agent systems and time geography are used as a scientific as well as an engineering backdrop for this core activity. For a social simulation to be meaningful, the agents must have means to communicate. Only then can social structures emerge, and the experiment designer may study and monitor co-operation, competition, group formation, self-organization, and other structural properties of the simulation. Controlling a microsimulation from its simple model beginnings to completed simulation experiments is a methodologically complex task, which requires both theoretical background and a mastery of technological skills. The course provides the first steps towards such control by providing ample opportunity for both theoretical studies and practical experience of microsimulation.

Intended learning outcomes

Upon completion of the course, the student should be able to:

- identify important events in the historical progression of the field of microsimulation

- classify and categorize existing microsimulation tools and methodologies

- explain the implications of running simulations on the micro scale, as opposed to on the meso and macro scales

- apply bottom-up methods to design micro scale simulation programs

- assess the adequacy of (and, as necessary, choose between) available tools for microsimulation, given a requirements specification

- present the solution to a small practical problem solved by implementing and documenting a microsimulation group programming effort

- model problems in a fashion that allows and prepares for microsimulation execution

Course disposition

No information inserted

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

No information inserted


No information inserted


To be announced.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F


  • INL1 - Assignment, 4.5 credits, grading scale: P, F
  • TEN1 - Examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

Mandatory group assignments presented at the workshop will be graded as pass or fail. At the end of the course there is also a written exam to test individual abilities and understanding, graded on the ordinary 7-step scale A/B/C/D/E/Fx/F.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted


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Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web ID2011

Offered by

ICT/Software and Computer Systems

Main field of study

This course does not belong to any Main field of study.

Education cycle

Second cycle

Add-on studies

No information inserted


Magnus Boman,, 08-16 16 78