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ID2011 Microsimulation 7.5 credits

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus ID2011 (Spring 2009–)
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

Literature and preparations

Specific prerequisites

No information inserted

Literature

To be announced.

Examination and completion

Grading scale

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

Examination

  • 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.

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

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.

Examiner

No information inserted

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 room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Education cycle

Second cycle