FMF3035 System thinking and modelling of complex dynamic systems 6.0 credits
The course provides an introduction to system thinking and modelling of complex, dynamic sociotechnical systems by using the modelling framework system dynamics.
Information for research students about course offerings
Registration: Please send an e-mail to firstname.lastname@example.org, including your name, personal id no and the course code.
For course related questions, contact: Anna Pernestål (email@example.com)
Choose semester and course offering
Choose semester and course offering to see information from the correct course syllabus and course offering.
Content and learning outcomes
The course includes literature studies, lectures, seminars (discussions), hand-in exercises, a project work, and presentation. During the course, the students will continuously give feedback on each other’s work. Course literature comprises standard literature within the field as well as recent research articles.
- Formulation of dynamic problems
- Fundamental concepts within system thinking and system design (e.g. causality, Little’s Law, feedback)
- Causal Loop Diagrams
- Mental models
- System structures and system archetypes
- Naming convention and ”good practice” with modelling with system dynamics.
- The modelling process
- Validation of system dynamics modell
- Communication using system dynamics models
Intended learning outcomes
The course gives the students an introduction to systems thinking and modelling of complex dynamic sociotechnical systems by using the methodology System Dynamics.
After the course, the student should be able to:
- Describe central terms and concepts within system thinking
- Use these concepts to describe events, phenomena, and structures from the real world,
- Understand and explain basic system archetypes, including which system behavior that these causes.
- Describe and analyze systems from a sustainability perspective.
- Understand how System Dynamics can be used to model information flows and mental models, and to evaluate policies.
- Build, validate and analyze System Dynamics models by using Vensim (or another similar software)
- Formulate complex dynamic problems, and analyze them by using System Dynamics
- Argue for the results validity
- Use system thinking and System Dynamics modelling to communicate results to stakeholders and actors
Literature and preparations
Admitted to PhD studies in a relevant field.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- INL1 - Hand in exercise, 2.0 credits, grading scale: P, F
- PRO1 - Project, 3.0 credits, grading scale: P, F
- SEM1 - Seminars, 0.5 credits, grading scale: P, F
- SEM2 - Seminars, 0.5 credits, grading scale: P, 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
To pass the course, attendance at at least 80% of seminars is required.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
- 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 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 FMF3035