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2SPIS212 Game and Systems Thinking
Learning outcomes
By completing the course, the student will have achieved the following learning outcomes:
Knowledge
The student
- has knowledge of how different types of complex systems and processes can be understood, analysed and modelled both conceptually and numerically
- has an understanding of every development phase in a modelling process
- has extensive knowledge of central topics, theories, issues, processes, tools and methods in systems thinking
- is familiar with research and development work in systems thinking
- has knowledge about the subject area’s history, traditions, characteristics and place in society
- has knowledge about the social aspects of systems thinking
- has knowledge about how systems analysis can be used in game development and for simulated interactive real-time systems, differential equations and differential equation systems
Skills
The student
- is able to evaluate the models and understand their limitations
- is able to apply scientific knowledge and relevant results from research and development work to practical and theoretical issues in order to describe systems using systems thinking
- is able to reflect on their own professional practice and adapt it under supervision
- is able to find, evaluate and refer to information and academic material, and present it in a way that sheds light on an issue
- is fully conversant with relevant professional tools, techniques and forms of expression
- is able to update their knowledge regarding systems thinking
General competence
The student
- is able to plan and execute varied tasks and projects over an extended period of time, individually and as part of a group, in accordance with ethical requirements and guidelines
- is able to exchange points of view and experiences with others with a background from the subject area and in this manner contribute to the development of best practices
- is familiar with new thinking and innovation processes related to the field
Course content
Central topics:
- how causal relationships and feedback loops work in everyday systems and how cause and effect allow us to analyse, group and explain how changes to such problems arise
- how to use systems thinking, systems analysis and systems dynamics to assemble complex models
- input of systems analysis into a simulation tool and simulation and testing of own solutions
Teaching and working methods
The course is organised as a combination of lectures, practical exercises and supervision.
Coursework requirements
- 3–5 group-based assignments
- attendance at lectures in accordance with the teaching plan
- attendance at laboratory teaching in accordance with the teaching plan
Examination
- 1 group-based folder assignment which counts for 100% of final grade
In the case of group examinations, all group members share responsibility for the full content of the assignment/product/performance.
Alphabetical grades are used, on a scale from A to F, with E as the lowest passing grade.