2SPIS212 Game and Systems Thinking

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 

 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 

The course is organised as a combination of lectures, practical exercises and supervision. 

• 3–5 group-based assignments
• attendance at lectures in accordance with the teaching plan
• attendance at laboratory teaching in accordance with the teaching plan 

• 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.