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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.