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2VSIM101 Visualisation and Simulation

Learning outcomes

By completing the course, the student will have achieved the following learning outcomes: 

Knowledge 

The student 

  • has knowledge of mathematical and physical models and methods and tools for 3D visualisation and simulation
  • has knowledge of critical thinking, communication and problem solving related to interactive products 

Skills 

The student 

  • has skills in setting up simple mathematical and physical models and using relevant programming methods and tools for 3D visualisation and simulation
  • is able to set up and visualise and simulate mathematical/physical models in a 3D API  

General competence 

The student 

  • is able to plan and carry out varied work in accordance with ethical requirements and guidelines
  • has an understanding of relevant issues of professional ethics, and is able to make a contribution to a professional community 

Course content

Central topics: 

  • introduction to simple machine learning and AI
  • visualisation of data sets/data models 
  • construction/import and visualisation of advanced 3D objects  
  • 3D simulation 

Teaching and working methods

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

Coursework requirements

  • 3–5 individual assignments 
  • attendance at lectures in accordance with the teaching plan 
  • attendance at laboratory teaching in accordance with the teaching plan 

Examination

  • 4-hour individual written examination which counts for 50% of the final grade 
  • 1 individual assignment which counts for 50% of the final grade 

To pass the course, all examinations must receive a passing grade. 

Alphabetical grades are used, on a scale from A to F, with E as the lowest passing grade.