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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.