NDAK19002U CANCELLED: Topics in Simulation (ToiS)

Volume 2019/2020

This course is a master thesis preparation course for students interesting in computer simulation related topics. These include

  • Biomechanical modeling of humans and soft tissue
  • Computational Fluid Dynamics
  • Computational Physics and Mechanics
  • Rigid Body Dynamics
  • Contact Mechanics
  • and many more


During the course we survey recent research papers on topics of interest to the group of students. Students will be reading 12-14 papers over 6-7 weeks and try make one simple prototype from one of these papers taking 1-2 weeks. 

The course is intended to help give students a good idea of what topic they wish to work with and give them a solid background in the research litterature for their chosen topic.



Learning Outcome


  • Computer Simulation



  • Reading research papers in research fields related to computer simulation.
  • Communicate and discuss findings in papers to peers



  • Evaluate value of contirbutions in research papers
  • Find and select research papers relevant for own work


See Absalon when the course is set up.

Having passed courses such as CMIS and NO or equivalent.

Academic qualifications equivalent to a BSc degree is recommended.
Mixture of lectures, study groups and project group work with hand-ins.
  • Category
  • Hours
  • Preparation
  • 150
  • Project work
  • 40
  • Seminar
  • 16
  • Total
  • 206
Continuous feedback during the course of the semester
7,5 ECTS
Type of assessment
Continuous assessment
Continuous assessment based on at least one paper and one prototype presentation.
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners

Written reexam based on a report that takes outset in papers presented during the course. The report has to demonstrate the learning outcome of the course. Workload is expected to be approximately 27 hours.

Criteria for exam assesment

In order to obtain the grade 12 the student should convincingly and accurately demonstrate the knowledge, skills and competences described under Learning Outcome.