- Bachelor's degree in Astronomy and/or Physics
- Demonstrable knowledge of calculus
- Experience with least one programming language
During this course you will learn how to perform research with existing computational tools and simulation codes. This will be done using the AMUSE software. You will learn how to perform astronomical simulations using the AMUSE framework. Students, in groups of two, will have the choice from various projects to work on for a number of weeks and in the end give a presentation of the work done and the project results. We use the AMUSE environment to perform a number of simulations to study astrophysical phenomena.
- AMUSE in general
- Gravitational dynamics
- Stellar evolution
- Code coupling strategies
Be able to judge, select and adapt the proper numerical tools for conducting your own research.
In this course, students will be trained in the following behaviour-oriented skills:
- Problem solving (recognizing and analyzing problems, solution-oriented thinking)
- Analytical skills (analytical thinking, abstraction)
- Critical assessment (asking questions, assumption validation)
- Creativity (resourcefulness, lateral thinking)
- Collaboration (extreme programming, joined research)
Mode of instruction
- Practical classes
- Written exam, see the Astronomy master examination schedules
- Homework assignments
Blackboard is not used for this course.
- Astrophysical Recipes (Obligatory)
- AMUSE Documentation
- AMUSE Syllabus
- Introductory Python text
- Advanced Python text
Admission is decided on the first day of the course by means of an exam.