Overview
Although we will touch upon theoretical foundations for some of the numerical methods, this course is not meant to replace a formal and rigorous course on numerical methods. Neither it is intended to teach a modern practice in efficient programming.
Instead it aims at giving a student an overview of the most used numerical tools and the intuition about the power of quantitative computer models. The Numerical Methods in Physics course is offered by the University of Copenhagen.
Skills
After the course the students will be able to program numerical methods for solving Ordinary and Partial differential equations, perform stability analyses of the numerical methods, program agent based models, cellular automaton and basic algorithms for network analyses.
Knowledge
Learn how a number of numerical tools can be applied to solving a number of interesting , real-world physics problems including Schrodinger equation, Planetary motion, Diffusion equations, Forest fire models, Percolation on networks, Chaotic systems, etc.
Competences
The student will gain some overview of numerical tools frequently used in modern physics. In addition students will be aware of the potential caveats and will be able to better direct themselves in the extensive literature on numerical and computational techniques.
Programme Structure
- Skills
After the course the students will be able to program numerical methods for solving Ordinary and Partial differential equations, perform stability analyses of the numerical methods, program agent based models, cellular automaton and basic algorithms for network analyses.
- Knowledge
Learn how a number of numerical tools can be applied to solving a number of interesting , real-world physics problems including Schrodinger equation, Planetary motion, Diffusion equations, Forest fire models, Percolation on networks, Chaotic systems, etc.
- Competences
The student will gain some overview of numerical tools frequently used in modern physics. In addition students will be aware of the potential caveats and will be able to better direct themselves in the extensive literature on numerical and computational techniques.
Key information
Duration
- Full-time
- 1 months
Start dates & application deadlines
- Starting
- Apply before
-
- Second round applications: 1 June (after availability)
Language
Credits
7.5 ECTS
Delivered
Disciplines
Physics Mathematics Applied MathematicsAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Student insurance
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Other requirements
General requirements
Basic programming (Python or any other programming environment,) and mathematical skills (linear algebra and ordinary differential equations).
Tuition Fee
-
International
1258 EUR/fullTuition FeeBased on the tuition of 1258 EUR for the full programme during 1 months. -
EU/EEA
502 EUR/fullTuition FeeBased on the tuition of 502 EUR for the full programme during 1 months.
- EU/EEA/Swiss applicants DKK 3,750
- Non-EU/EEA/Swiss applicants DKK 9,375
Living costs for Copenhagen
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.