FYS-4096 Computational Physics, 5 cr
Additional information
Suitable for postgraduate studies
Person responsible
Jaakko Akola
Lessons
Implementation 1: FYS-4096 2015-01
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Requirements
No final exam. Weekly exercise assignments.
Learning Outcomes
The students will gain basic knowledge in computational physics which will enable them to continue research projects on more specific themes. The students have to be able to perform numerical work independently, analyse the results critically, and visualise them in an appropriate manner.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Classical mechanics | Projectile motion Pendulum and chaos Electrostatic fields Wave motion | |
| 2. | Random phenomena | Random numbers Monte Carlo methods Ising model Diffusion | |
| 3. | Quantum mechanics | Time-independent and time-dependent Schrödinger equations |
Instructions for students on how to achieve the learning outcomes
The only way to learn the topics of the course is to do the (compulsory) weekly exercises.
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Study material
| Type | Name | Author | ISBN | URL | Additional information | Examination material |
| Book | Computational Physics | Giordano and Nakanishi | No | |||
| Book | Monte Carlo Methods | Newman and Barkema | No |
Correspondence of content
| Course | Corresponds course | Description |
| FYS-4096 Computational Physics, 5 cr | FYS-4090 Computational Physics, 5 cr |