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Course Catalog 2014-2015
FYS-4096 Computational Physics, 5 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Jaakko Akola
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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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 | Edition, availability, ... | Examination material | Language |
| Book | Computational Physics | Giordano and Nakanishi | No | Suomi | |||
| Book | Monte Carlo Methods | Newman and Barkema | No | Suomi |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
| Course introduces computational (numerical) approaches for solving physical problems. The contents include projectile motion, celestial mechanics, pendulum and chaos, fields, waves, random systems, Monte Carlo simulations (Ising model) and solving quantum mechanical problems (Schrödinger equation). The course comprises 12 individual exercises for each week and there will be no final exam. |
Contact teaching: 50 % Distance learning: 0 % Self-directed learning: 50 % |