Course - Computational Physics - TFY4235
Computational Physics
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About the course
Course content
Linear algebra, finite difference methods, stochastic methods, ordinary differential equations, partial differential equations, optimization, linear programming, genetic algorithms, simulated annealing, Fourier methods, wavelet analysis, Monte Carlo methods, molecular dynamics, quantum mechanics, cellular automata.
Learning outcome
Knowledge:
The student will learn a selection of computational methods and how these can be used to solve problems within different fields of physics.
Skills and general competence:
The student will be able to formulate a strategy to solve a given problem using one or more computational methods, make it concrete through programming and running the program and then critically analyze the obtained result, communicate the result in writing in a format close to the standard used in international physics journals.
Learning methods and activities
Lectures and exercises. The course will be given in English if students on the international master program in physics are attending the course. Expected workload in the course is 225 hours.
Compulsory assignments
- Exercises
Further on evaluation
There will be three compulsory assignments given during this course. One (randomly chosen) assignment will be part of the final exam and students are expected to hand in the solution to it as part of the exam. The final exam is a multiday take-home exam (100%).
Recommended previous knowledge
Basic knowledge of physics. It is expected that the student has basic skills in programming, e.g. at the level of the course TDT4102.
Course materials
Lecture notes in English; Press, Flanery, Teukolsky and Vetterling: Numerical Recipes.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| SIF4058 | 7.5 sp | |
| FY8904 | 7.5 sp | Autumn 2010 |
Subject areas
- Physics