Computational Physics (T) - physics760
| Course | Computational Physics (T) |
|---|---|
| Course No. | physics760 |
| Category | Type | Language | Teaching hours | CP | Semester |
|---|---|---|---|---|---|
| Elective | Lecture with exercises and project work | English | 2+2+1 | 7 | WT/ST |
Preparation: Theoretical courses at the Bachelor degree level
Form of Testing and Examination:
successful participation in exercises,
presentation of an independently completed project
Length of Course: 1 semester
Aims of the Course: ability to apply modern computational methods for solving physics problems
Contents of the Course:
Statistical Models, Likelihood, Bayesian and Bootstrap Methods
Random Variable Generation
Stochastic Processes
Monte-Carlo methods
Markov-Chain Monte-Carlo
Recommended Literature:
W.H. Press et al.: Numerical Recipes in C (Cambridge University Press)
http://library.lanl.gov/numerical/index.html
C.P. Robert and G. Casella: Monte Carlo Statistical Methods (Springer 2004)
Tao Pang: An Introduction to Computational Physics (Cambridge University Press)
Vesely, Franz J.: Computational Physics: An Introduction (Springer)
Binder, Kurt and Heermann, Dieter W.: Monte Carlo Simulation in Statistical Physics (Springer)
Fehske, H.; Schneider, R.; Weisse, A.: Computational Many-Particle Physics (Springer)