SylabUZ

Generate PDF for this page

Scientific calculations and numerical methods - course description

General information
Course name Scientific calculations and numerical methods
Course ID 13.7-WF-FizP-SCNM-S17
Faculty Faculty of Physics and Astronomy
Field of study Physics
Education profile academic
Level of studies First-cycle studies leading to Bachelor's degree
Beginning semester winter term 2022/2023
Course information
Semester 5
ECTS credits to win 3
Available in specialities Astrofizyka komputerowa
Course type obligatory
Teaching language english
Author of syllabus
  • dr Krzysztof Maciesiak
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Class 45 3 - - Credit with grade

Aim of the course

Learning basic both theoretical and practical skills in numerical methods. Moreover, writing computer codes and using already existing procedures to analysing research results, especially statistics. Computer simulations e.g. Monte Carlo or simple genetic algorithm.

Prerequisites

Finished course: Programming basics, Programming languages and paradigms.

Scope

- Interpolation – equations (Lagrange, Newton), selection of interpolation nodes and converging of interpolation processes.

- Approximation – least squares, polynomial, trigonometrical, fast Fourier transform.

- Numerical integration.

- Obtaining pseudorandom numbers with a set distribution.

- Approximate solving non-linear equations.

- Methods of solving boundary conditions for ordinary differential equations.

- Monte Carlo simulations in astronomy.

- Basics of genetic algorithms.

Teaching methods

Programming exercises

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Get a pass from minimum 75% programming tasks.

Recommended reading

[1] Z. Fortuna, B. Macukow, J. Wąsowski, Metody numeryczne, WNT, Warszawa 1982.

[2] S. Brandt, Analiza danych, Wydawnictwo Naukowe PWN, 1999.

[3] D. Chrobak, Fortran, praktyka programowania, Mikom, 2003.

Further reading

[1] T. Pang, Metody obliczeniowe w fizyce, Wydawnictwo Naukowe PWN, 2001.

[2] J. V. Wall, C. R. Jenkins, Practical Statistics for Astronomers, Cambridge University Press 2003.

Notes


Modified by dr Marcin Kośmider (last modification: 04-04-2022 20:49)