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Fundamentals of Computer Physics I - NBCM321

Title:	Základy počítačové fyziky I
Guaranteed by:	Institute of Physics of Charles University (32-FUUK)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2022
Semester:	winter
E-Credits:	6
Hours per week, examination:	winter s.:2/2, MC [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	Czech
Teaching methods:	full-time
Teaching methods:	full-time
Note:	enabled for web enrollment

Guarantor:	RNDr. Ivan Barvík, Ph.D.
Classification:	Mathematics > Mathematical Modeling in Physics Physics > Mathematical and Computing Modelling in Physics, Surface Physics and P. of Ion.M.

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Annotation -

Last update: T_FUUK (14.05.2009)

Main directions of computational physics. Hardware and software basis of computational physics. Computer modelling, computer graphics, image processing, integral transforms. Basic numerical methods. Introduction to mathematical statistics and theory of probability.

Aim of the course -

Last update: T_FUUK (14.05.2009)

Students will learn basic numerical algorithms (see annotation and syllabus).

Course completion requirements -

Last update: RNDr. Ivan Barvík, Ph.D. (30.10.2019)

The credit is awarded on condition of at least 70% attendance.

In case of non-fulfillment, it is necessary to elaborate and present tasks from topics where absences occurred.

Another condition is the elaboration of assigned project.

Teaching methods -

Last update: T_FUUK (14.05.2009)

Lectures and practical exercises in computer lab

Syllabus -

Last update: T_FUUK (14.05.2009)

Basics of computational physics

Characterisation of computer technique

computer and microcomputer architecture, programming languages, operating systems, structural programming.

Main directions of computational physics

Computer modelling

Molecular dynamics method ? principle, difference equations, errors,

implementation of many body algorithms.

Introduction to the theory of probability

Monte Carlo method ? principle, generation of random numbers, transformation of random numbers, application of Monte Carlo method in physics.

Fluid modelling

Hybrid modelling ? principle, application in physical electronics.

Computer graphics and visualisation

basic algorithms, applications.

Image processing

low-level image processing, image analysis.

Integral transforms

fast Fourier transform and its application in physics.