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Computational Physics II - NEVF532

Title:	Počítačová fyzika II
Form of teaching:	lecture+practicals
Guaranteed by:	Department of Surface and Plasma Science (32-KFPP)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2026
Duration in semesters:	1
Semester:	summer
E-Credits:	6
Hours per week, examination:	summer s.:2/2, Ex [HT]
Capacity:	unlimited
Maximum number of enrolled students:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	not taught
Language:	Czech, English
Teaching methods:	full-time
Repeated enrollment:	2 / 2 / 2 / 2

Guarantor:	RNDr. Ivan Barvík, Ph.D.
Is interchangeable with:	NEVF520

Opinion survey results Schedule Noticeboard

Annotation -

Computer graphics. Image processing. Integral transforms. New directions in computational physics.

Last update: T_KEVF (16.05.2005)

Course completion requirements - Czech

Podmínkou zakončení předmětu je úspěšné složení zkoušky.

Last update: Pavlů Jiří, doc. RNDr., Ph.D. (14.06.2019)

Literature -

Haile J.M.: Molecular Dynamics Simulation, J. Wiley Inc., New York 1992.

Rapaport D.C.: The Art of Molecular Dynamics Simulation, Cambridge University Press,

Cambridge 1995.

Hockney R.W., Eastwood J.W.: Computer Simulation Using Particles, Taylor and

Francis, New York 1988.

Demnath L., Bhatta D.: Integral Transforms and Their Applications, Taylor and Francis, New

York 2007.

Hrach R.: Počítačová fyzika I, II, PF UJEP, Ústí nad Labem 2003.

Last update: T_KEVF (05.05.2010)

Course assessment methods and requirements for successful completion, grading scheme - Czech

Zkouška je ústní a student dostává otázky dle sylabu předmětu v rozsahu, který byl prezentován na přednáškách.

Last update: Pavlů Jiří, doc. RNDr., Ph.D. (14.06.2019)

Syllabus -

1. Computer graphics
Hardware and software, basic algorithms. Visualisation of large data sets in physics.

2. Image processing
Low level image analysis, high level image analysis. Basics of mathematical morphology.

3. Integral transforms
Fast Fourier transform and its application in physics, other integral transforms. Basics of Fourier optics.

4. Percolation theory and its application in physics

5. New trends in computer modelling

6. Basics of modern computational physics
Neuron networks. Fuzzy logic. Evolutionary modelling. Wavelet transform and other advanced integral transforms.

Last update: T_KEVF (16.05.2005)