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The aim of this course is to teach students to use the programs for molecular visualization and to refresh information's about the methods how to obtain the initial data for visualization. A general introduction to the development of visualization software is also included.
Last update: Fialová Jana (04.01.2018)
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Students will be able to:
Develop the software for visualization of molecules; Use the most important existing programs for molecular visualization; Prepare initial data for visualization; Be able to program simple visualization software itself;
Last update: Fialová Jana (04.01.2018)
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Absolvování ústní zkoušky. Zpracování zadaného projektu - vývoj software. Last update: Hušák Michal (16.02.2018)
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R:Hudec B., Základy počítačové grafiky, skripta ČVUT Praha,2007,9788001036082 A:Foley James D., Computer Graphics, Addison-Wesley,1999,0201848406
Last update: Fialová Jana (04.01.2018)
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Přednášky 28 hodin Last update: Fialová Jana (04.01.2018)
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Účast na přednáškách. Last update: Fialová Jana (04.01.2018)
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1. History of computer graphics development 2. Mathematics for computer graphics 3. Image and the possibility of its representation 4. Technics for the manipulation with 2D images 5. Rendering, raytracing, visualization of volumetric data 6. Software suitable for molecular visualization 7. Basics of programming in C language 8. Hardware acceleration of graphical operations; base information about OpenGL 9. Typical approaches for chemical data visualization 10. Hardware components required for visualization 11. Stereoscopic visualization, VR techniques 12. Introduction to animation techniques, movies processing 13. Volumetric visualization; application to electronic density and force field 14. Current trends in computer graphics
Last update: Fialová Jana (04.01.2018)
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R:Power point lectures (actual version available by the lecturer) Last update: Fialová Jana (04.01.2018)
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Mathematics I Last update: Fialová Jana (04.01.2018)
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Teaching methods | ||||
Activity | Credits | Hours | ||
Účast na přednáškách | 1 | 28 | ||
Práce na individuálním projektu | 1 | 28 | ||
Příprava na zkoušku a její absolvování | 1 | 28 | ||
3 / 3 | 84 / 84 |