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Last update: Procházka Aleš prof. Ing. CSc. (05.01.2018)
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Last update: Procházka Aleš prof. Ing. CSc. (05.01.2018)
Students will obtain knowledge in
(i) algorithmic approach to engineering problems, programming and visualization in the MATLAB computational environment,
(ii) the use of symbolic mathematics,
(iii) block oriented data processing in the SIMULINK environment,
(iv) computational processing of selected numerical methods with applications
(v) application of numerical methods for real data processing |
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Last update: Procházka Aleš prof. Ing. CSc. (05.01.2018)
Numerical and statistical methods, data processing, symbolic mathematics, algorithms, MATLAB programming, visualization |
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Last update: Procházka Aleš prof. Ing. CSc. (05.01.2018)
Z: F. Dušek: Matlab a Simulink, úvod do používání, FChT UPCE, Pardubice 2001
Z: J. Novák, I. Pultarová, P. Novák: Základy informatiky - Počítačové modelování v Matlabu, ČVUT Praha 2005, Fakulta stavební
D: R.L. Burden: Numerical Analysis, Brooks / Cole, 2001
D: S.C. Chapra: Applied Numerical Metods with Matlab for Engineers and Scientists, McGraw Hill, 2008
D: WIKIBOOK: MATLAB Programming, https://en.wikibooks.org/wiki/MATLAB_Programming, 2018 |
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Last update: Procházka Aleš prof. Ing. CSc. (31.08.2015)
http://uprt.vscht.cz/prochazka/pedag/lectures/SP0_MATLAB_2006EN.pdf |
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Last update: Procházka Aleš prof. Ing. CSc. (05.01.2018)
Lectures and practical verification of proposed algorithms in the computer laboratory. |
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Last update: Procházka Aleš prof. Ing. CSc. (05.01.2018)
Participation on the final colloquium with the presentation and discussion of a selected research topic. |
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Last update: Procházka Aleš prof. Ing. CSc. (05.01.2018)
1. Computational and visualization system MATLAB, algorithmic and programming tools 2. Functions, object graphics, data structures, symbolic mathematics in MATLAB 3. Block oriented computational tools, modelling in the SIMULINK environment 4. Numeric a symbolic methods of linear algebra 5. Linear and nonlinear approximation of functions, the least square method, gradient methods 6. Solution of nonlinear equations and their systems 7. Numeric and symbolic methods of interpolation, derivation and integration 8. Solution of differencial equations 9. The boundary method and the shooting method for solution of differential equations 10. Computational intelligence in data analysis 11. The use of computational methods for processing of engineering and biomedical signals 12: CASE STUDY 1: Aproximation and statistical analysis in data processing 13: CASE STUDY 2: Solution of nonlinear equations 14: CASE STUDY 3: Modeling in the block oriented SIMULINK environment |
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Last update: Procházka Aleš prof. Ing. CSc. (05.01.2018)
Fundamentals of computer intelligence |
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Last update: Procházka Aleš prof. Ing. CSc. (31.08.2015)
Mathematics 1, 2 |
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Last update: Procházka Aleš prof. Ing. CSc. (05.01.2018)
Úspěšné absolvování závěrečného kolokvia s presentací a diskusí vybraného odborného tématu. |