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Last update: VED107 (20.01.2015)
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Last update: VED107 (20.01.2015)
Students will be able to:
Plan experimental design and data analysis Develop mathematical models for materials’ properties and optimizing materials’ composition Numerically solve ordinary and partial differential equations |
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Last update: VED107 (20.01.2015)
R:Meloun M., Militký J.: Statistická analýza experimentálních dat, Academia, 2004, ISBN: 8020012540 R:Urbánek T., Škárka J.: Microsoft Excel 97 pro vědce a inženýry, Computer press, 1998, ISBN: 8072260995 A:Cornell J.A.: Experiments With Mixtures, John Wiley, 1981, ISBN: 0471079162 A:Jarník V.: Diferenciální počet (I), Academia, 1974, ISBN: 2110174 A:Jarník V.: Integrální počet (I), Academia, 1974, ISBN: 2110874 |
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Last update: VED107 (20.01.2015)
Microsoft Excel, www.microsoft.com |
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Last update: VED107 (20.01.2015)
1. Overview of mathematical software for advanced applications in chemical engineering. 2. Experimental design. 3. Statistical analysis of data. 4. Regression analysis and fitting of models. 5. Statistical analysis of models, standard error, R square, t- and F-statistics, testing of hypothesis. 6. Calculation of materials’ properties from chemical composition. Composition optimization. 7. Numerical methods of derivation and integration. 8. Numerical solving of ordinary differential equations with initial value. 9. Numerical solving of ordinary differential equations - boundary problem. 10.Numerical solving of partial differential equations by finite differences method. 11.Numerical solving of heat transfer in glass and ceramics. 12.Numerical solving of mass transfer in glass and ceramics. 13.Numerical solving of wave function. 14.Individual project. |
Teaching methods | ||||
Activity | Credits | Hours | ||
Obhajoba individuálního projektu | 0.1 | 2 | ||
Práce na individuálním projektu | 0.4 | 12 | ||
Účast na seminářích | 1.5 | 42 | ||
2 / 2 | 56 / 56 |