Course Unit Code | 480-2030/01 |
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Number of ECTS Credits Allocated | 3 ECTS credits |
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Type of Course Unit * | Choice-compulsory type B |
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Level of Course Unit * | First Cycle |
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Year of Study * | Second Year |
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Semester when the Course Unit is delivered | Winter Semester |
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Mode of Delivery | Face-to-face |
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Language of Instruction | Czech |
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Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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Name of Lecturer(s) | Personal ID | Name |
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| NIK01 | Ing. Marek Nikodým, Ph.D. |
Summary |
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The course extends the knowledge in the field of data evaluation using computers. The emphasis is placed on practical lectures in computer laboratory. The data evaluation methods are presented in MATLAB programming language, and demonstrated using the results obtained either from computer models or from real expriments. |
Learning Outcomes of the Course Unit |
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The objective of the course is to teach the students how to apply the data processing and evaluation methods to the results obtained from various experimental techniques used in physics and chemistry. |
Course Contents |
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1. Introduction to MATLAB programming language, import of data
2. Script writting and debugging
3. MATLAB toolboxes and their applications
4. User functions writting
5. The ideal, natural and immediate sampling, Shannon - Kotelnik theorem.
6. Statistical analysis of univariate data.
7. Numeric smmothing and experimental data filtering.
8. Data convolution and deconvolution.
9. Nonparametric data regression, signal differentiation and integration.
10. Parametric regression - linear and nonlinear models.
11. Fourier analysis and its applications
12. Wavelet analysis and its applications |
Recommended or Required Reading |
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Required Reading: |
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Mathworks Inc.: MATLAB R13 HELP, Mathworks Inc., 2002.
BEVINGTON, P., KEITH ROBINSON, D. Data Reduction and Error Analysis for the Physical Sciences 3rd Edition, McGraw-Hill, 2015, ISBN 978-0072472271
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DUŠEK, F. Matlab a Simulink – úvod do užívání. Skripta Univerzita Pardubice,
Fakulta chemickotechnologická. 2000. ISBN 80-7194-273-1;
MELOUN, M., MILITKÝ, M. Kompendium statistického zpracování dat, Karolinum, 2013, ISBN 978-80-246-2196-8
BEVINGTON, P., KEITH ROBINSON, D. Data Reduction and Error Analysis for the Physical Sciences 3rd Edition, McGraw-Hill, 2015, ISBN 978-0072472271
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Recommended Reading: |
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CHAPRA, S. C. Applied Numerical Methods with MATLAB for Engineers and Scientists, McGraw-Hill, 2012, ISBN 978-0-07-340110-2 |
ZAPLATÍLEK, K., DOŇAR, B. MATLAB. Tvorba uživatelských aplikací. Praha: BEN,
2004, 216 s. ISBN 80-7300-133-0;
CHAPRA, S. C. Applied Numerical Methods with MATLAB for Engineers and Scientists, McGraw-Hill, 2012, ISBN 978-0-07-340110-2
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Planned learning activities and teaching methods |
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Lectures, Seminars, Tutorials |
Assesment methods and criteria |
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Task Title | Task Type | Maximum Number of Points (Act. for Subtasks) | Minimum Number of Points for Task Passing |
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Graded credit | Graded credit | 100 | 51 |