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Computer Processing of Experimental Data

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code480-2030/01
Number of ECTS Credits Allocated3 ECTS credits
Type of Course Unit *Choice-compulsory type B
Level of Course Unit *First Cycle
Year of Study *Second Year
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
NIK01Ing. Marek Nikodým, Ph.D.
Summary
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
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
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
Required Reading:
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


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


Recommended Reading:
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
Planned learning activities and teaching methods
Lectures, Seminars, Tutorials
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
Graded creditGraded credit100 51