480-2030/02 – Computer Processing of Experimental Data (PZED)
| Gurantor department | Department of Physics | Credits | 3 |
| Subject guarantor | Ing. Marek Nikodým, Ph.D. | Subject version guarantor | Ing. Marek Nikodým, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | winter |
| | Study language | English |
| Year of introduction | 2018/2019 | Year of cancellation | |
| Intended for the faculties | FEI, FMT | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
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.
Teaching methods
Lectures
Seminars
Tutorials
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.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
discussion with students during the lessons
E-learning
no e-learning available
Other requirements
There are no additional requests.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
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
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.