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
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