Computer Processing of Experimental Data

Content focus:
- Introductory lecture. Repeat the basic concepts: uncertainty, variables, functions.
- Statistical analysis of univariate data. Point estimates of parameters of location,
dispersion and shape.
- Introduction to Matlab - user environment command window, basic
commands and functions.
- Basic operation of Matlab, typing, using the toolbox,
statistical toolbox.
- Graphic Data Processing Matlab help.
- Presentation of data in Matlab, data from other applications and other
applications.
- Simple linear regression, regression models, nonlinear regression.
- Use of Fourier transform, properties of Fourier transform, fast
Fourier transformation (FFT).
- The ideal, natural and immediate sampling, Shannon - Kotělnikův theorem.
- Introduction to using the program Statigraf.
- Individual work, implementation of simple measurements and their processing.