Knowledge of modern methods of processing and analyzing the results of measuring experiment.
• Knowledge of basic principles of construction of algorithms for modeling processes of measuring and processing of measurement data.
• Knowledge of algorithms for solving systems of equations, modeling of direct and inverse Fourier transforms in trigonometric and exponential forms.
• Knowledge of researching the complex frequency response, amplitude, frequency and phase response of measuring circuits, calculation of errors for convert units of analog measurement circuits by Monte Carlo method.
• Knowledge of methods of integral characteristics calculation of random variables and processes. Algorithm for histograms and statistical distribution functions constructing of random variables.
• Ability of programming in C ++. Features of complex numbers operation in C ++.

Modeling measuring processes on computers.

Content and objectives of course and its place within other disciplines. Major operators and functions of C ++. Definition of integral functions by rectangles, trapezoids, Simpson and Monte Carlo methods. Approximation of measuring results by polynomial of n-th degree. Solution of the equation system by Gauss-Jordan method. Numerical characteristics of random variable. The statistical series. Histogram. The statistical distribution function. Numerical characteristics of two random variables. Characteristics of random functions (processes). Stationarity and ergodicity of random process. Direct and inverse Fourier transform. Complex numbers. Characteristics of dynamic transformation of linear system over time. Laplace transform. Integrated frequency response. Studies error of complex frequency response of circuits by Monte Carlo method.

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• laboratory work (20%),
• design work (20%),
• control measure - examination (60%).