Course contents
• I. Measurement terminology - 2:00h (Technical data, Measurement units, Measurement unit systems, International systems of units). • II. The measurement process - 2:00h (The information chain of the measurement process, what is the information and how to quantify information). • III. Informational entropy - 2h (The link between measurement information and precision class of devices).• IV. The transmission of information through the measurement system – 2:00h (Information flow and data traffic, transmission speed of information) • V. Factors that influence the measurement process – 2h (External factors, mechanical and electrical factors, human in the loop, working conditions) • VI. Measurement errors - 2h (Fundamental notions, the underlying source of measurement errors, error classification, the process of measurement precision) • VII. Systematic errors – 2h (Error characteristics, instrumentation errors, interaction errors, merging errors, errors due to the improper working conditions, human errors) • VIII. Random errors – 2h (Root causes, manifestations and properties of random errors, confidence intervals, random error compositions) • IX. Persistent errors/faults – 2h (Irwin test, Grubbs test, Romanovski test). • X. Presenting the results obtained by measurements – 2h (Statistical proof checking, T test, Fisher test) • XI. Analog to digital conversion and vice versa: ADC, DAC – 2h (Types of converters, Advantages and disadvantages) • XII. Determining the parameters of a functional dependency – 2h (Correlation and regression. least squares method, considerations on the tests of the statistical hypotheses) • XIII. Measurement devices – 2h (Types of measurement devices, technical build, systems of measurement devices, measurement deviced operation modes, simultaneous comparison methods of measurement by successive comparison) • XIV. Measurement method characteristics – 2h (Static characteristic of measurement methods, Quality indicators for static and dynamic worki