Part I. Basic Concepts. Physical quantities, units, the SI system. Basic concepts of measurements and measuring systems. Measurement as a source of information. Structure and the main characteristics of measuring systems. Basic informative concepts of measurement and measurement evaluation. Measurand, measurement information. Types and tasks of measuring techniques. Time functions and signals corresponding to the measurand. Distortion of measurement information, measurement errors. II. Aids Used in Measurement Evaluation. Probability calculus, stochastic (random) processes (Introduction). Probability calculus. Stochastic (random) processes. Computing techniques. Approximate values and their errors; operations with approximate values. Logarithmic units, levels. Aids used in the numerical evaluation of measurement. III. Measurement Evaluation; Means and Methods. Evaluation of deterministic measurement information. Part 1. Evaluation of zero and one-dimensional measurement information. General problems. Evaluation of one-dimensional measurement information. Evaluation of deterministic measurement information. Part 2. Evaluation of two- and multidimensional measurement information (signals) by value; mathematical and geometric interpretation of functional relationships determined by measurement. Empirical formulae. Graphical methods. Evaluation of deterministic measurement information. Part 3. Evaluation by frequency; frequency analysis, spectral evaluation; methods of analysis. Basic concepts. Examination and evaluation of the frequency dependent behaviour of measuring instruments. Devices used in frequency analysis. The objectives of frequency analysis. Evaluation of stochastic measurement information. Basic concepts, general problems. Statistical analysis. Correlation analysis. References. Appendix. Subject Index.