1.Introduction; measurement science; trends; general architecture of a measurement system. 2. Basics of measurement; units; standards; quantities and properties- geometric, electrical and magnetic, thermal, mechanical, optical domains and interrelationships; transducers. 3. Measurement errors and uncertainty; true values, errors and uncertainty; basic definitions; measurement error and probability theory; density functions; expectation, variance and standard deviation; statistical inference; histograms; mean and standard deviation; uncertainty analysis; uncertainty and error propagation; characterization of errors; error reduction techniques. 4. Analogue signal conditioning; analogue amplifiers; analogue filters; modulation and detection. 5. Digital signal conditioning; (binary) signals and codes; sampling; reconstruction of the analogue signal; sampling devices and multiplexers; digital functions; hardware for digital signal conditioning. 6. Analogue to digital and digital to analogue conversion. 7. Measurement; thermal and optical quantities, magnetic quantities time and time-related quantities. 8. Measurement of mechanical quantities; sensors (capacitive, magnetic, piezoelectric, optical, acoustic) strain gauges. 9. Measurement of chemical quantities; potentiometry; amperometry, electrolyte conductivity. 10. Imaging instruments; imaging principles; optical imaging; advanced imaging devices; digital image processing and computer vision. Appendices; scales; units and quantities; expectations, variances and covariance of two random variables. 11. Worked Examples.