Sensors and Instrumentation

Measurement uncertainty: Bias/random errors; Selectivity/sensitivity; Calibration. Noise analysis: Noise, sources and properties, e.g. Thermal noise, 1/f-noise, shot noise, noise in A/D and DA converters; Modeling of noise in electrical circuits. Sensors: Static vs dynamic properties of transducers; Transfer functions; Ideal and realistic transducer models; Resolution, linearization, dynamic range, detection threshold. Sensor types: Environment and bio sensors; Fiberoptical sensors; MEMS; Human's sensing organs, etc

The course will give students a thorough understanding of the theory of measurement uncertainty and how it affects the performance and accuracy of a measurement system. The subject will also provide knowledge of different types of noise in electronic systems. The course will also provide students with in-depth knowledge of the most important measurement principles in acoustic, optical and radio-based sensors. Knowledge: The candidate has - Basic knowledge of the theory of measurement uncertainty and how it is used in practice. - In-depth knowledge of how measurement uncertainty and noise contribute to the performance and accuracy of a sensor system. - Basic knowledge of the principles of different analog-to-digital converters. - In-depth knowledge about sources of noise in instrumentation circuits, and the characteristics of the different types of noise that occur. - In-depth knowledge of the most important measurement principles used in acoustic, optical and radio-based sensors. Skills: The candidate can - perform calculations of noise and measurement uncertainty in an instrumentation system - Perform practical measurements using sensors, estimate measurement uncertainty, and express it on standard format. - design an instrumentation circuit and analyze its properties such as noise, dynamic range and linearity. General competence: The candidate can - collaborate on conducting practical measurements with various laboratory sensors. - write and deliver exercises and lab reports from laboratory exercises.

Lectures; Guest lectures; Compulsary laboratory exercises with associated lectures and compulsary exercises.