2026
Instrumentation Topics
Name: Instrumentation Topics
Code: EME14269M
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Electrotechnical Engineering
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Presentation
This Curricular Unit appears in the syllabus of the Master's Degree in Technology in Sport and Health as optional.
Sustainable Development Goals
Learning Goals
The students will have the ability to independently develop: i) measurement processes for physical quantities; ii) selection of appropriate instrumentation equipment and; iii) analysis and critical discussion of the data generated from the measurements.
Digital instrumentation will be a common tool in the instrumentation of dynamic systems.
Digital instrumentation will be a common tool in the instrumentation of dynamic systems.
Contents
1) Introduction to Metrology: History, definitions, units and fundamental laws of physics. Notion of uncertainty and error, laws of errors and uncertainties propagation. Application to experimental data. Curve fitting by the least squares criterion.
2) Measurement transducers: Definition, physical principles, applications. Classifications of the measurement transducers.
3) Electrical analogue instruments: galvanometer, voltmeter, ammeter, ohmmeter, wattmeter, phase meter, oscilloscope, etc. ..)
4) Measurement of electrical quantities (voltage, current, resistance, impedance, etc .)
5) Measurement of quantities other than electrical: displacement, velocity, force, temperature, ...)
6) Digital instrumentation.
7) Signal processing algorithms: DFT, FFT, models adaptation.
8) Exercises and implementations with MatLab/ NI-Labview.
2) Measurement transducers: Definition, physical principles, applications. Classifications of the measurement transducers.
3) Electrical analogue instruments: galvanometer, voltmeter, ammeter, ohmmeter, wattmeter, phase meter, oscilloscope, etc. ..)
4) Measurement of electrical quantities (voltage, current, resistance, impedance, etc .)
5) Measurement of quantities other than electrical: displacement, velocity, force, temperature, ...)
6) Digital instrumentation.
7) Signal processing algorithms: DFT, FFT, models adaptation.
8) Exercises and implementations with MatLab/ NI-Labview.
Teaching Methods
The teaching method is based on theoretic/practice lessons and Laboratory Practices. An active learning will be sought that stimulates the student to search for the various themes that are necessary for the success in his Project.
The evaluation consists of 1 Final Project (TF) in the domain of Virtual instrumentation using LabView, with report describing the developed measurement process and discussion of the obtained results.
The final grade is obtained by:1.0xTF
The evaluation consists of 1 Final Project (TF) in the domain of Virtual instrumentation using LabView, with report describing the developed measurement process and discussion of the obtained results.
The final grade is obtained by:1.0xTF
Accreditations and Certifications
