- Docente: Lorenzo Peretto
- Credits: 6
- SSD: ING-IND/12
- Language: Italian
- Teaching Mode: In-person learning (entirely or partially)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Mechanical Engineering (cod. 0927)
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from Feb 18, 2026 to Jun 04, 2026
Learning outcomes
The student acquires knowledge in the field of measurement procedures, uncertainty evaluation and signal processing; moreover he learns testing procedures and operations on a machines and systems.
Course contents
- Metrology
- Probability
- Statistics
- Statistical tests and Testing Hypotheses
- Automatic measurement systems
- Metrological characterization of the measuring instruments
- Guide to the expression of uncertainty in measurement (GUM): Assessment methods of the uncertainties of Type A and Type B
- Supplement 1 to the GUM - Monte Carlo Method
- Analysis of signals in the time domain: causal and non-causal signals; Dirac impulse; sampling of a signal; periodic repetition of a signal; periodic exponential; amplitude modulation of a signal; discrete-time signals; RMS values, Powers, Energies
- Analysis of systems in the time domain: analysis of LTI systems; causal discrete-time systems; LTI discrete systems
- System analysis in the frequency domain: Fourier Transform; Parseval Theorem; Fourier Transform of the Dirac impulse; Fourier Series; Fourier Series of a periodic signal; Sampling of a periodic signal; Leakage effect; Sampling Theorem and Aliasing effect; Discrete-Time Fourier Transform; Discrete Fourier Series
- Input conditioning circuits of measuring instruments: the Op-Amp
- Sensors and Transducers used for mechanical applications (background)
Readings/Bibliography
Educational material provided by the teacher
Teaching methods
Lectures by using slides and electronic board; laboratory experiments.
Assessment methods
Oral examination
In accordance with the University Code of Ethics, students are urged to maintain the utmost integrity. Any activity aimed at improperly altering the outcome of exams (e.g., cheating, plagiarism, accessing online learning resources, or using unauthorized AI tools) is prohibited. In particular, the mere possession of unauthorized equipment or materials during the exam will result in the immediate cancellation of the exam and reporting to the relevant authorities.
Conduct violating this prohibition may result in disciplinary proceedings or reporting to the relevant authorities, if criminally relevant; in the latter case, there is a risk that the students involved may face criminal prosecution.
Teaching tools
Laboratory practice with the use of Octaves to analyze measurement uncertainties and to anallize acquired signals in both the time and frequency domains.
Office hours
See the website of Lorenzo Peretto