Learning objectives
Knowledge and ability to understand: Through the front lessons held during the course, the student will acquire the methods and knowledge necessary to understand the working principles, the performances of the measuring instruments and their application fields.
Ability to apply knowledge and understanding:
Through practical classroom exercises, students learn how to apply knowledge acquired in a real context of design, as well as in multidisciplinary or non-familiar areas.
Judgment autonomy:
The student must be able to understand and evaluate critically the operation and performance of the various instruments / systems / measurement chains in order to identify the most appropriate application solutions.
Communication skills:
Through lectures and discussion with the lecturer, the student acquires the specific vocabulary inherent to the world of measurement. It is expected that, at the end of the course, the student will be able to convey, in oral and written form, the main course content such as ideas, engineering problems and their solutions.
Learning ability:
The student who has attended the course will be able to deepen his or her knowledge of metrology and sensor technology, even outside the topics covered in class, in order to deal effectively with problems in the world of work or undertake further training.
Prerequisites
Course unit content
The course aims to provide students with general criteria for the selection and implementation of measuring systems. It starts with basic metrology and the static performance of measuring instruments and then addresses the main types of sensors used in industrial plant and automation.
Full programme
Bibliography
The slides in PDF format used in the lessons.
E.O. Doebelin : Measurement Systems: Application and Design Mc Graw Hill.
https://www.ceinorme.it/it/normazione-it/vim.html
https://www.bipm.org/en/publications/guides
Teaching methods
Didactic activities are lectures regarding theoretical basis of metrology and basic principles of measurement instruments. Theoretical lessons are supported by guided practice, analysis and visualization of data with MATLAB. Slides as support for lectures will be weekly uploaded on Elly platform. To download the slides, enrolment to the course is mandatory. Slides are considered part of didactic material. It is worth remembering to non-frequenting students to check information and materials provided on Elly. The professor is available for clarifications about the lectures by appointment (via email).
Assessment methods and criteria
The exam is written and consists of a series of closed or open questions.
Questions cover the theoretical content or exercises covered in the course.
The duration of the test is 1,5 hours. The evaluation is done with the scale 0-30. The test is considered passed with a total score of at least 18 points. The honor is assigned if the maximum score is obtained in all the questions.
Answers are assessed according to the relevance and completeness of the answer and according to the mastery of the subject vocabulary.
Online registration to the exam is MANDATORY. For possible partial tests a list will be opened on Elly.
Other information
