logo-polimi
Loading...
Degree programme
Programme Structure
Show/Search Programme
Course Details
Save Document
Degree Programme
Read Degree Programme
Quantitative data
Faculty
Infrastructures
International context
Customized Schedule
Your customized time schedule has been disabled
Enable
Search
Search a Lecturer
Search a Course
Search a Course (system prior D.M. n. 509)
Search Lessons taught in English

Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
CSimilar or integrative activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2019/2020
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (474) Telecommunication Engineering
Track Z2A - SIGNALS AND DATA ANALYSIS
Programme Year 1

Course Details
ID Code 085899
Course Title MEASUREMENTS
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester First Semester
Course Description Metrology: principles of measurements; reference standards and International System of units (SI); fundamental and secondary measurement units; units in linear and logarithmic scales; graphic representation of experimental data. Statistical analysis of measurement data: probability density function, mean, variance, correlated variables, and measurement uncertainty; compatibility between measurements and weighted mean value. Interpolation and regression of measurement data. Data acquisition systems: sampling and A/D conversion; characteristics and working principles of DACs and ADCs (speed, resolution, quantization uncertainty, number of equivalent bits); properties and use of DAQ systems; LabVIEW software for automated measurements. Instrumentation: digital voltmeters (differential and integrating) and multimeters (DMM); digital oscilloscope; basics of spectral measurements and spectrum analyzers. Applications: A couple of specific examples of measurements will be discussed in detail during exercises and experimentally verified during the Lab. activities.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
C
ING-INF/07
ELECTRICAL AND ELECTRONIC MEASUREMENT
5.0

Schedule, add and removeAlphabetical groupLecturer(s)LanguageTeaching Assignment Details
From (included)To (excluded)
---AZZZZSvelto Cesare
manifesti v. 3.7.7 / 3.7.7
Area Servizi ICT
20/01/2025