Claim up to $500 in flight credits!
Get up to $500 in flight credits or grants toward study or internship programs abroad when you apply by January 01, 2025. See our Official Rules for full details.
Instrumentation and Measurements
Engineering & Social Sciences Program
Madrid, Spain
Dates: mid Jan 2026 - early Jun 2026
Instrumentation and Measurements
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Physics
Instruction in: English
Course Code: 18322
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: Signals, Systems and Circuits. Electronic Engineering Fundamentals
DESCRIPTION
1.-Fundamentals concepts: Instrumentation and Measurements
1.1.- Metrological characterization of instruments and measurement systems. Precision, accuracy, resolution and sensitivity.
1.2.- Measurement errors and measurement uncertainty. Error propagation.
2.-Sensors.
2.1.- Sensor characterization
2.2.- Types of Sensors and classification
2.3.- Sensor examples
3.-Electronic Instrumentation systems.
3.1.- Block diagram of an electronic instrumentation system.
3.2.- Introduction to signal conditioning circuits and modulation techniques.
3.3.- Filters.
3.4.- Noise and interference in instrumentation systems.
4.-Sampling and signal acquisition.
4.1.- Analog signal sampling: Nyquist theorem and applications.
4.2.- Analog to digital converters. Working principles, characteristics and types.
4.3.- Digital to analog converters.
5.-Digital signal processing in instrumentation systems
1.1.- Metrological characterization of instruments and measurement systems. Precision, accuracy, resolution and sensitivity.
1.2.- Measurement errors and measurement uncertainty. Error propagation.
2.-Sensors.
2.1.- Sensor characterization
2.2.- Types of Sensors and classification
2.3.- Sensor examples
3.-Electronic Instrumentation systems.
3.1.- Block diagram of an electronic instrumentation system.
3.2.- Introduction to signal conditioning circuits and modulation techniques.
3.3.- Filters.
3.4.- Noise and interference in instrumentation systems.
4.-Sampling and signal acquisition.
4.1.- Analog signal sampling: Nyquist theorem and applications.
4.2.- Analog to digital converters. Working principles, characteristics and types.
4.3.- Digital to analog converters.
5.-Digital signal processing in instrumentation systems