Sensors and Measurements (ELE230)

Content

The course covers the fundamental types of sensors, the physical concepts underlying various sensing systems, data handling, the practical applications of measurement, as well as discussions of constraints and error sources.

Learning outcome

After taking this course, the student will have familiarity:

• the measurements units
• different types of sensors (i.e., inertial, physiological, environmental, and smart sensors)
• different types of sensing methods (i.e., HW based or radio signals-based)
• errors, noise, accuracy, and resolution in the measurement process
• basic overview of biomedical systems
• the physical principles utilized in the different kinds of sensors
• calibration of sensors and instruments
• basic concepts of signal processing
• sensors communication technologies (e.g., serial, Bluetooth, WiFi, MQTT, etc)
• introduction to the use of data/signals/time-series in machine learning
• sensors-based application scenarios (e.g., Human Activity Recognition based on inertial sensors, flow measurements, blood pressure, measurements of the respiratory systems or heart rate).

As part of the laboratory activity, the students will program and use an STM32 and Quanser board to perform practical measurements.

Required prerequisite knowledge

Recommended prerequisites

Exam

Coursework requirements

6 compulsory theoretical assignments. 3 compulsory project assignments.

Course teacher(s)

Course coordinator:

Course teacher:

Coordinator laboratory exercises:

Study Program Director:

Method of work

6 hours lectures and 2 hour lab working for week.

Open for

Course assessment

Literature