Intelligent Sensors

Recommended Prerequisites

Electronics I, Electronics II, Instrumentation and Measurements

Teaching Methods

Theoretical classes with detailed presentation, using audiovisual means, of the concepts, principles and fundamental theories.

Laboratory classes with execution of practical projects.

Learning Outcomes

Know and understand the main principles of  transduction of physical and chemical properties.

Provide the student with the ability to analyze and solve problems involving the use of advanced sensing systems.

Being able to design sensory systems capable of local processing and interconnection capacity with other intelligent systems.

Work Placement(s)

No

Syllabus

Introduction to intelligent sensors

Sensors

Architectures of intelligent sensors

Communication with intelligent sensors

Information processing

Applications of intelligent sensors

Head Lecturer(s)

Lino José Forte Marques

Assessment Methods

Assessment
Laboratory work or Field work: 30.0%
Exam: 70.0%

Bibliography

• Fraden, J. (2003) – Handbook of Modern Sensors: Physics, Designs, and Applications, Springer.

• Pallás-Areny, R., Webster, J.(2000) – Sensors and Signal Conditioning, Wiley.

• Frank, R. (2000) – Understanding Smart Sensors, Artech House.

• Beeby, S., Ensell, G., Kraft, M., White, N. (2004) - MEMS Mechanical Sensors, Artech House.

• Wilson, J. (2007) – Sensor Technology Handbook, Newnes.

• Webster, J. (1998) – The Measurement, Instrumentation and Sensors Handbook, CRC.

• Gardner, J. (1994) – Microsensors: Principles and Applications, Wiley.