DEPARTAMENTO DE FÍSICA

 

Intelligent Sensors - EF

Ano letivo: 2018-2019
Specification sheet

Specific details
course codecycle os studiesacademic semestercredits ECTSteaching language
2000526116pt


Learning goals

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.

Syllabus
Prerequisites
Generic skills to reach
. Competence in analysis and synthesis;
. Competence to solve problems;
. Using the internet as a communication medium and information source;
. Critical thinking;
. Creativity;
. Competence in applying theoretical knowledge in practice;
. Computer Skills for the scope of the study;
. Competence for working in group;
. Competence in working in interdisciplinary teams;
. Competence in working in an international context;
. Competence in autonomous learning;
(by decreasing order of importance)
Teaching hours per semester
lectures30
laboratory classes30
tutorial guidance15
total of teaching hours75

Assessment
Laboratory or field work30 %
Project30 %
Exam40 %
assessment implementation in 20182019
Assessment Laboratory work or Field work: 30.0%
Exam: 70.0%

Bibliography of reference

• 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.

Teaching method

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

Laboratory classes with execution of practical projects.

Resources used

Placas de desenvolvimento baseadas em microcontroladores.
Componentes electrónicos para interface com transdutores.
Diversos tipos de transdutores.
Computadores pessoais e software de desenvolvimento de aplicações para microcontroladores.
Ferramentas de modelação e simulação de sistemas dinâmicos (e.g., Matlab)