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Introduction to Automation, Robotics and Industrial Control

Code:

ARCI01

Sigla:

IARCI

Áreas Científicas
Classificação	Área Científica
CNAEF	Electronics and automation

Ocorrência: 2022/2023 - 1S

Ativa?	Yes
Unidade Responsável:	Departamento de Sistemas e Informática
Curso/CE Responsável:	Automation, Robotics and Industrial Control

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
ARCIL	22	Plano de Estudos_2015_16	1	-	6	60	162
TSPARC	20	Plano de Estudos_2015_16	1	-	6	60	162

Língua de trabalho

Portuguese

Objetivos

It is intended to provide the student with an overview of the specialization areas of the TeSP Course in automation, robotics and industrial control.

Resultados de aprendizagem e competências

At the end of this course, students should have  knowledge:

1. Of the various functions of an automation, robotics and industrial control technician.


2. That allows them to characterize the different types of industrial technological processes.


3. Base of sensors, actuators and standardized signals and their application in instrumentation and measurement;


4. From the concept of calibration;


5. Present knowledge of Mathematics and Physics more oriented towards solving problems;


6. From some of the ARCI-oriented IT tools (Excel, MatLab, LabView).

Modo de trabalho

Presencial

Programa

1. Introduction to Automation, Control and Instrumentation Engineering: role of the technician specialized in ARCI; Characterization of different types of industrial processes.


2. Brief description of sensors and actuators and their application in instrumentation and measurement; Calibration concept.


3. Description of the constitution of a measurement chain.


4. Standardized signals used in instrumentation.


5. Physics Reviews.


6. Mathematics Reviews.


7. Introduction to ARCI-oriented software (Excel, MatLab, LabView).

Bibliografia Obrigatória

Rogério Largo; Introdução ao ARCI - Textos Auxiliares, 2015
João Miguel G. D. Alves Lourenço; Manual de Problemas - Introdução a Automação, Robótica e Controlo Industrial, 2017

Métodos de ensino e atividades de aprendizagem

• Discussion of themes and topics of interest to the professional area of ARCI (eg case studies).


• The theoretical contents of the curricular unit will be exposed through theoretical/practical classes. Students will be motivated to apply the skills acquired through analysis, discussion and problem solving.


• Laboratory classes: Practical work. In this way it is possible for students to relate the concepts learned in T/P classes with practical applications and introduce them to the use of ARCI-oriented software. In these classes students gain experience in analyzing and presenting data.

Software

Matlab/Simulink
Excel
LabVIEW

Palavras Chave

Technological sciences > Engineering > Control engineering

Tipo de avaliação

Distributed evaluation with final exam

Componentes de Avaliação

Designation	Peso (%)
Exame	100,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Frequência das aulas	60,00
Trabalho escrito	4,00
Estudo autónomo	79,00
Trabalho laboratorial	17,00
Total:	160,00

Obtenção de frequência

Necessary conditions for successful completion of the course are:

1. A final exam (E) with a minimum score of 10 (NF=E≥10);


2. Two Tests (T₁, T₂) with a minimum classification in both of 9 values (T₁≥8 and T₂≥8) in which the final classification, not less than 10, results from the average of the two tests (NF=(0.5×T₁+0.5×T₂)≥10).

Fórmula de cálculo da classificação final

NF=E

NF=0.5×T₁+0.5×T₂