Study programme competencies |
Code
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Study programme competences / results
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A7 |
ETI7 - Ability to design electronic systems and industrial instrumentation. |
A8 |
ETI8 - Ability to design and project automated production systems and advanced process control. |
B1 |
CB6 - Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context. |
B2 |
CB7 - That students know how to apply the knowledge acquired and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of ??study. |
B3 |
CB8 - That students are able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments. |
B4 |
CB9 - That the students know how to communicate their conclusions -and the knowledge and ultimate reasons that sustain them- to specialized and non-specialized audiences in a clear and unambiguous way. |
B5 |
CB10 - That students have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous. |
B6 |
G1 - Have adequate knowledge of the scientific and technological aspects in Industrial Engineering. |
B13 |
G8 - Apply the knowledge acquired and solve problems in new or unfamiliar environments within broader and multidisciplinary contexts. |
B14 |
G9 - Be able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments. |
B15 |
G10 - Knowing how to communicate the conclusions -and the knowledge and ultimate reasons that sustain them- to specialized and non-specialized publics in a clear and unambiguous way. |
B16 |
G11 - Possess the learning skills that allow to continue studying in a self-directed or autonomous way. |
C1 |
ABET (a) - An ability to apply knowledge of mathematics, science, and engineering. |
C2 |
ABET (b) - An ability to design and conduct experiments, as well as to analyze and interpret data. |
C3 |
ABET (c) - An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability. |
C6 |
ABET (f) - An understanding of professional and ethical responsibility. |
C7 |
ABET (g) - An ability to communicate effectively. |
C8 |
ABET (h) - The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context. |
C9 |
ABET (i) - A recognition of the need for, and an ability to engage in life-long learning. |
C11 |
ABET (k) - An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. |
Learning aims |
Learning outcomes |
Study programme competences / results |
Know the different technologies for the measurement of environment variables and integration of industrial systems in general |
AJ7 AJ8
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BJ1 BJ3 BJ5
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CJ1 CJ3
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Know the objective, operation, existing technology and know how to size industrial sensor and actuator systems |
AJ7 AJ8
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BJ1 BJ3 BJ5 BJ16
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CJ1 CJ6 CJ7
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Know the interconnection and integration technologies between sensors, actuators and equipment |
AJ7 AJ8
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BJ1 BJ2 BJ3 BJ4 BJ5 BJ6 BJ13 BJ14 BJ15
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CJ1 CJ2 CJ3 CJ8 CJ9 CJ11
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Contents |
Topic |
Sub-topic |
Measurement and obtaining of variables in industrial environments |
IoT as a product of integration of industrial systems
Introduction to the IoT ecosystem |
Choice and dimensioning of sensor and actuator systems |
IoT hardware: Architecture, sensors and actuators
IoT platforms |
Design and development of interconnection and integration systems |
Developments with Arduino
Ethernet based on Industrial networks
Industrial Internet of Things (IIoT) and Industry 4.0 |
Planning |
Methodologies / tests |
Competencies / Results |
Teaching hours (in-person & virtual) |
Student’s personal work hours |
Total hours |
Guest lecture / keynote speech |
A7 A8 B1 B3 B5 B16 B6 C1 C6 C8 C9 |
9 |
12 |
21 |
Problem solving |
A7 A8 B2 B3 B5 B13 C1 C2 C3 |
6 |
12 |
18 |
Laboratory practice |
A7 A8 B1 B2 B3 B4 B5 C1 C2 C3 C11 |
6 |
12 |
18 |
Mixed objective/subjective test |
A7 A8 B1 B2 B15 B14 C7 |
2 |
15 |
17 |
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Personalized attention |
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1 |
0 |
1 |
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(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Methodologies |
Description |
Guest lecture / keynote speech |
Keynote speech complemented with the use of audiovisual media and the introduction of some questions to students, in order to transmit knowledge and facilitate learning.
The order of the topics covered will not have to be the one described in the teaching guide. In addition, there will be topics that can be seen together on the development of others, and the division between them may not be strict. |
Problem solving |
Solving exercises and specific problems in the classroom, from the knowledge explained. |
Laboratory practice |
Performing laboratory practice as far as possible; or, failing that, an individual work was carried out, along with the correction of the work of other colleagues. In addition, this work will have to be presented in class. |
Mixed objective/subjective test |
It consists in carrying out an objective test of approximately 2 hours, in which the acquired knowledge will be evaluated. |
Personalized attention |
Methodologies
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Problem solving |
Laboratory practice |
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Description |
The student has the relevant meetings of personalized tutorials, to resolve the concerns arising from the matter. |
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Assessment |
Methodologies
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Competencies / Results |
Description
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Qualification
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Mixed objective/subjective test |
A7 A8 B1 B2 B15 B14 C7 |
Exam with part of multiple choice, development questions and exercises |
50 |
Problem solving |
A7 A8 B2 B3 B5 B13 C1 C2 C3 |
Resolution of a practical case |
20 |
Laboratory practice |
A7 A8 B1 B2 B3 B4 B5 C1 C2 C3 C11 |
Some tasks established in the subject, within the framework of this methodology |
30 |
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Assessment comments |
As part of the "Laboratory practice" may include aspects such as attendance, attitude, etc., to help obtain the approved. In addition, it may also include in this methodology the assessment of the presentation in class of personal work. The "Mixed Test" can be divided into a multiple choice part and a few questions. It will be necessary to exceed 40% of the score in the multiple choice of the "Mixed Test" to pass. Students with recognition of part-time dedication and academic waiver of attendance exemption, second establishes the "NORMA QUE REGULA O RÉXIME DE DEDICACIÓN AO ESTUDO DOS ESTUDANTES DE GRAO NA UDC (Arts. 2.3; 3.b e 4.5) (29/5/212)", will be evaluated in the same way, allowing one more week of margin in the assignments. For the second opportunity, there will be no second deadline for assignments, and the evaluation will be done in a similar way to the first opportunity. The evaluation criteria of the early December call will be the same as those of the second opportunity of the previous year.
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Sources of information |
Basic
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Tom Wanyama (2016). A Practical Approach To Industrial Systems Integration. McMaster University, Hamilton
Perry Lea (2018). Internet of Things for Architects. Packet
(). Presentaciones del Profesor. |
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Complementary
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Recommendations |
Subjects that it is recommended to have taken before |
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Subjects that are recommended to be taken simultaneously |
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Subjects that continue the syllabus |
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Other comments |
A entrega dos traballos documentais que se realicen nesta materia realizarase a través de Moodle en formato dixital, sen necesidade de imprimilo |
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