Identifying Data 2022/23
Subject (*) Augmented Reality Process Simulation Code 770G01052
Study programme
Grao en Enxeñaría Electrónica Industrial e Automática
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
 Third Optional 6
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Enxeñaría Industrial
Coordinador
Rivas Rodriguez, Juan Manuel
 E-mail
m.rivas@udc.es
Lecturers
Rivas Rodriguez, Juan Manuel
 E-mail
m.rivas@udc.es
Web
General description Simulación por software de procesos industriais.

Study programme competencies
Code Study programme competences
A4 Capacidade de xestión da información, manexo e aplicación das especificacións técnicas e da lexislación necesarias no exercicio da profesión.
A5 Capacidade para analizar e valorar o impacto social e medioambiental das solucións técnicas actuando con ética, responsabilidade profesional e compromiso social, e buscando sempre a calidade e mellora continua.
A10 Coñecementos básicos sobre o uso e programación dos ordenadores, sistemas operativos, bases de datos e programas informáticos con aplicación en enxeñaría.
A30 Coñecer e ser capaz de modelar e simular sistemas.
B1 Capacidade de resolver problemas con iniciativa, toma de decisións, creatividade e razoamento crítico.
B2 Capacidade de comunicar e transmitir coñecementos, habilidades e destrezas no campo da enxeñaría industrial.
B4 Capacidade de traballar e aprender de forma autónoma e con iniciativa.
B5 Capacidade para empregar as técnicas, habilidades e ferramentas da enxeñaría necesarias para a práctica desta.
B6 Capacidade de usar adecuadamente os recursos de información e aplicar as tecnoloxías da información e as comunicacións na enxeñaría.
B8 CB1 - Que los estudiantes hayan demostrado poseer y comprender conocimientos en un área de estudio que parte de la base de la educación secundaria general, y se suele encontrar a un nivel que, si bien se apoya en libros de texto avanzados, incluye también algunos aspectos que implican conocimientos procedentes de la vanguardia de su campo de estudio.
B9 CB2 - Que los estudiantes sepan aplicar sus conocimientos a su trabajo o vocación de una forma profesional y posean las competencias que suelen demostrarse por medio de la elaboración y defensa de argumentos y la resolución de problemas dentro de su área de estudio.
B10 CB3 - Que los estudiantes tengan la capacidad de reunir e interpretar datos relevantes (normalmente dentro de su área de estudio) para emitir juicios que incluyan una reflexión sobre temas relevantes de índole social, científica o ética.
B11 CB4 - Que los estudiantes puedan transmitir información, ideas, problemas y soluciones a un público tanto especializado como no especializado.
B12 CB5 - Que los estudiantes hayan desarrollado aquellas habilidades de aprendizaje necesarias para emprender estudios posteriores con un alto grado de autonomía.
C1 Expresarse correctamente, tanto de forma oral coma escrita, nas linguas oficiais da comunidade autónoma.
C2 Utilizar as ferramentas básicas das tecnoloxías da información e as comunicacións (TIC) necesarias para o exercicio da súa profesión e para a aprendizaxe ao longo da súa vida.
C3 Desenvolverse para o exercicio dunha cidadanía aberta, culta, crítica, comprometida, democrática e solidaria, capaz de analizar a realidade, diagnosticar problemas, formular e implantar solucións baseadas no coñecemento e orientadas ao ben común.
C5 Valorar criticamente o coñecemento, a tecnoloxía e a información dispoñible para resolver os problemas cos que deben enfrontarse.
C6 Asumir como profesional e cidadán a importancia da aprendizaxe ao longo da vida.

Learning aims
Learning outcomes Study programme competences
Know the basics of 3D simulation, as well as the current techniques of virtual reality and augmented reality and the necessary devices in its industrial implementation. A4
A5
A10
A30
 B1
B2
B4
B5
B6
B8
B9
B10
B11
B12
 C1
C2
C3
C5
C6

Contents
Topic Sub-topic
Simulation in manufacturing 4.0 Introduction.
General aspects of Virtual Reality and Augmented Reality (elements, types, levels) - Fields of application.
- Study of cases.
Architecture (Devices and peripherals) - Input devices and sensors.
- Proccesing units.
- Displays.
Programs and applications - Configuration of devices, servers and networks.
- Apps programming.

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Laboratory practice A4 A5 A10 A30 B1 B2 B4 B6 B8 B9 B10 B11 B12 C1 C2 C3 C5 C6 20 0 20
Supervised projects A4 A5 A30 B1 B2 B4 B5 B6 B8 B9 B10 B11 B12 C1 C2 C3 C5 C6 0 108 108
Guest lecture / keynote speech B1 B2 B8 B10 B11 B12 C5 17 0 17
 
Personalized attention 5 0 5
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Laboratory practice Exercises in the laboratory for the knowledge of the computer tools so that the student can carry out the supervised works autonomously.
Supervised projects In them the student will demonstrate his ability to solve problems and mastery of the tools and techniques learned through the lecture session and practices. The qualification will be made mostly based on these works.
Guest lecture / keynote speech Class directed by the teacher where students can participate and be asked.

Personalized attention
Methodologies
Laboratory practice
Supervised projects
Description
It will be carried out in the laboratory practices and through the tutorials in the supervised projects.

Assessment
Methodologies Competencies Description Qualification
Laboratory practice A4 A5 A10 A30 B1 B2 B4 B6 B8 B9 B10 B11 B12 C1 C2 C3 C5 C6 The laboratory practices are compulsory attendance and 40% of the maximum grade must be obtained to be able to pass the subject. 50
Supervised projects A4 A5 A30 B1 B2 B4 B5 B6 B8 B9 B10 B11 B12 C1 C2 C3 C5 C6 The works will be done individually. They will be the basis for the qualification of the subject. 50
 
Assessment comments

In laboratory practices and supervised work, it will be necessary to
obtain 40% of the maximum grade in order to pass the subject.

Students who take part in the non-compulsory
attendance and/or partial enrollment may agree with the teacher the possibility of doing alternative activities to the face-to-face ones.

The criteria for passing the subject on the second
opportunity are the same as for passing on the first.

Sources of information
Basic Schneider Electric (2020). EcoStruxure Augmented Operator Advisor Administrator. Schneider Electric
Schneider Electric (2020). EcoStruxure Augmented Operator Advisor App. Schneider Electric
Schneider Electric (2020). EcoStruxure Augmented Operator Advisor Builder. Schneider Electric
MathWorks (2021). Introducción a Simulink. https://es.mathworks.com/learn/tutorials/simulink-onramp.html

Complementary


Recommendations
Subjects that it is recommended to have taken before
Computer Science/770G01002

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.