Identifying Data 2022/23
Subject (*) Internet of Things (IoT) Code 770G01055
Study programme
Grao en Enxeñaría Electrónica Industrial e Automática
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
 Fourth Optional 4.5
Language
Spanish
Galician
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 Esta asignatura permite que o alumno sexa capaz de:
-Comprender os conceptos básicos da IoT
-Coñecer os fundamentos das tecnoloxías da comunicación definidos para IoT
-Adquirir coñecementos sobre algunhas ferramentas, plataformas software e hardware de desenrrolo da IoT

Study programme competencies
Code Study programme competences
A3 Capacidade para realizar medicións, cálculos, valoracións, taxacións, peritaxes, estudos e informes.
A33 Coñecemento aplicado de informática industrial e comunicacións.
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.
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.

Learning aims
Learning outcomes Study programme competences
-Understand the basic concepts of the IoT A3
 B6
-Know the fundamentals of communication technologies defined for IoT A33
 C2
-To acquire knowledge about some IoT development tools, software platforms and hardware. A33
 B5
B8
 C2

Contents
Topic Sub-topic
Introduction to IoT - Basic concepts.
IoT communication technologies - LPWANs
- Based on cellular technology.
- WiFi, Bluethooth.
- Others.
Software platforms for IoT - Open source.
- Commercial software.
Systems-on-a-chip for IoT - Manufacturers.
- Characteristics.

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A33 B5 15 0 15
Laboratory practice A3 B5 B6 B8 C2 16.5 0 16.5
Supervised projects A3 A33 B5 B6 C2 0 74 74
Objective test B8 3.5 3.5 7
 
Personalized attention 0 0 0
 
(*)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 Oral exposition complemented with the use of audiovisual media and the execution of questions directed to the students, with the purpose of transmitting knowledge, facilitating learning and promoting debate.
Laboratory practice Methodology that allows students to learn effectively through practical activities, such as demonstrations, exercises, experiments and research.
Supervised projects Part will be carried out in the classroom and part autonomously by the student.
Objective test Duration 3.5 hours. It will be done individually and in person.

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 A3 B5 B6 B8 C2 Device programming that will be done in person. Students who have the necessary hardware can do them electronically. 30
Objective test B8 Made individually. 40
Supervised projects A3 A33 B5 B6 C2 Part will be carried out in the classroom and part autonomously by the student. 30
 
Assessment comments

In laboratory practices and in the objective test must be obtained al least 40% of the maximum poits in each part 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.



Subjects that it is recommended to have taken before
Computer Science/770G01002
Analog Electronics/770G01022
Digital Electronics/770G01023

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.