Identifying Data 2022/23
Subject (*) IoT and Ambient Intelligence Technologies for Building Smart Cities Code 630541013
Study programme
Máster Universitario en Desafíos das Cidades
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
 First Optional 5
Language
Spanish
Galician
Portuguese
Teaching method Face-to-face
Prerequisites
Department Enxeñaría de Computadores
Coordinador
Fernández Caramés, Tiago Manuel
 E-mail
tiago.fernandez@udc.es
Lecturers
Fernández Caramés, Tiago Manuel
 E-mail
tiago.fernandez@udc.es
Web http://https://campusvirtual.udc.gal
General description O obxectivo desta asignatura é coñecer os conceptos fundamentais sobre a adquisición de datos sensoriais procedentes de sistemas IoT (Internet of Things, Internet das Cousas) para Cidades Intelixentes (Smart Cities), incluíndo as súas vantaxes e limitacións. Asemade, búscase comprender a potencia e impacto da implementación de servizos intelixentes baseados no uso da IoT nas Cidades Intelixentes e no uso de plataformas móbiles por parte dos cidadáns para a súa interacción con ditos servizos.
Adicionalmente, estudaranse as implicacións dos ambientes intelixentes na especificación, desenvolvemento e implementación de sistemas de información.

Study programme competencies
Code Study programme competences
A7 CE4.1 - Understand the ongoing digital transformation processes, becoming familiar with analytical and urban modeling tools to apply them in decision-making processes (reactive and preventive) in urban planning and management, based on analytical information.
A8 CE4.2 - Plan and recommend intelligent information gathering systems in order to monitor sustainability, quality of life and urban intelligence.
B2 CB7 - That students know how to apply their acquired knowledge and problem-solving skills 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 incomplete or limited information, including reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments.
B5 CB10 - That students possess the learning skills that will enable them to continue studying in a manner that will be largely self-directed or autonomous.
B8 CG3 - To acquire high-level knowledge, tools and resources to meet the research and professional expectations of students and society in the study of urban development, planning and management.
C2 CT2 - Use the basic tools of information and communication technologies (ICT) necessary for the exercise of their profession and for lifelong learning.
C5 CT5 - Value the importance of research, innovation and technological development in the socioeconomic and cultural advancement of society.

Learning aims
Learning outcomes Study programme competences
To know the fundamental concepts on the acquisition of sensory data from IoT (Internet of Things) systems for Smart Cities, including its advantages and limitations. AC8
 BC8
To understand the potential and impact of implementing smart services based on the use of IoT in Smart Cities and the use of mobile platforms by citizens for their interaction with such services. AC7
 BC2
BC5
 CC2
CC5
To understand the implications of intelligent environments in the specification, development and implementation of information systems. AC7
 BC3
 CC2
CC5

Contents
Topic Sub-topic
Introduction to Smart Cities Essential concepts.

Architectures.
Sensing Sensing and actuation for Smart Cities.

Data collection for Smart Cities: connection interfaces and data acquisition.
Communication networks Operation principles.

Types of communications technologies.

WAN, LPWAN, WLAN and WBAN technologies.
Ambient Intelligence Computation and intelligent interfaces.

Platforms for providing smart services.
Smart Citizen Internet of Everything.

Internet of Things.

Internet of People.
Applications Applications for Smart Cities.

Ambients for assisted living.

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
ICT practicals A7 B8 B2 B3 C2 20 0 20
Supervised projects A7 A8 B2 B3 0 60 60
Workbook B8 B3 B5 C5 0 4 4
Mixed objective/subjective test B8 B2 B3 1 25 26
Seminar B8 C5 10 0 10
 
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
ICT practicals ICT labs that make use of sensors/actuators and embedded systems.
Supervised projects Supervised project oriented towards the application of the acquired theoretical/practical knowledge to the field of Smart Cities.
Workbook Reading of teaching material, watching of videos and search of multimedia content.
Mixed objective/subjective test Written test that evaluates the theoretical and practical parts of the subject.
Seminar Delivery of the theoretical contents of the subject.

Personalized attention
Methodologies
ICT practicals
Supervised projects
Description
The professors will guide the students throughout the ICT practicals and during the execution of the supervised project.

Assessment
Methodologies Competencies Description Qualification
ICT practicals A7 B8 B2 B3 C2 Delivery of the ICT practical reports. 20
Supervised projects A7 A8 B2 B3 Delivery of a supervised project related to the field of Smart Cities. 40
Mixed objective/subjective test B8 B2 B3 Evaluation exam on the theoretical and practical contents delivered in the subject. 40
 
Assessment comments

FIRST CALL

The practical part of the subject will consist in developing practical examples about the content of the theory lessons. Its evaluation will be performed progressively, with clear deadlines. 

The objective test will be divided into two parts: one oriented towards evaluating the practical developments and a second one about the theoretical content.

Part-time students: attendance to the practical part will not be required and its delivery will follow a flexible schedule.

SECOND CALL AND EXTRA CALLS 

The students will have the opportunity to maintain the grades obtained during the ICT practicals and the supervised project. Such students will carry out a mixed test, establishing the final grade according to the same percentages applied for the first call. The rest of the students (including part-time students) will take a single mixed test (60% of the total grade) and will carry out a supervised project (40% of the total grade).

 

 

OTHER COMMENTS

 

No grades will be preserved from one course to another.

In case of detecting plagiarism, the student will be evaluated as failed (0) and the situation will be communicated to the master direction and to the corresponding authorities to take the appropriate measures.

Sources of information
Basic D. J. Cook, J. C. Augusto, V. R. Jakkula (2009). Ambient intelligence: Technologies, applications, and opportunities. Elsevier
Carol L. Stimmel (2015). Building smart cities: analytics, ICT, and design thinking. Taylor & Francis
Adrian McEwen (2013). Designing the Internet of Things. Wiley
Anthony M. Townsend (2014). Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia. W. W. Norton & Company
Samuel Greengard (2015). The Internet of Things. MIT Press

Complementary


Recommendations
Subjects that it is recommended to have taken before

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.