Internet of Things

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Credits
3
Types
Elective
Requirements
This subject has not requirements, but it has got previous capacities
Department
AC
The course discusses technologies of "Internet of Things" i and application examples: Low power communication technologies (802.15 RFID, BlueTooth Low Energy, RFID, NFC, LoraWAN), communication standards (6loWPAN, RPL, CoAP, MQTT), sensors and devices, data management and processing, cloud platforms, data processing algorithms and applications to industry, health, environment, precission agriculture, etc

Teachers

Person in charge

  • Jorge García Vidal ( )

Others

  • Jose Maria Barceló Ordinas ( )

Weekly hours

Theory
4
Problems
0
Laboratory
0
Guided learning
0
Autonomous learning
0

Competences

Technical Competences of each Specialization

Especifics

  • CTE1 - Capability to model, design, define the architecture, implement, manage, operate, administrate and maintain applications, networks, systems, services and computer contents.
  • CTE2 - Capability to understand and know how to apply the operation and organization of Internet, technologies and protocols for next generation networks, component models, middleware and services.
  • CTE8 - Capability to design and develop systems, applications and services in embedded and ubiquitous systems .

Generic Technical Competences

Generic

  • CG8 - Capability to apply the acquired knowledge and to solve problems in new or unfamiliar environments inside broad and multidisciplinary contexts, being able to integrate this knowledge.

Transversal Competences

Sustainability and social commitment

  • CTR2 - Capability to know and understand the complexity of the typical economic and social phenomena of the welfare society. Capacity for being able to analyze and assess the social and environmental impact.

Objectives

  1. To understand the Internet of Things from a technological point of view, identifying its limitations and opportunitiesd
    Related competences: CTR2, CTE1, CTE2, CTE8,
  2. Coneixer les aplicacions del Internet of Tings en l'àmbit de les Smartcities i la agricultura de precissió per tal de resoldre problemes socials com ara la sostenibilitat, consum d'energia, emissions de gassos d'efecte hivernàcle, envelliment de la població,etc.
    Related competences: CTE8, CG8, CTR2,

Contents

  1. Introduction
    IoT concept, main technologies and applications. Wireless communications
  2. Low Power communication technologies
    802.15, BlueTooth, RFID, NFC, LoraWAN
  3. Standards and communication protocols
    6loWPAN, RPL, CoAP, Routing en WSN
  4. Data Analysis. Security and Privacy.
    Middleware, cloud systems. Algorithms. Privacy i security
  5. Sensors and devices
    Sensors, Low power devices. Operating systems
  6. Applications
    Application examples in industry, health, environment, home, etc

Activities

Activity Evaluation act


T1: Introduction

Course overview. Main concepts related with IoT
Objectives: 1
Contents:
Theory
3h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
0h

T2: Low power communication technologies

Low power communication systems. Standards: 802.15.4, Bluetooth, RFID, NFC, LoraWAN.
Objectives: 1
Contents:
Theory
3h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
6h

T3: Standards and communication protocols

Main standards and communication protocols: 6LoWPAN, RPL, CoAP. MQTT, Routing in WSN.
Objectives: 1
Contents:
Theory
3h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
6h

T4: Sensors and devices

Sensors. Low power devices
Objectives: 1 2
Contents:
Theory
3h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
6h

T5: Data analysis and management. Security and privacy.

Middleware. Cloud platforms. Inertial sensors data processing. Regression techniques. Security and privacy.
Objectives: 1 2
Contents:
Theory
6h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
12h

T6: Applications

Applicacions to industry, health, environment, precission agriculture, etc
Objectives: 2
Theory
6h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
12h

Project presentation

Students will develop a research project in a system related with IoT
Objectives: 1 2
Contents:
Theory
3h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
15h

Teaching methodology

Theory classes.

Evaluation methodology

Ef: Final exam
P: Project

Nota= 0,75*Ef+0,25*P

Bibliography

Basic:

Previous capacities

Protocolos de Internet

Addendum

Contents

No hay cambios

Teaching methodology

Las clases se impartirán de forma no presencial salvo en el caso de que la situación sanitaria permitiera las clases presenciales

Evaluation methodology

No hay cambios

Contingency plan

Se impartirían todas las clases de forma no presencial