The course aims to illustrate the basic principles, techniques, tools and devices to create systems for the Internet of Things.

01. Fundamentals of systems for the internet of things:

01.01 Definition of systems for the internet of things (IoT systems)

01.02 History of the term and some of the related technologies

01.03 Use cases

02. Architecture of a system and its fundamental elements:

02.01 Sensors and actuators

02.02 Energy sources and their management

03. Non-IP based communication technologies:

03.01 Basic elements of radio frequency systems

03.02 Communication technologies not based on IP protocol

04. IP-based communication technologies:

04.01 Communication based on IP protocol

04.02 Long range communication systems and protocols

05. "Edge" and "cloud" architecture

05.01 Meaning and examples of "edge computing"

05.02 Protocols for data exchange from edge to cloud

05.03 The MQTT protocol

06. Automatic learning

06.01 History and meaning of the term "Machine learning"

06.02 Machine learning and security

06.03 Examples of attacks on IoT systems

There are no mandatory prerequisites but it is strongly recommended to take part in the INTERNET OF THINGS SYSTEMS course after having taken the COMPUTER NETWORK exam or at least after having understood the fundamental concepts.

Knowledge and understanding:

At the end of the course the student will have acquired the fundamental concepts for the realization of simple automatic systems, remotely controlled through a public or private network (internet of things).

Ability to apply knowledge and understanding:

At the end of the course the student will be able to understand the operation of remote controlled automation systems that form the basis for the creation of systems for the internet of things.

Autonomy of judgment:

At the end of the course the student will be able to apply the analysis and design methods related to systems for the Internet of Things and / or diagnose malfunctions.

Communication skills:

At the end of the course the student will have acquired the ability to express the fundamental concepts of remote controlled automatic systems with appropriate language and correct terms.

Learning ability:

At the end of the course the student will have developed learning skills in the fields of automation and remote control through networks based on various types of protocols and services

The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it

Teaching

Theoretical lectures with some practical examples

Possible assignment of in-depth papers on focal themes of the syllabus.

Attendance

Attendance of the course is not compulsory but strongly recommended.

Course books

Perry Lea, "IoT and Edge Computing for Architects" - Second Edition (March 2020)

Assessment

Practical test: report on a topic or project agreed with the teacher to be delivered without fail within 5 working days prior to the exam date chosen by the candidate.

Oral part: brief illustration of the report object of the practical test. Questions on the syllabus to verify knowledge of the topics covered, illustrated by the candidate with the use of specific technical language, and the ability to structure simple systems for the internet of things.

The candidate will have access to the oral test only if the practical test is assessed sufficient and in particular if it possesses the following requirements:

• the topic or project, the subject of the report, is developed in depth and is not just the simple reworking of the teaching material or what has been explained by the teacher during the lessons.
• the topic or project must first be correctly contextualized and then described in a structured manner
• possible use cases are described.

Disabilità e DSA

Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.

A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.

Teaching

Study of the teaching material prepared by the teacher in addition to the recommended texts (slides, exercises, bibliography).

The teacher's communications on the teaching module are available on the Moodle platform ›blended.uniurb.it