OVERVIEW

Enterprise strategic choices are heavily influenced by “changes” modifying the operating context. One of the most important is the “digitalization”: currently every business is a digital one. Some digital technologies, listed in the aim, will have a special impact on future industrial strategies, allowing the development of smart cities, manufacturing, factory and agriculture. The knowledge, use and application of these technologies will be essential to make decisions in strategic environments.

AIMS AND CONTENT

LEARNING OUTCOMES

The course is aimed at providing the know-how about advanced ICT technology that has or can have a deep impact on enterprise strategic choices, such as IoT – Internet of Things, 5G, Satellites, Automated and Connected Mobility, Cloud Computing, Big Data Analytics, Artificial Intelligence and Machine Learning, and Cybersecurity.

AIMS AND LEARNING OUTCOMES

The lectures are aimed at providing theoretical and practical knowledge about advanced Information and Communication Technologies which will influence strategic choices in the next future allowing the development of new paradigms and services such as smart cities, manufacturing, factory and agriculture.

The lectures will provide a basic know-how about networking technologies such as IP and TCP/UDP architectures and will develop this information to explain concepts such as Cloud Computing and Internet of Things; 5G and Satellite Technology, Automated and Connected Mobility; Big Data Analytics, Artificial Intelligence and Machine Learning, and Cybersecurity.

TEACHING METHODS

Lectures integrated by tutorials

SYLLABUS/CONTENT

Basic networking technologies: Structure of a telecommunications network. Definition of the structure at functional layers, definition of protocol, communication between remote systems. Internet structure. Ethernet. IP, TCP/UDP. 

5G and Satellite Technologies: basic and applications.

Cloud Computing and Internet of Things (IoT): The concept of cloud computing, IoT definition, IoT devices, IoT protocols: commercial and standardized solutions, IoT architectures.

Automated and Connected Mobility, Big Data Analytics, Artificial Intelligence and Machine Learning: Overview of data analytics, feature extraction and machine learning; Rulex extraction method in machine learning; machine learning for the control of networks; machine learning for cybersecurity; machine learning for the control of vehicular networks; simulation and data analytics of Cyber-Physical Systems, such as automobiles, cars, and medical devices: definition of physical part and software parts; analysis of systems and impacts in terms of both performance and safety of humans and environment.

Cyber-attacks strategies: Introduction to cyber-attacks; relevant types of threats; underground network and introduction to darknets;  cyber-physical attacks; the rationale behind a cyber-attack; who is the attacker and his aims; how a cyber-attack can be executed, comparison with real life threats (+ implicit personal organization strategies). Vulnerability assessment and penetration testing. Advanced cyber-attacks. 

IoT security: Introduction on IoT security aspects and protocols; Vulnerabilities on ZigBee.

RECOMMENDED READING/BIBLIOGRAPHY

Notes on specific topics issued by the lecturer.

Extracts of international regulatory and scientific documentation provided by the lecturer.

TEACHERS AND EXAM BOARD

Exam Board

MARIO MARCHESE (President)

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy