It is an introductory course to the Master, so all those admitted (according to the Master's regulations) may take it.

The objective of the course is for the student to be able to identify the models and reference structures of the Connected Industry 4.0, its component parts and interconnection, and to identify and know the technologies involved in the Connected Industry 4.0. In the course, the definitions of IC4.0, the models and structures of IC4.0, its fundamental objectives, its main structures and organizational models and main applications and examples will be studied, including the aspects of Sustainable production in IC4.0. After the course, the student will be able to identify the models and reference structures of the Connected Industry 4.0, its component parts and interconnection, and to identify and know the technologies involved in the Connected Industry 4.0.

The contents to be developed are: 1.- Definitions of IC4.0 1.1.- Introduction 1.2.- Industrial Revolutions 1.3.- Digitalization 1.4.- Key Technologies 2.- Fundamental objectives of IC4.0 2.1.- Previous systems 2.2.- Industry 4.0 history 2.3.- Industry 4.0 concept and objectives 2.4.- Sustainable production. 3.- Main structures of IC4.0 3.1.- RAMI architecture 3.2.- IIRA architecture 4.- Organizational models of IC4.0 4.1.- Cyber-physical systems 4.2.- Smart factory 4.3.- Additive manufacturing 4.4.- Digital twin 4.5.- Industrial VR 5.- Main Models an applications of IC4.0 5.1.- Artificial Intelligence and Machine Learning 5.2.-Big Data and Data Analytics

The training activities carried out in the course are: AF1: Lectures/Theoretical Classes, where the content and examples will be taught, and exercises will be performed. AF4: Laboratory Practices. A demonstration of existing industrial facilities at the University will be carried out. AF5: Tutorials AF6: Group Work. A group project is conducted in which students are asked to analyze specific cases within companies from different sectors. AF7: Individual Student Work. Each student will present an individual presentation of the case developed in the group work. AF8: Final Exam. The teaching methodologies that will be used are: MD1: Lectures will be given, with lectures in class by the professor with the support of computer and audiovisual media, in which the main concepts of the subject are developed and the bibliography is provided to complement the learning of the students, aimed at the acquisition of theoretical knowledge. MD3: Theoretical-practical classes and laboratory practices will be used for the acquisition of practical skills related to the subject program. Group work will be carried out by the students in which a practical case will be developed on production and service technologies and visits will be made to relevant centers of interest. MD4: Presentation and discussion in class, under the moderation of the professor, of topics related to the content of the subject, as well as practical cases. MD5: Students will carry out group work in which a practical case will be developed on the models and structures of Connected Industry 4.0 implemented in different companies assigned by the professor, in which a presentation will be made.