The digital transformation of mechatronic systems such as the management of large volumes of data, artificial intelligence applied to mechatronics or autonomous learning, among others, are aspects that define the mechatronic system in a new dimension: its digital representation or transformation. A current mechatronic system, equipped with a great heterogeneity of elements and automation technologies, is a large and continuous source of data. Managing the collection and harmonization of these data, obtaining useful information from them and transferring this information to the end user can be differential to obtain a competitive advantage.

This postgraduate course in Elements for Digitization in Industry deals precisely with the mastery of digital technologies necessary to overcome specialized knowledge and versatile skills in the industrial field, all of which are essential in the era of digital transformation.

Objectiu de l'acte

• Integrate mechanical, electrical and information technologies in the automated and regulated design of industrial systems.
• Study how to acquire process data.
• Understand data science techniques, such as big data or machine learning applied to the industrial sector.
• Introduce ICT resources and tools that allow the compilation, processing, storage and transmission of data.
• To know low level industrial programming languages and devices such as DSP oriented to real time control.

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