Educational guide 2023_24
Escola de Enxeñaría Industrial
Máster Universitario en Industria 4.0
 Subjects
  Advanced calculation tools for engineering
Subject Guide
IDENTIFYING DATA 2023_24
Subject Advanced calculation tools for engineering Code V04M183V01112
Study programme
Máster Universitario en Industria 4.0
Descriptors Total Cr. Choose Year Quadmester
3 Optional 1st 2nd
Teaching language
Spanish
Galician
English
Prerequisites
Coordinator
Peláez Lourido, Gustavo Carlos
E-mail gupelaez@uvigo.gal
Lecturers
Karkkainen , Tatja
Peláez Lourido, Gustavo Carlos
Vidal Vázquez, Ricardo
Web http://masterindustria40.webs7.uvigo.es/wordpress/
General description More than one million jobs in STEM (Science, Technology, Engineering and Mathematics) profiles will be created in the next four years in Spain, according to estimates by the Spanish Association for Digitalization, DigitalES. The last letter of the acronym is where this subject is headed. Mathematics is a catalyst discipline for the transition to the Fourth Industrial Revolution. They were an essential tool in many fields of the past, are on the present and will be in the future. Maths, in fact, command in some way the ship of the new digital age. And the fact is that, although the main work of mathematics is to make people think, its applications are fundamental in the world of the real and palpable. Therefore, it is important to highlight the importance and role of this discipline in the new era of digitalisation.

In this subject we have focused on two main areas of action:
- On the one hand, the application of Differential Equations in Engineering, implementation of numerical integration algorithms in mathematical software environments. The application can be made multiple problems, among them those related to manufacturing processes.
- On the other hand, the second major application that will study mathematics within the scope of Industry 4.0 is called 'topological data analysis' and deals with how to analyze large data, trying to understand what information can be extracted from a site and the different ways in which the data is shaped. This is a field where Big Data and Machine Learning represent recent fields of great actuality and demand of professionals for the jobs of the future. In this section these techniques will be applied to problems of Industrial Organization such as Resource Allocation or routes.
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