Engineering and maintenance management of power stations
The course ‘Engineering and Maintenance Management of Power Stations’ is aimed at professionals and graduates in the energy sector who wish to update their knowledge of the maintenance of electrical infrastructure. It focuses on predictive techniques, the maintenance of mechanical and electrical equipment, and life-cycle management, providing key tools to optimise the operational efficiency and reliability of facilities.
Digital business
This Digital Business course is designed for professionals and graduates in the sector who are interested in understanding the context of the digital economy, exploring the use of smart contracts and familiarising themselves with the technology applied in this field. Furthermore, it focuses on the impact on the construction and property sectors, providing tools to adapt to changes in the market.
Care worker for care homes
This University Specialisation Course in Care for the Elderly in Care Homes is aimed at those working in the healthcare sector, particularly in care homes and as care workers for the elderly, who wish to receive specialised training and/or obtain a qualification accredited by the Miguel de Cervantes European University.
Workplace Ergonomics and Quality of Life
Aimed specifically at healthcare professionals, psychologists and occupational health and safety specialists.This is a university-awarded qualification which does not qualify the holder to practise professionally, in accordance with Article 37.7 of Royal Decree 822/2021 of 28 September. Its purpose is to broaden and update knowledge, competences and training or professional skills, thereby facilitating better integration into the labour market.
Electromechanical equipment and installations in desalination plants
The course ‘Electromechanical Equipment and Installations in Desalination Plants’ is aimed at professionals and graduates in the sector who wish to expand their knowledge of desalination. It is ideal for those interested in reverse osmosis processes, water abstraction and treatment, as well as the management of reagents and pumping systems. This supplementary training provides a solid foundation in current techniques and technologies, facilitating professional development in a constantly evolving field.
Physical and Technological Principles of Power Stations
The course ‘Physical and Technological Fundamentals of Power Stations’ is aimed at professionals and graduates in the energy sector who wish to broaden their knowledge in key areas such as electricity, thermodynamics and fluid mechanics. It is also ideal for those interested in understanding how mechanical and electrical equipment works, as well as the basic principles of control systems in power stations.
Statistical Analysis
The Statistical Analysis course is aimed at professionals and qualified individuals in the sector who wish to broaden their knowledge of statistics. It is designed for those seeking to understand key concepts such as population and variables, as well as to apply descriptive and inferential techniques. Participants will learn how to interpret data and use statistics.
The Accounting Cycle: Key Aspects of Financial Management
The training course ‘The Accounting Cycle: Key Aspects of Financial Management’ is aimed at professionals and graduates who wish to gain a deeper understanding of the fundamentals of accounting. It is ideal for those looking to update their knowledge of the accounting cycle, accounting principles and the trial balance.
Digital terrain models
This course is aimed at professionals and graduates in the geospatial sector who wish to expand their knowledge of LiDAR data management using SAGA GIS and the extraction of information from Digital Elevation Models using ILWIS. It is ideal for those interested in using digital tools to improve their skills in land analysis and management.
Big Data Architectures: Hadoop and Spark
The ‘Big Data Architectures: Hadoop and Spark’ course is designed for professionals and graduates in the technology sector who wish to expand their knowledge of Big Data. It is ideal for those interested in exploring the Hadoop 3.x ecosystem, programming in Scala, and machine learning techniques using RDDs, dataframes and datasets, thereby strengthening their skills in the analysis and processing of big data.