Degree in Computer Engineering Madrid

2023/2024.

35.

Internships in companies are a key element in your training. Gaining experience after what you have learned in your degree is the best way to enter the labor market. There are two types of internships, curricular (included in your curriculum) and extracurricular (those you can do voluntarily).

To carry out curricular internships in companies, you will need to have 50% of the credits approved and enroll the subject before starting your internship. These practices are monitored by the company and the internship teacher, as well as the realization of intermediate and final reports for evaluation.

If you want to improve your work experience before finishing your university education, you can do extracurricular internships. You can do them in any course but we remind you that the practices are a training complement to your studies; Therefore, the more knowledge you have acquired throughout the career, the more you will get out of the internship experience.

• Ana del Valle Corrales Paredes
  Systems Engineering from the Universidad de los Andes, Venezuela. She has a Master's Degree in Robotics and Automation from the Carlos III University of Madrid, Spain, where she also received, in 2012, the title of Doctor in Industrial Automation Engineering. Dr. Corrales has been an assistant professor in the Department of Systems Engineering and Automation at the Carlos III University of Madrid. He has worked on several research projects related to mobile and social robots and RFID technologies. Currently, she is Adjunct Professor in the Department of Science, Computing and Technology of the European University of Madrid and Coordinator of the Degree in Computer Engineering. She is a Principal Investigator in the Smart Interactive Systems Group, her research focuses on the area of social robotics, human-robot interaction and human-avatar interaction. He has a special interest in user interfaces, design thinking, creativity and photography.
• Carlos Moreno Martinez
  Degree in Computer Science, PhD in Applied Information Technologies, certificate in ITIL® v3 and in ISO20000, professor of the Department of "Science, Computing and Technology".
  Professional experience in companies in the software technology sector, national and international, until joining the European University of Madrid. He is an expert in IT management processes and portfolio.
  Collaborator of start-ups and newly created companies for the design and strategy of their portfolio of products and services.
  Founding member of the multidisciplinary research group SmartIS (Smart Interatvice Systems), at the School of Architecture, Engineering and Design (Universidad Europea, 2019), dedicated to the study of people's emotional response to technology, expanding the principles of HCI (human-computer interaction).
  His areas of interest are business innovation arising at the university, and professional competencies and skills for the digital economy.
• Pedro Jose Lara Bercial
  Accredited Professor and University Holder with interests in Educational Innovation and ICT applied to teaching and the third sector and automatic software tests.
  He teaches not only technical aspects such as software development and engineering, but also transversal skills for engineers.
  He is currently deputy director of the School of Architecture, Engineering and Design of the European University with responsibility for undergraduate degrees in the area of Science, Computing and Technology, but has held other positions such as Department Director or Vice Rector.
  During his time as Vice-Rector for Innovation and Educational Projects, he led a team of specialists in educational innovation with the mission of ensuring the correct development of the Academic Model of the European University, having as one of the fundamental axes the Teaching Innovation.
  Finally, as an ICT professional, he accumulated experience in the design, development and management of technological and software development projects.
• Nourdine Aliane Saadi
  Industrial Engineer in the intensification of Automation by the Polytechnic School of Algiers and PhD in Physical Sciences by the Complutense University. Since 1996 he has been teaching and researching at the UEM. Accredited by the ACAP in 2008 in all figures and since 2010 he has the position of full professor at the polytechnic school.
• Fernando Aparicio Galisteo
  Bachelor of Physical Sciences, MBA, MSc. (Advanced Artificial Intelligence), PhD. (Multidisciplinary Engineering). Since 2010, professor in the Department of Computer Systems, Automation and Communications of the UEM (DSIAC), and researcher in the Research Group on Intelligent Systems (GSI).
• Sergio Bemposta Rosende
  Computer Engineer, specializing in Robotics and Artificial Vision. Professor of the Department of Computer Science, Automation and Communications. Business analytics in technology in the Area of Vice-Rectorate for Quality and Technological Innovation.
• Guillermo Castilla Cebrián
  PhD in Civil Engineering from the Polytechnic University of Madrid. Master's Degree in Civil Engineering Systems, specialized in Transport and Territory. Doctoral specialization in statistical transport systems applied to conventional Spanish roads.
• Mª Cruz Gaya López
  Professor specializing in Artificial Intelligence. Degree in Computer Science from the University of Granada. PhD in Multidisciplinary Engineering from the UEM (2011), thesis entitled "Distributed Synthesis of Theories" in the field of distributed machine learning and evolutionary algorithms. Accredited doctor of Private University.
  20 years of teaching experience. Subjects taught in the field of databases, computer networks and programming.
  20 years of research experience in the field of data mining and the application of PBL in engineering degrees. More than 20 publications 4 of them impact articles. Participation in more than 10 research projects.
  10 years of management experience as Director of ICT area, academic director of the EU Business and Tech School with IBM, and, currently, deputy director for postgraduate studies of the STEAM school of the UEM.
• Daniel Gómez Vergel
  Degree in Physics from the University of Seville (2005) and PhD in Theoretical Physics from the Complutense University of Madrid (2009). His interest in different branches of physics has allowed him to hold research positions in areas of very diverse nature (atomic physics, characterization of materials, quantum gravity) in centers of recognized prestige during the last ten years.
• Enrique Puertas Sanz
  He is a Computer Engineer and PhD in Applied Information Technologies. Specialist in Artificial Intelligence and Big Data. Member of the "Intelligent Systems" research group, and co-director of the "Machine Learning Health-EU" group, focused on the development and application of Artificial Intelligence tools to clinical practice and health management. He is also the author of the "Practical Manual of Artificial Intelligence in Healthcare Environments".
  As a researcher he has participated in more than twenty national and European research projects and contracts, and is the author of more than thirty publications in international journals and conferences on topics related to Big Data, Data Mining, and Artificial Intelligence.
• Jose Manuel Lopez Lopez
  PhD in Physics from the University of Granada (2006) in the program of Science and Technology of Colloids and Interfaces. He began his career as a university professor as Assistant Professor LOU in the Department of Condensed Matter Physics of the Autonomous University of Madrid (2006-2008). He is currently Adjunct Professor at the European University of Madrid, where he has assumed the teaching of basic subjects belonging to several degrees of the School of Architecture, Engineering and Design. His initial research activity focused on various aspects of nanoscale physics: from the modeling and simulation of population dynamics in particulate systems, to the characterization of two-dimensional metal networks at low temperature. In 2018 he joined the "Data Science Lab" research group of the European University of Madrid, of which he is currently Principal Investigator. There he applies his experience in mathematical modeling to the prediction of opinion through collaborative filtering and to the dynamic representation of information.
• Juan Antonio Piñuela Izquierdo
  PhD in Telecommunications Engineering from the Polytechnic University of Madrid. Specialized in subjects of signal processing, communications and software development. Highlight seven publications and eight contributions to conferences in the field of signal processing and especially images. Professional experience in management, pre-sales and analysis-programming tasks in different projects and companies involved in the development of multiplatform multimedia solutions or data management and analysis.