Being able to create new algorithms and statistical, numerical and graphical computing models, new artificial intelligence paradigms and new techniques to express information, analysing their computing complexity, demonstrating their validity and achieving technological developments.
Being able to creatively apply knowledge on computing and intelligent systems in the various fields of science and engineering: computing, industry, biology, medicine, economics and others.
Being able to express knowledge in oral presentations and when writing scientific texts, understanding the importance of English in research and being able to use that language comfortably, having interpersonal skills and understanding the importance of teaching to promote education.
Knowing how to apply the principles and advances in statistical, numerical and graphical computing, in systems based on artificial intelligence, and in representing the information, to develop innovative IT systems, services and applications, defining, evaluating and selecting suitable software and hardware platforms.
Knowing how to organise and plan research work, and being able to work self-sufficiently and show initiative, as well as being able to work as part of a group and carry out interdisciplinary projects.
The ability to efficiently produce the technical documentation associated with the research and development work carried out.
The ability to understand and apply ethical responsibility, legislation and professional ethics relating to the profession of Computing Engineer.
The ability to work as part of an interdisciplinary team.
Understanding the theoretical principles and advanced foundations of statistical, numerical and graphical computing, of the systems based on artificial intelligence, and of the representation of information.
