R1. Knowledge and understanding: Have basic knowledge and understanding of scientific and technological foundations in Computer Science and Engineering, as well as specific knowledge from Computer Science, Computer Engineering, and Information Systems.
R2. Analysis in Engineering: Be able to identify problems in Computer Science and Engineering, to recognise specifications, to establish different solution methods and select the most appropriate one, bearing in mind applicable social, health, environmental, and commercial limitations.
R4. Research and Innovation: Be able to use appropriate methods to conduct research and make innovative contributions in the domain of Computer Science and Engineering.
R5. Applications in Engineering: Graduate students will be able to apply their knowledge and understanding to solve problems, lead research and create designs or processes in the domain of Computer Science and Engineering according to criteria of cost, quality, security, efficiency, respect towards the environment, and ethical implications. These abilities include knowledge, use, and limitations of computer systems, process engineering, computer architecture, computing models, equipment, practical work, technical bibliography, and information sources.
CECC1. Ability to have deep knowledge on fundamental principles and computational models, and to apply them to interpret, select, assess, model, and create new concepts, theories, uses, and technological solutions related to Computer Science and Engineering.
CECC3. Capacity to design and assess interactive systems and present complex information, as well as apply them to solve human-computer interaction design problems.
Basic and general:
CG2. To be able to generate new ideas (creativity) and anticipate new situations, as well as to get used to working within a team and engaging with others, while at the same time being able to work autonomously.