| Code |
Description |
| A1 |
Students will have shown they have sufficient knowledge and understanding of an area of study, starting after completion of general secondary education, and normally reaching a level of proficiency that, being mostly based on advanced textbooks, will also include familiarity with some cutting-edge developments within the relevant field of study. |
| A2 |
Students will be able to apply their knowledge and skills in their professional practice or vocation and they will show they have the required expertise through the construction and discussion of arguments and the resolution of problems within the relevant area of study. |
| A3 |
Students will be able to gather and interpret relevant data (normally within their field of study) that will allow them to have a reflection-based considered opinion on important issues of social, scientific and ethical nature. |
| B8 |
Knowledge of the essential subjects and technologies that will allow students to learn and develop new methods and technologies, as well as those that will endow them with versatility to adapt to new situations. |
| B9 |
Ability to solve problems by taking the initiative, making decisions and acting independently and creatively. Ability to communicate the knowledge contents, skills and abilities of the Computer Science Engineer profession. |
| C1 |
Ability to solve mathematical problems that might arise in engineering. Ability to apply knowledge of: linear algebra; integral and differential calculus; numerical methods; numerical algorithms; statistics and optimization. |
| C3 |
Ability to understand and master the essential concepts of discrete mathematics, mathematical logic, algorithmic mathematics and computational complexity, and their application to the resolution of engineering problems. |
| C4 |
Essential knowledge of use and programming of computers, operating systems, data bases and computer programs with application in engineering. |
| C12 |
Knowledge and application of basic algorithmic procedures of computer technologies to design solutions to problems, analyzing the appropriacy and complexity of the proposed algorithms. |
| D4 |
Analysis, synthesis and evaluation capacity |
| D5 |
Organizational and planning skills |
| D6 |
Ability to abstract: ability to create and use models that reflect real situations |
| D7 |
Ability to search, relate and structure information from various sources and to integrate ideas and knowledge. |
| D9 |
Ability to quickly integrate and work efficiently in unidisciplinary teams and to collaborate in a multidisciplinary environment |
| D11 |
Critical thinking |
