CG1: To have knowledge that provide a basis or opportunity for originality in developing and / or applying ideas, often within a research context, knowing how to translate industrial needs in terms of R & D in the field of mathematics Industrial.
CG4: To have the ability to communicate the findings to specialist and non-specialist audiences in a clear and unambiguous way.
CG5: To have the appropriate learning skills to enable them to continue studying in a way that will be largely self-directed or autonomous, and also to be able to successfully undertake doctoral studies.
CE2: To model specific ingredients and make appropriate simplifications in the model to facilitate their numerical treatment, maintaining the degree of accuracy, according to previous requirements.
CE3: To determine if a model of a process is well made and well mathematically formulated from a physical standpoint.
CE5: To be able to validate and interpret the results, comparing them with visualizations, experimental measurements and functional requirements of the physical engineering system.
CM1: To be able to extract, using different analytical techniques, both qualitative and quantitative models.
CM2: To know how to model elements and complex systems leading to well-posed formulated problems.