CB6, Acquire and understand concepts that provide the foundation or opportunity to be original on the development and/or application of ideas, often in a research context.
CB7, Students will be able to apply the acquired knowledge and skills on problem resolution in new or hardly known environments in the context of wide (or multidisciplinary) contexts related to the area under study
CB8, Students will be able to integrate knowledge to face the complexity of making assessments based on limited or incomplete information, but considering the ethical and social responsibilities associated to the application of their knowledge and assessments.
CB9, Students will be able to communicate their conclusions and the knowledge and reasons that support them to specialized and the wide public in a clear and unambiguous manner
CB10, Students will acquire learning skills that allow them to continue studying in an autonomous and self-paced way.
CG1, Understand the challenges associated to Materials Science and Engineering in an industrial and research environment
CG3, Develop team working skills in a research environment
CG6, Acquire the required skills to defend a research project and its results.
CG7, Develop creative strategies for decision making to solve problems associated with materials, their design, processing and behaviour.
CE2, Be able to design new ways of optimizing the properties of different materials for specific applications, through the modification of their structure and composition.
CE9, Consolidate specific research skills in Materials Science and Engineering
CE10 Acquire knowledge and useful scientific and technical skills to solve specific problems associated with the work in a research laboratory in the field of material development and characterization
After the course, the students should have learned:
- To identify the most important simulation techniques and their ability to solve problems in Materials Science and Engineering
- The foundations of atomistic simulation techniques
- The foundations of finite element modelling.