Numerical Methods in Engineering

This master has a program in Computational Mechanics that implies double degrees with the universities of Stuttgart, Nantes, Swansea or Padova. This program is designed for students who wish to excel in the field of computational mechanics. It will provide students with the best training for their future professional career, as well as prepare them for research with the best prior knowledge to do a PhD in the most important centers around the world..

Basic competencies

• CB6 Possessing and understanding knowledge that provides the basis or opportunity to be original in the development and/or application of ideas, often in a research context.
• CB7 For students to know how to apply the knowledge acquired and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study.
• CB8 For students to be able to integrate knowledge and face the complexity of formulating judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments.
• CB9 For students to know how to communicate their conclusions (and the knowledge and ultimate reasons that support them) to specialized and non-specialized audiences in a clear and unambiguous way.
• CB10 For students to possess the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.

General competencies

• CG1 Knowledge of numerical methods and solution mechanisms. Complete and consolidate the basic student training in solving problems using numerical and computational methods, reinforcing their knowledge of the basics, as well as of the specific applications.
• CG2 Knowledge of the theories and applications of numerical methods. Ability to acquire advanced knowledge and understanding of the theories and applications of numerical methods in solving engineering problems.
• CG3 Experience in solving problems using numerical methods. Ability to acquire experience and criteria in the application of numerical methods through the use of calculation programs, pre and post graphic processors, programming languages and scientific calculation libraries.
• CG4 Consolidation of the application criteria of numerical methods. Complete and consolidate the knowledge, criteria and critical spirit to propose conventional solutions and as well as to analyze the results in characteristic numerical modeling problems.
• CG5 Knowledge of social networks in the field of numerical methods. Knowing and acquiring a critical awareness about the avant-garde of the Spanish, European and international community of numerical methods in engineering.
• CG6 Numerical modeling of real problems. In depth ability to solve real engineering problems through numerical modeling by identifying the underlying mathematical model, the most appropriate calculation method and the critical interpretation of the results.
• CG7 Independence to question. Acquire the ability to autonomously use their knowledge and understanding of computational engineering to design solutions to new or unfamiliar problems, incorporating theoretical and practical knowledge and know-how, if necessary, from other disciplines of engineering and basic sciences, and designing new original resolution methods appropriate to the set of final objectives.
• CG8 Knowledge of the scope of numerical methods. Understand the applicability and limitations of numerical modeling and existing calculation technologies.
• CG9 Independence to research. Acquire experience and autonomy in the search, analysis, compilation and synthesis of cutting-edge scientific and technical information.

Cross-disciplinary competencies

• CT1 CAPACITY FOR ENTREPRENEURSHIP & INNOVATION. Knowing and understanding the mechanisms on which scientific research is based, as well as the mechanisms and instruments for transferring results between the different socio-economic agents involved in R+D+I processes, acquiring thus the ability to lead a work team made up of various professional profiles and disciplines.
• CT2 SUSTAINABILITY & SOCIAL COMMITMENT. Being able to integrate knowledge and face the complexity of formulating judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and choices.
• CT3 THIRD LANGUAGE. Having English as a third language, at an appropriate level in oral and written form, so as to being able to work and communicate effectively in international and intercultural environments.
• CT4 EFFECTIVE ORAL AND WRITTEN COMMUNICATION. Improving communication skills: oral presentations, preparation of professional and scientific reports in a clear and concise way to communicate their conclusions, the knowledge and ultimate reasons that support it, to specialized and non-specialized audiences in a clear and unambiguous way.
• CT5 TEAM WORK. Being able to work as a member of an interdisciplinary team, not only as a member, but also to perform management tasks in order to contribute to developing projects with pragmatism and a sense of responsibility, assuming commitments considering the resources and time available. Obtaining a good knowledge of the community of numerical methods in engineering at a national and international level.
• CT6 SOLVENT USE OF INFORMATION RESOURCES. Managing the acquisition, structuring, analysis and visualization of data and bibliographic and computer information of a scientific and technical nature and critically assess the results of this management.
• CT7 SELF-EMPLOYED LEARNING. Detecting gaps in one's own knowledge and overcome them through critical reflection and the choice of the best action to expand this knowledge and motivate oneself to continue training throughout their professional life.

Specific competencies

• CE1 Knowledge of practical numerical modeling. Ability to acquire knowledge in advanced numerical modeling applied to different areas of engineering such as: Civil and environmental engineering, Mechanical and aerospace engineering, Nano-engineering and bioengineering, Naval and marine engineering, etc.
• CE2 Knowledge of the state of the art in numerical algorithms. Ability to catch up on the latest numerical technologies to solve engineering and applied science problems.
• CE3 Knowledge of modeling materials. Ability to acquire knowledge related to modern physical models in material science (advanced constitutive models) in solid and fluid mechanics.
• CE4 Knowledge of validation and verification criteria. Management capacity of numerical simulation quality control techniques (validation and verification).
• CE5 Experience in numerical simulations. Acquisition of fluency in modern numerical simulation tools and their application to multidisciplinary engineering and applied science problems.
• CE6 Interpretation of numerical models. Understanding the applicability and limitations of different computer calculation techniques.
• CE7 Experience in programming calculation methods. Ability to acquire training in the development and use of existing calculation programs, as well as pre and post processors, knowledge of programming languages and standard calculation libraries.

Students enrolled at UPC for the Master's Degree in Numerical Methods in Engineering can access the following information:

The Master's Thesis is an original exercise to be done individually and presented and defended before a university panel consisting in a project in the sphere of the specific civil engineering technologies synthesising and integrating the competences acquired on the course.