Educational guide 2021_22
Escola de Enxeñaría Industrial
M.U. Industry 4.0

Type CB Code Basic Competences
  CB1 Possess and understand knowledge that provides a basis or opportunity to be original in the development and/or application of ideas, often in a research context
  CB2 Students should be able to apply their acquired knowledge and problem-solving skills in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study.
  CB3 Students are able to integrate knowledge and deal with the complexity of making judgements based on information which, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgements.
  CB4 Students should be able to communicate their findings - and the ultimate knowledge and reasons behind them - to specialist and non-specialist audiences in a clear and unambiguous manner
  CB5 Students have got the learning skills that will enable them to continue studying in a largely self-directed or autonomous manner
Type CG Code General Competences
  CG1 Organization and planning skills
  CG2 Problem solving.
  CG3 Descion making
  CG4 Information management capacity.
  CG5 Oral and written communication in your own language.
  CG6 Knowledge and use of the English language.
  CG7 Computer skills related to the field of study.
Type CE Code Specific Competences
  CE1 Knowing the concepts of product life cycle to learn how to apply them with an integral approach, with sustainability criteria through software tools and infrastructure and digital media.
  CE2 To know and apply the principles and tools of Lean Manufacturing in the processes of design and development of products of the Industry 4.0 to materialize proposals of innovation through concurrent engineering and ICT of collaborative engineering.
  CE3 Learn the basics of cloud computing, components, tools and its orientation as an Internet-based service.
  CE4 Know and apply tools and techniques to capture, store, smart analysis and visualize massive data.
  CE5 To know and know how to implement in the factories the architectures, technologies and protocols used in communication systems and local industrial networks.
  CE6 Knowing the role of cyber security in the factories of the future, the methods, techniques and limitations to be able to implement safe industrial infrastructures.
  CE7 To know the fundamentals of Artificial Intelligence and its most important practical applications for its implementation in the design and manufacturing processes.
  CE8 Know how to use artificial intelligence methods to model, design and develop applications based on reasoning and inference engines to be implemented in the Industry.
  CE9 Know the principles, techniques and systems that comprise the concept of Industrial Internet of Things (IIoT) and its relationship with design and manufacturing
  CE10 Knowing how to implement robust, flexible and fault-tolerant industrial control systems, through data acquisition and decision making systems appropriate to each situation.
  CE11 Know and use the elements and principles of operation of cyberphysical systems resulting from the integration of physical, computational and communication processes.
  CE12 Develop cyberphysical systems for application to product and process solutions in factories, using Systems Engineering procedures.
  CE13 Use the integration of different data sources for the definition of flexible, reliable and efficient supply chain management systems, supported by the Industrial Internet of Things and optimized logistics management software tools
  CE14 Know the concepts, principles and tools of intelligent manufacturing systems, which facilitate access to information and production data through automated tools for capturing, processing and displaying information
  CE15 To know and apply the additive manufacturing technologies, the materials used and the application strategies in the design and manufacture of products.
  CE16 Develop models, mock-ups and prototypes using additive manufacturing techniques and tools
  CE17 Know the advanced techniques and tools of metrology, calibration and accreditation.
  CE18 Develop advanced dimensional verification strategies for application to components and products in the connected industry
  CE19 To know, use and know how to implement principles, applications, components, instrumentation and installations of advanced robotic systems for industry.
  CE20 To know and know how to apply principles, techniques and equipment of immersion in virtual, augmented and hybrid reality for its implementation in the industry
  CE21 To know and be able to use modeling and simulation tools by finite elements, finite differences and computerized fluid dynamics (CFD) as tools of Assisted Engineering (CAE)
  CE22 Select the appropriate finite element difference (FEM) and computerized fluid dynamics (CFD) modeling and simulation tools to solve design and manufacturing engineering problems
  CE23 Know and select the most suitable advanced CAD/CAM/CAE environments to be integrated and implemented in the Industry.
  CE24 Knowing how to apply advanced design, manufacturing and engineering tools to the modeling and manufacturing of complex mechanical parts and assemblies in the industry
  CE25 Know and be able to use techniques and tools for mathematical modeling and simulation of discrete event systems and dynamic systems for application in production environments.
  CE26 Apply simulation tools to solve specific problems in plant management and integrate them into the implementation process of the 4.0 paradigms.
  CE27 To know and apply the engineering techniques and tools for the industrialization of the product in Lean contexts
  CE28 Developing strategies for the use of innovation capacity in design and manufacturing in industrial companies
  CE29 To know and integrate rigorously the procedures and techniques necessary for the elaboration and implementation of research, development and innovation projects in the context of Industry 4.0
  CE30 To develop critical/self-critical and communication skills in a research project, with excellence and quality criteria in national and international fields
  CE31 Know the advanced computer tools for mathematical calculation and their use in design and manufacturing engineering applications
  CE32 Select and apply advanced calculation tools for solving mathematical problems in the field of design engineering and manufacturing
  CE33 Identify and develop key skills and abilities in multidisciplinary teams for the processes of implementation and evolution towards industry 4.0
  CE34 Develop skills for competency-based management of people in high-performance teams in the context of Design and Manufacturing
Type CT Code Transversal Competences
  CT1 Ability to understand the meaning and application of the gender perspective in different areas of knowledge and in professional practice with the aim of achieving a more just and equal society
  CT2 Incorporate criteria of sustainability and environmental commitment into professional practice. To acquire skills in the equitable, responsible and efficient use of resources
  CT3 Multidisciplinary teamwork
  CT4 Initiative and entrepreneurial aptitudes and actitudes.
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