Educational guide 2023_24 Escola de Enxeñaría Industrial

Máster Universitario en Industria 4.0

Training and Learning Results

Choose A	Code	Training and Learning Results
	A1	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
	A2	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.
	A3	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.
	A4	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
	A5	Students have got the learning skills that will enable them to continue studying in a largely self-directed or autonomous manner

Choose B	Code	Knowledge
	B1	Organization and planning skills
	B2	Problem solving.
	B3	Descion making
	B4	Information management capacity.
	B5	Oral and written communication in your own language.
	B6	Knowledge and use of the English language.
	B7	Computer skills related to the field of study.

Choose C	Code	Skill
	C1	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.
	C2	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.
	C3	Learn the basics of cloud computing, components, tools and its orientation as an Internet-based service.
	C4	Know and apply tools and techniques to capture, store, smart analysis and visualize massive data.
	C5	To know and know how to implement in the factories the architectures, technologies and protocols used in communication systems and local industrial networks.
	C6	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.
	C7	To know the fundamentals of Artificial Intelligence and its most important practical applications for its implementation in the design and manufacturing processes.
	C8	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.
	C9	Know the principles, techniques and systems that comprise the concept of Industrial Internet of Things (IIoT) and its relationship with design and manufacturing
	C10	Knowing how to implement robust, flexible and fault-tolerant industrial control systems, through data acquisition and decision making systems appropriate to each situation.
	C11	Know and use the elements and principles of operation of cyberphysical systems resulting from the integration of physical, computational and communication processes.
	C12	Develop cyberphysical systems for application to product and process solutions in factories, using Systems Engineering procedures.
	C13	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
	C14	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
	C15	To know and apply the additive manufacturing technologies, the materials used and the application strategies in the design and manufacture of products.
	C16	Develop models, mock-ups and prototypes using additive manufacturing techniques and tools
	C17	Know the advanced techniques and tools of metrology, calibration and accreditation.
	C18	Develop advanced dimensional verification strategies for application to components and products in the connected industry
	C19	To know, use and know how to implement principles, applications, components, instrumentation and installations of advanced robotic systems for industry.
	C20	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
	C21	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)
	C22	Select the appropriate finite element difference (FEM) and computerized fluid dynamics (CFD) modeling and simulation tools to solve design and manufacturing engineering problems
	C23	Know and select the most suitable advanced CAD/CAM/CAE environments to be integrated and implemented in the Industry.
	C24	Knowing how to apply advanced design, manufacturing and engineering tools to the modeling and manufacturing of complex mechanical parts and assemblies in the industry
	C25	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.
	C26	Apply simulation tools to solve specific problems in plant management and integrate them into the implementation process of the 4.0 paradigms.
	C27	To know and apply the engineering techniques and tools for the industrialization of the product in Lean contexts
	C28	Developing strategies for the use of innovation capacity in design and manufacturing in industrial companies
	C29	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
	C30	To develop critical/self-critical and communication skills in a research project, with excellence and quality criteria in national and international fields
	C31	Know the advanced computer tools for mathematical calculation and their use in design and manufacturing engineering applications
	C32	Select and apply advanced calculation tools for solving mathematical problems in the field of design engineering and manufacturing
	C33	Identify and develop key skills and abilities in multidisciplinary teams for the processes of implementation and evolution towards industry 4.0
	C34	Develop skills for competency-based management of people in high-performance teams in the context of Design and Manufacturing

Choose D	Code	Competences
	D1	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
	D2	Incorporate criteria of sustainability and environmental commitment into professional practice. To acquire skills in the equitable, responsible and efficient use of resources
	D3	Multidisciplinary teamwork
	D4	Initiative and entrepreneurial aptitudes and actitudes.