Educational guide 2023_24 Escola Superior de Enxeñaría Informática

Training and Learning Results

Choose A	Code	Training and Learning Results
	A1	That students have demonstrated possession and understanding of knowledge in an area of study that builds on the foundation of general secondary education, and is usually at a level that, while relying on advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study.
	A2	That students know how to apply their knowledge to their work or vocation in a professional manner and possess the competencies that are usually demonstrated through the elaboration and defense of arguments and the resolution of problems within their area of study.
	A3	That students have the ability to gather and interpret relevant data (usually within their area of study) to make judgments that include a reflection on relevant social, scientific or ethical issues.
	A4	That students can convey information, ideas, problems and solutions to both specialized and non-specialized audiences.
	A5	That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy.

Choose B	Code	Knowledge
	B1	Ability to conceive, write, organize, plan, and develop models, applications and services in the field of artificial intelligence, identifying objectives, priorities, deadlines, resources and risks, and controlling the established processes.
	B2	Ability to solve problems with initiative, decision making, autonomy and creativity.
	B3	Ability to design and create quality models and solutions based on Artificial Intelligence that are efficient, robust, transparent and accountable.
	B4	Ability to select and justify the appropriate methods and techniques to solve a specific problem, or to develop and propose new methods based on artificial intelligence.
	B5	Ability to design new computational systems and/or evaluate the performance of existing systems, integrating artificial intelligence models and techniques.

Choose C	Code	Skill
	C1	Ability to use mathematical concepts and methods that may arise in the modeling, approach and resolution of artificial intelligence problems.
	C2	Ability to use the concepts and methods of probability, statistics and optimization to model and solve artificial intelligence problems.
	C3	Ability to solve artificial intelligence problems requiring algorithms, from their design and implementation to their evaluation.
	C4	To know and apply to the field of artificial intelligence the methodologies of software engineering and user-centered design.
	C5	Ability to understand and master the basic concepts of logic, grammars and formal languages to analyze and improve solutions based on artificial intelligence.
	C6	Know the structure, organization, operation and interconnection of computer systems (computer, operating systems and computer networks).
	C7	Understand and apply the basic principles and techniques of parallel and distributed programming for the development and efficient execution of artificial intelligence techniques.
	C8	Ability to perform the analysis, design and implementation of applications that require working with large volumes of data, applying appropriate hardware/software architectures.
	C9	Ability to deploy in the cloud artificial intelligence applications that run efficiently with defined computational resources.
	C10	Understand the needs of data capture, storage and processing in the context of the Internet of Things, understanding the heterogeneity of data and the special characteristics of this type of environment.
	C11	To know the main software platforms and architectures for data acquisition, storage and processing in the context of the Internet of Things.
	C12	To know and apply the characteristics, functionalities and structure of database systems and distributed databases that allow their adequate use and the implementation of Artificial Intelligence solutions that can include large volumes of data.
	C13	Ability to define and interpret the fundamentals of organizations, the basic aspects of their organization and management, the innovation process and its management, their different functional areas and their socioeconomic environment.
	C14	To understand the new business models and innovation in the framework of companies based on artificial intelligence and its technologies.
	C15	Ability to design and create economic-financial valuation models of projects using appropriate computer tools.
	C16	Know the fundamentals of artificial intelligence and optimization algorithms, understand their computational complexity and know how to apply them to problem solving.
	C17	To know the fundamental aspects of metaheuristic and bio-inspired algorithms for problem solving, to have the ability to apply them and to design new models.
	C18	To know the modeling and knowledge representation techniques and their relationship with reasoning paradigms, designing solutions based on logical reasoning that take into account efficiency and the needs of the problems.
	C19	Ability to design knowledge-based systems and the representation and reasoning strategies applied to different domains and problems, discovering the basic problems that arise in their construction.
	C20	Know the semantic technologies for storing and accessing knowledge graphs and their use in problem solving.
	C21	To know the fundamentals of approximate reasoning and decision making techniques, in uncertainty environments, selecting the most appropriate for problem solving.
	C22	Conceive, design, develop and present solutions to problems of certain complexity based on artificial intelligence, facing and solving in an adequate way the difficulties that could arise during its development.
	C23	Know and know how to correctly apply and explain the validation techniques of artificial intelligence solutions.
	C24	Development of the appropriate skills to carry out an original exercise, present it and defend it before a university tribunal, consisting of a project in the field of Artificial Intelligence technologies in which the competences acquired in the courses are synthesized and integrated.
	C25	Ability to adapt and apply in the professional field a significant set of the competencies acquired in this degree.

Choose D	Code	Competences
	D1	Ability to communicate and transmit their knowledge, skills and abilities.
	D2	Ability to work as part of a team, in interdisciplinary environments and managing conflicts
	D3	Ability to create new models and solutions in an autonomous and creative way, adapting to new situations. Initiative and entrepreneurial spirit.
	D4	Ability to introduce the gender perspective in models, techniques and solutions based on artificial intelligence.
	D5	Ability to develop models, techniques and solutions based on artificial intelligence that are ethical, non-discriminatory and reliable.
	D6	Ability to integrate legal, social, environmental and economic aspects inherent to artificial intelligence, analyzing its impacts, and committing to the search for solutions compatible with sustainable development.