Educational guide 2024_25
Escola Superior de Enxeñaría Informática
Grao en Intelixencia Artificial
 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 and statistical concepts and methods to model and solve artificial intelligence problems
  C2 Ability to solve artificial intelligence problems that require algorithms, correctly applying software development methodologies and user-centered design.
  C3 Ability to understand and master the basic concepts of logic, grammars and formal languages to analyze and improve solutions based on artificial intelligence.
  C4 Know the structure, organization, operation and interconnection of computer systems (computer, operating systems and computer networks).
  C5 Understand and apply the basic principles and techniques of parallel and distributed programming for the development and efficient execution of artificial intelligence techniques.
  C6 Ability to perform the analysis, design and implementation of applications that require working with large volumes of data, and in the cloud efficiently.
  C7 Understand the needs for data acquisition, storage and processing in the context of the Internet of Things and its main platforms.
  C8 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.
  C9 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.
  C10 To understand the new business models and innovation in the framework of companies based on artificial intelligence and its technologies.
  C11 Ability to design and create economic-financial valuation models of projects using appropriate computer tools.
  C12 Know the fundamentals of artificial intelligence algorithms and models for solving problems of a certain complexity, understand their computational complexity and have the ability to design new models.
  C13 Ability to model and design systems based on knowledge representation and logical or approximate reasoning and apply them to different domains and problems, also in contexts of uncertainty
  C14 Know the semantic technologies for storing and accessing knowledge graphs and their use in problem solving.
  C15 Know and know how to correctly apply and explain the validation techniques of artificial intelligence solutions.
  C16 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.
  C17 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.
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