Competencies and objectives

Provisional information. Pending approval by the Department Council.

 

Course context for academic year 2025-26

En la actualidad, la Inteligencia Artificial (IA) y, en particular, la Inteligencia Artificial Generativa (IAG), se han convertido en herramientas fundamentales para la producción, gestión y difusión del conocimiento científico. El entorno doctoral exige cada vez más competencias digitales avanzadas que permitan a los investigadores optimizar procesos de búsqueda, organización de información, análisis de datos y comunicación de resultados.

La asignatura Aplicación de herramientas de Inteligencia Artificial orientada a Doctorado proporciona al alumnado una visión introductoria y aplicada de las principales herramientas de Inteligencia Artificial Generativa y de análisis de datos utilizadas en la investigación académica. El curso combina el uso de asistentes inteligentes y plataformas digitales con nociones básicas de programación y aprendizaje automático, fomentando tanto el desarrollo de competencias técnicas como la reflexión crítica sobre las implicaciones éticas y metodológicas de la IA en la producción científica.

 

 

Learning outcomes / Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2025-26

Competencias básicas

  • CB11 : Systematic comprehension of a field of study and mastery of the skills and research methods related to said field. (The term "field" is replaced by "area" as from the application of Royal Decree 576/2023, of 4 July)
  • CB12 : Ability to conceive, design or create, put into practice, and adopt a substantial research or creation process.
  • CB13 : Ability to contribute to the expansion of knowledge barriers through original research.
  • CB16 : Ability to foment scientific, technological, social, artistic or cultural advances within a knowledge-based society in academic and professional contexts.
  • CB17 : Ability to promote Open Science and Citizen Science, in accordance with article 12 of Spanish Organic Law 2/2023, of 22 March, as means of contributing to the consideration of scientific knowledge as a common good. This can be accomplished by assessing transversal activities conducted by the doctoral student. The activities shall be related to different dimensions of Open Science and Citizen Science, as well as the training acquired in these disciplines in the form of micro-credentials or similar (from the application of Royal Decree 576/2023, of 4 July).
  • CB6 : Poseer y comprender conocimientos que aporten una base u oportunidad de ser originales en el desarrollo y/o aplicación de ideas, a menudo en un contexto de investigación.

 

Capacidades y destrezas personales

  • CA01 : To cope with contexts in which there is little specific information.
  • CA03 : To design, create, develop, and carry out innovative projects in your field of knowledge.
  • CA04 : To be able to work as a team and as an individual in an international and multidisciplinary context.
  • CA05 : To process knowledge, cope with complexity and formulate judgements with limited information
  • CA06 : To criticize and defend solutions intellectually.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2025-26

No data

 

 

General

Code: 500412
Lecturer responsible:
Aragonés Ferrero, Jaume
Credits ECTS: 1,20
Theoretical credits: 0,48
Practical credits: 0,00
Distance-base hours: 0,72

Departments involved

No data

Study programmes where this course is taught