03349nam a22003857a 4500 6580 6580 00006580 ES-MaONT 20250123012004.0 210607s2021 lu d|||| |||| 00| 0 eng d 978-92-76-37417-6 . doi 10.2760 / 773615 ES-MaONT 5069 Dodero, J. M. Artificial intelligence masters’ programs - An analysis of curricula building blocks / J. M. Dodero ; editors, López Cobo, M. y De Prato, G. ; Joint Research Centre Luxembourg : Publications Office of the European Union, 2021 172 p. : gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier This report identifies building blocks of master programs on Artificial Intelligence (AI), on the basis of the existing programs available in the European Union.The proposal analyses first, the knowledge contents, and second, the educational competences declared as the learning outcomes, of 45 post-graduate academic masters’ programs related with AI from universities in 13 European countries (Belgium, Denmark, Finland, France, Germany, Italy, Ireland, Netherlands, Portugal, Spain, and Sweden in the EU; plus Switzerland and the United Kingdom). As a closely related and relevant part of Informatics and Computer Science, major AI-related curricula on data science have been also taken into consideration for the analysis. As the result of studying core AI knowledge topics from the master programs sample, machine learning is observed to prevail, followed in order by: computer vision; human-computer interaction; knowledge representation and reasoning; natural language processing; planning, search and optimisation; and robotics and intelligent automation. A significant number of master programs analysed are significantly focused on machine learning topics, despite being initially classified in another domain. It is noteworthy that machine learning topics, along with selected topics on knowledge representation, depict a high degree of commonality in AI and data science programs. Finally, the competence-based analysis of the sample master programs’ learning outcomes, based on Bloom’s cognitive levels, outputs that understanding and creating cognitive levels are dominant. The reuse policy of the European Commission is implemented by the Commission Decision 2011/833/EU of 12 December 2011 on the reuse of Commission documents (OJ L 330, 14.12.2011, p. 39). Except otherwise noted, the reuse of this document is authorised under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence European Union 4348 Inteligencia Artificial Educación digital 2058 2198 Europa IA educación superior tecnologías de la información plan de estudios enseñanza 3681 López Cobo, Montserrat De Prato, Giuditta 6839 Comisión Europea. Centro Común de Investigación 2681 https://op.europa.eu/en/publication-detail/-/publication/10b32294-be92-11eb-a925-01aa75ed71a1/language-en 0 Acceso al documento pdf z INF 0 0 z 0 3 1 01 01 online 2021-06-07 0 1000020176773 2021-06-07 00:00:00 2021-06-07 INF pdf