000			03348nam a22003857a 4500
999			_c6580 _d6580
001			00006580
003			ES-MaONT
005			20240116154544.0
008			210607s2021 lu d|||| |||| 00| 0 eng d
020			_a978-92-76-37417-6
024			_d. _2doi _a10.2760 / 773615
040			_aES-MaONT
100	1		_95069 _aDodero, J. M.
245	1	0	_aArtificial intelligence masters’ programs - An analysis of curricula building blocks _c/ J. M. Dodero ; editors, López Cobo, M. y De Prato, G. ; Joint Research Centre
260			_aLuxembourg _b: Publications Office of the European Union, _c2021
300			_a172 p. : _bgráf. ; _c1 documento PDF
336			_atexto (visual) _2isbdcontent
337			_aelectrónico _2isbdmedia
338			_arecurso en línea _2rdacarrier
520			_aThis 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.
540			_aThe 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 _bEuropean Union
650		0	_94348 _aInteligencia Artificial
650		7	_aEducación digital _2 _92058
651		0	_92198 _aEuropa
653			_aIA
653			_aeducación superior
653			_atecnologías de la información
653			_aplan de estudios
653			_aenseñanza
700			_93681 _aLópez Cobo, Montserrat
700			_aDe Prato, Giuditta _96839
710			_aComisión Europea _92681 _bCentro Común de Investigación
856	4		_uhttps://op.europa.eu/en/publication-detail/-/publication/10b32294-be92-11eb-a925-01aa75ed71a1/language-en _x0 _yAcceso al documento _qpdf
942			_2z _cINF