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dc.contributor.authorChalmeta, Ricardo
dc.contributor.authorMollar, Manuel
dc.contributor.authorOrenga, Sergio
dc.date.accessioned2020-07-27T10:22:39Z
dc.date.available2020-07-27T10:22:39Z
dc.date.issued2017-07-03
dc.identifier.citationCHALMETA, R ; MOLLAR, M. ; ORENGA, S. Experiences in the development of big data for enterprise management courseng En: EDULEARN17 Proceedings. 9th International Conference on Education and New Learning Technologies (Barcelona, Spain 3-5 July, 2017), p. 6987-6990. ISBN 978-84-697-3777-4 DOI 10.21125/edulearn.2017.2633ca_CA
dc.identifier.isbn978-84-697-3777-4
dc.identifier.urihttp://hdl.handle.net/10234/189286
dc.descriptionComunicació presentada a EDULEARN17. 9th International Conference on Education and New Learning Technologies (Barcelona, Spain 3-5 July, 2017)ca_CA
dc.description.abstractThe Universitat Jaume I (UJI) of Castellón, Spain, is teaching the Master's Degree in Intelligent Systems. The main objective is to cover the great lack of consistent and updated Intelligent Systems skills in the university graduate students. It involves perception, learning and automated decision processes, robotic manipulation, data storage and processing, contextual information, visualisation and interactive environments. The master is composed of 20 courses. One of them addresses the development and implementation of a Big Data ecosystem in an organization. Big Data has become a key factor for organizations to gain a competitive advantage over competitors because it can help to bring a lot of benefits to organizations, such as to develop new products or services; make better, quick and automated strategic and operational decisions; or identify what was happened, and predict what will happen in the immediate future. The big data for enterprise management course equips students with the necessary basic knowledge and competencies they need to design and utilize Big Data for enterprise management, considering not only technological aspects, but also the management of organization policies and people. The aim of this paper is to describe the course objectives, the target competencies, the course contents, the assessments, and how the teaching methodology and the resources are used to teach the subject.ca_CA
dc.format.extent4 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherInternational Academy of Technology, Education and Development (IATED)ca_CA
dc.relation.isPartOfEDULEARN17 Proceedings. 9th International Conference on Education and New Learning Technologies (Barcelona, Spain. 3-5 July, 2017) : IATED, 2017. ISBN: 978-84-697-3777-4 / ISSN: 2340-1117 doi: 10.21125/edulearn.2017ca_CA
dc.rightsCopyright © 2017 IATED All rights reservedca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectintelligent systemsca_CA
dc.subjectbig dataca_CA
dc.subjectenterprise managementca_CA
dc.subjectlearning experiences.ca_CA
dc.titleExperiences in the development of big data for enterprise management courseca_CA
dc.typeinfo:eu-repo/semantics/conferenceObjectca_CA
dc.identifier.doihttp://dx.doi.org/10.21125/edulearn.2017.2633
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://library.iated.org/view/CHALMETA2017EXP2ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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