Mostrar el registro sencillo del ítem
Experiences in the development of big data for enterprise management course
dc.contributor.author | Chalmeta, Ricardo | |
dc.contributor.author | Mollar, Manuel | |
dc.contributor.author | Orenga, Sergio | |
dc.date.accessioned | 2020-07-27T10:22:39Z | |
dc.date.available | 2020-07-27T10:22:39Z | |
dc.date.issued | 2017-07-03 | |
dc.identifier.citation | CHALMETA, 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.2017.2633 | ca_CA |
dc.identifier.isbn | 978-84-697-3777-4 | |
dc.identifier.uri | http://hdl.handle.net/10234/189286 | |
dc.description | Comunicació presentada a EDULEARN17. 9th International Conference on Education and New Learning Technologies (Barcelona, Spain 3-5 July, 2017) | ca_CA |
dc.description.abstract | The 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.extent | 4 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | International Academy of Technology, Education and Development (IATED) | ca_CA |
dc.relation.isPartOf | EDULEARN17 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.2017 | ca_CA |
dc.rights | Copyright © 2017 IATED All rights reserved | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | intelligent systems | ca_CA |
dc.subject | big data | ca_CA |
dc.subject | enterprise management | ca_CA |
dc.subject | learning experiences. | ca_CA |
dc.title | Experiences in the development of big data for enterprise management course | ca_CA |
dc.type | info:eu-repo/semantics/conferenceObject | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.21125/edulearn.2017.2633 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://library.iated.org/view/CHALMETA2017EXP2 | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |