Data sciences and teaching methods—learning
Data Science (DS) is an interdisciplinary field responsible for extracting knowledge from the data. This discipline is particularly complex in the face of Big Data: large volumes of data make it difficult to store, process and analyze with standard computer science technologies. The new revolution i...
- Autores:
-
Silva, Jesus
Portillo, Rafael
Hernandez, Ana Emilia
Varela, Noel
Martinez Caraballo, Hugo
Hernández Palma, Hugo Gaspar
Redondo Bilbao, Osman
Leon Castro, Nadia
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6195
- Acceso en línea:
- https://hdl.handle.net/11323/6195
https://repositorio.cuc.edu.co/
- Palabra clave:
- Data science
Deep learning
Experiential learning
Gamification
- Rights
- openAccess
- License
- CC0 1.0 Universal
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| dc.title.spa.fl_str_mv |
Data sciences and teaching methods—learning |
| title |
Data sciences and teaching methods—learning |
| spellingShingle |
Data sciences and teaching methods—learning Data science Deep learning Experiential learning Gamification |
| title_short |
Data sciences and teaching methods—learning |
| title_full |
Data sciences and teaching methods—learning |
| title_fullStr |
Data sciences and teaching methods—learning |
| title_full_unstemmed |
Data sciences and teaching methods—learning |
| title_sort |
Data sciences and teaching methods—learning |
| dc.creator.fl_str_mv |
Silva, Jesus Portillo, Rafael Hernandez, Ana Emilia Varela, Noel Martinez Caraballo, Hugo Hernández Palma, Hugo Gaspar Redondo Bilbao, Osman Leon Castro, Nadia |
| dc.contributor.author.spa.fl_str_mv |
Silva, Jesus Portillo, Rafael Hernandez, Ana Emilia Varela, Noel Martinez Caraballo, Hugo Hernández Palma, Hugo Gaspar Redondo Bilbao, Osman Leon Castro, Nadia |
| dc.subject.spa.fl_str_mv |
Data science Deep learning Experiential learning Gamification |
| topic |
Data science Deep learning Experiential learning Gamification |
| description |
Data Science (DS) is an interdisciplinary field responsible for extracting knowledge from the data. This discipline is particularly complex in the face of Big Data: large volumes of data make it difficult to store, process and analyze with standard computer science technologies. The new revolution in Data Science is already changing the way we do business, healthcare, politics, education and innovation. This article describes three different teaching and learning models for Data Science, inspired by the experiential learning paradigm. |
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2020 |
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2020-04-15T19:25:33Z |
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2020-04-15T19:25:33Z |
| dc.date.issued.none.fl_str_mv |
2020-03-05 |
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Pre-Publicación |
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http://purl.org/coar/resource_type/c_816b |
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https://hdl.handle.net/11323/6195 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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https://hdl.handle.net/11323/6195 https://repositorio.cuc.edu.co/ |
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Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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CC0 1.0 Universal |
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http://creativecommons.org/publicdomain/zero/1.0/ |
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Universidad de la Costa |
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Corporación Universidad de la Costa |
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Silva, JesusPortillo, RafaelHernandez, Ana EmiliaVarela, NoelMartinez Caraballo, HugoHernández Palma, Hugo GasparRedondo Bilbao, OsmanLeon Castro, Nadia2020-04-15T19:25:33Z2020-04-15T19:25:33Z2020-03-05https://hdl.handle.net/11323/6195Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Data Science (DS) is an interdisciplinary field responsible for extracting knowledge from the data. This discipline is particularly complex in the face of Big Data: large volumes of data make it difficult to store, process and analyze with standard computer science technologies. The new revolution in Data Science is already changing the way we do business, healthcare, politics, education and innovation. This article describes three different teaching and learning models for Data Science, inspired by the experiential learning paradigm.Silva, JesusPortillo, RafaelHernandez, Ana EmiliaVarela, NoelMartinez Caraballo, HugoHernández Palma, Hugo GasparRedondo Bilbao, OsmanLeon Castro, NadiaengUniversidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Data scienceDeep learningExperiential learningGamificationData sciences and teaching methods—learningPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALData Sciences and Teaching Methods—Learning.pdfData Sciences and Teaching Methods—Learning.pdfapplication/pdf104062https://repositorio.cuc.edu.co/bitstreams/b305bff1-1a84-459d-ac9a-becc9c07d05c/download32f568917a192d37b1af4ef5cfc48719MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/d3c8a113-5e8f-4305-973a-ce12529f1144/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/ab839078-ace5-4d1e-aefa-266ad0757ed7/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILData Sciences and Teaching Methods—Learning.pdf.jpgData Sciences and Teaching Methods—Learning.pdf.jpgimage/jpeg35795https://repositorio.cuc.edu.co/bitstreams/4228b5a1-cacd-4db2-9154-2fc64f411800/downloadd5559bc6f3059ad9a7745dd2b9005e7dMD54TEXTData Sciences and Teaching Methods—Learning.pdf.txtData Sciences and Teaching Methods—Learning.pdf.txttext/plain853https://repositorio.cuc.edu.co/bitstreams/65f557c1-c6dd-469a-a71e-d916799a9808/download9ca73ed6637a01699af951783197caa9MD5511323/6195oai:repositorio.cuc.edu.co:11323/61952024-09-17 10:14:18.357http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |