Conference paper 2019

Learning outcomes design for Data Science and Internet of Things training programs

VG
Vasileios, Gkamas
 RM
Rigou, Maria
 PI
Perikos, Isidoros
 GI
Gueorguiev, Ivaylo
 VP
Varbanov, Pavel
 TC
Todorova, Christina
10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019
Conference · Art. 8900662
Abstract

Data Science and Internet of Things are currently among the key drivers of skills and competences required by the IT market. As a skills' gap is projected in the Data Science and Internet of Things domains, substantial effort is required by training providers for the upskilling of IT workforce. In this work, we present the macro-level design of the learning outcomes of a multi-disciplinary VET program for Data Science and Internet of Things. The macro-level design is based on a desktop research and a survey conducted among the VET program beneficiaries, which are companies running Data Science and/or Internet of Things projects. © 2019 IEEE.

Keywords

Author Keywords

Skills knowledge Internet of Things learning outcomes transversal skills Competences data science

Index Keywords

Learning outcome Internet of things knowledge Data Science Transversal skills Macros Competences Skills
Author Affiliations
University of Patras, Rio, Achaia, Greece
European Software Institute Center Eastern Europe, Zamudio, Bulgaria
Funding & Acknowledgements
No funding information
References 6 References
1 Internet of Things A New Path to European Prosperity, (2015)
2 Curriculum Design in Vocational Education Aare Annual Conference, (2006)
3 Emerging Issues in the Practice of University Learning and Teaching, (2005)
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