Model Curricula for Data Science EDISON Data Science Framework

Authors
Publication date 2017
Book title 2017 IEEE 9th International Conference on Cloud Computing Technology and Science
Book subtitle CloudCom 2017 : proceedings : 11-14 December 2017, Hong Kong, Hong Kong
ISBN
  • 9781538606933
ISBN (electronic)
  • 9781538606926
Event IEEE 9th International Conference on Cloud Computing Technology and Science
Pages (from-to) 369-374
Publisher Los Alamitos, California: IEEE Computer Society
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
This paper presents the Data Science Model Curriculum (MC-DS) that is based on the Data Science Competence Framework and Data Science Body of Knowledge defined in EDISON Data Science Framework (EDSF). MC-DS follows a competence-based curriculum design approach grounded in the Data Science competences (CD-DS) defined in EDSF and correspondingly defined Learning Outcomes (LO). The DSBoK provides a basis for structuring the proposed MC-DS by Knowledge Area Groups (KAG) defined in correspondence with the CF-DS competence groups. ECTS point allocation to specific areas is recommended for Master's and Bachelor's program covering professional profile groups.
Document type Conference contribution
Language English
Published at https://doi.org/10.1109/CloudCom.2017.60
Permalink to this page
Back