Higher Education in a Data Science Era

Nov. 24, 2017
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
Higher Education in a Data Science Era
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Higher Education in a Data Science Era

Editor's Notes

  1. Joos Buijs, Ass prof in het EDSA project, en RP manager at DSC/e Kernvraag: hoe veranderd Data Science het hoger Onderwijs? Deelvragen: Wat verwacht industrie qua skills? Hoe doceer je deze skills? Hoe ‘lever’ je deze skills?
  2. EDSA vacature dashboard
  3. Zoeken, filteren, statistieken
  4. Overeenkomsten: Technische aspecten Verschillen: Frankrijk enkele softskills, NL erg op taal gericht
  5. Face2Face niet altijd mogelijk. Vol Bachelor/Master Opleiding zeker ook niet Bestaande werknemers opleiden Vaak kennis ‘snacks’ nodig Snelheid is hoog
  6. Curated: kwaliteit Mix van aanbied methoden
  7. MSc & BSc alleen niet genoeg
  8. Bijv 93 actieve Studenten, hebben wij niet in procmin vak MOOCs: bereiken veel groter publiek, maar gaan minder diep, gedrag Studenten is anders dan bij fysieke vakken (good & bad)