LEARNML: LEARN TO MACHINE LEARN

Ref.No: 63230200
Start date: 29.10.2019
End date: 31.08.2022
Approval date: 29.10.2019
Department: ELECTRICAL & COMPUTER ENGINEERING
Sector: COMPUTER SCIENCE
Financier: ERASMUS, E.C.
Budget: 87.330,00 €
Public key: ΨΕΛΦ46ΨΖΣ4-ΔΚΚ
Scientific Responsible: Prof. GEORGIOS -ANDREAS STAFULOPATIS
Email: andreas@cs.ntua.gr
Description: THE "LEARN TO MACHINE LEARN" PROJECT IS A THREE-YEAR STRATEGIC PARTNERSHIP IN THE FIELD OF EDUCATION AIMING TO PRODUCE AN INNOVATIVE SOLUTION FOR THE TEACHING AND LEARNING OF CRUCIAL 21ST CENTURY SKILLS....