Stammdaten

International Masters Program in Embedded Artificial Intelligence
Beschreibung:

EmbeddedAI aims at enhancing the skill set for modelling, design and analysis of artificial intelligence on embedded systems for

engineers by strengthening the Nigerian Higher Education (HE) training and curricula with state-of-the-art European standards and

technologies. The project aims to strengthen the links between university-enterprise cooperation, entrepreneurship and employability

of graduates in Nigeria and encourage the culture of practice-oriented and industry-motivated training in Nigeria HE systems that are

historically more theoretically oriented.The project aims to establish and align study programs for a Master of Science in Embedded
Artificial Intelligence to facilitate entrepreneurship opportunities and serve the Nigerian industry.

Schlagworte: – Bologna process - related to Modernisation of Higher Education– Promotion of employability– Curriculum design and development– Pedagogical developments (e.g peer/collaborative/blended/shadow learning)– Sustainable Development Goals - Quality Educati
Kurztitel: EmbeddedAI
Zeitraum: 01.02.2023 - 31.01.2026
Kontakt-Email: wilfried.elmenreich@aau.at
Homepage: http://www.embedded-ai.education/

Kategorisierung

Projekttyp Erasmus+ Bildungs- und Mobilitätsprojekte
Förderungstyp §27
Forschungstyp
  • Sonstige Forschung
Sachgebiete
  • 202010 - Elektrische Energietechnik
  • 202041 - Technische Informatik
  • 202022 - Informationstechnik
Forschungscluster
  • Energiemanagement und -technik
Genderrelevanz Genderrelevanz nicht ausgewählt
Projektfokus
  • Science to Science (Qualitätsindikator: n.a.)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Smart Grids Group

Finanzierung

Förderprogramm
Erasmus+
Organisation: EU - Erasmus+

Organisation: EU - Erasmus+

Kooperationen

Keine Partnerorganisation ausgewählt