Master data

International Masters Program in Embedded Artificial Intelligence
Description:

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.

Keywords: – 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
Short title: EmbeddedAI
Period: 01.02.2023 - 31.01.2026
Contact e-mail: wilfried.elmenreich@aau.at
Homepage: http://www.embedded-ai.education/

Categorisation

Project type Erasmus+ Education and Mobility Projects
Funding type §27
Research type
  • Other research
Subject areas
  • 202010 - Electric power engineering
  • 202041 - Computer engineering
  • 202022 - Information technology
Research Cluster
  • Energy management and technology
Gender aspects Genderrelevance not selected
Project focus
  • Science to Science (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups
  • Smart Grids Group

Funding

Funding program
Erasmus+
Organisation: EU - Erasmus+

Organisation: EU - Erasmus+

Cooperations

No partner organisations selected