Email zoekanet@uniwa.gr, Τηλ 210 538 1143
210 538 1506
The EDM Summer School is a summer school programme aimed at international students with subjects and interests related to engineering. Nowadays, opening up to foreign countries and learners from other cultures remains more than ever a key parameter for human-centered training and education.
The entire programme will be conducted in English. It will be completed in 50 hours, and will be organised in a mixed-hybrid system of knowledge dissemination. The first part, pre-course, will be implemented remotely and will include 2 hours on the course structure and details, as well as 4 hours of distance learning of Greek culture. The second part will take place at the premises of the University of West Attica, at the Ancient Olive Grove Campus (on-site) and will include teaching of 3 engineering modules, as well as educational visits to cultural sites-monuments in and outside Attica, as well as a factory.
It a number of engineering specializations students require the knowledge of 3D design, drawing models, 3D printing, technology of metal materials and their mechanical properties, artificial intelligence prediction models in engineering applications, and studying the design and manufacture of an experimental racing car.
The proposed programme adheres to the principles of a full human-centered training programms.
The target group of the programme are international students, from different countries, from diverse cultural backgrounds, aged 18 and above, with relevant work interests, in disciplines such as engineering, computer science, and science. The programme aims to interest people who want to become familiar with design and modelling, materials technology, and their applications in multiple engineering domains. In addition, the summer course programme is enriched with a component on Greek culture in order to provide the necessary link with the country of the event.
SCIENTIFIC FIELDS:
Engineering science
Computer Science
Arts and Civilization
550€
Ισχύει εκπτωτική πολιτική.
Επίκουρη Καθηγήτρια
Computer Aided Design (CAD), Machine Learning, Data Analysis, Online Learning, Mobile Learning, Engineering Education, Knowledge Data