Goed je te zien! Publinova is hét platform voor praktijkgericht onderzoek. Ga op ontdekkingstocht of zoek gericht op jouw interessegebied. Heb jij iets wat niet mag ontbreken op het platform? Het platform wordt gemaakt door ons allemaal, dus bouw mee! Werkt iets niet zoals je verwacht had? Stuur je bevinding naar support@publinova.nl.
Als je inlogt, kan je projecten of partijen die je interessant vindt volgen, je favorieten opslaan en bewerk je profiel. Ben je onderzoeker en je hogeschool is aangesloten? Dan kan je jouw producten en jouw projecten op Publinova verbinden aan je profiel.
LINK
31-12-2023The shortage for ICT personal in the EU is large and expected to increase. The aim of this research is to contribute to a better understanding of the roles and competences needed, so that education curricula can be better aligned to evolving market demand by answering the research question: Which competence gaps do we need to bridge in order to meet the future need for sufficiently qualified personnel in the EU Software sector? In this research, a mixed method approach was executed in twelve European countries, to map the current and future needs for competences in the EU. The analyses shows changes in demand regarding technical skills, e.g. low-code and a stronger focus on soft skills like communication and critical thinking. Besides this, the research showed educational institutes would do well to develop their curricula in a practical way by integration of real live cases and work together with organizations.
MULTIFILE
24-06-2023The past two years I have conducted an extensive literature and tool review to answer the question: “What should software engineers learn about building production-ready machine learning systems?”. During my research I noted that because the discipline of building production-ready machine learning systems is so new, it is not so easy to get the terminology straight. People write about it from different perspectives and backgrounds and have not yet found each other to join forces. At the same time the field is moving fast and far from mature. My focus on material that is ready to be used with our bachelor level students (applied software engineers, profession-oriented education), helped me to consolidate everything I have found into a body of knowledge for building production-ready machine learning (ML) systems. In this post I will first define the discipline and introduce the terminology for AI engineering and MLOps.
LINK
15-04-2021© 2025 SURF
We don't know what your privacy preferences are yet.