Dr Cameron Browne comes from a game-playing family: ‘My mother valued the developmental potential of games, and my grandmother was the meanest Scrabble player I’ve ever encountered’. It is therefore not a coincidence that Browne has spent a large portion of his academic life researching games and has been awarded an ERC consolidator grant of €2 million to start up a five-year research project called the ‘Digital Ludeme Project’.
Questionnaires have gone out to UM alumni, asking them about their position on the labour market.
This research yields rich and valuable data, showing for example how alumni look back on their studies a number of years after their graduation.
With 30 participants, 11 nationalities and 10 highly motivated alumni coaches, a sold-out and lively Coachcafé was held on 7 November.
Maastricht University placed #201-250 out of 1000 universities worldwide in the 2018 Times Higher Education Computer Science subject ranking
UM researcher Rico Möckel (DKE) won with his intelligent robotic game devices.
Department of Data Science & Knowledge Engineering co-operates in shaping the factory of the future!03-10-2017
In the past months DKE has joined forces with several companies from Limburg in the area of industrial robotics with the goal of founding a new Fieldlab in Roermond, filled with state-of-the-art robotic equipment.
A major subsidy from the Netherlands Heart Foundation will enable Prof. dr. Paul Volders and Dr. Matthijs Cluitmans to expand their research into ventricular fibrillation.
DKE student Thomas Vrancken uses text-mining to prove that the vocabulary of rappers is significantly richer than that pop music artists.
How many spells are cast by the characters in the seven Harry Potter books? That’s what master’s students of Data Science for Decision Making Moritz Haine and Markus Dienstknecht wanted to find out in celebration of Harry Potter’s 20th anniversary. To answer their question, they used text mining, an information retrieval technique common in computer science.
Research conducted by the Department of Data Science and Knowledge Engineering (DKE) has been positively evaluated by an independent review committee, carried out by the Association of Universities in the Netherlands (VSNU).
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