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The diversity of research areas covered by computer science is enormous, and nowadays almost all fields of human activity are transformed by its results.

Computer science: AI4LIFE

Digitalization and artificial intelligence (AI) have shaped the way we work, interact, organize ourselves, and even spend our free time with social networks, streaming media, and games. Though  this transformation is far from being complete, it is only beginning. Especially the AI field is so dynamic that it is hard to predict even what will change in the  next 5 years. However, one thing is for sure: things will change, and this will have strong effects on our everyday life.

In the last years, there have been remarkable successes with AI methods that have been covered in detail by the media, e.g. the first AI (AlphaGo) to beat human Go world champions, a game that only 10 years ago has been considered as too complex for modern AIs. While this wave of new achievements continues (AIs beating StarCraft or Dota2 champions), something else is going on now: these new methods are more and more used in practice, very often in an interdisciplinary context, together with Chemistry, Physics, Logistics, Engineering, Economics and even Social Sciences and Humanities.

They are not only used to determine what you see in Facebook or Instagram or what you are recommended to buy on Amazon or other online shops, they find you the way on Google maps or personalize your music listening experience, but are also needed to make new medicines or design new engines, or assist you with steering a vehicle (or completely take over themselves). Our program cannot cover all of AI but gives you a good idea of how computer scientists actually do research but also use their insights in practical applications.

Our lecture program consists of four topics, each of which is treated by lectures but also practical experiences, held by experts in the respective fields. Experimentation is currently at the heart of many advances of computer science methods and thus for getting an impression of what computer scientists do it is important to play around with these ideas yourself.

The four topics are:

  1. Interacting with Robots (dr. Joost Breukens)
  2. Limits of Computation (dr. Henning Basold)
  3. Machine Learning: From Zero To Hero (dr. Veysel Kocaman)
  4. Iterated Local Search in Theory and Practice (prof. dr. Holger Hoos)

Planning of the meetings

De colleges vinden plaats op donderdagmiddag van 14.15 tot 16.15 uur op de volgende data: 9 januari, 16 januari, 23 januari, 30 januari, 6 februari, 13 februari, 5 maart (practicum van 14:15 tot 17:15 uur) en 12 maart (practicum van 14:15 tot 17:15 uur).

Credits, letter of intent, admission

Credits ‘Studielasturen (slu's)’
The credit value of active participation in the PRE-programme is 25 slu. If you like, you can also write a ‘Profielwerkstuk’ based on one of the programme themes. In this case, please discuss this with your own teacher at school and contact one of the Pre-Classes instructors listed above.

Letter of Intent (in English)
Use your letter to tell us about yourself and in particular why you would like to take part in this programme. Please restrict your letter, in English, to about 300 words or one page of A4.

The maximum number of students selected for the programme will be 24. Pupils from 5 and 6 vwo are welcome to apply.


The deadline for signing up for a PRE-Class in 2020 is 4 November 9:00am. Go to 'Aanmelding & selectie' to apply for this class.

The programme is also open to international students; if needed, the lectures will be in English.


For practical questions, please contact Esrih Bakker. For other questions you can contact the contact person of the class dr. Mike Preuss.

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