Les destinataires de ce cours : This course is aimed at both students and professionals. A basic understanding of logic, sets, and statistics (at the undergraduate level) is assumed. Basic computer skills are required to use the software provided with the course (but no programming experience is needed). Participants are also expected to have an interest in process modeling and data mining but no specific prior knowledge is assumed as these concepts are introduced in the course.

Créé par :   Université technique d'Eindhoven

  • Wil van der Aalst

    Enseigné par :    Wil van der Aalst, Professor dr.ir.

    Department of Mathematics & Computer Science
Engagement6 weeks of study, 3 to 5 hours/week of material + self study
Matériel requisLaptop or computer with 1+ GB memory, able to run Java tools.
Comment réussirRéussissez tous les devoirs notés pour terminer le cours.
Notes des utilisateurs
4.8 stars
Average User Rating 4.8Voir ce que disent les étudiants
Programme de cours

Comment cela fonctionne
Travail en cours
Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

Aide de la part de vos pairs
Aide de la part de vos pairs

Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.


Obtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.

Université technique d'Eindhoven
Eindhoven University of Technology (TU/e) is a research-driven, design-oriented university of technology with a strong international focus. The university was founded in 1956, and has around 8,500 students and 3,000 staff. TU/e has defined strategic areas focusing on the societal challenges in Energy, Health and Smart Mobility. The Brainport Eindhoven region is one of world’s smartest; it won the title Intelligent Community of the Year 2011.
Notation et examens
Note moyenne 4.8 sur 5 sur 138 notes

I learnt a lot from this course. Excellent!

Brilliant course. Would fully recommend

Extremely interesting subject. The exposition is for the most part remarkably clear, though it amounts to a necessarily quick introduction to the vast variety of tecniques and tools. The student is supposed to conduct a lot of practice as self-study and experimenting. Giving 4 stars out of 5 instead of full marks only because I feel this course might work better in an extended format, going more in-depth on real cases and guiding the students through the hurdles and subtleties of such analyses.