Wil van der Aalst




Wil van der Aalst is a full professor at the Department of Mathematics & Computer Science of the Technische Universiteit Eindhoven (TU/e) where he chairs the Architecture of Information Systems (AIS) group (from 2000-2006 he also chaired the IS capacity group at TU/e). He also has a part-time appointment in the BPM group of Queensland University of Technology (QUT). His research and teaching interests include business process management, information systems, workflow management, Petri nets, process mining, specification languages, and simulation.

More info: http://wwwis.win.tue.nl/~wvdaalst/

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May 15th 2017

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

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