nl en

Business Intelligence and Process Modeling



Niet van toepassing


In a dynamic world organizations must constantly optimize, update, and monitor the execution of their processes to stay competitive and efficient. These processes are developed on the basis of organizational targets and strategic goals, but of course the underlying IT landscape is also of influence on process design, development, implementation, and execution. In this course business and IT come together in a data-driven approach to understanding business process management.


By the end of the course, the student should be able to:

  1. Be aware of the most relevant concepts and achievements in this research area.
  2. Be able to model a business process in a common notation and
  3. Understand the differences, strengths, and weaknesses of specific modeling languages.
  4. Be able to undertake an independent research project into business process mining.
  5. Be able to apply data mining methods in an organizational context.


Het meest recente rooster is te vinden op de Liacs website


Per week 2 uur hoorcollege gevolgd door 2 uur werkcollege


Tentamen (60%) en practicum (40%).


The following book is compulsary for the course:
Process Mining: Discovery, Conformance and Enhancement of Business Processes by Wil van der Aalst.
Furthermore, the literature for the course will take the form of a collection of scientific articles that are discussed during the lectures. For the practical part we will make use of open source tools.


Aanmelden via Usis: Selfservice > Sudentencentrum > Inschrijven
Activiteitencodes te vinden via de facultaire website

Voor studenten die niet staan ingeschreven voor de bachelor Informatica is er een beperkte capaciteit. Neem contact op met de studieadviseur.


Onderwijscoördinator Informatica en Economie


Business Intelligence & Process Modeling