Leveraging Machine Learning in Process Mining

A.Y. 2021/2022
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Overall hours
Lesson period
January 2022
Lead instructor: Paolo Ceravolo
Process Mining (PM) is an application-oriented discipline that provides data-driven approaches to improve business processes. It connects model-based process analysis and data-oriented analysis techniques.
PM algorithms allow to discover, monitor, and improve real processes by extracting knowledge from the event logs available in information systems. Machine Learning (ML) can support PM in several ways: boosting pre-processing procedures, handing variant analysis, and discovering potential cause-effect relationships, and others. The course explains the key PM concepts and techniques and shows practical case studies where ML is applied in combination with PM.
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol


The course enrolment deadline is usually the 25th day of the month prior to the start date. More specifically:

  • 25 February 2022 for courses starting in March 2022
  • 25 March 2022 for courses starting in April 2022
  • 26 April 2022 for courses starting in May 2022
  • 25 May 2022 for courses starting in June 2022
  • 27 June 2022 for courses starting in July 2022
  • 31 August 2022 for courses starting in September 2022.

How to enrol

  1. Access enrolment on PhD courses online service using your University login details
  2. Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)

Ignore the option "Exam session date” that appears during the enrolment procedure.


For help please contact [email protected]