0895 Process Analytics
Dott.mag. Alessio Cecconi
  • LV-Typ
  • Semesterstunden
  • Unterrichtssprache
16.11.2020 bis 27.11.2020
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Bachelor
Wochentag Datum Uhrzeit Raum
Donnerstag 03.12.2020 14:30 - 17:30 Online-Einheit
Freitag 04.12.2020 09:00 - 12:00 Online-Einheit
Freitag 11.12.2020 09:00 - 12:00 Online-Einheit
Freitag 18.12.2020 09:00 - 12:30 Online-Einheit
Dienstag 22.12.2020 09:00 - 12:30 Online-Einheit
Donnerstag 07.01.2021 09:00 - 11:00 Online-Einheit
Freitag 08.01.2021 09:00 - 11:30 Online-Einheit
Freitag 15.01.2021 08:30 - 10:00 Online-Einheit

Ablauf der LV bei eingeschränktem Campusbetrieb

The course will be held with distant learning modalities, with the exception of the written test.

  • Classes will be held synchronously on Microsoft Teams, which is available to all WU students and employees. Invitations will be sent to every participant by the instructor.
  • Personal and group assignments will be performed and submitted remotely.
  • The written test will be offline on campus (15.01.2021 08:30-10:00 D4.0.022).

In case of further limitations to campus activities, the written test will be held through the Online Exam environment on MyLEARN.


Inhalte der LV

The course covers the main concepts pertaining to the analysis of business processes from a technological perspective, from the implementation in IT systems to process mining. More in details, the arguments covers: the foundation of process implementation through Business Process Management Systems (BPMSs); the simulation of processes and their quantitative analysis; the fundamental of process mining, with a particular focus on the automated discovery of processes out of event logs and conformance checking of a process model. All the contents present an interleaving between their theoretical foundations and their practical application through analytical software.

Lernergebnisse (Learning Outcomes)

Successful students will be able to understand and analyse the execution of business processes on IT systems. They will realize the value of data associated to processes and they will acquire the (theoretical and practical) skills to extract value out of it, e.g., they will understand the mechanisms that allow the machine-based discovery of process models out of recorded process executions. They will learn to use commercial tools used in industry for process mining.

Regelung zur Anwesenheit

This course is a PI type.

It is possible to be absent in one class. In case you need to miss more than one class, this must be properly justified. Please promptly contact the instructor.

Students who miss the class are required to engage in self-study to catch up with the contents.


The course is designed as a mixture of lecture with accompanying project assignments.

Both theoretical contents and hands-on sessions will be held. Tools used in the course will include the BIMP process simulator ( and the Celonis Process Mining platform ( All the tools are web services, thus accessible simply via modern web browsers.

Leistung(en) für eine Beurteilung

The final grade is assigned on the basis of the following proportions:
40% - individual assignments
40% - group assignment on process mining
20% - written test


1 Autor/in: Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo A. Reijers

Fundamentals of Business Process Management

Verlag: Springer
Auflage: 2nd
Jahr: 2013
Prüfungsstoff: Ja
Empfehlung: Unbedingt notwendige Studienliteratur für alle Studierenden
Art: Buch
2 Autor/in: Wil M.P. van der Aalst

Process Mining - Data Science in Action

Verlag: Springer
Auflage: 2nd
Jahr: 2016
Prüfungsstoff: Ja
Diplomprüfungsstoff: Ja
Empfehlung: Unbedingt notwendige Studienliteratur für alle Studierenden
Art: Buch

Teilnahmevoraussetzung(en) und Vergabe von Wartelistenplätzen

Participants are expected to be familiar with the content of the course Business Process Management. Generally, it is assumed that the concepts described in Dumas et al.: Fundamentals of Business Process Management, Springer 2013, are understood.

Empfohlene inhaltliche Vorkenntnisse

It is required that the “Process Innovation” course has been already regularly attended, and that the following notions are already acquired:

  • Business Process Management (BPM), its initiative, goals, and life-cycle;
  • business process identification, discovery, analysis, and re-design;
  • business process modelling with BPMN.

Erreichbarkeit des/der Vortragenden

Please contact the lecturer via e-mail to fix an appointment.
Zuletzt bearbeitet: 10.09.2020