1013 Process Implementation
Dott.mag. Alessio Cecconi
  • LV-Typ
  • Semesterstunden
  • Unterrichtssprache
18.11.2019 bis 29.11.2019
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Bachelor
Wochentag Datum Uhrzeit Raum
Dienstag 03.12.2019 12:00 - 15:00 D3.0.222
Donnerstag 05.12.2019 14:00 - 17:00 TC.3.12
Dienstag 10.12.2019 14:30 - 17:30 D2.0.342 Teacher Training Raum
Donnerstag 12.12.2019 14:00 - 17:00 TC.3.09
Dienstag 17.12.2019 14:00 - 17:00 TC.4.12
Dienstag 14.01.2020 14:30 - 17:30 TC.5.04
Donnerstag 16.01.2020 14:00 - 17:00 TC.4.16
Dienstag 21.01.2020 14:00 - 16:00 D3.0.225

Inhalte der LV

The course covers the main concepts spanning over the topics of business process implementation and process mining. The treated arguments pertain: the characteristics and functionalities of Business Process Management Systems (BPMSs); the implementation, deployment and execution of business process models on BPMSs; the formal notions and fundamental properties of the executable semantics of models grounded in Petri nets; the fundamental algorithms of process mining, with a particular focus on the automated discovery of processes out of event logs.

Lernergebnisse (Learning Outcomes)

Successful students will be able to put business process models into action by their enactment through IT systems. Furthermore, they will understand
the mechanisms that allow the machine-based discovery of process models out of recorded process executions.

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 BonitaSoft Business Process Management System and modeller (, the WoPeD workflow and Petri net modeller and analyser (, the ProM process mining toolkit (, and Celonis process mining platform (

A Virtual Machine based on the VirtualBox platform ( will be distributed with all the necessary software pre-installed.

Leistung(en) für eine Beurteilung

The final grade is assigned on the basis of the following proportions:
60% - written exam
20% - group assignment on process implementation
20% - group assignment on process mining

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.


1 Autor/in: Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo A. Reijers
Titel: Fundamentals of Business Process Management

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

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.

Basic notions of set theory are recommended.

Erreichbarkeit des/der Vortragenden

Please contact the lecturer via e-mail to fix an appointment.
Zuletzt bearbeitet: 03.12.2019