Syllabus

Titel
1086 Process Implementation
LV-Leiter/innen
Dr. Claudio Di Ciccio, M.Sc.
Kontakt
  • LV-Typ
    PI
  • Semesterstunden
    2
  • Unterrichtssprache
    Englisch
Anmeldung
04.09.2018 bis 24.11.2018
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Bachelor
Termine
Wochentag Datum Uhrzeit Raum
Dienstag 27.11.2018 09:00 - 11:30 TC.5.04
Donnerstag 29.11.2018 09:00 - 11:30 D2.0.374
Mittwoch 05.12.2018 09:00 - 11:30 D2.0.030
Freitag 07.12.2018 09:00 - 11:30 D2.0.392
Montag 10.12.2018 09:00 - 11:30 D2.0.382
Mittwoch 12.12.2018 09:00 - 11:30 TC.3.06
Montag 17.12.2018 09:00 - 11:30 D2.0.030
Donnerstag 20.12.2018 09:00 - 11:30 D2.0.374
Donnerstag 10.01.2019 09:00 - 11:30 TC.0.02 Red Bull

Inhalte der LV

The course covers the main concepts spanning over the topics of business process automation 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

Since this is a courses with continuous assessment (PI), attendance is mandatory according to the standard regulations that can be read in dedicated page on the university website. Notice in particular that the written exam will take place during the last class. Therefore, absence is allowed for at most two lectures.

Lehr-/Lerndesign

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 Bonita Business Process Management System (https://www.bonitasoft.com), the WoPeD workflow and Petri net modeller and analyser (http://woped.dhbw-karlsruhe.de/woped/), the ProM process mining toolkit (http://www.promtools.org), and Celonis process mining platform (https://www.celonis.com/).

A Virtual Machine based on the VirtualBox platform (https://www.virtualbox.org/) 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.

Literatur

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

Verlag: Springer
Anmerkungen: http://fundamentals-of-bpm.org/
Jahr: 2013
2 Autor/in: Wil M.P. van der Aalst
Titel: Process Mining - Data Science in Action

Verlag: Springer
Auflage: 2nd
Jahr: 2016

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: 21.06.2018



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