Syllabus

Titel
1180 Process Implementation
LV-Leiter/innen
Dina Sayed Bayomie Sobh, M.Sc.
Kontakt
  • LV-Typ
    PI
  • Semesterstunden
    2
  • Unterrichtssprache
    Englisch
Anmeldung
18.11.2019 bis 29.11.2019
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Bachelor
Termine
Wochentag Datum Uhrzeit Raum
Dienstag 03.12.2019 10:00 - 13:00 TC.3.06
Donnerstag 05.12.2019 09:30 - 12:30 TC.4.14
Dienstag 10.12.2019 10:00 - 13:00 TC.3.06
Donnerstag 12.12.2019 09:30 - 12:30 TC.4.14
Dienstag 17.12.2019 10:00 - 13:00 TC.3.06
Donnerstag 19.12.2019 09:30 - 12:30 TC.4.14
Dienstag 07.01.2020 10:00 - 13:00 TC.3.12
Dienstag 14.01.2020 09:30 - 11:30 TC.4.15

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

According to the examination regulation full attendance is intended for a PI.

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 modeler and analyzer (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, 2nd edition, Springer 2018, are understood.

Literatur

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

Fundamentals of Business Process Management


Verlag: Springer
Auflage: 2nd
Anmerkungen: http://fundamentals-of-bpm.org/
Jahr: 2018
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 phases;
  • Business process modeling using 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: 29.04.2019



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