Modulcode:	infAPM-01a
Englische Bezeichnung:	Advanced Process Mining
Modulverantwortliche(r):	Prof. Dr. Agnes Koschmider
Turnus:	unregelmäßig (SS20 SS21 SS22)
Präsenzzeiten:	2V 2Ü
ECTS:	6
Workload:	30 h lectures, 30 h exercises, 120 h self studies
Dauer:	ein Semester
Modulkategorien:	MSc-Inf-WP (MSc Inf (21)) 2F-MEd-Inf-WP (MEd-Hdl Inf (21)) 2F-MA-Inf-WP (2F-MA Inf (21)) MSc-WInf-WP-WInf (MSc WInf (21)) WI (MSc Inf (15)) WWi (MSc WInf (15))
Lehrsprache:	Englisch
Voraussetzungen:

Kurzfassung:

In recent years many process mining algorithms have been developed and several process mining techniques have been successfully transferred into commercial applications. To fuel novel use cases based on event log analysis, several techniques require adoption. The intention of this course is to discuss scientific papers addressing solutions paving the way for novel use cases based on event log analysis.

Lernziele:

The students

• understand advanced process mining techniques and can apply them in practice
• understand shortcomings of process mining techniques
• capture future directions of process mining

Lehrinhalte:

• scalable process discovery
• event-activity correlation
• clustering techniques for event logs
• predictive performance monitoring
• noise and incompleteness in process mining
• quality of discovered models
• process mining for python

Weitere Voraussetzungen:

course Process Mining (offered in winter semester).

To participate in the exam, students are required to fulfil an assignment during the semester. Details will be announced in the course and in OLAT. For a successful participation in this course, it is strongly advised to have advanced knowledge in process mining. Participation in the course Process Mining offered in the winter term is highly recommended.

Prüfungsleistung:

Written exam at the end of the course. To participate in the exam, students are required to fulfil an assignment during the semester. Details will be announced in the course and in OLAT.

Lehr- und Lernmethoden:

Verwendbarkeit:

Literatur:

Literature will be announced in the course.

Verweise:

Kommentar: