Process Mining

Modulnummer: Q05-05
Englischer Titel: Process Mining
Leistungspunkte: 5
Lehrperson: Weidlich

Empfohlene Vorkenntnisse

Modellierung und Spezifikation

Zwingende Voraussetzungen

Keine

Inhalt

One emerging branch of data science is process mining. In the field of process automation, process mining aims at deriving qualitative and quantitative insights on the execution of a process based on recorded events logs.

In the first part of the course, lectures and recitations will focus on the formal foundations and basic techniques of process mining. That includes algorithms for process discovery (constructing models from event data), conformance checking (identifying deviations between models and event data), and model extension (enriching models based on event data). The recitations will include a tutorial in which the students are exposed to real-world data and process mining tools.

The second part of the course will be organised as a seminar. Each student will be asked to read a recent research paper on process mining (selection from a given list) and give a critical assessment of the approach presented in the paper in the form of a 45min presentation.

The course will be given in English unless all students unanimously vote for German as the teaching language in the first lecture.

Erforderliche Arbeitsleistungen für LP-Vergabe und Prüfungszulassung

- each student will be required to give a presentation (45min) on a research paper in the second part of the course

Lehrveranstaltungen

Vorlesung: 2 SWS
Übung: 2 SWS

Zugeordneter Vertiefungsschwerpunkt

Algorithmen und Modelle: nein
Modellbasierte Systementwicklung: nein
Daten- und Wissensmanagement: ja
Ohne Vertiefungsschwerpunkt: nein

Sprache im Modul

Deutsch: nein
Englisch: ja

Angeboten für Studiengänge

M. Sc.: ja
M. Ed.: ja
Wirtschaftsmaster: ja

Angeboten im

Wintersemester: ja
Sommersemester: nein

Turnus

Jedes Jahr