Advances in BPM Research (Wintersemester 2023/2024)
Dozent:
Prof. Dr. Mathias Weske
(Business Process Technology)
,
Maximilian König
(Business Process Technology)
Allgemeine Information
- Semesterwochenstunden: 4
- ECTS: 6
- Benotet:
Ja
- Einschreibefrist: 01.10.2023 - 31.10.2023
- Prüfungszeitpunkt §9 (4) BAMA-O: 05.12.2023
- Lehrform: Seminar / Projekt
- Belegungsart: Wahlpflichtmodul
- Lehrsprache: Englisch
Studiengänge, Modulgruppen & Module
- BPET: Business Process & Enterprise Technologies
- HPI-BPET-K Konzepte und Methoden
- BPET: Business Process & Enterprise Technologies
- HPI-BPET-S Spezialisierung
- BPET: Business Process & Enterprise Technologies
- HPI-BPET-T Techniken und Werkzeuge
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
- CODS: Complex Data Systems
- HPI-CODS-K Konzepte und Methoden
- CODS: Complex Data Systems
- HPI-CODS-T Techniken und Werkzeuge
- CODS: Complex Data Systems
- HPI-CODS-S Spezialisierung
- DAPP: Data Applications
- HPI-DAPP-K Konzepte und Werkzeuge
- DAPP: Data Applications
- HPI-DAPP-T Techniken und Werkzeuge
- DAPP: Data Applications
- HPI-DAPP-S Spezialisierung
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-S Specialization
- HPI-SSE-S Systems Foundations
- SSYS: Software Systems
- HPI-SSYS-C Concepts and Methods
- SSYS: Software Systems
- HPI-SSYS-T Technologies and Tools
- DSYS: Data-Driven Systems
- HPI-DSYS-C Concepts and Methods
- DSYS: Data-Driven Systems
- HPI-DSYS-T Technologies and Tools
- MODA: Models and Algorithms
- HPI-MODA-C Concepts and Methods
- MODA: Models and Algorithms
- HPI-MODA-T Technologies and Tools
Beschreibung
Moodle course: https://moodle.hpi.de/course/view.php?id=686
Key: aibr23
This seminar focuses on state-of-the-art research topics that are currently worked on in business process management. Among the covered research areas are:
- Robotic Process Automation
- Process Choreographies
- Flexible Business Processes
- Process Mining
- Data in Business Processes
Throughout the semester, students will:
- work on recent scientific literature,
- devise an approach to address a chosen research question,
- give two presentations on their progress,
- write a scientific paper on the results of their work,
- and participate in the discussions of their peer's presentations.
What you will learn:
- How to come up with and evaluate research ideas.
- How to approach these ideas in a structured way.
- How to give scientific presentations.
- How to write scientific papers.
- ...
Voraussetzungen
This seminar is for master students who are familiar with business process management and who would like to address current research challenges in the field. Ideally, participants have already taken the course on Business Process Intelligence, or Process-oriented Information Systems in their Bachelors.
Literatur
Relevant papers will be distributed individually depending on the chosen topic of each student (group).
Lern- und Lehrformen
After choosing their topic, students will work on it autonomously, accompanied by regular meetings with their supervisor. The concrete topics will be presented in the kick-off meeting.
Leistungserfassung
The final grade of the seminar will be composed of the following:
- Intermediate presentation
- Final presentation
- Research paper (+ prototype)
- Review of a peer's research paper
Termine
Kick-off Meeting: Tuesday, 17.10.2023, 9:15, A-2.1
Further appointments will be announced in the kick-off meeting.
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