Lehrende: Marc Frerichs; Prof. Dr. Markus Nüttgens
Veranstaltungsart: Vorlesung + Übung
Anzeige im Stundenplan: bwl-ma-ba4(C)-wi-pm
Semesterwochenstunden: 3
Credits: 6,0
Unterrichtssprache: Englisch
Min. | Max. Teilnehmerzahl: - | -
Kommentare/ Inhalte: Business Process Management is an interactive, learning factory-oriented course in which students learn the basics of business process modeling, process mining, process analytics, and robotic process automation. The course is supported by educational videos and accompanying digital resources that are available on demand. The course follows the didactic concept "digital first." Thematic focus This module introduces the basic concepts and applications for managing as well as implementing and executing business processes and teaches them exemplarily using relevant techniques, methods, and tools. The starting point is abstract concepts of process maturity models, process life cycle models, process patterns and the integration, management and automation of business processes within and between companies. Based on a value-oriented analysis and planning, a mapping in a consistent process design, a (partially) automated process implementation, and a feedback to the process controlling take place ideally. The technical basis is provided by Enterprise Application Integration (EAI) platforms for end-to-end process integration, building service-oriented architectures, and coordinating and orchestrating web services and workflows. With the consolidation and standardization of basic processes, consistent cooperation of different applications and systems for handling business processes is made possible based on message- and standard-based process integration methods (interoperability). On the one hand, in-depth topics are presented in various learning videos. On the other hand, practice-based learning factories provide the opportunity to also deal independently with a selected sub-topic from this area (as specified by the organizers). Course structure The course is composed of the elements of teaching resources and learning factories and includes virtual face-to-face appointments as well as decentralized individual group work. The course is implemented 100% digitally. The course content’s access data will be communicated to all students registered for the course via STiNE before the first virtual face-to-face appointment. Note for WS2021: Due to the ongoing pandemic, the final exam form cannot yet be communicated conclusively in advance! Website of the course module
