Semester:WS 17/18
Art:Modul
Sprache:Englisch
ECTS-Credits:6.0
Plansemester:3
Lektionen / Semester:56.0 L / 52.5 h
Selbststudium:127.5 h
Art:Modul
Sprache:Englisch
ECTS-Credits:6.0
Plansemester:3
Lektionen / Semester:56.0 L / 52.5 h
Selbststudium:127.5 h
Modulleitung/Dozierende
- Prof. Dr. Stefan Seidel
(Modulleitung)
- Sandra Beyer, MA
(Modulleitungsassistenz)
Studiengang
Masterstudium Information Systems (01.09.2015)Lehrveranstaltungen
Beschreibung
Short description
The course covers conceptual foundations, methods, and technologies for implementing and managing business processes with the help of IT. In particular, students will learn how to automate and monitor software-based business processes and mine process execution logs.
Topics
- Foundations of process automation
- Workflow management systems (e.g., YAWL)
- Process mining (e.g., ProM)
Lernergebnisse
Learning objectives
- Students know and understand foundational concepts and methods of process automation (workflow management)
- Students know and understand foundational concepts and methods of process mining
- Students design and develop executable business processes
- Students apply analytical techniques to mine business process logs
Kompetenzen
Lehrmethoden
- The module integrates theoretical knowledge and practical skills based on an interactive lecture.
- The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Literatur
Compulsory reading
- Dumas, M., La Rosa, M., Mendling, J., Reijers, H. (2013). Fundamentals of Business Process Management. Berlin: Springer.
- Russell, N., Van Der Aalst, W., Ter Hofstede, A. (2016): Workflow Patterns: The Definitive Guide. Cambridge, MIT Press.
Further reading
- Ter Hofstede, A., Van der Aalst, W., Adams, M., Russell, N. (2010). Modern Business Process Automation. Berlin: Springer.
- Van der Aalst, W. (2011). Process Mining: Discovery, Conformance and Enhancement of Business Processes. Berlin: Springer.
Prüfungsmodalitäten
Written exam (90min)