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Business Process Modeling, Management and Mining

Description


COURSE OBJECTIVES

This lecture will introduce the students with notations and methodologies for modeling business processes and support their simulation, improvement, mining and execution within process-oriented information systems.

 

COURSE DESCRIPTION
Business Process Management combines knowledge from information technology and management sciences and applies it to the automation, analysis, monitoring and improvement of operational business processes within large and small organizations. Without well-designed and well-defined process models, to be reliably and efficiently executed, organizations are unable to compete and will not survive in modern globalized marketplaces.

 

LEARNING METHODS
It features a mix of theoretical lectures with hands-on tutorials and practical assignments.


 

EXAMINATION INFORMATION
Written exam

 

REFERENCES

  • Mathias Weske: Business Process Management: Concepts, Languages, Architectures, 3rd ed., Springer, 2019, ISBN 978-3-662-59431-5
  • Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo Reijers, Fundamentals of Business Process Management, Springer, 2013, ISBN 978-3-642-33142-8
  • Wil M. P. van der Aalst, Process Mining: Discovery, Conformance and Enhancement of Business Processes, Springer, 2011, ISBN 978-3-642-19344-6

People

 

Pautasso C.

Course director

Additional information

Semester
Spring
Academic year
2020-2021
ECTS
3
Language
English
Education
Master of Science in Informatics, Elective course, Lecture, 1st year
Master of Science in Informatics, Elective course, Lecture, 2nd year
Master of Science in Management and Informatics, Core course, Lecture, 1st year
PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st year (2 ECTS)
PhD programme of the Faculty of Informatics, Elective course, Lecture, 2nd year (2 ECTS)