Business Process Modeling, Management and Mining

UNIVERSITÀ DELLA SVIZZERA ITALIANA
A Mendrisio (Svizzera)

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  • Corso
  • Mendrisio (Svizzera)
Descrizione

Descrizione 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. This lecture will introduce the students with notations and methodologies for modeling business processes and support their execution within process-oriented information systems. To do so, students will become familiar with modern technologies for automated workflow management and process mining.

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Mendrisio
Tessin, Svizzera
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Programma

Descrizione

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. This lecture will introduce the students with notations and methodologies for modeling business processes and support their execution within process-oriented information systems. To do so, students will become familiar with modern technologies for automated workflow management and process mining.

REFERENCES

  • Mathias Weske: Business Process Management: Concepts, Languages, Architectures, 2nd ed., Springer, 2012, ISBN 978-3-642-28615-5
  • 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


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