188.924 Workflow Modeling and Process Management
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019S, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Aim of course

After this lecture, students should

  • be able to model and design workflow-centric applications
  • have an in-depth knowledge of the integration of enterprise applications into workflows
  • know how to design process-oriented applications
  • know how to implement processes that can be optimized

Subject of course

First meeting (compulsory attendance): 4.03.20185 pm (EI 2)

In the theoretical part of the course, students will learn the basic concept of workflow modeling. Thereby, the lecture puts a special focus on automated workflows, integrating different kinds of enteprise applications. Furthermore, patterns for designing and modeling enterprise-wide workflows are introduced.

In the practical part of the course, students form groups of five. Each group has to design and implement a process-oriented application. The domain of the application can be freely chosen, however, the respective business processes have to be designed with a tool producing BPMN 2.0 conformant code and under consideration of the learned patterns. Afterwards, the business process models shall be deployed to a workflow engine. Further the respective business logic of the workflow activities has to be implemented, where each member has to implement at least one activity. Finally, each team evaluates its process by letting other groups acting as customers of the process.

Literature: M. Dumas, M. La Rosa, J. Mendling, and H. A. Reijers,  Fundamentals of Business Process Management.  Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.   Available online (from the University network) as a PDF-Ebook. Use VPN to access from home.

Additional information

In case of any questions write an email to wfm@ec.tuwien.ac.at

ECTS Breakdown

  • 10h:  Lecture time
  • 5h: questionnaires
  • 5h: presentations
  • 55h: Group work

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon17:00 - 19:0004.03.2019EI 2 Pichelmayer HS - ETIT Introduction and first lecture (mandatory)
Mon17:00 - 19:0011.03.2019 - 24.06.2019EI 2 Pichelmayer HS - ETIT Alternative
Workflow Modeling and Process Management - Single appointments
DayDateTimeLocationDescription
Mon04.03.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Introduction and first lecture (mandatory)
Mon11.03.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon18.03.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon25.03.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon01.04.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon08.04.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon29.04.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon06.05.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon13.05.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon20.05.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon27.05.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon03.06.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon17.06.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative
Mon24.06.201917:00 - 19:00EI 2 Pichelmayer HS - ETIT Alternative

Examination modalities

  • Internet questionnaires and some tasks
  • Group work
    • description and presentation of a workflow application
    • implementation of workflow
    • implementation of individual activities of this workflow
    • testing the workflows of other teams

Course registration

Begin End Deregistration end
01.02.2019 12:00 05.03.2019 12:00 11.03.2019 12:00

Registration modalities

Mandatory attendance of the preliminary discusssion

Precondition

The student has to be enrolled for at least one of the studies listed below

Curricula

Study CodeObligationSemesterPrecon.Info
066 926 Business Informatics Mandatory
066 937 Software Engineering & Internet Computing Mandatory elective

Literature

No lecture notes are available.

Previous knowledge

Bachelor students must already have passed a minimum of 170 ECTS 

  • Process Modeling
  • Software Engineering
  • Object-oriented Programming (Java)
  • Project Management

Preceding courses

Language

English