Hochschule Darmstadt - Fb Informatik

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Modulbeschreibung
Module:Business Process Engineering
Module numbers:41.4824 [PVL 41.4825; Module 41.48240]
Language:english
Study programme:Dualer Master 2013 - Katalog AS: Anwendungs- und systemorientierte Module
Dualer Master 2013 - Vertiefung WI: Wirtschaftsinformatik
JIM 2013 - Elective Catalogue J
Master 2013 - Katalog AS: Anwendungs- und systemorientierte Module
Master 2013 - Vertiefung WI: Wirtschaftsinformatik
JIM 2006 - Courses
Master 2006 - Katalog AS: Anwendungs- und systemorientierte Module
Master 2006 - Vertiefung AE: Application Engineering
Master 2006 - Vertiefung TK: Telekommunikation
Master 2006 - Vertiefung WI: Wirtschaftsinformatik
MN Data Science 2016 - Katalog M-I_I: Allgemeine Wahlpflicht Informatik
Type of course:V+P = Lecture+Practical
Weekly hours:2+2
Credit Points:6
Exam:written exam
Registering for examexplicitly and independent of booking
PVL (e.g. Practical):graded (graded intermediate exams, graded implementations (incl. presentation of results))
PVL percentage:30%
Frequency of offering:each summer semester (lastly in SS 2019)
Required knowledge:Basic knowledge of business administration at least to the extent of the Bachelor compulsory lecture is required.
Learning objectives:The students shall
  • Learn basic concepts of process oriented organizations
  • Understand scenarios of use of information technology in process oriented organizations
  • Understand the role of business process engineering as the linking element between enterprise strategy and technical implementation in IT-systems
  • Understand the role of business process engineering to foster the competitiveness of enterprises
  • Analysis, Modelling and Evaluation of business processes
  • Knowing reference process models for process oriented organizations
  • Knowing alternative implementation approaches for business process engineering (e.g. classical reengineering versus evolutionary approaches)
  • Knowing typical leverage points for business process engineering
  • Knowing and hands-on training experience for implementing process oriented business models in modern IT-systems
  • Introduction to writing scientific assignments
  • Introduction and hands-on experience with presenting a scientific assignement in front of a class-room situation
Content:Overview and goals of Business Process Engineering (functional-oriented vs. process-oriented)
  • Business modelling in software development projects
  • Notations & approaches (e.g. BPMN, BPEL, eEPKs, Petri nets, XPDL/WfMC)
  • Analysis and simulation of business processes
  • Business Process Management as an ongoing organisational process
  • Sample business processes with different focus (e.g. ERP, Supply-Chain, CRM)
  • Process integration techniques & architectures (e.g. WebServices, SOA)
  • Process modelling tools (e.g. BizAgi, ARIS)
  • Business Process Engineering in practice
  • Business Process Engineering (strategic) vs. Workflow Design (operational)
Literature:In addition to the mentioned standard literature: special literature depending on the current topic of the assignment (e.g. literature on Enterprise Mashups, Business Process Maturity Models, Human Interaction in Business Processes)
Lecture style / Teaching aids:Lecture with integrated practical course; scientific papers with practical part (implementations); conference articles, articles from tool manufacturers; case studies on the topic "Business Process Engineering".
Responsibility:Urs Andelfinger
Released:WS 2013/2014
Offered in SS 19:Andelfinger / Bühler
Professional competencies:
  • formal, algorithmic, mathematical competencies: medium
  • analytical, design and implementation competencies: high
  • technological competencies: medium (Exemplarischer Einsatz von Geschäftsprozess-Modellierungswerkzeugen (derzeit BizAgi Process Modeler), Exemplarischer Einsatz von Geschäftsprozess-Software-Lösungen (derzeit Oracle Business Process Suite sowie ggf. weiterer aktueller Werkzeuge) anhand einer durchgängigen Aufgabenstellung)
  • capability for scientific work: medium
Interdisciplinary competencies:
  • project related competencies: low
  • interdisciplinary expertise: basic technical and natural scientific competence, basic economic competence
  • social and self-competencies: analytical competence, judging competence, deciding competence, competence of knowledge acquisition, presentational, documentary, teaching and mentoring competence, fluency

[Fachbereich Informatik] [Hochschule Darmstadt]
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