Process and Data Modelling (4851)
  
Coordinating lecturer :Prof. dr. Marijke SWENNEN 

Language of instruction : English
Credits: 6,0
  
Period: semester 1 (6sp)
  
2nd Chance Exam1: Yes
  
Final grade2: Numerical
 
Sequentiality
 
   No sequentiality

Prerequisites

The student has adequate understanding (written and oral) of the English language.


Content

This concerns a transition curriculum. No contact sessions are provided. The student is only required to participate in the evaluation.

During this course students will learn the basic methods and components to model data, processes and decisions. Standard language like BPMN and DMN are learned by theory and practices.


Organisational and teaching methods
Organisational methods  
Self-study assignment ✔  


Evaluation

Semester 1 (6,00sp)

Evaluation method
Written exam100 %
Closed-book ✔
Open questions✔

Second examination period

Evaluation second examination opportunity different from first examination opprt
No
 

Compulsory textbooks (bookshop)
  DMN method and style,Bruce Silver,second edition,Cody-Cassidy Press

BPMN Method and Style,Bruce Silver,third,Cody-Cassidy Press,9798218313302
 

Remarks
 

This concerns a transition curriculum. No contact sessions are provided. The student is only required to participate in the evaluation.


Learning outcomes
Master of Management
  •  EC 

    • EC 02: The holder of the degree shows initiative and take responsibility in order to help create value for an organisation. (Self-direction and entrepreneurial spirit)

  •  EC 

    • EC 10: The holder of the degree integrates the perspective of intern and extern stakeholders when making decisions in an organizational context. (Stakeholder awareness)

     

  •  EC 

    • EC 11: The holder of the degree formulates proposals for the improvement of business processes in an international context, taking into account the broader societal framework in which businesses operate, including environmental factors and relevant stakeholders. (Stakeholder awareness)

     

  •  EC 

    • EC 13: The holder of the degree is able to formulate, analyze, and answer complex management issues within a VUCA world from a systems perspective, providing innovative and scientifically grounded recommendations using strategic and conceptual perspectives.

     

  •  EC 

    • EC 15: The holder of the degree is able to formulate strategic solutions to create organizational value. (Programme specific competences)

     

 
  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Offered inTolerance3
Exchange Programme Business Economics J
Master of Management Data Science J



1   Education, Examination and Legal Position Regulations art.12.2, section 2.
2   Education, Examination and Legal Position Regulations art.15.1, section 3.
3   Education, Examination and Legal Position Regulations art.16.9, section 2.