Modern organizations have to take an interdisciplinary approach to efficiently process data, information and knowledge, which, in turn, influence all functional areas of a business and sustain competitive advantage. As a result, information technology and business have become inextricably interwoven. Learning to identify and formulate the requirements of information systems and engaging in process optimization will be particularly important for graduates of economic science disciplines over the course of their career.

This course is designed to provide students with an integrated view of key concepts and tools related to modeling business processes based on the ARIS framework.

ARIS (Architecture of Integrated Information Systems) is an integration concept developed from A.-W. Scheer comprising a holistic view of business processes. In ARIS, the complexity of business processes is reduced by their decomposition in views (organizational, functional, data, control and product/service) and their description on different levels of abstraction. In this course, we will treat all views, but only at the top level of abstraction (requirements definition).

In order to bring the theory closer to the subject, concrete models will be drawn using software tools.

The focus of the course is on business process modeling and data modeling. Process modeling will be done by means of Event-Driven Process Chain (EPC) and Business Process Modeling Notation (BPMN) techniques.

• This is a course with continuous assessment (PI), therefore an overall attendance of at least 80% is required.
• If there is an important reason for the absence (e.g. illness confirmed by a medical certificate), the student can miss maximally 2 out of 10 units.
• Unexcused absence in the first half an hour of the first unit leads to the loss of place in this course!

• Homework (20%)
• Written exam (40%)
• Project work (40%)

       Grading Scale

• Up to 50% (unsatisfactory)
• Up to 62,5% (sufficient)
• Up to 75% (satisfactory)
• Up to 87,5% (good)
• Over 87,5% (excellent)

Expected workload:

• 2 semester hours per week = 4 ECTS Credits = 100 hours workload for each student.