INN265 Analysis of Business Processes
There may be changes to the course due to to corona restrictions. See Canvas and StudentWeb for info.
Showing course contents for the educational year 2021 - 2022 .
Course responsible: Joachim Scholderer
Teachers: Hendrik Winzer
ECTS credits: 5
Faculty: School of Economics and Business
Teaching language: EN
Teaching exam periods:
This course starts in the Autumn parallel. This course has teaching/evaluation in the Autumn parallel.
Course frequency: Annually
First time: 2021H
An organisation can be understood as a system of business processes. In this course, participants will learn to describe business processes, analyse the efficiency of business processes, and how business processes can be improved, standardised and automated.
The course takes a data-driven approach. We will work with event log data from ERP, CRM and SCM systems.
- Introduction to business process management
- Modelling business processes in BPMN: Tasks/activities, events, resources, objects and timestamps
- Data structures: Event log data and the XES standard
- Process mining: Analysis of event log data in Celonis, Python (pm4py) and R (bupaR)
- Structure-based KPIs: Variants and their distribution
- Time-based KPIs: Waiting time, processing time, throughput time
- Resource-based KPIs: Involvement, specialisation, degree of utilisation
- Process improvement
- Process standardisation
- Process automation
Practical work with real cases is an important part of the course. Participants will work in groups on a semester-long project assignment.
- Know modern frameworks for business process management
- Understand the theoretical foundations of important process analytics techniques
- Be able to model business processes
- Be able to analyse business processes
- Be able to identify potentials for process improvement, standardisation and automation
- Be able to work cross-functionally with operations management and information systems
- Be able to contribute constructively in business process management and digitalisation projects
Video lectures, exercises with data and software, case workshops under supervision, independent group work related to the project assignment
Canvas, Microsoft Teams
Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2018). Fundamentals of business process management (2nd Ed.). Berlin: Springer.Selected journal articles and book chapters
- INF120 Programming and data processing
- BUS240 Operations management or IND210 Industrial management
Portfolio assessment , consisting of an individual midway home exam (weight. 50%) and a project assignment conducted in groups of four participants (weight: 50%). No re-sit examination will be arranged in this course.
Minimum requirements for entrance to higher education in Norway (generell studiekompetanse)
Reduction of credits:
- INN350 (5 ECTS)
- VU-INN260F (2 ECTS)
Type of course:
- Video lectures and case workshops: 20 hours
- Exercises with data and software: 5 hours
- Project assignment: 50 hours
- Self-study/syllabus literature: 50 hours
External examiner will control the quality of syllabus, questions for the examination, and principles for the assessment of the examination answers.
Examination details: Portfolio: A - E / F