Course code INN265

INN265 Analysis of Business Processes

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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
(NO=norsk, EN=Engelsk)
Teaching exam periods:
This course starts in the Autumn parallel. This course has teaching/evaluation in the Autumn parallel.
Course frequency: Annually
First time: Study year 2021-2022
Course contents:

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.

Learning outcome:

Knowledge

  • Know modern frameworks for business process management
  • Understand the theoretical foundations of important process analytics techniques

Skills

  • Be able to model business processes
  • Be able to analyse business processes
  • Be able to identify potentials for process improvement, standardisation and automation

General competence

  • Be able to work cross-functionally with operations management and information systems
  • Be able to contribute constructively in business process management and digitalisation projects
Learning activities:
Video lectures, exercises with data and software, case workshops under supervision, independent group work related to the project assignment
Teaching support:
Canvas, Microsoft Teams
Syllabus:
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
Prerequisites:
MATH100 Introductory mathematicsSTAT100 Statistics or DAT110 Introduction to data analysis and visualisation

Recommended prerequisites:
  • INF120 Programming and data processing
  • BUS240 Operations management or IND210 Industrial management
Assessment:
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.
Nominal workload:
125 hours
Entrance requirements:
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
Examiner:
External examiner will control the quality of syllabus, questions for the examination, and principles for the assessment of the examination answers.
Examination details: :