Course code INN350

INN350 Digitalisation and Control of Business Processes

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Showing course contents for the educational year starting in 2020 .

Course responsible: Joachim Scholderer
ECTS credits: 10
Faculty: School of Economics and Business
Teaching language: EN, NO
(NO=norsk, EN=Engelsk)
Teaching exam periods:
This course starts in the Autumn parallel. This course has teaching and evaluation in the Autumn parallel.
Course frequency: Annually
First time: 2017H
Last time: 2021H
Course contents:

Digitalisation is the strongest force in our current business environment: the streamlining, standardisation and automation of business processes, often accompanied by restructuring and downsizing of the organisation. The course will provide participants with the knowledge, skills and general competences to manage business processes and lead digital transformation projects. The course will consist of five parts:

  • Principles of successful digitalisation,
  • Analysing business processes and identifying digitalisation opportunities,
  • Planning and implementing digital transformation projects,
  • Assessing and managing risk in digitalisation projects,
  • Digital leadership.

Participants will use classical and modern analytics approaches (statistical process control, simulation techniques, process mining) and become familiar with formal process modelling languages (BPMN).

Hands-on work on real and current cases is a key part of the course. Participants will work in teams    on a semester-long case project, organised in close cooperation with major international businesses.

Learning outcome:


  • Understand which technological and leadership capabilities are required in modern digitalised businesses,
  • Be familiar with modern business process management frameworks,
  • Understand the theoretical foundations of process analytics techniques such as statistical process control and process mining,
  • Know important success factors in digital transformation projects.


  • Be able to analyse the variability and assess the capability of business processes and identify potentials for process improvement and automation,
  • Know how to measure and benchmark digital capabilities and digital leadership in an organisation,
  • Be able to plan, lead and implement digitalisation projects in established businesses and new business development contexts,
  • Be able to analyse and manage risks in digital transformation projects.

General competence:

  • Be able to plan, implement, monitor and evaluate projects,
  • Understand the interdependencies between the social and technical systems in an organisation,
  • Be able to work in cross-functional project structures,
  • Understand and manage ethical and regulatory issues in digital business contexts.
Learning activities:

Lectures, workshops under supervision, flipped classroom activities, assignments and independent teamwork related to the semester-long case project.



Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2018). Fundamentals of business process management (2nd Ed.). Berlin: Springer.

Levinson, W. A. (2011). Statistical process control for real-world applications. Boca Raton, FL: CRC.

Valacich, J.S., & George, J.F. (2015). Modern systems analysis and design (8th Ed.). London: Pearson.

In addition, the readings will include a selection of journal articles and case studies. The more tool-oriented parts of the course programme will be supported by online tutorials. Details will be announced on the Canvas page of the course at the beginning of the semester.

MATH100 Introductory mathematics or ECN102 Introduction to mathematics for economists; STAT100 Statistics; BUS240 Operations management or IND210 Industrial management
Recommended prerequisites:
INF120 Programming and data processing; BUS350 Introduction to data analytics or INF230 Data processing and analysis; BUS230 Operations research; IND230 Quality management; STAT200 Regression analysis or ECN201 Econometrics
Mandatory activity:
Continuous exam, consisting of one project assignment conducted in groups of four participants (weight: 60%) and two individual multiple-choice tests (weight: 20% each). No re-sit examination will be arranged in this course.
Nominal workload:
300 hours. This is a very work-intensive course. 
Entrance requirements:
3rd year (bachelor) or higher
Type of course:
Four lecture hours per week (September-December). In addition, intensive case work in project teams.
The course is in English if there are one or more international students. Incoming students can contact student advisors at the School of Economics and Business ( for admission to the course. 
External examiner will control the quality of syllabus, questions for the final examination, and principles for the assessment of the examination answers.
Examination details: Continuous exam: A - E / F