The aim of the course is to introduce the Internet of Things (IoT) in relation to Digital Business Systems. The overarching objective of IoT in business is to broaden the student's perspective on future and contemporary IT phenomena. Emphasis is invested in relating the contemporary IoT theme to general and selected contexts within Digital Business Systems, such as ERP and supply chain, Digital marketing and Business intelligence.



The student...

  • will be able to understand the concept of the Internet of Things and its impact for business innovation.
  • will be be familiar with the tools and technologies (e.g., RFID, sensors, embedded systems, and smartphones) required to create new business solutions.
  • will be able to show awareness of important contributions from artificial intelligence, privacy issues, business intelligence in order to make devices smart.
  • will be able to be familiar with the design process (from ideation to prototyping) of systems that handle large amounts of data.


The student...

  • will be able to analyse different frameworks for the use of the Internet of Things: Strategic implications, user design and design science, and technical challenges in particular related to form and function.
  • will be able to assess different Internet of Things technologies (e.g., RFID, sensors, mobile devices, smart house, etc.) and their applications.
  • will be able to use alternatives for defining and designing IoT-enabled devices in different ways.


The student...

  • will be able to reflect upon the opportunities within digital marketing for IoT.
  • will be able to synthesize IoT into next generation ERP systems.
  • will be able to appreciate the link between IoT and business intelligence.

Emnet inngår i

Master of Information Systems: Digital Business Systems 


The course is structured in block mode for four weeks. The first two weeks will be a combination of lectures and presentations in class. The two last weeks are for self-study and essay writing.

Anbefalt tidsbruk

Lectures and student guidance: 36 hours 

Self-study: 76 hours Preparation for presentation/discussion in class: 10 hours 

Exercise: 28 hours 

Assessment 50 hours 

Total: 200 hours


Technologies to discussed and presented may offer RFID tags, Bluetooth devices, proximity/touch/temperature/light sensors, smart house kits, or electronic prototyping kits.


Eksamensdel: Skriftlig individuell hjemmeeksamen (essay)

Varighet: Tre uker

Gradering: Nasjonal karakterskala A - F (F er ikke bestått)

Vekting: 75 % av samlet vurdering

Hjelpemidler: Alle hjelpemidler tillatt


Eksamensdel: Skriftlig individuell hjemmeeksamen (teknisk del)

Varighet: Tre uker

Gradering: Nasjonal karakterskala A - F (F er ikke bestått)

Vekting: 25 % av samlet vurdering

Hjelpemidler: Alle hjelpemidler tillatt


See the learning outcome




Updated information on textbooks and other teaching materials is published per programe on our online learning platform before the semester starts. Information is also available per application on our website.

In addition to literature and other teaching material, scheduled teaching and other scheduled learning activities are always part of the syllabus.