Facts about the course

ECTS Credits:
Responsible department:
Faculty of Logistics
Course Leader:
Joao Carlos Amaro Ferreira
Lecture Semester:
Teaching language:
½ year

IBE405N Cyber-physical Systems and Smart Cities (net course) (Autumn 2021)

About the course

Cyber-physical systems combines digital and physical worlds in seamless information infrastructures, which distribute and refine data from sensors into decision support systems and back out into semi- or fully automated dialogue with other stakeholders or technical actuators.

Smart cities are places to live that implement UNs global objectives to combine social, economic, and environmental sustainability.

In this course, cases and projects from pertaining local and international smart city-projects are used as a point of departure for experimental programming with sensors and simulators. It also covers theories of smart cities, complex infrastructures, global networks an Internet of Things (IoT), as well as the impact of future enabling technologies. 

The course is connected to the following study programs

  • Individual Study Courses/Part- time studies
  • Nettilbud for permitterte og arbeidsledige

Reduction of Credits

This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:

Course Reduction of Credits
IBE405 – Cyber-physical Systems and Smart Cities 7.5

The student's learning outcomes after completing the course


Having passed this course, the student will know the latest trends and the importance of IT and digitalization in the design of modern and future-oriented infrastructures for living environment and labor market.  This entails the development of environmentally friendly and sustainable mobility, electric and autonomous transport, necessary infrastructures for sensors, actuators, and energy distribution, which overall contributes to smart cities.

Students will also have detailed knowledge of smart city projects of many different types, including how they may be modelled in digital twin software solutions. They will be familiar with IoT-programming, from the development of use cases to technical experiments in a team setting at a distributed lab.


Students shall know how to create algorithms for collecting data, analysis, visualization, and distribution of data using a sensor architecture they have developed. Data may be moved to a bus/hub/node-architecture to make the data readily available for other stakeholders.

Programming will be in Python and after the course, the students will be familiar with the relevant programming language extensions and libraries and know how to use them for smart city purposes. Maps and geographic information representation will be performed with industry-leader approaches and suitable software.

General competencies

Students will have knowledge of future trends of IoT and smart cities architecture and be able to apply them to technical development projects. 


Vurderingsform: Skriftlig prosjektoppgave

  • Andel: 60%

  • Varighet: Oppstart: 22/9-2021. Innleversingsfrist: 24/11-2021.

  • Gruppering: Gruppe

  • Karakterskala: Bokstavkarakter

  • Kommentar: Prosjektoppgave

Vurderingsform: Digital hjemmeeksamen - Inspera

  • Andel: 40%

  • Varighet: 1 Time

  • Gruppering: Individuell

  • Karakterskala: Bokstavkarakter

  • Hjelpemidler:



Last updated from FS (Common Student System) Dec. 5, 2021 5:20:21 PM