ADSE1310 Internet of Things Course description

Course name in Norwegian
Internet of Things
Study programme
Bachelorstudium i ingeniørfag - data / Bachelorstudium i informasjonsteknologi / Bachelorstudium i anvendt datateknologi
Year of study
Course history


In this course, the students will gain an understanding of some of the most important principles of the Internet of Things (IoT). IoT enables the development of unique, innovative products and services. The students will become familiar with architecture and intelligent algorithms that govern IoT and pervasive computing. The goal of the course is to give the students an overall understanding of IoT: from a technical point of view - and in relation to the consequences for society (for example privacy preservation, security) - when billions (or trillions) of units communicate with each other in ‘the cloud’.

Recommended preliminary courses

The course builds on the computer science courses from the first semester.

Required preliminary courses

No requirements over and above the admission requirements.

Learning outcomes

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:


The student

  • has a basic technical understanding of the functioning of Internet and computer networks
  • has an overview of the most important principles in pervasive computing, and the Internet of Things, which include wearable devices, context aware computing, health monitoring, smart houses, crowd sensing, smart grids and ambient intelligence
  • understands the basic technical principles behind different algorithms for autonomous control in the Internet of Things
  • has an understanding of how the Internet of Things and pervasive computing affect security and the protection of privacy in our society
  • has good knowledge of the scientific advances and technology leaps that  enabled the Internet of Things


The student

  • masters basic concepts and has an overview of algorithms used on the internet and in data communication
  • is capable of conceptualising architecture for solutions based on the Internet of Things and pervasive computing                   

General competence

The student

  • is capable of designing solutions based on the principles behind the Internet of Things and pervasive computing

Teaching and learning methods

Lectures and supervisory sessions. The students work individually.

Course requirements

The following coursework is compulsory and must be approved before the student can take the exam:

  • Three compulsory assignments. Each assignment corresponds to 30 hours’ work.

The deadlines for submitting the compulsory assignments and other details are stipulated in the teaching plan made available at the start of the semester.


Portfolie exam.

The portfolio consist of different parts over a period of three months. All parts of the portfolie must be passed in order to pass the course.

The portfolie will be graded overall.

The exam result can be appealed

Permitted exam materials and equipment

All aids are allowed as long as the rules for source referencing are followed.

Grading scale

Grade scale A-F.


One examiner. The course may be selected for grading by external examiners.