Introduction to IoT Infrastructures

  • Credits 2.5 credits
  • Study location Independent of location
  • $stringTranslations.StartDate 2021-10-04 - 2021-12-12 (part time 17%)
  • Education ordinance Second cycle
  • Course code DVA480
  • Main area Computer Science

This course provides a fundamental knowledge of IoT, targeting physical devices, communication and computation infrastructure. The course gives theoretical knowledge as well as hands-on experiences to build an IoT application.

About this course

Internet of Things (IoT) refers to the concept of connecting physical devices all around the world. The “thing” can refer to any device in the range from a simple sensor to a more sophisticated device such as a smartphone. From the industrial perspective, experts believe that by 2020 more than half of the businesses will integrate IoT.

This course focuses on fundamental aspects of IoT infrastructures. The goal is to provide knowledge and skills needed to build Internet of Things systems, going beyond traditional Embedded Systems courses; introducing a conceptual framework that embraces automation, communication and new forms of computing like Cloud and Fog/Edge.

The IoT World Forum proposes a seven-layer reference model for IoT, from physical devices in the first layer up to business process layer on the top. This course focuses only on the first three layers, including physical devices and controllers; connectivity; and computing layers.

  • The course is fully online and there is no physical lecture, even for the examination
  • The course is flexible in a sense that you can read the course material within the course duration in your pace, although we have a recommendation as well
  • The assignments are available from the beginning for those who have some backgrounds in the topic, although the grades will come at the end of the course
  • The project work in this course has a flexibility to chose among topics with different platforms, e.g., you can chose to do on a real raspberry pi or on simulation
  • The course pace is 17% which makes it easy for those who have less time to put on the course

Entry requirements

  • 100 credits where 60 credits in computer science and/or electronics and 7.5 credits in programming.
  • In addition English course A/English course 6 is required.

You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc.

Course title in Swedish

Introduktion till infrastrukturer för IoT




The course is given in the autumn semester. Application opens mid-March.


Senior Lecturer

Mohammad Ashjaei



Course syllabus

You can read in detail about the course, it's content and literature and so on in the course syllabus

See course syllabus

Apply to the course

Introduction to IoT infrastructures

Go to application

Application information

After submitting your electronic application, the next step is to submit documentation to demonstrate your eligibility for the course you have applied for. In order to document your eligibility, you must provide your high school diploma and university transcript and proof of your English language proficiency.

Entry requirements

To meet the entry requirements for this course you need to have previous academic qualifications (university studies). You will find the specific entry requirements above.

No academic qualifications?

If you do not have the formal academic qualifications needed for a specific course, you can apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc. This is also known as a validation of prior learning.

Recognition of prior learning means the mapping out and assessment of an individual's competence and qualifications, regardless how, where or when they were acquired – in the formal education system or in some other way in Sweden or abroad, just recently or a long time ago.

If you think your knowledge and competences will qualify you for this course, you will need to upload th following with your application:

  • CV with description of your educational and professional background. Your CV must describe your knowledge and competences in relation to the entry requirements.
  • If you refer to work experience, you need to upload an Employers certificate.

If we need more information, we will contact you.


The courses are part of the FutureE project where MDH offers online courses in the areas of AI, Environmental and Energy Engineering, Software and Computer Systems Engineering.

For companies that want to collaborate on competence development
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