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IK1332 Internet of Things 7.5 credits

Administer About course

Students of the course gets a broad introduction to the technology and use of internet of things.

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Spring 2026 Start 13 Jan 2026 programme students

Course location

KTH Campus

Duration
13 Jan 2026 - 13 Mar 2026
Periods
P3 (7.5 hp)
Pace of study

50%

Application code

60367

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Min: 25

Target group

Open to all programmes as long as it can be included in your programme.

Planned modular schedule
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Schedule
Schedule is not published

Contact

Examiner
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Course coordinator
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Teachers
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Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus IK1332 (Autumn 2021–)
Headings with content from the Course syllabus IK1332 (Autumn 2021–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • System architecture for IoT and associated business models.
  • Infrastructure for IoT: LoRa-Wan, 6LoWPAN, 5G and SigFox.
  • Operating systems and programming environments for embedded units, for example, Linux, TinyOS and Contiki.
  • Application protocols for the transfer of sensor data, for example, MQTT and CoAP.
  • Application areas and associated system requirements.
  • Sustainability, safety, privacy, energy, and ethics concerning IoT systems.

Intended learning outcomes

Having passed the course, the student should be able to:

  • describe at a general level system architectures for different existing technologies for the Internet of Things (IoT)
  • describe communications protocols related to IoT and machine to machine communication (M2M)
  • explain how the network layer supports IoT systems
  • configure and design IoT services with existing technologies
  • from a broad perspective explain challenges concerning sustainability, safety, integrity, and ethics for IoT technology.

For the highest grade the student should also be able to:

  • explain the structure of system architecture and the life cycle for different existing technologies for IoT
  • solve general resource allocation problems concerning IoT networks
  • compare different communications protocols related to IoT and machine to machine communication
  • analyse performance and reliability for existing IoT systems
  • analyse IoT systems with regard to sustainability, safety, integrity, and ethics.

Literature and preparations

Specific prerequisites

  • Completed course IK1203 Networks and communication 7.5 credits, or an equivalent.
  • Completed course ID1018 Programming I 7.5 credits, or an equivalent.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • PRO1 - Project, 4.5 credits, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Exam, 3.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Examiner

Profile picture Cicek Cavdar

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Computer Science

Main field of study

Technology

Education cycle

First cycle

Supplementary information

In this course, the EECS code of honor applies, see: http://www.kth.se/en/eecs/utbildning/hederskodex.