- 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.
IK1332 Internet of Things 7.5 credits

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.
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
- [object Object]
- Schedule
- Schedule is not published
- Part of programme
Bachelor's Programme in Information and Communication Technology, åk 3, Recommended
Degree Programme in Computer Engineering, åk 3, DPU2, Recommended
Degree Programme in Computer Engineering, åk 3, SAIN, Mandatory
Degree Programme in Electronics and Computer Engineering, åk 3, Recommended
Degree Programme in Engineering and Economics, åk 3, TIED, Conditionally Elective
Master's Programme, Communication Systems, åk 1, ITE, Recommended
Master's Programme, Communication Systems, åk 1, SMK, Recommended
Master's Programme, Communication Systems, åk 1, TRN, Recommended
Contact
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–)Content and learning outcomes
Course contents
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
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
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
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
Offered by
Main field of study
Education cycle
Supplementary information
In this course, the EECS code of honor applies, see: http://www.kth.se/en/eecs/utbildning/hederskodex.