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IL2212 Embedded Software 7.5 credits

The course addresses the software design process for embedded systems. Embedded software is usually organized in layers from hardware dependent parts to application specific software modules. Lower software layers provide hardware abstraction, communication and resource management services to the higher application specific software layers. Due to the nature of embedded systems, all embedded software has to handle strict non-functional constraints such as delay and throughput, power, and memory constraints. The main focus of the course is on real-time aspects of embedded software.

About course offering

For course offering

Spring 2025 Start 14 Jan 2025 programme students

Target group

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

Part of programme

Master's Programme, Embedded Systems, åk 1, INEL, Recommended

Master's Programme, Embedded Systems, åk 1, INMV, Mandatory

Master's Programme, Embedded Systems, åk 1, INPF, Recommended

Master's Programme, ICT Innovation, åk 1, INSM, Mandatory

Master's Programme, ICT Innovation, åk 1, INSY, Mandatory

Master's Programme, Systems, Control and Robotics, åk 1, Recommended

Master's Programme, Systems, Control and Robotics, åk 2, Recommended


P3 (7.5 hp)


14 Jan 2025
16 Mar 2025

Pace of study


Form of study

Normal Daytime

Language of instruction


Course location

KTH Kista

Number of places

25 - 150

Planned modular schedule


For course offering

Spring 2025 Start 14 Jan 2025 programme students

Application code



For course offering

Spring 2025 Start 14 Jan 2025 programme students


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Course coordinator

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Headings with content from the Course syllabus IL2212 (Spring 2020–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Design process for embedded multiprocessor real-time system.
  • Design requirement for safety-critical embedded software systems.
  • Specification of embedded software systems. Model of computation and modelling language. Modeling of the platform.
  • Advanced models and methods for the analysis of real-time system.
  • Methods for code generation from high-level models. 

Intended learning outcomes

After completing the course, the students shall be able to

  • use different models of computation for specification of embedded software systems
  • use advanced models and methods for the analysis of embedded real-time systems
  • use methods for generation of software from high-level models
  • carry out the design process from specification to implementation of an embedded multiprocessor real-time system.

Literature and preparations

Specific prerequisites

Completed course at second cycle level in embedded systems equivalent to IL2206 Embedded Systems.

Recommended prerequisites

The course requires good knowledge about the design of embedded computer systems, comparable to IL2206 Embedded Systems


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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


  • LABA - Laboratory Work, 3.0 credits, grading scale: P, F
  • TENA - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, 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.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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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

Main field of study

Computer Science and Engineering, Electrical Engineering

Education cycle

Second cycle

Add-on studies

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Supplementary information

In this course, the EECS code of honor applies, see: