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FIL3112 Real-Time Systems 7.5 credits

Information per course offering

Termin

Information for Autumn 2026 Start 26 Oct 2026 programme students

Course location

KTH Campus

Duration
26 Oct 2026 - 11 Jan 2027
Periods

Autumn 2026: P2 (7.5 hp)

Pace of study

50%

Application code

12679

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group
No information inserted
Planned modular schedule
[object Object]
Schedule
Schedule is not published
Part of programme
No information inserted

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

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

Course syllabus FIL3112 (Autumn 2025–)
Headings with content from the Course syllabus FIL3112 (Autumn 2025–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Time requirements for real-time systems.
  • Models to describe real-time systems.
  • Scheduling and resource allocation for single and multi-core real-time systems.
  • Time verification of real-time systems.
    Real-time networks.
  • Real-time operating systems.
  • Implementation of software applications with real-time requirements.

Intended learning outcomes

After passing the course, the student should be able to:

  • model and design real-time systems and analyze if an application meets its time requirements
  • examine implementations of complex real-time software applications that use a real-time operating system
  • contrast literature and research directions on real-time systems.

Literature and preparations

Specific prerequisites

Knowledge and skills in programming covering 6 credits, equivalent to completed course DD1337/DD1310-DD1319/DD1321/DD1331/DD100N/ID1018.

Knowledge of computer technology/computer architecture covering 6 higher education credits, equivalent to completed course EP1200/IS1200/IS1500.

Proficiency in mathematical proof, equivalent to the completion of 7.5 higher education credits of higher education mathematics courses, for example SF1610/SF1624/SF1625/SF1630/SF1662/SF1671/SF1672/SF1673/SF1679.

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

Grading scale

P, F

Examination

  • LAB1 - Laboratory work, 1.5 credits, grading scale: P, F
  • TEN1 - Written Exam, 5.0 credits, grading scale: P, F
  • SEM1 - Seminars, 1.0 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. If the course is discontinued, students may request to be examined during the following two academic years.

The course consists of lectures, laboratory assignments, seminars, and exercises.

While the focus of the course is on methods to analyse timing properties of real-time systems, students will also use Real-Time Operating Systems (RTOS) to implement applications that follow the theoretical models, connecting theory and practice. This is an important step, as implementations offer a plethora of choices that may differently impact the temporal behaviour of applications, which can lead to unbounded timing behaviour that cannot be analysed anymore. Seminars will be used to explore seminal papers as well as timely research directions in depth.


The examination of the course is divided into three parts:
LAB Laboratory Exercises, 1.5 credits: P.F
TEN Written Exam, 5.0 credits: P,F 
SEM Seminars, 1.0 credits, P,F


A student needs to have a passing grade in each in order to pass the course.

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

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

This course does not belong to any Main field of study.

Education cycle

Third cycle

Postgraduate course

Postgraduate courses at EECS/Electronics and Embedded Systems