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FDD3008 Distributed Algorithms 6.0 credits

About course offering

For course offering

Autumn 2024 Start 26 Aug 2024 programme students

Target group

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Part of programme

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P1 (6.0 hp)


26 Aug 2024
27 Oct 2024

Pace of study


Form of study

Normal Daytime

Language of instruction


Course location

KTH Campus

Number of places

Places are not limited

Planned modular schedule


For course offering

Autumn 2024 Start 26 Aug 2024 programme students

Application code



For course offering

Autumn 2024 Start 26 Aug 2024 programme students


Mads Dam, e-post:, tel: 790 6229


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Course coordinator

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Headings with content from the Course syllabus FDD3008 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Parallel and distributed algorithms are fundamental to many aspects of modern computing and communications technology, including processor architectures (multicore, manycore), programming languages and operating systems, databases, and networks. The course covers the principles of parallel and distributed algorithms, emphasizing the fundamental issues underlying the design and analysis of distributed systems, including synchronization, communication, coordination, agreement, fault-tolerance, locality, symmetry breaking, self-organization.

Intended learning outcomes

Upon completion of the course the student should be able to:

  • understand and account for models, limitations, and fundamental concepts in the area of message passing and shared memory concurrency, and apply this understanding to example systems and algorithms,
  • adapt, and design algorithms for execution in parallel and distributed settings,
  • analyze the algorithms for correctness, reliability, security, and performance.

Literature and preparations

Specific prerequisites

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Recommended prerequisites

The course does not have formal prerequisites. Target audience is first or second year postgraduate students in computer science. Postgraduate students in other subjects are welcome to attend. Familiarity with algorithms and their theory, basic probability theory, and basic mathematical discourse in cs, and programming experience will be very useful. We assume a level corresponding to the required courses of the KTH D and/or F programs.


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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

P, F


  • EXA1 - Examination, 6.0 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.

Other requirements for final grade

The course is examined through handins, participation in marking, an oral paper presentation, and a written report.

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

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

Education cycle

Third cycle

Add-on studies

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Mads Dam, e-post:, tel: 790 6229

Postgraduate course

Postgraduate courses at EECS/Theoretical Computer Science