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DD2440 Advanced Algorithms 6.0 credits

Advanced course focusing on areas on the border between computer science and discrete mathematics and covering modern techniques for construction of efficient algorithms.

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For course offering

Autumn 2024 avalg24 programme students

Application code


Headings with content from the Course syllabus DD2440 (Autumn 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course will describe and analyse a number of algorithms for combinatorial computational problems.

Algorithmic concepts: randomized algorithms, approximation algorithms, fixed-parameter algorithms.

Intended learning outcomes

  • explain different advanced algorithmic concepts such as randomized algorithms, approximation algorithms and fixed-parameter algorithms
  • analyse, select, use and verify algorithms that are based on the above concepts
  • develop efficient algorithms that are based on the above concepts
  • independently explore existing advanced algorithms, implement them and improve them using heuristics
  • communicate algorithmic ideas in a clear and formal way

in order to

  • design and evaluate computer programs that utilise computer resources efficiently.

Literature and preparations

Specific prerequisites

  • Knowledge in algorithms and complexity, 7.5 higher education credits, equivalent to completed course DD1352/DD2350/DD2352.
  • Knowledge in discrete mathematics, 7,5 higher education credits, equivalent to completed course SF1610/SF1630/SF1662/SF1679/SF1688.
  • Knowledge in probability theory and statistics, 6 higher education credits, equivalent to completed course SF1910-SF1925/SF1935.

Recommended prerequisites

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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


  • ÖVN1 - Exercise, 6.0 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.

ÖVN1 consists of group tasks and individual assignments that are reported in writing and a group project that is reported in writing and orally.

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, Information Technology, Information and Communication Technology

Education cycle

Second cycle

Add-on studies

Please discuss with the instructor.


Ioana-Oriana Bercea (

Supplementary information

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