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DD2477 Search Engines and Information Retrieval Systems 7.5 credits

The course discusses methods for indexing, ranking and searching in large document collections, as well as methods for evaluating different search models.

Choose semester and 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.


For course offering

Spring 2025 Start 14 Jan 2025 programme students

Application code


Headings with content from the Course syllabus DD2477 (Spring 2022–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Basic and advanced technologies for information retrieval, indexing and ranking; indexing of non-textual data; boolean models and vector space models for search; evaluation and user interface issues; the structure of Internet search engines.

Intended learning outcomes

After passing the course, the student shall be able to

  • explain and use concepts in information retrieval such as indexing, ranking, boolean search model, vector space model
  • implement methods for indexing, search, and ranking of a very large number of documents with hyperlinks
  • use tools and software libraries for information retrieval
  • be able to evaluate algorithms and systems for information retrieval

in order to be able to

  • work for companies that specialise in information retrieval
  • carry out a master's degree project in computer science with a specialisation in information retrieval
  • be an important link between systems designers, programmers, and interaction designers in industry as well as in research projects.

Literature and preparations

Specific prerequisites

Completed courses in

  • basic computer science, equivalent to one of the courses DD1338/DD1320/DD1321/DD1325/DD1327/ID1020/ID1021
  • linear algebra, equivalent to one of the courses SF1624/SF1684/SF1672.

Active participation in a course offering where the final examination is not yet reported in LADOK is considered equivalent to completion of the course.

Registering for a course is counted as active participation. The term 'final examination' encompasses both the regular examination and the first re-examination.

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


  • LAB1 - Computer assignments, 4.5 credits, grading scale: A, B, C, D, E, FX, F
  • PRO1 - Project assignment, 3.0 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.

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

Education cycle

Second cycle

Add-on studies

DD2417 Language Engineering.


Johan Boye (

Supplementary information

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

DD2477 is replacing and overlapping DD2476 and therefore cannot be combined with that course.