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.
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.
Information per course offering
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Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus DD2477 (Spring 2022–)Content and learning outcomes
Course contents
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.
Equipment
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- 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
Opportunity to raise an approved grade via renewed examination
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
Offered by
Main field of study
Education cycle
Add-on studies
DD2417 Language Engineering.
Contact
Supplementary information
In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex
DD2477 is replacing and overlapping DD2476 and therefore cannot be combined with that course.