The course discusses methods for indexing, ranking and searching in large document collections, as well as methods for evaluating different search models.
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Content and learning outcomes
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
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.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- 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
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
- 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 about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.Course web DD2477
Main field of study
DD2417 Language Engineering.
In this course, the EECS code of honor applies, see:
DD2477 is replacing and overlapping DD2476 and therefore cannot be combined with that course.