- Sedgewick; Robert, Wayne, Kevin: Algorithms, 4th ed., Addison Wesley 2011.
- Witten, Ian H, Moffat, Alistair, Bell, Timothy C: Managing gigabytes: compressing and indexing documents and images, 2nd ed., Morgan Kaufman 1999.
- Additional literature provided by the course responsible teacher.
Algorithmic methods for search and storage
About the course
Finding specified patterns in large amounts of text data is at the core of how we have come to use search engines on the internet and search capabilities of document databases. The same goes for the analysis of DNA strings and other biological data, which from a computer scientists perspective is essentially the same sort of data as text.
On this course, you have the opportunity to expand your previously acquired knowledge of sorting algorithms and lookup data structures (search trees and hash tables) into specializations for string data, necessary to provide search and pattern matching with enough power for the commonplace and scientific uses that we have grown used to. Furthermore, you acquaint yourself with the closely related topic of algorithms for compressing data to represent information as space-efficiently as possible. In addition to being directly useful, the material on the course serves as examples for a generally deeper knowledge of how to analyze and tackle problems from the perspective of algorithm theory. This knowledge is widely valuable, outside of the application areas we address.
Entry requirements and selection
- DA292A or DA252A or DA304A, or:
- 7.5 ECTS in algorithms and data structures which includes prevalent algorithms and data structures for sorting and searching
- 7.5 ECTS in programming
- English B/English 6 or the equivalent.
Upper secondary grades 20%, University credits completed 60%, Swedish Scholastic Aptitude Test (SweSAT) 20%
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This education is provided by
Faculty of Technology and Society
The Faculty of Technology and Society (TS), conducts education and research with a focus on technology and natural sciences, in...