460-6010/01 – Information Retrieval Systems (DIS)

Gurantor departmentDepartment of Computer ScienceCredits10
Subject guarantordoc. Mgr. Jiří Dvorský, Ph.D.Subject version guarantordoc. Mgr. Jiří Dvorský, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2010/2011Year of cancellation
Intended for the facultiesFEIIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
DVO26 doc. Mgr. Jiří Dvorský, Ph.D.
SNA57 prof. RNDr. Václav Snášel, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+0
Part-time Examination 28+0

Subject aims expressed by acquired skills and competences

The aim is to deepen the knowledge gained in the Master's program. Students will study a selected area of IR systems, implement the selected algorithms, they propose modifications, etc., carry out experiments and prepare a short, research (technical) report.

Teaching methods

Individual consultations

Summary

The course focuses on advanced methods for indexing and retrieval of data: the use of linear algebra, matrix decomposition, grouping algorithms, their use in the search, neural networks, bio-inspired methods of computing such as genetic algorithms. It also deals with current methods of their implementation (supercomputing, clusters, CUDA).

Compulsory literature:

C.D. Manning, P. Raghavan, H. Schütze: Introduction to Information Retrieval, Cambridge UP, 2008. R. Baeza-Yates, B. Ribeiro-Neto: Modern Information Retrieval, Addison-Wesley, 1999. D.A. Grossman, O. Frieder: Information Retrieval: Algorithms and Heuristics, Springer, 2004. I.H. Witten, A. Moffat, T.C. Bell: Managing Gigabytes, Morgan Kaufmann, 1999.

Recommended literature:

J.Pokorný, V.Snášel, D.Húsek.Dokumentografické informační systémy. Karolinum, Skriptum MFF UK Praha, 1998, ISBN 80-7184-764-X. pp 158.

Way of continuous check of knowledge in the course of semester

Ongoing review of learning activities and assignments as part of regular consultations. If the student's assignments also include publishing, the relevant article will be presented in the course.

E-learning

Other requirements

Additional requirements for the student are not.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

The course focuses on advanced methods for indexing and retrieval of data: the use of linear algebra, matrix decomposition, grouping algorithms, their use in the search, neural networks, bio-inspired methods of computing such as genetic algorithms. It also deals with current methods of their implementation (supercomputing, clusters, CUDA).

Conditions for subject completion

Full-time form (validity from: 2011/2012 Winter semester, validity until: 2012/2013 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination 100  51 3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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2021/2022 (P0541D170005) Computational and Applied Mathematics P Czech Ostrava Choice-compulsory type B study plan
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2020/2021 (P0541D170005) Computational and Applied Mathematics K Czech Ostrava Choice-compulsory type B study plan
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2019/2020 (P0541D170005) Computational and Applied Mathematics P Czech Ostrava Choice-compulsory type B study plan
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2017/2018 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics K Czech Ostrava Choice-compulsory study plan
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2016/2017 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics K Czech Ostrava Choice-compulsory study plan
2015/2016 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
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2012/2013 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
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2012/2013 (P1807) Computer Science, Communication Technology and Applied Mathematics (1801V001) Informatics P Czech Ostrava Choice-compulsory study plan
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2011/2012 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
2011/2012 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics K Czech Ostrava Choice-compulsory study plan
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2010/2011 (P1807) Computer Science, Communication Technology and Applied Mathematics (1103V036) Computational and Applied Mathematics P Czech Ostrava Choice-compulsory study plan
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