460-6011/04 – Data Compression (KOD)

Gurantor departmentDepartment of Computer ScienceCredits10
Subject guarantordoc. Mgr. Jiří Dvorský, Ph.D.Subject version guarantorprof. Ing. Jan Platoš, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFEIIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
PLA06 prof. Ing. Jan Platoš, 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
Distance Examination 10+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 data compression, 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 lossless and lossy compression methods, development of special methods of compression - the compression of large data sets and conversely short data, compression of semistructured data, compression of XML data. Fractal image compression, natural language compression will be discussed as well.

Compulsory literature:

K.Sayood. Introduction to Data Compression. Academic Press, 2006. D.Salomon. Data Compression. Springer Verlag, 2004.

Recommended literature:

http://compression-links.info/ Vybrané články z konferencí a časopisů.

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 lossless and lossy compression methods, development of special methods of compression - the compression of large data sets and conversely short data, compression of semistructured data, compression of XML data. Fractal image compression, natural language compression will be discussed as well.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2023/2024 (P0613D140033) Informatics and Computational Science K English Ostrava Choice-compulsory type B study plan
2023/2024 (P0613D140033) Informatics and Computational Science P English Ostrava Choice-compulsory type B study plan
2023/2024 (P0613D140006) Computer Science K English Ostrava Choice-compulsory type B study plan
2023/2024 (P0613D140006) Computer Science P English Ostrava Choice-compulsory type B study plan
2022/2023 (P0613D140006) Computer Science P English Ostrava Choice-compulsory type B study plan
2022/2023 (P0613D140006) Computer Science K English Ostrava Choice-compulsory type B study plan
2022/2023 (P0613D140033) Informatics and Computational Science P English Ostrava Choice-compulsory type B study plan
2022/2023 (P0613D140033) Informatics and Computational Science K English Ostrava Choice-compulsory type B study plan
2021/2022 (P0613D140006) Computer Science K English Ostrava Choice-compulsory type B study plan
2021/2022 (P0613D140006) Computer Science P English Ostrava Choice-compulsory type B study plan
2020/2021 (P0613D140006) Computer Science P English Ostrava Choice-compulsory type B study plan
2020/2021 (P0613D140006) Computer Science K English Ostrava Choice-compulsory type B study plan
2019/2020 (P0613D140006) Computer Science P English Ostrava Choice-compulsory type B study plan
2019/2020 (P0613D140006) Computer Science K English Ostrava Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2022/2023 Summer
2019/2020 Winter