Course detail

Data Coding and Compression

FIT-KKOAcad. year: 2019/2020

Introduction to data compression theory. Lossy and lossless data compression, adaptive methods, statistical - Huffman and arithmetic coding, dictionary methods LZ77, LZ78, transform coding, Burrows-Wheeler transform. Hardware support for data compression.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

doc. Ing. Zdeněk Vašíček, Ph.D.

Department

Department of Computer Systems (UPSY)

Learning outcomes of the course unit

Theoretical background of advanced data processing using compression.
Importance of advanced data compression.

Prerequisites

Knowledge of functioning of basic computer units.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Project designing and presentation.
Exam prerequisites:
Project designing and presentation. Min 10 points.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

To give the students the knowledge of basic compression techniques, the methods for lossy and lossless data compression, their efficiency and hardware support for data compression.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Lecture notes and study supports in e-format.
Salomon, D.: Data Compression. The Complete Reference, Fourth Edition, Springer 2007, ISBN 978-1-84628-605-5
Sayood, K.: Introduction to Data Compression, Fifth Edition, 2017, ISBN 978-0-12809-474-7
Sayood, K.: Lossless Compression Handbook,  2003, ISBN 978-0-12620-861-0

Classification of course in study plans

  • Programme IT-MSC-2 Master's

    branch MMI , 0 year of study, summer semester, elective
    branch MBI , 0 year of study, summer semester, compulsory-optional
    branch MSK , 1 year of study, summer semester, compulsory-optional
    branch MMM , 0 year of study, summer semester, compulsory-optional
    branch MBS , 1 year of study, summer semester, compulsory
    branch MPV , 1 year of study, summer semester, compulsory
    branch MIS , 0 year of study, summer semester, elective
    branch MIN , 0 year of study, summer semester, elective
    branch MGM , 0 year of study, summer semester, compulsory-optional

  • Programme MITAI Master's

    specialization NEMB , 0 year of study, summer semester, compulsory
    specialization NBIO , 0 year of study, summer semester, elective
    specialization NSEN , 0 year of study, summer semester, elective
    specialization NVIZ , 0 year of study, summer semester, elective
    specialization NGRI , 0 year of study, summer semester, elective
    specialization NISD , 0 year of study, summer semester, elective
    specialization NSEC , 0 year of study, summer semester, elective
    specialization NCPS , 0 year of study, summer semester, elective
    specialization NHPC , 0 year of study, summer semester, elective
    specialization NNET , 0 year of study, summer semester, elective
    specialization NMAL , 0 year of study, summer semester, elective
    specialization NVER , 0 year of study, summer semester, elective
    specialization NIDE , 0 year of study, summer semester, elective
    specialization NSPE , 0 year of study, summer semester, elective
    specialization NADE , 0 year of study, summer semester, elective
    specialization NMAT , 0 year of study, summer semester, elective
    specialization NISY , 0 year of study, summer semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Vladimír Drábek, CSc.
doc. Ing. Zdeněk Vašíček, Ph.D.

Syllabus

  • Introduction to compression theory.
  • Basic compression methods.
  • Statistical and dictionary methods.
  • Huffman coding.
  • Adaptive Huffman coding.
  • Arithmetic coding. Text compression.
  • Lossy and lossless data compression.
  • Dictionary methods, LZ77, LZ78.
  • Variants of LZW.
  • Transform coding, Burrows-Wheeler transform.
  • Other methods.
  • Hardware support for data compression, MXT.

Project

26 hod., compulsory

Teacher / Lecturer

Ing. Václav Šimek

Syllabus

Individual project assignment.