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.
Supervisor
Department
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.
Recommended optional programme components
Not applicable.
Recommended or required reading
Přednáškové materiály a studijní opory v elektronické formě.
Sayood, K.: Introduction to Data Compression, Fifth Edition, 2017, ISBN 978-0-12809-474-7
Salomon, D.: Data Compression. The Complete Reference, Fourth Edition, Springer 2007, ISBN 978-1-84628-605-5
Sayood, K.: Lossless Compression Handbook, 2003, ISBN 978-0-12620-861-0
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.
Language of instruction
Czech
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.
Classification of course in study plans
- Programme IT-MGR-2 Master's
branch MBI , any year of study, summer semester, 5 credits, compulsory-optional
branch MGM , any year of study, summer semester, 5 credits, compulsory-optional
branch MIS , any year of study, summer semester, 5 credits, elective
branch MIN , any year of study, summer semester, 5 credits, elective
branch MMI , any year of study, summer semester, 5 credits, elective
branch MMM , any year of study, summer semester, 5 credits, compulsory-optional - Programme MITAI Master's
specialization NADE , any year of study, summer semester, 5 credits, elective
specialization NBIO , any year of study, summer semester, 5 credits, elective
specialization NGRI , any year of study, summer semester, 5 credits, elective
specialization NNET , any year of study, summer semester, 5 credits, elective
specialization NVIZ , any year of study, summer semester, 5 credits, elective
specialization NCPS , any year of study, summer semester, 5 credits, elective
specialization NSEC , any year of study, summer semester, 5 credits, elective
specialization NEMB , any year of study, summer semester, 5 credits, compulsory
specialization NHPC , any year of study, summer semester, 5 credits, elective
specialization NISD , any year of study, summer semester, 5 credits, elective
specialization NIDE , any year of study, summer semester, 5 credits, elective
specialization NISY , any year of study, summer semester, 5 credits, elective
specialization NMAL , any year of study, summer semester, 5 credits, elective
specialization NMAT , any year of study, summer semester, 5 credits, elective
specialization NSEN , any year of study, summer semester, 5 credits, elective
specialization NVER , any year of study, summer semester, 5 credits, elective
specialization NSPE , any year of study, summer semester, 5 credits, elective - Programme IT-MGR-2 Master's
branch MPV , 1. year of study, summer semester, 5 credits, compulsory
branch MSK , 1. year of study, summer semester, 5 credits, compulsory-optional
branch MBS , 1. year of study, summer semester, 5 credits, compulsory
Type of course unit
Lecture
26 hours, optionally
Teacher / Lecturer
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 hours, compulsory
Teacher / Lecturer
Syllabus
Individual project assignment.