Course details

Data Coding and Compression

KKO Acad. year 2025/2026 Summer semester 5 credits

Current academic year

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.

Guarantor

Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY)

Course coordinator

Mrázek Vojtěch, Ing., Ph.D. (DCSY)

Language of instruction

Czech

Completion

Credit+Examination (written)

Time span

  • 26 hrs lectures
  • 26 hrs projects

Assessment points

  • 70 pts final exam (written part)
  • 30 pts projects

Department

Department of Computer Systems (UPSY)

Lecturer

Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY)

Instructor

Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY)

Learning objectives

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.

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

Prerequisite knowledge and skills

Knowledge of functioning of basic computer units.

Study literature

  • Sayood, K.: Introduction to Data Compression, Fifth Edition, 2017, ISBN 978-0-12809-474-7

Syllabus of lectures

  • 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.
  • Advanced methods of data compression.

Syllabus - others, projects and individual work of students

Individual project assignment.

Progress assessment

An evaluated project for 30 points. A final examination for 70 points.


Course inclusion in study plans

Back to top