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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Data Compression

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Code Completion Credits Range Language
MI-KOD.16 Z,ZK 5 2P+1C Czech
Lecturer:
Jan Holub (guarantor)
Tutor:
Radomír Polách
Supervisor:
Department of Theoretical Computer Science
Synopsis:

Students are introduced to the basic principles of data compression. They will learn the necessary theoretical background and get an overview of data compression methods being used in practice. The overview covers principles of integer coding and of statistical, dictionary, and context data compression methods. In addition, students learn the fundamentals of lossy data compression methods used in image, audio, and video compression.

Requirements:

Knowledge of basic data structures, fundamentals of computer programming, and theory of finite automata.

Syllabus of lectures:

1. Introduction, entropy, models, elementary methods.

2. Coding of integers.

3. [2] Statistical methods: Shannon-Fano coding, Huffman coding, arithmetic coding.

4. [2] Dictionary methods: LZ77, LZ78, LZW.

5. [3] Context methods: PPM, DCA, ACB.

6. Burrows-Wheeler compression.

7. Pattern matching in a compressed text.

8. Word-based compression.

9. Introduction to lossy compression (image, audio, video).

Syllabus of tutorials:

1. Entropy, models, elementary methods.

2. Coding of integers.

3. Statistical methods, Shannon-Fano coding, Huffman coding.

4. Statistical methods, Arithmetic coding.

5. Dictionary methods, LZ77, LZ78.

6. Dictionary methods, LZW.

7. Context methods, PPM.

8. Context methods, DCA.

9. Context methods, ACB.

10. Burrows-Wheeler compression.

11. Pattern matching in compressed text.

12. Word-based compression.

13. Introduction to lossy compression I (image, audio, video).

Study Objective:

The course deals with elementary techniques of data compression. The introduction with theoretical background is followed by presentation of methods for coding integers and statistical, dictionary, and context data compression methods. The module ends with an introduction to lossy data compression used in image, audio, and video compression.

Study materials:

1. Salomon, D., Motta, G., Bryant, D. ''Data Compression: The Complete Reference''. Springer, 2006. ISBN 1846286026.

Note:
Further information:
https://courses.fit.cvut.cz/MI-KOD/
Time-table for winter semester 2019/2020:
Time-table is not available yet
Time-table for summer semester 2019/2020:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
roomTH:A-1442
Polách R.
11:00–12:30
EVEN WEEK

(lecture parallel1
parallel nr.101)

Thákurova 7 (FSv-budova A)
roomTH:A-1442
Polách R.
11:00–12:30
ODD WEEK

(lecture parallel1
parallel nr.102)

Thákurova 7 (FSv-budova A)
Tue
Fri
Thu
roomTK:PU1
Holub J.
09:15–10:45
(lecture parallel1)
Dejvice
NTK PU 1
Fri
The course is a part of the following study plans:
Data valid to 2020-06-03
For updated information see http://bilakniha.cvut.cz/en/predmet4655206.html