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A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.

MI-KOD.16 Data Compression Extent of teaching: 2P+1C
Instructor: Completion: Z,ZK
Department: 18101 Credits: 5 Semester: L

Annotation:
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.

Lecture syllabus:
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).

Seminar syllabus:
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).

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

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

Informace o předmětu a výukové materiály naleznete na https://courses.fit.cvut.cz/MI-KOD/

The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester
MI-SPOL.2016 Unspecified Branch/Specialisation of Study VO 2
NI-TI.2018 Computer Science PS Není
MI-WSI-WI.2016 Web and Software Engineering V 2
MI-SP-SP.2016 System Programming PZ 2
MI-WSI-SI.2016 Web and Software Engineering V 2
MI-ZI.2016 Knowledge Engineering V 2
MI-ZI.2018 Knowledge Engineering V 2
MI-PSS.2016 Computer Systems and Networks V 2
MI-WSI-ISM.2016 Web and Software Engineering V 2
MI-NPVS.2016 Design and Programming of Embedded Systems V 2
MI-SP-TI.2016 System Programming V 2
MI-PB.2016 Computer Security V 2


Page updated 28. 3. 2024, semester: Z/2023-4, L/2019-20, L/2022-3, Z/2019-20, Z/2022-3, L/2020-1, L/2023-4, Z/2020-1, Z,L/2021-2, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška