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.
NIE-KOD Data Compression Extent of teaching: 2P+1C Instructor: Holub J. 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 (image, audio, video). Literature:
1. Salomon, D. - Motta, G. : Handbook of Data Compression. Springer, 2010. ISBN 978-1-84882-902-2. 2. Sayood, K. : Introduction to Data Compression. Morgan Kaufmann, 2017. ISBN 9780128094747. Requirements:
Knowledge of basic data structures, fundamentals of computer programming, and theory of finite automata.
Chybí klíčová slova (CZ a EN).
Information about the course and courseware are available at https://courses.fit.cvut.cz/MIE-KOD/index.htmlThe course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester NIE-PB.21 Computer Security 2021 V 2 NIE-PSS.21 Computer Systems and Networks 2021 V 2 NIE-NPVS.21 Design and Programming of Embedded Systems 2021 V 2 NIE-SI.21 Software Engineering 2021 V 2 NIE-SI.21 Software Engineering 2021 V Není NIE-TI.21 Computer Science 2021 V Není NIE-DBE.2023 Digital Business Engineering V Není NIE-NPVS.21 Design and Programming of Embedded Systems 2021 V Není NIE-PSS.21 Computer Systems and Networks 2021 V Není NIE-PB.21 Computer Security 2021 V Není NIE-TI.21 Computer Science 2021 PS 2
Page updated 24. 4. 2024, semester: Z/2020-1, Z/2019-20, Z/2023-4, Z/2021-2, L/2022-3, Z/2024-5, L/2019-20, Z/2022-3, L/2020-1, L/2021-2, L/2023-4, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška