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Introduction to data compression

General data

Course ID: 1000-2N09KDW
Erasmus code / ISCED: 11.303 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0612) Database and network design and administration The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Introduction to data compression
Name in Polish: Kompresja danych - wprowadzenie
Organizational unit: Faculty of Mathematics, Informatics, and Mechanics
Course groups: (in Polish) Przedmioty obieralne na studiach drugiego stopnia na kierunku bioinformatyka
Elective courses for Computer Science
ECTS credit allocation (and other scores): 6.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
view allocation of credits
Language: English
Type of course:

elective monographs
Mode:

Classroom
Short description:

Introduction to text and image compression. Universal compression methods.
Full description:

1. Mathematical underpinnings of losless compression.

2. Huffman coding

3. Arithmetic coding.

4. Dictionary methods.

5. PPM algorithm. Burrows-Wheeler transform. Algorithm MTF.

6. Dynamic Markov encoding. Technique CTW.

7. Mathematical underpinnings of lossy compression.

8. Scalar quantization..

9. Vector quantization

10. Differential encoding.

11. Transforms.

12. Standards JPEG and JPEG 2000.
Bibliography:

Khalid Sayood "Kompresja Danych - Wprowadzenie", Readme, 2002.

Adam Drozdek "Wprowadzenie do Kompresji Danych", WNT, 1999.

David Salomon "Data Compression. The Complete Reference", Springer, 2007.
Learning outcomes:

Knowledge

* Knows basic algorithms used in losless and lossy compression. (KW_01).

Abilities

Is able to adapt the compression algorithm to data. (KU_01).

Competents

* Is prepared to understand materials concerning text and image compression. (KK_04).

* Is prepared to understand materials concerning universal compressors. (KK_04).
Assessment methods and assessment criteria:

Oral exam in two forms A student may choose the form. Either classsical oral exam or presentation of a topic connected to compression and one question on content of the lecture or exercises.

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-28
Selected timetable range:
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Type of class:
Classes, 30 hours more information
Lecture, 30 hours more information
Coordinators: Wojciech Plandowski
Group instructors: Wojciech Plandowski
Students list: (inaccessible to you)
Examination: Examination
Course descriptions are protected by copyright.
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