Faculty of Technical Sciences

Subject: Data Compression (17.E2534)

Native organizations units: Sub-department for Applied Computer Science and Informatics
General information:
 
Category Scientific-professional
Scientific or art field Applied Computer Science and Informatics
Interdisciplinary No
ECTS 6
Educational goal:

Students learn about principles, techniques, and methods of lossless and lossy data compression.

Educational outcome:

Acquiring the basic knowledge in data compression. The acquired skills are used for development of software that uses binary data, text, image, video compression.

Course content:

Data compression principles and techniques. Huffman coding. Arithmetic coding (JBIG). Dictionary techniques - implicit/explicit dictionaries (LZ77, LZ78, LZW). Prediction coding. Lossy compression - distortion criteria. Scalar quantization. Vector quantization. Differential encoding (DPCM, delta modulation, speech coding). Transform coding (DCT, wavelet). Subband coding. Application of data compression techniques.

Teaching methods:

Lectures, computer practice, consultations. The course material is divided into two parts and is tested in two tests during the duration of the course. In practice classes programs are created that implement compression techniques: general data compression, image compression, audio/speech compression. Successfully completed practice tasks are a prerequisite for taking final examination. The final examination is written. The final grade is based on the number of points on the examination, tests and practice tasks.

Literature:
Authors Title Year Publisher Language
Dragan Ivetić Kompresija podataka 2005 - Serbian language
Khalid Sayood Introduction to Data Compression 2012 English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Term paper Yes Yes 20.00
Oral part of the exam No Yes 30.00
Complex exercises Yes Yes 50.00
Lecturers:

vanr. prof. dr Dragan Dinu

Associate Professor

Computational classes

vanr. prof. dr Dragan Dinu

Associate Professor

Lectures

Faculty of Technical Sciences

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Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.