Faculty of Technical Sciences

Subject: Introduction to Information Theory (17.EK310)

Native organizations units: Department of Power, Electronic and Telecommunication Engineering
General information:
 
Category Scientific-professional
Scientific or art field Telecommunications and Signal Processing
ECTS 6

Introduction to the basics of the information theory and an overview of algorithms used in information processing.

The knowledge of basic postulates of the information theory.

- Introduction to information theory; - Source coding (statistical coding), block code for data compression, optimal prefix code (Huffman code), Arithmetic coding, Universal codes, Lempel-Ziv algorithms; - Channel coding (Model of the communication channel, Transinformation, Equivocation, Irrelevance, Channel capacity and the methods of calculation, Optimal decoding. MAP criterion, The properties of binary symmetric channel, Convolutional codes and algorithms for their decoding)

The lectures are continuously followed by synchronized oral and computer exercises. Oral exercises contain practical problem solving sessions principally related to information theory. In the computer lab students obtain practical experience with algorithms used in information theory. Through the teaching process, students are constantly motivated to an intensive discussion, problem oriented reasoning, independent study work and active participation in the whole lecturing process. The prerequisite to enter the final exam is to complete the pre-exam assignments by earning at least 10 points.

Authors Title Year Publisher Language
Course activity Pre-examination Obligations Number of points
Laboratory exercise attendance Yes Yes 5.00
Lecture attendance Yes Yes 5.00
Practical part of the exam - tasks No Yes 20.00
Oral part of the exam No Yes 50.00
Homework Yes Yes 5.00
Exercise attendance Yes Yes 5.00
Test Yes Yes 10.00
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Assoc. Prof. Minja Aleksandar

Associate Professor

Lectures
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Assoc. Prof. Kovačević Mladen

Associate Professor

Lectures

Assistant - Master Devaja Tijana

Assistant - Master

Practical classes
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Asistent sa doktoratom dr Simić Nikola

Assistant with PhD

Laboratory classes

Assistant - Master Devaja Tijana

Assistant - Master

Laboratory classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.