Information Theory and Encoding
FSI-VTIAcad. year: 2020/2021
The course is aimed to basics in information theory (message, entropy, transfer of information, discrete and continuous channels) and signals (signal processing, modulation). Further the course includes basic overview of coding methods in areas: bar codes, compression codes, error correcting codes and cryptography. At the end of the course the modern trends in coding are presented (quantum error correction, quantum cryptography).
Learning outcomes of the course unit
The acquired knowledge will be sufficient for the good orientation in given principles of ICT.
Basic mathematical knowledge is required.
Recommended optional programme components
Recommended or required reading
ADÁMEK, Jiří: Kódování. Praha, SNTL, 1989. (CS)
SAYOOD, K.: Introduction to Data Compression, Fifth Edition, 2017, ISBN 978-0-12809-474-7 (EN)
Přibyl J.,Kodl J.: Ochrana dat v informatice. (CS)
LUBBE J.C.A.: Information Theory, Cambridge University Press, 1997 (EN)
SCHNEIER, B. Applied Cryptography, John Wiley & Sons, Inc. 1996. (EN)
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.
Assesment methods and criteria linked to learning outcomes
The active participation and mastering the assigned task.
Language of instruction
The course objective is to make students familiar with the basics of the Theory of information and Coding theory. A key measure in information theory is "entropy". Applications of fundamental topics of information theory include lossless data compression and channel coding. Codes are used for data compression, cryptography, error-correction and more recently also for network coding..
Specification of controlled education, way of implementation and compensation for absences
Solving an extra assignment can compensate absence.
Classification of course in study plans
Type of course unit
26 hours, optionally
Teacher / Lecturer
1. Introduction to the information theory 1/2 (information, entropy, mutual information).
2. Introduction to the information theory 2/2 (channel capacity, noisy-channel coding theorem).
3. Basic principle of communication (model of discrete channel).
4. Introduction to encoding theory.
5. Bar Code. RFID technology.
6. Data compression I.
7. Data compression II.
8. Error detection and correction I.
9. Error detection and correction II.
10. Cryptogaphy I.
11. Cryptogaphy II.
12. Cryptogaphy III.
13. Advanced in encoding and cryptography theory (quantum cryptography).
26 hours, compulsory
Teacher / Lecturer
Computer labs (exercises) are consistent with the content of lectures. The aim of the labs is to introduce students to practical part of the course above all using Matlab/Simulink system.
The labs are divided into six parts:
a) Bit rate, channel capacity, information ratio.
b) Signals, modulation methods.
c) Bar code.
d) Data compression.
e) Error detection and correction.
eLearning: currently opened course