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Course info
KEF / TSI2E
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Course description
Department/Unit / Abbreviation
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KEF
/
TSI2E
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Theory of Signals and Information 2
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
4
Cred.
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Type of completion
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Oral
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Type of completion
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Oral
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Time requirements
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Přednáška
3
[Hours/Week]
Exercise
1
[Hours/Week]
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Course credit prior to examination
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No
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Course credit prior to examination
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No
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Automatic acceptance of credit before examination
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No
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Included in study average
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YES
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Language of instruction
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English
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Occ/max
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Automatic acceptance of credit before examination
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No
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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not determined
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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English
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Internship duration
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0
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No. of hours of on-premise lessons |
0
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Evaluation scale |
A|B|C|D|E|F |
Periodicity |
každý rok
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Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
A|B|C|D|E|F |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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KEF/TSI1E
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Meet all prerequisites before registering
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NO
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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The main aim is to learn students the main methods of signal modulations and further basic terms and quantities of information theory.
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Requirements on student
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Knowledge in the range of lecture content. The important term is Fourier transform. Regular attendance on the lectures is strongly recommended.
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Content
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1. Basic properties and types of analog modulations of signals 2. Amplitude modulation and effect of noise on amplitude-modulated signals 3. Phase modulation and effect of noise on phase-modulated signals 4. Sampling and impulse modulations of signals 5. Quantization and digital modulations of signals 6. Multi-channel signals 7. Application of software Matlab for modelling of signal modulations 8. Definition and basic terms of information theory, information and its quantitative measures, mathematical inequalities in theory of information 9. Basic types and properties of information entropy 10. Mean mutual information and its properties 11. Coding and redundancy of information 12. Transfer of information via discrete channel 13. Transfer of information via continuous channel 14. Relationship between information and thermodynamic entropy
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Recommended:
Yeung, R. W. A First Course in Information Theory. Springer, New York, USA, 2002.
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Recommended:
Young, P. H. Electronic communication techniques. Ch.E.Merrill Publ. Comp. and Bell - Howel Comp. Columbus, 1985.
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Recommended:
Goldman, S. Information theory. Prentice - Hall Inc., 1953.
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Recommended:
MacKay, D. J. C. Information Theory, Inference, and Learning Algorithms. Cambridge, 2003.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Homework for Teaching
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30
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Preparation for the Exam
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40
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Attendace
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50
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Total
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120
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Prerequisites - other information about course preconditions |
- |
Competences acquired |
Knowledge of signal processing (Fourier transform, signal sampling, signal quantization). Basic knowledge of mathematical analysis (derivations, integrations, functions of complex variable). |
Teaching methods |
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Assessment methods |
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