| Module name | Introduction to information theory and coding |
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| Type of module | Compulsory |
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Learning results,
competencies, qualification goals | The student is able to:
- apply the basic knowledge of the information theory,
- create and apply optimal and suboptimal procedures for the block and convolutional coding and decoding,
- create and apply optimal and suboptimal procedures for source coding and decoding.
Learning results with regard to the objectives of the course of study:
- Gaining a deeper knowledge about the specific electrical fundamentals
- Acquiring enhanced and applied subject-specific basics
- Identifying and classifying complex electro-technical and interdisciplinary tasks
- Being confident in the ability to use and evaluate analytical methods
- Being able to create and evaluate solving methods independently
- Gaining important and profound experience in the area of practical technical skills and engineering activities
- Working and researching in national and international contexts
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| Types of courses | 4 SWS (semester periods per week): 3 SWS lecture
1 SWS exercise |
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| Course contents | - Fundamentals in information theory, entropy, mutual information
- Typical sequences and Shannon capacity for the discrete memoryless channel
- Channel coding: block codes, cyclic block codes, systematic form
- Soft and hard decisions and performance; interleaving and code concatenation
- Convolutional codes: tree and state diagrams, transfer function, distance properties; the Viterbi algorithm
- Source coding: fixed-length and variable-length codes, Huffman coding; the Lempel-Ziv algorithm; coding for analog sources, rate-distortion function; pulse-code modulation; delta-modulation, model-based source coding, linear predictive coding (LPC)
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Teaching and learning methods
(forms of teaching and learning) | Lecture, presentation, learning by teaching, self-regulated learning, problem-based learning |
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| Frequency of the module offering | Winter term |
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| Language | English |
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Requirements for the
participation in the module | Prerequisites according to examination regulations |
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| Student workload | 180 h: 60 h attendance studies
120 h personal studies |
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| Academic performances | None |
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Precondition for the
admission to the
examination performance | None |
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| Examination performance | Form of the examination: oral exam Duration of the examination: 30 min. |
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Number of credits
of the module | 6 credits
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| In charge of the module | Prof. Dr. Dirk Dahlhaus |
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| Teacher of the module | Prof. Dr. Dirk Dahlhaus and co-workers |
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| Forms of media | Projector, black board, piece of paper |
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| Literature references | - T. Cover and J.A. Thomas, Elements of Information Theory, 2nd ed., Wiley, ISBN: 978 0 471 24195 9.
- J.G. Proakis, Digital Communications, New York, NY: McGraw-Hill, 4th ed., 2001.
- Papoulis, S. U. Pillai, Probability, Random Variables, and Stochastic Processes, McGraw-Hill, 4th ed., ISBN 0071226613.
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