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  Information Theory and Coding (ITC)

Lecturer
Prof. Dr.-Ing. Ralf Müller

Details
Vorlesung
3 cred.h, ECTS studies, ECTS credits: 5
nur Fachstudium, Sprache Englisch
Time and place: Tue 14:15 - 15:45, H6; Fri 08:15 - 09:45, H6

Fields of study
WF EEI-BA 5-6
PF EEI-MA-INT 1-4
PF CE-BA-TA-IT 5
WF CE-MA-TA-IT 1
PF EEI-BA-INT 5-6
WF IuK-BA 5
WPF WING-BA-IKS-ING-MG1 5-6
WPF WING-MA 1-3
PF CME-MA 1
PF ASC-MA 1
WPF INF-NF-EEI 1-4

Contents
Basic definitions: information, entropy, mutual information. Coding for data compression: source coding theorem, lossless compressing codes: Huffman-, Tunstall-, Lempel-Ziv-codes, entropy and coding for sources with memory, Markovian sources. Channel coding for reliable communications over noisy channels: channel models, capacity, channel coding theorem, bounding techniques for decoding, error probability, cut-off-rate, random coding error exponent.

ECTS information:
Credits: 5

Additional information
Expected participants: 84
www: http://www.lit.lnt.de/Courses/V-ITe.shtml

Assigned lectures
UE: Tutorial for Information Theory and Coding
Lecturer: Ali Bereyhi, M. Sc.
Time and place: n.V.

Verwendung in folgenden UnivIS-Modulen
Startsemester WS 2017/2018:
Information Theory and Coding (ITC)

Department: Institute for Digital Communications (IDC) (Prof. Dr. Schober)
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