700.660 (23S) Information Theory and its Application to Communications Engineering

Sommersemester 2023

Anmeldefrist abgelaufen.

Erster Termin der LV
16.06.2023 09:00 - 17:00 B04.1.06 On Campus
... keine weiteren Termine bekannt

Überblick

Lehrende/r
LV-Titel englisch Information Theory and its Application to Communications Engineering
LV-Art Vorlesung-Kurs (prüfungsimmanente LV )
LV-Modell Präsenzlehrveranstaltung
Semesterstunde/n 2.0
ECTS-Anrechnungspunkte 4.0
Anmeldungen 9 (50 max.)
Organisationseinheit
Unterrichtssprache Englisch
LV-Beginn 16.06.2023
eLearning zum Moodle-Kurs

Zeit und Ort

Liste der Termine wird geladen...

LV-Beschreibung

Intendierte Lernergebnisse

Vermittlung von Basiswissen über informationstheoretische Methoden und deren Anwendung in digitalen Übertragungssystemen. 

Inhalt/e

  • Basic definitions: information, entropy, mutual information; entropy for sources with memory.
  • Coding for data compression: source coding theorem;
  • Lossless data compressing codes: Huffman-, Tunstall-, Lempel-Ziv-codes, coding for sources with memory.
  • Description of noisy communication channels by methods of Information Theory
  • Principles of channel coding for reliable communications over noisy channels
  • Information theory for continuous random variables: differential entropy, capacity of channels with white and colored noise, bandlimited continuous-time channels
  • tradeoff between power and bandwidth efficiency.
  • Introduction to Multi-User Information Theory

Literatur

lecture notes; broad literature (incl. textbooks) on information theory; e. g.

Thomas, Cover : Elements of Information Theory, 2. Edition, 2006

see: Thomas M. Cover, Joy A. Thomas

Link auf weitere Informationen

https://www.idc.tf.fau.de/person/johannes-huber

Intendierte Lernergebnisse

The students acquire fundamental insights into information theoretical methods and their application to the assessment and optimization of digital transmission systems.

Inhalt/e

  • Basic definitions: information, entropy, mutual information; entropy for sources with memory.
  • Coding for data compression: source coding theorem;
  • Lossless data compressing codes: Huffman-, Tunstall-, Lempel-Ziv-codes, coding for sources with memory.
  • Description of noisy communication channels by methods of Information Theory
  • Principles of channel coding for reliable communications over noisy channels
  • Information theory for continuous random variables: differential entropy, capacity of channels with white and colored noise, bandlimited continuous-time channels
  • tradeoff between power and bandwidth efficiency.
  • Introduction to Multi-User Information Theory

Literatur

lecture notes; broad literature (incl. textbooks) on information theory; e. g.

Thomas, Cover : Elements of Information Theory, 2. Edition, 2006

see: Thomas M. Cover, Joy A. Thomas

Link auf weitere Informationen

https://www.idc.tf.fau.de/person/johannes-huber

Prüfungsinformationen

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Prüfungsmethode/n

30 minutes oral exam, if more than 15 students apply: written, 90 minutes

The date of the exam will be agreed with the students in the last unit

Prüfungsinhalt/e

All chapters of the lecture notes

Beurteilungsschema

Note Benotungsschema

Position im Curriculum

  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Networks and Communications: Advanced (NC) (Wahlfach)
      • Wahl aus dem LV-Katalog (siehe Anhang 2) ( 0.0h VO, VK / 30.0 ECTS)
        • 700.660 Information Theory and its Application to Communications Engineering (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Information and Communications Engineering: Supplements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.660 Information Theory and its Application to Communications Engineering (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Technical Complements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.660 Information Theory and its Application to Communications Engineering (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Information and Communications Engineering: Supplements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.660 Information Theory and its Application to Communications Engineering (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Technical Complements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.660 Information Theory and its Application to Communications Engineering (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 22W.1)
    • Fach: Networks and Communications: Advanced (Wahlfach)
      • 1.2 Information Theory ( 0.0h VC / 4.0 ECTS)
        • 700.660 Information Theory and its Application to Communications Engineering (2.0h VC / 4.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Sommersemester 2021
  • 700.660 VC Information Theory and its Application to Communications Engineering (2.0h / 4.0ECTS)
Sommersemester 2018
  • 700.660 VC Information Theory (2.0h / 4.0ECTS)
Sommersemester 2017
  • 700.660 VC Information Theory (2.0h / 4.0ECTS)
Sommersemester 2016
  • 700.660 VC Information Theory (2.0h / 4.0ECTS)
Sommersemester 2014
  • 700.660 VK Information Theory and its Applications in Communication Engineering (2.0h / 4.0ECTS)
Sommersemester 2013
  • 700.660 VK Information Theory and its Applications in Communication Engineering (2.0h / 4.0ECTS)