# 389.153 Data Communications This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_20",{id:"j_id_20",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_22",{id:"j_id_22",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});});

2020S, VO, 2.0h, 3.0EC

## Properties

• Semester hours: 2.0
• Credits: 3.0
• Type: VO Lecture

## Learning outcomes

After successful completion of the course, students are able to understand and apply the methods described unter the item "Lehrinhalte". The are primarilz mathematical methods that lay the foundations for further lectures in the bachelor studies, in particular courses in Signals and Systems, Telecommunications and Wave Propagation.

## Subject of course

Navigation system: Problem setting, mathematical foundations, probability theory basics and binary random sequences, correlation, pseudo-random number sequences, navigation, satellite sequences, localisation, data transmission, encryption, exercises.

Mobile Telephony: Problem setting, mathematical foundations, channel estimation via training sequences, convolutional codes for error correction, trellis, Viterbi-Algorithm, user identity, international roaming, exercises.

MP3-Player: Problem setting, mathematical foundations, digital signal processing, Fibonacci-numbers, Z-transform, linear time-tinvariant systems, exercises.

CD player: Problem setting, mathematical foundations, modulo calculus, Galois field GF(p), fundamentals of block codes, Reed-Solomon (RS) codes over GF(p), error correction with RS codes, discrete Fourier transform (DFT), decoding using the Euclidian algorithm, exercises.

DVD: Problem setting, mathematical foundations, Information theory, source coding, Shannon's uncertainty, Entropy, Shannon's source coding theorem, Huffman-coding, arithmetic coding, exercises

Internet: Problem setting, mathematical foundations, multiple access, Slotted ALOHA, reliable data transmission between two computers, Stop-and-wait ARQ, calculation of the shortest path in the network, Dijkstra-algorithm, cryptology, Rivest-Shamir-Adleman (RSA-) encryption, exercises.

## Teaching methods

Presentation of lecture slides, additional chalk -and-talk-style explanations.

## Mode of examination

Written

first class: Mo., 2.3.2020 um 10:15 a.m.

## Course dates

DayTimeDateLocationDescription
Mon10:00 - 11:0002.03.2020 - 09.03.2020EI 7 Hörsaal - ETIT VO Datenkommunikation
Tue10:00 - 11:0003.03.2020 - 10.03.2020EI 7 Hörsaal - ETIT VO Datenkommunikation
Data Communications - Single appointments
DayDateTimeLocationDescription
Mon02.03.202010:00 - 11:00EI 7 Hörsaal - ETIT VO Datenkommunikation
Tue03.03.202010:00 - 11:00EI 7 Hörsaal - ETIT VO Datenkommunikation
Mon09.03.202010:00 - 11:00EI 7 Hörsaal - ETIT VO Datenkommunikation
Tue10.03.202010:00 - 11:00EI 7 Hörsaal - ETIT VO Datenkommunikation

## Examination modalities

Schriftlich, keine Hilfsmittel erlaubt

Angeratener Pruefungstermin: 23.06.2020.

Wiederholungspruefung: im Herbst

Die Aufteilung der PruefungskandidatInnen auf die Raeume wird nach Anmeldeschluss per email bekanntgegeben.

Anmeldung fuer die Pruefung: Im TISS einen Monat bis eine Woche vor dem Pruefungstermin. Details werden ueber das TISS-Email-System ausgesandt.

Wichtig: Alle Hoererinnen und Hoerer der Vorlesung sind gebeten, die Vorlesung im TISS zu abbonieren, um Informationen insbesondere auch ueber Pruefungen zu erhalten.

## Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Thu12:00 - 15:0019.11.2020EI 7 Hörsaal - ETIT written02.11.2020 00:00 - 16.11.2020 00:00TISSSchriftliche Prüfung
Wed12:00 - 15:0013.01.2021EI 7 Hörsaal - ETIT written31.12.2020 00:00 - 11.01.2021 00:00TISSSchriftliche Prüfung

## Course registration

Begin End Deregistration end
01.03.2020 01:00

Registration modalities:

Bitte um Anmeldung damit ich Sie in TUWEL hinzufügen kann.

## Curricula

Study CodeSemesterPrecon.Info
033 235 Electrical Engineering and Information Technology 2. Semester

## Literature

Martin Bossert und Sebastian Bossert: Mathematik der digitalen Medien: präzise, verständlich, einleuchtend, VDE- Verlag, 2010, ISBN: 978-3-8007-3137-4.

German