700.170 (24W) Communication Systems Engineering

Wintersemester 2024/25

Registration possible from
30.08.2024 00:00

First course session
07.10.2024 15:15 - 16:45 HS C On Campus
Next session:
14.10.2024 15:15 - 16:45 HS C On Campus

Overview

Lecturer
Course title german Communication Systems Engineering
Type Lecture
Course model Attendance-based course
Hours per Week 2.0
ECTS credits 3.0
Registrations 0
Organisational unit
Language of instruction Englisch
Course begins on 07.10.2024
eLearning Go to Moodle course

Time and place

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Course Information

Intended learning outcomes

This lecture allows to acquire the methods and the tools to analyze and understand a communication system.  The learning outcomes are: 

  • Principles and relevant concepts in communication systems engineering.
  • Mathematical description of a system. 
  • Knowledge of signaling theory with application to communication systems.
  • Element of probability and random processes
  • Methods for analyzing performance of communication systems.

Teaching methodology

  • Lectures with slides and the aid of the white board
  • Practical examples
  • The lecture is accompanied by a lab (Kurs) where the concepts explained in the lecture are applied through specific exercises and numerical analyzes using Matlab. 

Course content

The lecture Communications  Systems Engineering deals with the most important concepts and techniques for the transmission of signals and data. It first provides the tools for signal representation and analysis. Then, it describes fundamental techniques to transmit data over a communication channel. The lecture is accompanied by a Kurs where the concepts explained in the lecture are recalled through exercises and numerical examples in MATLAB/SIMULINK.

The lecture program is the following: 

  • Introduction to communication systems
  • Basics of signal representation and properties
  • Fourier series for periodic continuous time signals
  • Convolution of two signals
  • Fourier transform for continuous time signals
  • Complex representation of bandpass signals
  • Baseband representation of systems
  • Review of basic concepts of  theory of probability
  • Basics of random processes
  • Analog modulation techniques (linear, Am and FM modulations)
  • Digital base band modulation 
  • Receiver for  digital modulation 
  • Bandpass digital modulation (linear and continuous phase modulation) 

Prior knowledge expected

  • Mathematics: functions and signals, integration
  • Elements of probability: random variables and statistical description, expectation 

Literature

  • L. W. Couch II, Digital and Analog Communication Systems, Pearson, 2013. In particular, Chapter 2, 4, 6 (signals, systems, random processes); Chapter3 and 5 (we only a cover principles of modulation)
  • Slides and class notes.

Examination information

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.

Examination methodology

  • written test (1.5 hours)
  • oral exam and discussion about the written test (approx. 15 min) 

Examination topic(s)

Topics of the lectures. Sample of written test will be provided. 

Assessment criteria / Standards of assessment for examinations

Written test: lecture topics

Oral exam: discussion on the written test and related topics

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Bachelor's degree programme Information and Communications Engineering (SKZ: 289, Version: 22W.1)
    • Subject: Signale und Systeme (Compulsory subject)
      • 7.3 Nachrichtentechnik ( 0.0h VO / 3.0 ECTS)
        • 700.170 Communication Systems Engineering (2.0h VO / 3.0 ECTS)
          Absolvierung im 3. Semester empfohlen
  • Bachelorstudium Informationstechnik (SKZ: 289, Version: 17W.1)
    • Subject: Signale und Systeme (Compulsory subject)
      • 6.3 Nachrichtentechnik ( 0.0h VO / 3.0 ECTS)
        • 700.170 Communication Systems Engineering (2.0h VO / 3.0 ECTS)
          Absolvierung im 4. Semester empfohlen
  • Bachelorstudium Technische Mathematik (SKZ: 201, Version: 17W.1)
    • Subject: Informationstechnik (Compulsory elective)
      • 14.2 Nachrichtentechnik ( 2.0h VO / 3.0 ECTS)
        • 700.170 Communication Systems Engineering (2.0h VO / 3.0 ECTS)
          Absolvierung im 2., 4., 6. Semester empfohlen
  • Bachelor's degree programme Robotics and Artificial Intelligence (SKZ: 295, Version: 22W.1)
    • Subject: Information and Communications Engineering (Compulsory subject)
      • 5.4 Communication Systems Engineering ( 2.0h VO / 3.0 ECTS)
        • 700.170 Communication Systems Engineering (2.0h VO / 3.0 ECTS)

Equivalent courses for counting the examination attempts

Wintersemester 2023/24
  • 700.170 VO Communication Systems Engineering (2.0h / 3.0ECTS)
Wintersemester 2022/23
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)
Wintersemester 2021/22
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)
Wintersemester 2020/21
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)
Sommersemester 2020
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)
Sommersemester 2019
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)
Sommersemester 2018
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)
Sommersemester 2017
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)
Sommersemester 2016
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)
Sommersemester 2015
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)
Sommersemester 2014
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)
Sommersemester 2013
  • 700.170 VO Nachrichtentechnik (2.0h / 3.0ECTS)