Communications Engineering (English-Taught Master Study Program): Modules

 

Lists of modules of the current semester

If you follow the links to our CAMPUS-system, please make sure that the right semester is being displayed (you can choose the semester in the right upper corner of the screen)!

 

Communications Engineering: Module Catalogue A (12-20 credits required)

Forward Error Correction and Digital Modulation (Module 7101)

This is the English counterpart of the German lecture 'Advanced Coding and Modulation'. This English course is in large parts congruent with the alternative lecture Advanced Coding and Modulation (ACM, German lecture with English documentation).

The lecture Forward Error Correction and Digital Modulation addresses the aspects of channel coding and digital modulation in modern communication systems.

The first part of the lecture covers different standard techniques of channel coding for error correction and error detection: linear block codes; cyclic codes; convolutional codes and their decoding; turbo codes;

In the second part the lecture deals the baseband and the bandpass transmission.

Digital modulation, intersymbol Interference, matched filter.

Furthermore, applications are discussed such as

GSM (cyclic codes, convolutional codes); UMTS (Turbo codes)

Credits: 4         Contact hours: 4           more information in the CAMPUS-system

Estimation and Detection Theory (Module 7102)

- Review of probability theory
- Detection theory: Binary decisions (Single observation, Multiple observations, waveform observatio)
- Detection theory: Multiple decisions
- Viterbi algorithm
- Symbol-by-symbol MAP algorithm
- Estimation fundamentals
- Estimation with Gaussian noise
- Properties of estimators
- Estimation of random processes: Kalman filter, Wiener filter

Credits: 4         Contact hours: 3           more information in the CAMPUS-system

Ad-Hoc Networks: Architectures and Protocols (Module 7103)

- Ad hoc networks and their functionalities
- Path discovery in ad hoc networks 
- MAC layers for wireless networks 
- Energy efficient protocols

Credits: 4               Contact hours per week: 3              more information in the CAMPUS-system

Principles and Architectures of Cognitive Radios (Module 7104)

Content of this lecture:

- Software defined radios

- Dynamic spectrum access

- Radio intelligence

- Optimization of communication networks using machine learning

- Modeling of interactions between cognitive radios

Credits: 4               Contact hours per week: 3              more information in the CAMPUS-system

Mobile Radio Networks 1 (Module 7105)

- Radio wave propagation models
- Concepts of cellular systems
- Handover mechanisms
- System architecture of modern cellular systems
- Logical and physical channels
- System security in voice networks

Credits: 4              Contact hours per week: 3             further information in the CAMPUS-System

Mobile Radio Networks 2 (Module 7106)

- DSS technologies
- CDMA technologies
- Pseudo random number generators in wireless networks
- IEEE 802.11 wireless LAN standard
- IEEE 802.15.1 Bluetooth standard
- ZigBee standard

Credits: 4               Contact hours per week: 3              further information in the CAMPUS-System

Algorithm Design for Digital Receivers (Module 7107)

- Modulation
- General digital transceiver model
- Digital receiver principles
- Bandpass sampling
- Optimum ML receiver for constant synchronization parameters
- Systematic synthesis of synchronization algorithms based on the ML criteria
- Digital algorithm for timing recovery
- Timing adjustment by interpolation
- Rate adaptation and modulation
- Phase synchronization
- Frequency estimation
- Synchronizer performance analysis
- Fading channel models
- Optimum receiver for time varying channels

Credits: 4               Contact hours per week: 3              further information in the CAMPUS-System

Signal Processing in Multi-Antenna (MIMO) Communication Systems (Module 7108)

Major topics of the lecture include:

- Models for fading channels (single and multi-antenna case): Parameters of fading channels - Modulation method OFDM - Concepts for multi-antenna transmission
- Beamforming (beam forming)
- Spatial diversity
- Spatial multiple transmission (spatial multiplexing)
- Important theorems of matrix algebra
- Matrix models of the transmission in multi-antenna (MIMO) systems: Transmission capacity of MIMO systems, diversity in MIMO systems
- Optimal and suboptimal data detection
- Channel estimation
- Iterative Receiver

Credits: 4               Contact hours per week: 3              further information in the CAMPUS-System

Advanced Topics in Signal Processing and Communication (Module 7109)

- Characterization of random signals, formulation of detection and estimation problems under noise and variations, higher-order statistics
- Statistical similarity and modeling
- Methods of signal and parameter estimation: Least squares and SVD methods, Wiener filter and linear prediction, - Bayes estimation, maximum-likelihood estimation, robust estimaton
- Orthogonality and correlation analysis, orthogonal transforms
- Amplitude/phase relationships, Hilbert transform
- Signal and parameter spaces, partitioning methods.
- Frequency and scale spaces, combined time/frequency analysis, multi-rate and multi-resolution sampling, filterbanks and wavelet transform
- Extension of sampling and systems theory for multiple dimensions
- Non-uniform sampling
- Application examples in communication systems, signal analysis and systems optimization

Credits: 4         Contact hours: 3           more information in the CAMPUS-system

 

Lists of modules of the current semester

If you follow the links to our CAMPUS-system, please make sure that the right semester is being displayed (you can choose the semester in the right upper corner of the screen)!

 

Communications Engineering: Module Catalogue B (8-16 credits required)

Multimedia Communication Systems 1 (Module 7201)

- Introduction: Concepts and terminology, signal sources and acquisition, sampling and digital representation of multimedia signals
- Perceptual properties of vision and hearing
- Analysis and Modeling: Fourier Spectra, correlation analysis, autoregressive models, Markov models;
- Quantization and coding: Statistical foundations of information theory; scalar quantization, coding theory, rate-distortion optimization of quantizers, entropy coding, vector quantization, sliding block coding
- Still image coding: Compression of binary images, vector quantization of Images, predictive coding, transform coding, coding based on similarity properties, component based coding
- Video coding: Methods without motion compensation, hybrid video coding, MC prediction coding using the Wavelet Transform, spatio-temporal frequency coding with MC, encoding of motion parameters, model based video coding
- Audio coding: Coding of speech signals, waveform coding of audio signals, parametric coding of audio and sound signals
- Applications and standards: Convergence of digital multimedia services, adaptation to channel characteristics, digital broadcast, media streaming, interoperability and compatibility, definitions at systems level
- Still image coding standards: JBIG, JPEG, video coding standards: H.26x, MPEG-x, audio coding standards: Speech, Music and Sound;
- Quality measurement: Objective signal quality measurements, subjective assessment

Credits: 4              Contact hours per week: 3             further information in the CAMPUS-system

Multimedia Communication Systems 2 (Module 7202)

- Pre- and postprocessing: Nonlinear filters, signal enhancement, amplitude-value transformations, interpolation
- Features of multimedia signals: Color, texture, edge analysis, feature point detection, contour and shape analysis, correspondence analysis, motion analysis, disparity and depth analysis, mosaics, face detection and description, audio signal features
- Feature transforms and classification: Feature transforms, feature value normalization and weighting, feature-based comparison, feature-based classification
- Signal decomposition: Segmentation of image signals, segmentation of video signals, segmentation and decomposition of audio signals
- Signal composition, rendering and presentation: Composition and mixing of visual signals, warping and morphing, viewpoint adaptation, frame rate conversion, rendering of image and video signals, composition and rendering of audio signals
- Applications and standards: Content-based media access: Content protection, interaction with content multimedia content description standard MPEG-7
- Quality measurements: Classification quality; quality of signal analysis and decomposition

Credits: 4              Contact hours per week: 3             further information in the CAMPUS-System

Advanced Methods of Cryptography (Module 7203)

Advanced public key encryption

- Side channel attacks
- Cryptographic hash functions
- Identification and entity authentication
- Elliptic curve cryptography
- Quantum cryptography

Credits: 4              Contact hours per week: 4             further information in the CAMPUS-System

Acoustic Virtual Reality (Module 7204)

- Basics
- Sound field and wave equations
- Sound sources
- Sound fields in rooms
- Geometrical acoustics
- Psychological room acoustics
- Binaural hearing
- Binaural technique
- Acoustical computer simulations
- Ray Tracing, mirror image sources
- Auralisation
- Real-time auralisation
- Binaural synthesis
- Room acoustical real-time auralisation, multimodal VR scenes

Credits: 4               Contact hours per week: 3              further information in the CAMPUS-System

DSP Design Methodologies and Tools (Module 7205)

Inhalt:

- Introduction: Definition of embedded systems; design challenges; design methodologies
- System design: System design methodologies; requirements and specification
- Instruction sets: Basic classification of computer architecture; assembly language; examples of software assembly instruction-set
- Microprocessors: Various I/O mechanism; supervisor mode, exceptions, traps; co-processor
- Designing with microprocessors: Architectures and components (software, hardware); debugging; manufacturing testing
- Program design & analysis: Design patterns; representation of programs; assembling, linking
- VLSI implementation: Importance of VLSI; Moore's Law; VLSI design process
- RTL components: Shifters; adders; multipliers
- Architecture and chip design: Basics of register-transfer design; data path, controller; ASM chart; VHDL, Verilog overview
- CAD systems and algorithms: CAD systems; placement and routing; layout analysis

Credits: 4               Contact hours per week: 3              further information in the CAMPUS-System

Antenna Engineering (Module 7206)

The course introduces the basic properties of antennas and the underlying physical principles. It includes the following topics:

- Introduction

- Properties of Antennas

- Antenna Modelling and Design

- Antenna Types

- Quasi-Optical Antennas

- Propagation of Electromagnetic Waves

- Antennas and Environment

- Antenna Arrays

- Antenna Circuits

-  Antenna Measurements

Credits: 4               Contact hours per week: 3              further information in the CAMPUS-System

High Frequency Electronics (Module 7207)

High Frequency Electronics instructs the design and basic aspects of RF nonlinear circuits.

Starting with the basics:
- Analytic models of nonlinear circuits
- Taylor, Voltera, nonlinear Fourier, parametric calculation

Futher focus on:
- Large signal linear PA behaviour
- SMAPs
- Wideband PAs
- Parametrics amplifiers
- Frequency converters, frequency multipliers
- Oscillators
- RP switches

Credits: 4             Contact hours per week: 3        more information in the CAMPUS-system

Electronic Noise in Devices and Circuits (Module 7208)

- N port theory (parameter representations, transformations, reciprocity, Norton equivalents)
- Scattering parameters (scattering matrices, wave sources, scattering transfer parameters)
- Basic facts about noise (power spectral density, Wiener-Khintschin theorem, Wiener-Lee theorem, electronic noise, noisy 2-ports, shot noise, Johnson-Nyquist noise, general noise, noise measurement)
- Gain definitions and stability (gain definitions, unilateralization, stability criteria)
- Noise in devices (impedance field method, noise models for diodes, BJTs and MOSFETs) 
- Noise in circuits (circuit level calculation of noise, noise figure)

Credits: 4              Contact hours per week: 3             further information in the CAMPUS-System

Radar Systems (Module 7209)

Radar Systems addresses the design and basic aspects of radar systems Starting with the fundamentals:  

- History of radar  
- Radar principle  
- Radar equation for different cases  
- Radar displays, transmitters, and receivers  
- Pulse radar  
- CW radar and Doppler shift  
- FMCW radar

Further focus on:  
- Bistatic radar systems  
- Passive radar  
- Radiometry  
- Radar in Aviation  
- Weather radar  
- Automotive radar systems  
- SAR

Credits: 4           Contact hours per week: 3             more information in the CAMPUS-system

Optical Telecommunications 1: Devices (Module 7210)

We will cover waveguiding, optical modes, planar photonic circuits, coupled-mode theory, basics of nonlinear optics, lasers and amplifiers, multiplexers, modulators and photodetectors.

Students are expected to gain an advanced understanding of devices used for optical data transmission.

Credits: 4                   Contact hours per week: 3                       further information in the CAMPUS-System

Optical Telecommunications 2: Systems (Module 7211)

We will cover optical receiver architectures, basics of signal analysis, the impact of bandwidth limitations, noise and fiber nonlinearities on optical data links, optical keying, metro and long-haul networks, fiber-to-the-home networks, datacom systems and analog optical links.

Students are expected to gain an advanced understanding of optical data transmission systems.

Credits: 4                                 Contact hours per week: 3          further information in the CAMPUS-System

Fundamentals of Big Data Analytics (Modul 7212)

  • Multivariate distributions
  • Dimensionality reduction (principal component analysis, multidimensional scaling)
  • Classification and clustering (discriminant analysis, k-means clustering)
  • Support vector machines
  • Machine learning
  • Community detection
  • Compressed Sensing

 

Credits: 4                     Contact hours per week: 3                      further Information in the CAMPUS-System

 

Lists of modules of the current semester

If you follow the links to our CAMPUS-system, please make sure that the right semester is being displayed (you can choose the semester in the right upper corner of the screen)!

 

Communications Engineering: Module Catalogue C (8 credits required)

Signals, System and Communication (Module 7301)

- Elementary signals and basic systems properties
- Linear time-invariant systems
- Fourier series representation
- Fourier analysis of LTI systems
- Continuous-time Fourier transform
- Discrete-time Fourier transform
- Sampling
- Communication systems 1- Modulation
- Communication systems 2- Optimization of receivers
- Communication systems 3- Statistical description of signals and receivers, error characteristics
- Communication systems 4- Binary transmission methods
- Laplace Transform
- Z-Transform

Credits: 2               Contact hours per week:4               ´further information in the CAMPUS-system

Information Theory and Source Coding (Module 7302)

.The lecture contents are basically organized in two blocks:

On the one hand, the basics of Information Theory are introduced and applied to the field of data encoding. The theory comprises the following elements, accompanied by numerous examples:

- Discrete memoryless sources and sources with memory entropy, conditional entropy, and 

- Mutual information entropy coding (Shannon code, Fano code, Huffman code, Facsimile) and 

- Performance limits of data compression 

The second block extends Information Theory and establishes the principles of speech signal encoding. Eventually, the lecture leads to an overview of the state-of-the-art of speech coding technology and its applications, as for example mobile radio. The following topics are discussed in particular:

- Continuous (analog) sources with memory 

- Sampling and quantization of analog signals 

- Introduction to rate-distortion theory 

- Linear prediction theory and differential waveform coding 

- and an overview about the standards and applications of speech coding

Credits: 2              SWS: 3             further information in the CAMPUS-system

Communication Protocols (Module 7303)

The course starts with a comprehensive review of relevant topics in communication networks to build the foundation for further studies on specific protocol designs and their practical implications.

In particular, the course initially reviews:

- ISO/OSI layer model
- Data link layer protocol principles (sensing, error correction)
- Forwarding and Routing
- TCP/IP basics: Addressing, congestion control

After review, in-depth analysis of the following topics will be conducted:

- Communication protocols used in industrial practice: HTTP web service protocol - DNS for name resolution - SIP/RTP for voice services
- TCP - the connection oriented protocol: congestion control algorithms - deployment in heterogeneous networks
- P2P overlay networks and principles: hash trees and hash chains - central vs. distributed infrastructures - coexistence with existing infrastructure - legal implications
- Design of high-performance algorithms: hardware-customized algorithms - trade off considerations

Credits: 2              SWS: 3             further information in the CAMPUS-system

RF Systems (Module 7304)

Fundamentals of an RF transmission as illustrated by the mobile system GSM and a serial transmission as an example for an optical transmission line.

- GSM RF specifications: Requirements of the RF part of a cell phone.

- Fundamentals of Modulation Theory: FM, AM, GMSK and QAM.

- System characteristics: noise figure, intermodulation, total harmonic distortion.

- Basic transmitter concepts: FM and AM modulated systems, i. e. PLL based modulators, up-conversion transmitters, direct modulators.

- Basic receiver concepts: Heterodyne, homodyne and Low-IF receiver.

- Level planning: noise figure, gain, compression, intermodulation.

- GSM system specifications: separations of requirements in blocks, architecture selection.

- Serial data transmission: Optical transmission, clock and data recovery

Credits: 2              SWS: 3             further information in the CAMPUS-system