Course Guide
Masters Course
“Digital Communications”
Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute of Electrical and Information Engineering
Date: 24 August 2015
Contact:
Institute of Electrical and Information Engineering
Faculty of Engineering
Christian-Albrechts-Universität zu Kiel
Kaiserstraße 2
D-24143 Kiel, Germany
E-Mail: digcom@tf.uni-kiel.de
Masters Course “Digital Communications” – Course Guide
2
Table of Contents
1. General Aim .......................................................................................................................... 5 2. Schedule ............................................................................................................................... 6 3. Compulsory Modules ............................................................................................................ 7 Advanced Signals and Systems ...................................................................................................... 7 Advanced Digital Signal Processing.............................................................................................. 10 Information Theory and Coding I ................................................................................................... 13 Information Theory and Coding II .................................................................................................. 16 Wireless Communications (DSP) .................................................................................................. 19 Optical Communications................................................................................................................ 22 Digital Communications ................................................................................................................. 25 Wireless Communications (RF) ..................................................................................................... 27 Communications Lab ..................................................................................................................... 29 Real-time Signal Processing Lab .................................................................................................. 31 Advanced Topics Lab and Seminar .............................................................................................. 33 German Language Course ............................................................................................................ 35 4. Technical Elective Modules ................................................................................................ 36 4.1.Category “Applied Communications and Networks“ ..................................................... 36 Numerical Simulation of Analog and Digital Communication Systems ......................................... 36 Advanced Wireless Communications (DSP) ................................................................................. 39 High-speed Communication Networks .......................................................................................... 42 Advanced Photonic Communication Systems............................................................................... 44 Secure Communications ............................................................................................................... 47 4.2.Category “Communication Devices” ............................................................................. 48 Digital Electronics .......................................................................................................................... 48 Radio Frequency Identification and Security ................................................................................. 51 Microwave Filters: Theory, Design, and Realization ..................................................................... 54 Underwater Techniques ................................................................................................................ 56 Photonic Components ................................................................................................................... 59 Digital Systems .............................................................................................................................. 61 4.3.Category “Applied Signal Processing“ .......................................................................... 62 Neuromorphic Engineering ............................................................................................................ 62 Optimization and Optimal Control ................................................................................................. 64 Micro and Millimeter Wave Photonics ........................................................................................... 66 Introduction to Radar Signal Processing and Algorithms .............................................................. 68 Applied Nonlinear Dynamics ......................................................................................................... 71 Adaptive Filters .............................................................................................................................. 73 Pattern Recognition ....................................................................................................................... 76 Time Series Analysis ..................................................................................................................... 79 Neural Networks ............................................................................................................................ 82 Masters Course “Digital Communications” – Course Guide
3
Signal Processing for Medical Applications – Frequency Domain Analysis ................................. 85 Multimedia Communications ......................................................................................................... 88 Embedded System Design ............................................................................................................ 88 5. Non-technical Elective Modules ......................................................................................... 89 Economics I ................................................................................................................................... 89 Economics II .................................................................................................................................. 91 6. Master Thesis ..................................................................................................................... 93 Master Thesis ................................................................................................................................ 93 Masters Course “Digital Communications” – Course Guide
4
1. General Aim
Successful participants of the study program „Digital Communications“, who acquired the
degree of a Master of Science, have a solid knowledge in the fields of information and
communication engineering (signals, systems, information) as well as digital
telecommunication technology (coding, modulation, statistics, cryptology). Beyond, they
possess a fundamental knowledge in numerous applications of digital communications, e. g.,
optical, wireless, or multi-media communications.
They are able to treat practical problems in the field of digital communications as well as in
adjacent domains purposively, to analyze and structure complex problems, to apply the
acquired standard techniques to problem solutions, but also, based on literature search, to
find and realize new approaches. This also results in the ability to generally scrutinize known
methods and to extend them scientifically.
They are able to present their ideas and results orally and in written form according to
scientific standards.
With this ability and knowledge, they are competent to work as engineers in the field of
Digital Communications, e. g., in research or development groups in industry, as consultants,
team members, or leaders in projects, or as scientists in academia.
Masters Course “Digital Communications” – Course Guide
5
Exercise
SWS
Digital Communications
3
2
5
7
Advanced Signals and Systems
3
2
5
7
Advanced Digital Signal Processing
2
1
3
4
Information Theory and Coding I
2
1
3
4
Module
1
Lab
SWS
Lecture
SWS1)
Semester
2. Schedule
4
4
4
Non-technical Elective I 2)
4
4
6
24
32
Information Theory and Coding II
2
1
3
4
Optical Communications
2
1
3
4
Wireless Communications (DSP)
2
1
3
4
Wireless Communications (RF)
2
1
3
4
ca. 6
8
2
4
20
28
ca. 15
20
2
4
6
6
23
30
Technical Electives
Real-time Signal Processing Lab
2
Summe
3
Technical Electives
Non-technical Elective II
2
Advanced Topics Lab
6
Summe
4
Sum
1)
2)
CP
Communications Lab
Summe
2
SWS1)
Master Thesis
30
Summe
30
34
17
16
67
120
SWS = 45-minutes-course per week of the lecture period (duration of each lecture period: 15 weeks)
Non-technical Elective: According to the subject specific examination regulations, the course “Grundkurs
Deutsch für ausländische Studierende” is – in general – a compulsory non-technical course for the
students of this masters’ course.
Masters Course “Digital Communications” – Course Guide
6
3. Compulsory Modules
Module number
etit-506
Module title
Advanced Signals and Systems
Module level
Core subject
Abbreviation
ASS
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Digital Signal Processing and System Theory
Responsible staff member
Prof. Dr.-Ing. G. Schmidt
Lecturer
Prof. Dr.-Ing. G. Schmidt and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory subject in term 1 of the masters course
“Digital Communications“.
Teaching methods/SWS
3 SWS lecture
2 SWS exercise
Work load
45 h (1.5 credits) lecture (course attendance)
45 h (1.5 credits) lecture (revision)
30 h (1.0 credits) exercise (course attendance)
90 h (3.0 credits) exercise (preparation of exercises)
Credits
7
Prerequisites according to
examination order
-
Recommended prerequisites
Basic knowledge of signals and systems obtained during
bachelors course
Learning outcome
Successful participants shall have gained competence to
deal with 1-D abstract signals in time and frequency
domains, with enhanced ability to deterministic, continuous
Masters Course “Digital Communications” – Course Guide
7
cases as known from their B.Sc. courses, plus additional
acquaintance with discrete and / or stochastic signals.
They are to be able to treat the influence of (mainly: linear)
systems on such signals, know about typical effects (like
band-limitation), and have a basic understanding of
realizations as described by signal-flow graphs and statespace descriptions. Also, the basic ideas for a 2-D
extension are to be known.
Content
Discrete signals
Stochastic signals
Spectra
Transformations
Spectra of stochastic signals
Discrete systems
Discrete linear systems and their response to deterministic
signals
Discrete linear systems and their response to stochastic
signals
Idealized discrete linear time-invariant systems
Hilbert transformation
State-space description
From input-output to state-space description
From signal-flow graphs to state-space descriptions
Generalizations
transformations
for
signals,
systems,
and
spectral
Assessment of course
achievements
During the lecture period, a voluntary test is offered. During
the examination period following the course, a written
exam (duration: 120 min.) is held.
Media
Beamer (Slides)
Blackboard
Problems distributed prior to exercises
Literature
Oppenheim, A.V., Willsky, A.S., Nawab, H.: Signals and
Systems. Prentice Hall, Englewood Cliffs, USA, 1996.
Papoulis, A., Pillai, S.U.: Probability, Random Variables,
and Stochastic Processes. McGraw-Hill Inc., New York,
USA, 2002.
Mitra, S.K.: Digital Signal Processing – a Computer-based
Approach. McGraw-Hill, New York, USA, 1998.
Masters Course “Digital Communications” – Course Guide
8
An updated bibliography is handed out during the lecture.
Masters Course “Digital Communications” – Course Guide
9
Module number
etit-509
Module title
Advanced Digital Signal Processing
Module level
Core subject
Abbreviation
ADSP
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or term 2
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Digital Signal Processing and System Theory
Responsible staff member
Prof. Dr.-Ing. G. Schmidt
Lecturer
Prof. Dr.-Ing. G. Schmidt and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 500) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory subject in term 1 of the masters course
“Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 credits) lecture (course attendance)
ca. 30 h (1.0 credits) lecture (revision)
ca. 15 h (0.5 credits) exercise (course attendance)
ca. 45 h (1.5 credits) exercise (preparation of exercises)
Credits
4 LP
Prerequisites according to
examination order
None
Recommended prerequisites
Signals and Systems I (module etit-104)
Signals and Systems II (module etit-108)
Masters Course “Digital Communications” – Course Guide
10
Learning outcome
Students attending this lecture should be able to
implement efficient and robust signal processing
structures. Knowledge about moving from the analog to the
digital domain and vice versa including the involved effects
(and trap doors) should be acquired. Also differences
(advantages and disadvantages) between time and
frequency domain approaches should be learnt.
Content
Digital processing of continuous-time signals

Sampling and sampling theorem

Quantization

AD- and DA-conversion
DFT and FFT

Leakage effect

Windowing

FFT structure
Digital filters

FIR filters
o Structures
o Linear phase filters
o Least-squares frequency domain design

IIR-filters
o Structures
o Finite word-length effects
Multirate digital signal processing

Decimation and interpolation

Filters in sampling rate alteration systems

Polyphase decomposition and efficient structures

Digital filter banks
Spectral estimation

Periodogram
 ARMA modeling
Assessment of course
achievements
Written examination (90 min.) in the examination period
after the course.
Media
Blackboard, beamer presentation
Literature

J.G. Proakis, D.G. Manolakis: Digital Signal
Processing: Principles, Algorithms, and Applications,
Masters Course “Digital Communications” – Course Guide
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Prentice Hall, 1996, 3rd edition

S.K. Mitra: Digital Signal Processing: A ComputerBased Approach, McGraw Hill Higher Education,
2000, 2nd edition

A.V. Oppenheim, R.W. Schafer: Discrete-time signal
processing, Prentice Hall, 1999, 2nd edition

M.H. Hayes Statistical Signal Processing and
Modeling, John Wiley and Sons, 1996
Masters Course “Digital Communications” – Course Guide
12
Module number
etit-510
Module title
Information Theory and Coding I
Module level
Core subject
Abbreviation
IT1
Subtitle (if applicable)
Advanced Information Theory
Courses (if applicable)
-
Study term
Term 1 or term 2
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Information and Coding Theory Lab
Responsible staff member
Prof. Dr.-Ing. Peter A. Höher
Lecturer
Prof. Dr.-Ing. Peter A. Höher and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 500) in term 1 or 2 of
the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory subject in term 1 of the masters course “Digital
Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 hours (1,0 credit points) lecture (online presence)
ca. 15 hours (0,5 credit points) exercise (online presence)
ca. 15 hours (0,5 credit points) exercise (self studies)
ca. 30 hours (1,0 credit points) lecture (post processing)
ca. 30 hours (1,0 credit points) preparation for examination
Credits
4 LP
Prerequisites according to
examination order
-
Recommended prerequisites
„Theoretische
Grundlagen
Masters Course “Digital Communications” – Course Guide
der
Informationstechnik“
13
(Foundations on Information Technology) (module etit-115)
Learning outcome
Since our society is moving towards an information society,
the need for obtaining a core competence in this area is
essential. Data compression techniques (like JPEG and
mp3), error detection and error correction techniques as
well as data encryption techniques are all based on
information theory.
By means of this module, the students learn the basics of
information theory at a masters level. Upon a successful
completion of this course, students acquire skills to
understand fundamental bounds on information theory, and
to develop new system concepts.
The course covers
elements of a classical interactive on-line lecture/exercise,
as well as team-working elements based on tutorial
material. The students learn to solve problems both
independently as well as team-oriented.
Content
Fundamentals:
Shannon’s source coding theorem, Shannon’s channel
coding theorem, Shannon’s crypto system
Multiuser information theory:
Broadcast channel, multiple-access channel, relay channel,
channel capacity for Gaussian multiuser channels
Joint source and channel coding:
Lossy source coding, Shannon’s rate-distortion theory
Network coding
Assessment of course
achievements
Written examination (90 min.) in the examination period
after the course.
Media
textbook: Peter Adam Höher, Grundlagen der digitalen
Informationsübertragung, Springer-Vieweg, 2nd ed., 2013
(also available as an e-book).
slides
blackboard
team-working
Literature
Cover, T.M. und Thomas, J.A., Elements of Information
Theory, John Wiley & Sons, 2nd ed., 2006.
Lubbe, J.C.A.: Information Theory, Cambridge University
Press, 1997.
Yeung, R.W.: A First Course in Information Theory,
Masters Course “Digital Communications” – Course Guide
14
Springer, 2002.
Yeung, R.W.: Information Theory and Network Coding,
Springer, 2008.
Masters Course “Digital Communications” – Course Guide
15
Module number
etit-511
Module title
Information Theory and Coding II
Module level
Core subject
Abbreviation
IT2
Subtitle (if applicable)
Advanced Channel Coding
Courses (if applicable)
-
Study term
Term 1 or term 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering,
Information and Coding Theory Lab
Responsible staff member
Prof. Dr.-Ing. Peter A. Höher
Lecturer
Prof. Dr.-Ing. Peter A. Höher and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 500) in term 1 or 2 of
the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory subject in term 2 of the masters course “Digital
Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 hours (1,0 credit points) lecture (online presence)
ca. 15 hours (0,5 credit points) exercise (online presence)
ca. 15 hours (0,5 credit points) exercise (self studies)
ca. 30 hours (1,0 credit points) lecture (post processing)
ca. 30 hours (1,0 credit points) preparation for examination
Credits
4 LP
Prerequisites according to
examination order
Recommended prerequisites
„Theoretische
Grundlagen
Masters Course “Digital Communications” – Course Guide
der
Informationstechnik“
16
(Foundations on Information Technology) (module etit-115)
„Information Theory & Coding I”(module etit-510) is NO
prerequisite
Learning outcome
Since our society is moving towards an information society,
the need for obtaining a core competence in this area is
essential. Channel coding is applied in a wide range of
digital transmission and storage systems, like cellular radio
systems, data modems, satellite links, or CD/DVD/Blu-ray
discs.
By means of
this module, the students obtain a
fundamental understanding of channel coding at a masters
level. The course covers elements of a classical interactive
on-line lecture/exercise, as well as team-working elements
based on tutorial material. The students learn to solve
problems both independently as well as team-oriented.
Content
Fundamentals of channel coding: Block codes and
convolutional codes
LDPC codes: Tanner graph, belief propagation, optimization
of LDPC codes
Turbo codes: LLR algebra, BCJR algorithm, EXIT chart
analysis, density evolution
Coded Modulation: Trellis-coded modulation, multilevel
coding, bit-interleaved coded modulation, superposition
modulation
Polar codes
Assessment of course
achievements
Media
Literature
Written examination (90 min.) in the examination period
after the course.

textbook: Peter Adam Höher, Grundlagen der digitalen
Informationsübertragung, Springer-Vieweg, 2nd ed.,
2013 (also available as an e-book)

slides

blackboard

team-working
Lin, S., Costello, D.J.: Error Control Coding, Prentice-Hall,
2nd ed., 2004.
Richardson, T., Urbanke, R.: Modern Coding Theory,
Cambridge University Press, 2008.
Ryan, W.E., Lin, S.: Channel Codes: Classical and Modern,
Masters Course “Digital Communications” – Course Guide
17
Cambridge University Press, 2009.
Masters Course “Digital Communications” – Course Guide
18
Module number
etit-512
Module title
Wireless Communications (DSP)
Module level
Core subject
Abbreviation
WC1
Subtitle (if applicable)
Baseband Processing I
Courses (if applicable)
-
Study term
Term 1 or term 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering,
Information and Coding Theory Lab
Responsible staff member
Prof. Dr.-Ing. Peter A. Höher
Lecturer
Prof. Dr.-Ing. Peter A. Höher and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 500) in term 1 or 2 of
the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory subject in term 2 of the masters course “Digital
Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
30 hours (1.0 credits) lecture (course attendance)
30 hours (1.0 credits) lecture (revision)
15 hours (0.5 credits) exercise (course attendance)
45 hours
exercises)
Credits
4 LP
Prerequisites according to
examination order
-
Recommended prerequisites
-
(1.5 credit points) exercise (preparation of
Masters Course “Digital Communications” – Course Guide
19
Learning outcome
Digital radio systems consist of a software-oriented digital
signal processing (DSP) unit as well as a physical-oriented
transmission unit (antennas, amplifiers, mixers, etc.). This
course is devoted to fundamental signal processing
techniques, either implemented in software or in dedicated
signal processors.
The main goal of this course is that students acquire a basic
knowledge on the field of digital radio communications
matched to a master level in the area of electrical and
information engineering. Upon a successful completion of
this course, students acquire skills to understand the
technical background of digital radio systems. The students
learn to solve related problems on their own.
Content
Fundamentals: Wireless radio standards, classification of
wireless radio systems, cellularization, uplink und downlink,
multi-user access, frequency bands
Channel modelling: AWGN, Rayleigh/Rice fading, WSSUS
channel model, equivalent discrete-time channel model
Digital modulation schemes: PSK, QAM, CPM, OFDM. IDM
Multiple access techniques: FDMA, TDMA, CDMA, IDMA,
OFDMA
Equalization and channel estimation (for the example of
GSM)
MIMO systems (space-time codes, spatial multiplexing)
Assessment of course
achievements
Media
Literature
Written examination (90 min.) in the examination period
after the course.

textbook: Peter Adam Höher, Grundlagen der digitalen
Informationsübertragung, Springer-Vieweg, 2nd ed.,
2013 (also available as an e-book)

slides

blackboard
A.F. Molisch, Wireless Communications. IEEE Press -Wiley, 2005.
T.S. Rappaport, Wireless Communications -- Principles &
Practice.
Upper Saddle River, NJ: Prentice Hall, 1996.
J.G. Proakis, Digital Communications. New York, NY:
McGraw-Hill, 4th ed., 2001.
Masters Course “Digital Communications” – Course Guide
20
R. Steele, L. Hanzo, Mobile Radio Communications.
New York, NY: John Wiley & Sons, 2nd ed., 1999.
G.L. Stueber, Principles of Mobile Communication.
Boston, MA: Kluwer Academic Publishers, 1996.
Masters Course “Digital Communications” – Course Guide
21
Module number
etit-513
Module title
Optical Communications
Module level
Core subject
Abbreviation
Opt. Comm.
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or term 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering,
Chair for Communications
Responsible staff member
Prof. Dr.-Ing. Werner Rosenkranz
Lecturer
Prof. Dr.-Ing. Werner Rosenkranz and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 500) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory subject in term 2 of the masters course
“Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 LP) lecture (course attendance)
ca. 15 h (0.5 LP) lecture (revision)
ca. 15 h (0.5 LP) exercise (course attendance)
ca. 30 h (1.0 LP) exercise (revision)
ca. 30 h (1.0 LP) preparation for examination
Credits
4 LP
Prerequisites according to
examination order
-
Recommended prerequisites
Nachrichtenübertragung (module etit-114)
Masters Course “Digital Communications” – Course Guide
22
Learning outcome
The course teaches fundamentals of optical
communications and the required optical and electronic
components as well as the optical communication channel
based on a system oriented view. It will familiarize the
students with modern principles of optical communications.
Content
Survey: optical communications - systems and
applications
The Optical Transmission Channel: wave optical
description of fiber, slab waveguides, dielectrical
waveguides, propagation in cylindrical waveguides,
dispersion and attenuation in fibers, phase velocity, group
velocity, dispersion in singlemode fibers, transfer-function
of singlemode fiber, impact of dispersion, polarization and
optical power, nonlinear properties of fiber, optical Kerreffect, propagation equation, split step Fourier method,
impact on signal transmission, soliton transmission.
Optical Transmitters and Modulators: semiconductor
laser, materials, energy-band diagram, guidance of
laserbeam, mechanism of recombination, design of lasers,
Fabry-Perrot-resonator, lasing condition, singlemode
lasers, rate equations, Power-current-characteristic, direct
modulation of lasers, laser-chirp, small-signal analysis,
laser-frequency response, external modulators, elektroabsorption-modulator (EAM), Mach-Zehnder-modulator
(MZM). Optical Receivers: block diagram and model,
Photodiodes, noise performance, optical filter, Optical
Amplifiers: principle, main characteristics, noise
performance
Assessment of course
achievements
Written examination (90 min.) in the examination period
after the course
Media
The basic content is presented on a tablet PC and
projected with beamer. This basic content can be
downloaded by the students. Additional notes (about 20%
of total material) are filled in the presentation by
handwriting and beamer projection.
Literature
G.P. Agrawal.:“Fiber-Optic Communication Systems“,
Wiley, New York, 2002
G. Keiser: “Optical Fiber Communications“, 3rd edition,
McGraw-Hill, Boston, 2000
G.P. Agrawal: “Lightwave Technology” Wiley, Hoboken,
2005
I.P. Kaminow, Tingye Li, A.E.Willner: “Optical Fiber
Masters Course “Digital Communications” – Course Guide
23
Telecommunications VA, VB“, Academic
Diego, 2008.
Press, San
E. Voges, K. Petermann: “Optische
Kommunikationstechnik“, Springer, Berlin, 2002.
Masters Course “Digital Communications” – Course Guide
24
Module number
etit-514
Module title
Digital Communications
Module level
Core subject
Abbreviation
Dig. Comm.
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Chair for Communications
Responsible staff member
Prof. Dr.-Ing. Werner Rosenkranz
Lecturer
Prof. Dr.-Ing. Werner Rosenkranz and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory subject in term 1 of the masters course
“Digital Communications“
Teaching methods/SWS
3 SWS lecture
2 SWS exercise
Work load
45 h (1.5 credits) lecture (course attendance)
45 h (1.5 credits) lecture (revision)
30 h (1.0 credits) exercise (course attendance)
90 h (3.0 credits) exercise (preparation of exercises)
Credits
7 LP
Prerequisites according to
examination order
-
Recommended prerequisites
Basic knowledge in systems theory and analog
transmission
Learning outcome
To understand communications with a focus on modern
digital communications theory and systems. To be able to
apply the underlying methods for up-to-date examples of
real world systems. Emphasis is on modern digital data
transmission concepts and optimization of receivers. To
build a basis for subsequent related courses.
Content
 Elements of communication systems
Masters Course “Digital Communications” – Course Guide
25
 Transmission channels
 Source signals
 Digital baseband transmission
 Digital band pass transmission
Optimum receivers
Assessment of course
achievements
During the lecture period, a voluntary test is offered. During
the examination period following the course, a written
exam (duration: 180 min.) is held.
Media

Blackboard (basic element suited for supplementing
the available lecture notes)

Foils (copies available for download)

PowerPoint-presentations (copies available for
download)

Kammeyer, K.D.: Nachrichtenübertragung. B.G.
Teubner, Stuttgart, 2004.

Glover, I.A., Grant, P.M.: Digital Communications.
Prentice Hall, Harlow, 2004.

Ziemer, R.E., Peterson, R.L.: Digital Communication.
Prentice Hall, Upper Saddle River, 2001.

Lee, E.A., Messerschmitt, D.G.: Digital Communications. 3rd edition, Kluwer Academic Publishers, 2004.

Proakis, J.G.: Digital Communications. 4th edition, McGraw-Hill, 2001.
Literature
Masters Course “Digital Communications” – Course Guide
26
Module number
etit-516
Module title
Wireless Communications (RF)
Module level
Core subject
Abbreviation
WCRF
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or term 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering,
Wireless Communications
Responsible staff member
Prof. Dr.-Ing. Dirk Manteuffel
Lecturer
Prof. Dr.-Ing. Dirk Manteuffel and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 500) in term 1 or 2
of the masters courses “Electrical and Information
Engineering “ and “Electrical and Information Engineering
and Business Management”.
Compulsory subject in term 2 of the masters course
“Digital Communications “.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
30 hours (1.0 credits) lecture (course attendance)
30 hours (1.0 credits) lecture (revision)
15 hours (0.5 credits) and exercise (course attendance)
45 hours (1.5 credits) exercise (preparation of exercises)
Credits
4 LP
Prerequisites according to
examination order
BSc ETIT, BSc Wi-Ing ETIT or equivalent
Recommended prerequisites
„Grundlagen der Elektrotechnik I – III“ (modules etit-101,
etit-102 and etit-103)
Masters Course “Digital Communications” – Course Guide
27
„Elektromagnetische Felder I – II“ (modules etit-106 and
etit-110)
„Mathematik für Ingenieure I – III“ (modules MIng-1, MIng2 and MIng-3)
„Leitungstheorie“ (module etit-112)
Learning outcome
The participants of this module gain an overview of state of
the art rf principles in wireless communications:
Content
-
Development of Deterministic and statistic Channel
models
-
Understanding of the RF Chain of Wireless
Communication systems
-
Increasing channel capacity by MIMO
-
Wideband Techniques
-
Radio Propagation
-
Antennas
-
Transmitter and Receiver architecture
-
Link Budget
-
Multi Antenna Systems
-
Wideband Systems
Assessment of course
achievements
During the examination period following the module, a
written exam (duration: 90 min) is held.
Media
Black board, laptop presentations, printed Manuscript
Literature

J. S. Seybold: Introduction to RF Propagation. ISBN
978-0-471-65596-1, John Wiley & Sons, Inc., 2005.

Antennas & Propagation for Wireless Propagation
Systems. ISBN 978-0-470-84879-1, John Wiley &
Sons, Inc., 2007.
Masters Course “Digital Communications” – Course Guide
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Module number
etit-705
Module title
Communications Lab
Module level
Practical subject
Abbreviation
Comm. Lab
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or 2
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering
Responsible staff member
Prof. Dr.-Ing. W. Rosenkranz
Lecturer
Staff of Prof. Dr.-Ing. P. A. Höher, Prof. Dr.-Ing. W.
Rosenkranz and Prof. Dr.-Ing. G. Schmidt,
Language:
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 700) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory subject in term 1 of the masters course
“Digital Communications“.
Teaching methods/SWS
4 SWS laboratory
Work load
ca. 45 h (1.5 credits) laboratory (course attendance)
ca. 75 h (2.5 credits) laboratory (preparation of lab
projects)
Credits
4 LP
Prerequisites according to
examination order
-
Recommended prerequisites
Knowledge of basics obtained during bachelors course
Learning outcome
The students gain practical expertise with signals,
systems, and analysis methods for digital communications,
by means of computer-based and instrumentalmeasurement experiments.
Masters Course “Digital Communications” – Course Guide
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Content
Hands-on experiments and computer simulations
(MATLAB) on selected topics in communications and
related fields:
P1.
P2.
P3.
P4.
P5.
P6.
P7.
P8.
P9.
Introduction to MATLAB
LTI-Systems: State Equations and Simulation
PAM/PCM
Digital Modulation
Channel Coding
Equalization
Correlation, Coherence and Information Flow
Signal Sources and Spectrum Analysis
Source Coding: Data Compression Using the
Huffman and the Lempel-Ziv Algorithm
P10. Cryptology: Encryption and Authentication Using
the Asymmetric RSA Algorithm
P11. Optical Communication Basics
Assessment of course
achievements
Certificate after successful completion of laboratory
Media
Computer / MATLAB, transmission and measurement
equipment
Literature
During the lab course, a set of references is given for each
experiment.
Manuals are available for all experiments.
Masters Course “Digital Communications” – Course Guide
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Module number
etit-708
Module title
Real-time Signal Processing Lab
Module level
Practical subject
Abbreviation
Lab RtSP
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering
Responsible staff member
Prof. Dr.-Ing. G. Schmidt
Lecturer
Prof. Dr.-Ing. P. A. Höher,
Prof. Dr.-Ing. W. Rosenkranz,
Prof. Dr.-Ing. G. Schmidt
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 700) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory subject in term 2 of the masters course
“Digital Communications“.
Teaching methods/SWS
2 SWS lab + homework (“code preparation”)
Work load
60 h (2.0 credits) software development
50 h (1.75 credits) study of lab topic and presentation of
the lab presentation
7,5 h (0.25 credits) attendance of lab presentations
Credits
4 LP
Prerequisites according to
examination order
-
Recommended prerequisites
Knowledge of basics obtained during bachelors course
Learning outcome
Students acquire the ability to implement signal processing
algorithms with special emphasis on current real-time
Masters Course “Digital Communications” – Course Guide
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hardware platforms. Restrictions such as the available bit
widths, complexity, or the delay introduced by block
processing, AD and DA conversion or the algorithms
themselves should be reflected when choosing among
different processing structures and hardware types.
Content
At the beginning of the lab students obtain an introduction
into the hard- and software platform they will use during
the lab. Afterwards they will obtain real-world signal
processing problems or topics such as
‐
noise suppression for speech signals,
‐
equalization of loudspeakers, or
‐
software-defined radio,
which they should solve or implement with the tools
mentioned above in small teams. At the end of the lab
each group should give a short presentation about their
platform as well as their problem and their solution.
Assessment of course
achievements
Certificate after successful completion of laboratory
Media
-
Literature
During the seminar, a set of references is given for each
lab topic.
Masters Course “Digital Communications” – Course Guide
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Module number
etit-706
Module title
Advanced Topics Lab and Seminar
Module level
Practical subject
Abbreviation
ATL
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering
Responsible staff member
Prof. Dr.-Ing. P. A. Höher
Lecturer
Prof. Dr.-Ing. P. A. Höher, Prof. Dr.-Ing. W. Rosenkranz,
Prof. Dr.-Ing. G. Schmidt and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 700) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory subject in term 3 of the masters course
“Digital Communications“.
Teaching methods/SWS
4 SWS laboratory
2 SWS seminar + homework (“paper” preparation)
Work load
75 h (2.5 credits) study of seminar topic
60 h (2.0 credits) software development
37.5 h (1.25 credits) preparation of paper and presentation
7,5 h (0.25 credits) attendance of seminar presentations
Credits
6
Prerequisites according to
examination order
-
Recommended prerequisites
Knowledge of basics obtained during bachelors course and
successful completion of the module “Real-time Signal
Processing Lab” (module etit-708).
Masters Course “Digital Communications” – Course Guide
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Learning outcome
The students acquire the ability to do a literature research
on a given scientific topic, to evaluate this literature, to
extract central points, and to present a scientific topic in a
talk as well as a paper.
Furthermore, the students shall be competent to implement
their topic in a high-level language (e.g., Java, Matlab or
C/C++). The students are able to work in a team.
Content
Selected topics in digital communications and information
technology - which vary from semester to semester – are
studied and presented by groups of three to four students.
The presentation includes the demonstration of the
software developed during the team work and discussions
with the supervisors, and it takes place within a one-day
workshop.
Assessment of course
achievements
Certificate after successful completion of module
Media
Literature
During the laboratory and the seminar, a set of references
is given for each topic.
Masters Course “Digital Communications” – Course Guide
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Module number
Module title
German Language Course
Module level
Supplementary subject
Abbreviation
Language
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1
Frequency of offer
Each term
Responsible institute
Lektorat Deutsch als Fremdsprache
Responsible staff member
Martin Lange, M.A.
Lecturer
Martin Lange, M.A., and staff
Language
German
Assignment to the curriculum
For students without sufficient knowledge of the german
language: Compulsory subject in term 1 of the masters
course “Digital Communications“
Teaching methods/SWS
6 SWS/week, 12 teaching weeks
Work load
Homework, interim tests
Credits
6
Prerequisites according to
examination order
Participation in a placement test (for students with previous
knowledge of German)
Recommended prerequisites
-
Learning outcome
Basic skills to handle everyday situations in German such
as orientation, establishing contacts, shopping and the like
Content
German courses are offered at different levels (basic level
1,2,3; intermediate level 1,2,3; advanced level)
Assessment of course
achievements
Continuous coursework, homework, intermediate tests
Media
Lessons given in classrooms, partly media assisted, CD for
revision partially included in the teaching material.
Literature
The teaching material is determined based on the grading
and is specified in the preliminary course meeting.
Masters Course “Digital Communications” – Course Guide
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4. Technical Elective Modules
4.1.
Category “Applied Communications and Networks“
Module number
Module title
etit-611
Numerical Simulation of Analog and Digital
Communication Systems
Module level
In-depth elective
Abbreviation
NSN
Subtitle (if applicable)
Courses (if applicable)
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Chair for Communications
Responsible staff member
Dr.-Ing. J. Leibrich
Lecturer
Dr.-Ing. J. Leibrich
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 3 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 LP) lecture (course attendance)
ca. 15 h (0.5 LP) lecture (revision)
ca. 15 h (0.5 LP) exercise (course attendance)
ca. 30 h (1.0 LP) exercise (revision)
ca. 30 h (1.0 LP) preparation for examination
Credits
4 LP
Prerequisites according to
-
Masters Course “Digital Communications” – Course Guide
36
examination order
Recommended prerequisites
Nachrichtenübertragung (module etit-114)
Digital Communications (module etit-514)
Learning outcome
Numerical simulation as flexible and cost-efficient tool for
investigation into arbitrary communication systems is to be
understood. Basic techniques for transferring real systems
into computer programs are learned. The potential as well
as the limits of numerical simulation as method for
investigation is focused on. Finally, an overview over
programming techniques for efficient use of today’s
computer hardware is obtained.
Content
Introduction:
 Numerical Simulation as method of investigation
 Comparison with other methods of investigation
(experiments, theoretical modeling)
Basics:
 Description of communication systems by means of
block diagrams, implementation of block diagrams into
code
 Appropriate programming languages
 Signal sources (generators for random numbers,
PRBS,PRMS)
 Signal analysis (measurement of S/N for analog
systems, evaluation of bit error probability for digital
systems, estimation of power spectrum density)
 Implementation of linear systems
Applications:
 Simulation of analog systems (e.g. speech processing)
 Simulation of digital systems (e.g. optical high-speed
transmission systems)
 Parallel algorithms for efficient simulation on multi-core
computers
Assessment of course
achievements
Oral examination (30 min.) in the examination period after
the course
Media



Slide presentation (main medium)
Blackboard (for mathematical derivations)
Notebooks (for clarification of basic concepts) using
o MATLAB
Masters Course “Digital Communications” – Course Guide
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Literature
o C++
o MOVE-IT (simulation software)
 Lecture notes are offered for download
M.C. Jeruchim, P. Balaban, and K.S. Shanmugan,
Simulation of communication systems, New York, 1992.
J. Leibrich, Modeling and simulation of limiting impairments
on next generation’s transparent optical WDM transmission
systems with advanced modulation formats, Shaker, 2007
Masters Course “Digital Communications” – Course Guide
38
Module number
etit-621
Module title
Advanced Wireless Communications (DSP)
Module level:
In-depth elective
Abbreviation
WC2
Subtitle (if applicable)
Baseband Processing II
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Information and Coding Theory Lab
Responsible staff member
Prof. Dr.-Ing. Peter A. Höher
Lecturer
Prof. Dr.-Ing. Peter A. Höher and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2 of
the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 3 of the masters course
“Digital Communications “.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 hours (1,0 credit points) lecture (online presence)
ca. 15 hours (0,5 credit points) exercise (online presence)
ca. 15 hours (0,5 credit points) exercise (self studies)
ca. 30 hours (1,0 credit points) lecture (post processing)
ca. 30 hours (1,0 credit points) preparation for examination
Credits
Prerequisites according
examination order
4 LP
to -
Recommended prerequisites
-
Masters Course “Digital Communications” – Course Guide
39
Learning outcome
Digital radio systems consist of a software-oriented digital
signal processing (DSP) unit as well as a physical-oriented
transmission unit (antennas, amplifiers, mixers, etc.). This
course is devoted to advanced digital signal processing
techniques, either implemented in software or in dedicated
signal processors.
The students obtain specialized knowledge in the field of
digital radio communications matched to a master level in
the area of electrical and information engineering. Upon a
successful completion of this course, students acquire skills
to understand modern wireless communication techniques
and to design new schemes. The course covers elements
of a classical interactive on-line lecture/exercise, as well as
team-working elements based on tutorial material. The
students learn to solve problems both independently as well
as team-oriented.
Content
GSM extensions:
GPRS, EGPRS, EGPRS2, reduced-state equalization,
channel estimation, channel shortening, co-channel
interference cancellation
UMTS:
DS-CDMA, spreading sequences, scrambling, correlation
properties, rate adaptation, Rake receiver, multiuser
detection
LTE, LTE-A:
MIMO,
Space-time-codes,
spatial
beamforming, multi-user OFDM, OFDMA
Assessment of course
achievements
Media
Literature
multiplexing,
Oral examination in the examination period after the course.

textbook: Peter Adam Hoeher, Grundlagen der
digitalen Informationsübertragung, Springer-Vieweg,
2nd ed., 2013 (also available as an e-book)

slides

blackboard

team-working
E. Biglieri, R. Calderbank, A. Constantinides, A. Goldsmith,
A. Paulraj, H.V. Poor, MIMO Wireless Comunications.
Cambridge: Cambridge University Press, 2007.
V. Kuehn, Wireless Communications over MIMO Channels.
Masters Course “Digital Communications” – Course Guide
40
Chichester: Wiley, 2006.
A. Goldsmith, Wireless Communications.
Cambridge: Cambridge University Press, 2005.
D. Tse, P. Viswanath, Fundamentals of Wireless
Communication. Cambridge: Cambridge University Press,
2005.
Masters Course “Digital Communications” – Course Guide
41
Module number
etit-627
Module title
High-speed Communication Networks
Module level
In-depth elective
Abbreviation
HSN
Subtitle (if applicable)
High-speed Systems and Networks
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Chair for Communications
Responsible staff member
Prof. Dr.-Ing. W. Rosenkranz
Lecturer
Prof. Dr.-Ing. W. Rosenkranz and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 3 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 LP) lecture (course attendance)
ca. 15 h (0.5 LP) lecture (revision)
ca. 15 h (0.5 LP) exercise (course attendance)
ca. 30 h (1.0 LP) exercise (revision)
ca. 30 h (1.0 LP) preparation for examination
Credits
4 LP
Prerequisites according to
examination order
-
Recommended prerequisites
Nachrichtenübertragung (module etit-114)
Masters Course “Digital Communications” – Course Guide
42
Learning outcome
We examine optical communication networks and highspeed digital transmission systems. We report on the latest
developments in the field and also on current projects of
the Kiel research team. Thus students will be able to enter
project work in this field or starting to work on a PhD thesis
in the field.
Content
Optical WDM-network Elements,
Transmission Schemes and Modulation Formats
Wide Area Networks,
Access Networks, passive optical networks, fibre to the
home
High-speed Ethernet
Assessment of course
achievements
Oral examination (30 min.) in the examination period after
the course
Media
The basic content is presented on a tablet PC and
projected with beamer. This basic content can be
downloaded by the students. Additional notes (about 20%
of total material) are filled in the presentation by
handwriting and beamer projection.
Literature
G. Keiser: “FTTX Concepts and Applications“, Wiley,
Hoboken, 2006
R. Ramaswami; K.N. Sivarajan: “Optical Networks, Morgan
Kaufmann Publ., Hall, San Francisco, 2002.
I.P. Kaminow, Tingye Li, A.E.Willner: “Optical Fiber
Telecommunications VA, VB“, Academic Press, San
Diego, 2008.
Masters Course “Digital Communications” – Course Guide
43
Module number
Module title
etit-632
Advanced Photonic Communication Systems
Module level
In-depth elective
Abbreviation
APCS
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Chair for Communications
Responsible staff member
Lecturer
Dr.-Ing. Ronald Freund, Fraunhofer HHI
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 3 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 LP) lecture (course attendance)
ca. 15 h (0.5 LP) lecture (revision)
ca. 15 h (0.5 LP) exercise (course attendance)
ca. 30 h (1.0 LP) exercise (revision)
ca. 30 h (1.0 LP) preparation for examination
Credits
4 LP
Prerequisites according to
examination order
-
Recommended prerequisites
Nachrichtenübertragung (module etit-114)
Digital Communications (module etit-514)
Masters Course “Digital Communications” – Course Guide
44
Learning outcome
Content
Knowledge, skills, and competences:

Knowledge for the design of optical transmission
systems regarding different applications

Knowledge of transmission impairments and mitigation
methods

Ability to numerically model and solve corresponding
practical problems

Competence to judge the properties of commercially
available photonic design automation (PDA) software
High-speed optical Core and Submarine Systems


transmission schemes and modulation formats
detection schemes, digital signal processing for
coherent detection
 optical network elements
Optical Wireless Communication Systems

basics and advances in optical satellite
communication
 free-space terrestrial optical communication
systems
 visible light communication systems
Optical Access Systems


state-of-the art FTTx systems
next generation optical access systems
(OFDM/DWDM/UDWDM-PON)
 optical front- and backhaul systems
Optical Systems for Datacentre Applications
Assessment of course
achievements
Media
 high-speed Ethernet
 multimode fibre short-reach networks
 high-speed inter-datacentre connects
Oral examination (30 min.) in the examination period after
the course




Literature
Slide presentation (main medium)
Blackboard (for mathematical derivations)
Notebooks (for clarification of basic concepts) using
o MATLAB, C++
o MOVE-IT (simulation software)
o VPItransmissionMaker (simulation software)
Lecture notes are offered for download

G. P. Agrawal. Nonlinear Fiber Optics. Academic
Press, second edition, 1995.

References are mostly taken from IEEE Xplore Digital
Masters Course “Digital Communications” – Course Guide
45
Library and will be provided during the course.
Masters Course “Digital Communications” – Course Guide
46
Module number
Inf-SecCom
Module title
Secure Communications
The description of the module Secure Communications can be found on the following
website:
http://www-ps.informatik.uni-kiel.de/~mh/studiengaenge/show.cgi?MNFInf-SecCom+
Masters Course “Digital Communications” – Course Guide
47
4.2.
Category “Communication Devices”
Module number
etit-515
Module title
Digital Electronics
Module level
Core subject
Abbreviation
Subtitle (if applicable)
Non-Volatile Data Storage
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Nano Electronics
Responsible staff member
Prof.Dr. H. Kohlstedt
Lecturer
Prof. Dr. H. Kohlstedt and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 500) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 3 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
30 hours (1.0 credits) lecture (course attendance)
30 hours (1.0 credits) lecture (revision)
15 hours (0.5 credits) exercise (course attendance)
45 hours (1.5 credits) exercise (preparation of exercises)
Credits
4 LP
Prerequisites according to
examination order
Basics in Material Science and Electronics
Masters Course “Digital Communications” – Course Guide
48
Recommended prerequisites
Material Science Lecture
Learning outcome
The student should be able to understand the physics
background of different RAM storage and mass storage
devices
One aim is the understanding to compare various RAM
technologies and explain there advantages and
disadvantages
The student should be able to explain the problem of
processor-memory latency
The student should be able to sketch the circuit of a CMOS
inverter, a Static RAM and a DRAM and explain there
principle function
The student should be able to explain various methods to
realize digital VLSI circuits as ASICs, PLDs, semi-custom
circuits (e.g. µP core, gate arrys) and custom circuits (e.g.
handcrafted and cell based)
Content
Overview on current RAM technologies including DRAMs,
Flash, Hard-Disks, DVD, Blue Ray and Holograms, market
situation

Typical applications of non-volatile RAMs and mass
storage systems

Flash memories: principle function, devices
Fabrication, I-V characteristics, current status and
limits of Flash devices, MP3 player

Magneto Random Access Memories (MRAMs),
magnetic materials, device fabrication, tunneling
magneto resistance effect, current status and limits

Ferroelectric Random Access Memories (FeRAMs),
ferroelectric materials, crystal structure, typical
materials (PZT, BTO, SBT), compability issues SiCMOS – complex oxides, data storage with
ferroelectric capacitors, cell design, read and write
operation, failure mechanism, RFID tags as an
application

Ferroelectric Field Effect transistors, principle function,
material issues, current status and prospects

Resistive RAMs, Principle functions, comparison
between charge based and resistance based
memories, materials background, physical models to
describe the resistance switching effect

Mass storage overview
Masters Course “Digital Communications” – Course Guide
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
Hard-disk, operation principle, hard disk and read head
technology, horizontal and perpendicular recording,
superparamagnetic limit, applications

DVDs and Blue Ray recorder/player

Hologram, theory, materials, technical set-up, current
applications, possible application: 3 dimensional TV

RAM circuits and systems: Static-RAM, memory
hierarchy in processor and computer units

Processor – memory latency

Embedded memories

CMOS-Nano FPGAs: Devices and Architecture

Digital and Mixed Signal Architectures
Assessment of course
achievements
Written or oral exam
Media
black board including projector, slide can be downloaded
from the web page TF-Nanoelectronics - Lectures.
Literature
Ultra-Low Voltage Nano-Scale Memories, K. Itoh, M.
Horiguchi, H. Tanaka, Springer 2007
CMOS Processors and Memories, K. Iniewski, Springer
2010
Nanometer sized CMOS IC`s: From Baiscs to ASICS, H.
Veendick, Springer 2008
Nanotechnology Vol. 3 and 4, Informationtechnology I and
II, Wiley-VCH 2008, ed. R.Waser
Nanoelectronics and Informationtechnology, Adv. Elec.
Mat. nnd Novel Dev. Wiley-VCH 2003, ed. R. Waser
Masters Course “Digital Communications” – Course Guide
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Module number
Module title
etit-608
Radio Frequency Identification and Security
Module level
In-depth elective
Abbreviation
-
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Microwave Group
Responsible staff member
Dr.-Ing. Mohamed Kheir
Lecturer
Dr.-Ing. Mohamed Kheir
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 3 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 credits) lecture (course attendance)
ca. 15 h (0.5 credits) exercise (presentations)
ca. 45 h (1.5 credits) lecture (revision)
ca. 30 h (1.0 credits) exercise (preparation of presentation)
Credits
4 LP
Prerequisites according to
examination order
None
Recommended prerequisites

RF/Microwave Engineering (module etit-116:
Hochfrequenztechnik).

Antenna theory and design.
Masters Course “Digital Communications” – Course Guide
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
Learning outcome
Content
Wireless communications systems and protocols.
By the end of the course the students should be able to:
 Realize the necessity of RFID applications in our every
day’s life.
 Understand and analyze the architectures and
components of RFID systems.
 Design microwave antennas for RFID systems.
 Be familiar with different power harvesting techniques.
 Understand different RF-based hardware security
aspects.
Radio Frequency Identification (RFID) technology has
been receiving a huge attention in today’s world. Such
technology is already merged with different security
applications in both the civil and military fields. This
elective course is targeting postgraduate students from
communications and information engineering backgrounds.
Throughout this course, several fundamental aspects of
this emerging technology are to be discussed. State-of-theart and the recent advances of RF-based security
techniques are to be covered as well.
Preliminary Course Contents:

Introduction to RFID systems.

RFID systems standards and architectures.

Propagation and back-scattering

Types of RFID tags.

Components of RFID tags.

RFID Antennas.

Structure of Rectennas.

Surface acoustic waves (SAW) RFID tags.

Modulation and encoding techniques for RFIDs.

RFID time and frequency encoding techniques.

Power harvesting techniques for RFIDs.

RFID in medical applications.

State-of-the-art and recent advances.

Principles of RF Integrated security.
Assessment of course
achievements
 Introduction to physical unclonable functions (PUFs).
During the examination period following the module, an
oral exam is held.
Media
Slides, blackboard, acoustic presentations.
Literature

Recent journals and transactions (will be made
available to students).

Curty J.-P.; Declercq, M.; Dehollain, C.; Joehl, N.;
Masters Course “Digital Communications” – Course Guide
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Design and Optimization of Passive UHF RFID
Systems, Springer, 2007.

Lehpamer H., RFID Design Principles, Artech House,
2008.

Sadeghi, A.-R.; Naccache, D.; Tylus, P.; Towards
Hardware-Intrinsic Security: Foundation and Practice,
Springer Verlag, 2010.
Masters Course “Digital Communications” – Course Guide
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Module number
Module title
etit-616
Microwave Filters: Theory, Design, and Realization
Module level
In-depth elective
Abbreviation
Microwave Filters
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Microwave Group
Responsible staff member
Prof. Dr.-Ing. M. Höft
Lecturer
Prof. Dr.-Ing. M. Höft, Dr.-Ing. Payman Rezaee
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 3 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 credits) lecture (course attendance)
ca. 15 h (0.5 credits) exercise (course attendance)
ca. 15 h (0.5 credits) exercise (self study)
ca. 30 h (1 credits) lecture (post processing)
ca. 30 h (1.0 credits) preparation for examination
Credits
4 LP
Prerequisites according to
examination order
None
Recommended prerequisites
Hochfrequenztechnik (module etit-116), Leitungtheorie
(module etit-112)
Masters Course “Digital Communications” – Course Guide
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Learning outcome
Knowledge:
 Filter synthesis techniques
 Various filter characteristics
 Realization approaches
Skills:
 Design and analysis of filters for different applications
Expertise:
 The course attendees will acquire the ability to select
appropriate filter technology with appropriate electrical
characteristics for different scenarios.
Content

Introduction to microwave filters

Basic network theory

Design of lumped lowpass prototype networks

Circuit transformation on lumped prototype networks

Coupled resonator circuits

TEM transmission line filters

Introduction to waveguide filters

Introduction to dielectric resonator filters

Introduction to different filter technologies

Computer aided design
Assessment of course
achievements
Oral exam
Media
Slides, blackboard, tablet
Literature

I. C. Hunter, Theory and Design of Microwave Filters.
London: IET, 2006.

J.-S. Hong and M. J. Lancaster, Microstrip filters for
RF/microwave applications. New York: Willey, 2001.

G. Matthaei, L .Young, and E. M. T. Jones, Microwave
Filters, Impedance Matching Networks and Coupling
Structures. Norwood, MA, Mcgrow-Hill, 1964.

Relevant articles related to the topics.
Masters Course “Digital Communications” – Course Guide
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Module number
etit-620
Module title
Underwater Techniques
Module level:
In-depth elective
Abbreviation
UWT
Subtitle (if applicable)
Sonar signal processing
Courses (if applicable)
-
Study term
Term 1 or 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering,
Information and Coding Theory Lab
Responsible staff member
Prof. Dr.-Ing. Sabah Badri-Höher
Lecturer
Prof. Dr.-Ing. Sabah Badri-Höher and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2 of
the masters courses “Electrical and Information Engineering“
and “Electrical and Information Engineering and Business
Management”.
Compulsory elective subject in term 2 of the masters course
“Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise (small groups)
Work load
ca. 30 hours (1,0 credit points) lecture (online presence)
ca. 15 hours (0,5 credit points) exercise (online presence)
ca. 15 hours (0,5 credit points) exercise (self studies)
ca. 30 hours (1,0 credit points) lecture (post processing)
ca. 30 hours (1,0 credit points) preparation for examination
Credits
Prerequisites according
examination order
4 LP
to -
Recommended prerequisites
-
Masters Course “Digital Communications” – Course Guide
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Learning outcome
The main subjects of this course are:

Underwater navigation and localization techniques

Sonar signal processing
implementation in software.
algorithms
and
their
The students obtain specialized knowledge in the field of
underwater sound transmission and detection matched to
the master level in the area of electrical and information
engineering. Upon a successful completion of this course,
students acquire skills to understand modern navigation
and localization techniques. The course covers elements of
a classical interactive on-line lecture/exercise, as well as
team-working based on the handling of scientific papers.
The students learn to solve problems both independently as
well as team-oriented.
Content
Properties of sound in water:
Absorption, scattering, multipath propagation, natural and
artificial noise sources.
Underwater acoustic postitioning systems:
Long-baseline (LBL), short-baseline (SBL), ultra-shortbaseline (USBL), GPS intelligent buoys (GIB).
Sonar principles:
Sonar equation, single-bream
systems, beamforming.
and
multi-beam
sonar
Sonar signal processing:
Localization and tracking of objects by means of 1D and 2D
sonar signals. Sonar-based navigation, simultaneous
localization and mapping (SLAM).
Assessment of course
achievements
Media
Literature
Oral examination in the examination period after the course.

Projector presentation

Lecture notes

Blackboard

Team-working

Software development
L. Brekhovskikh, Y Lysanov, Fundamentals of Ocean
Acoustics. Springer, 2003.
W. S. Burdic, Underwater acoustic system analysis.
Prentice Hall, 1991.
Masters Course “Digital Communications” – Course Guide
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X. Lurton, An Introduction to Underwater Acoustics:
Principles and Applications.
Springer Praxis Publishing, London, 2010.
D. Ribas, P. Ridao, J. Neira, Underwater SLAM for
Structured Environments Using an Imaging Sonar. Springer,
2010.
Masters Course “Digital Communications” – Course Guide
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Module number
etit-625
Module title
Photonic Components
Module level
In-depth elective
Abbreviation
-
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Integrated Systems and Photonics
Responsible staff member
Prof. Dr. Martina Gerken
Lecturer
Prof. Dr. Martina Gerken and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 3 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 hours (1.0 credits) lecture (course attendance)
ca. 45 hours (1.5 credits) lecture (preparation of lecture)
ca. 15 hours (0.5 credits) lecture (revision)
ca. 15 hours (0.5 credits) exercise (course attendance)
ca. 15 hours (0.5 credits) exercise (revision)
Credits
4 LP
Prerequisites according to
examination order
-
Recommended prerequisites
Solid state physics, semiconductor devices
Masters Course “Digital Communications” – Course Guide
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Learning outcome
Content

Ability to read scientific publications independently

Ability to perform a literature search on a specific topic

Ability to explain working principle of photonic
components

Ability to describe design choices for improving
photonic components

Ability to judge scientific publications critically

Scientific English improved
This course teaches the fundamentals and the design of
photonic components based on the study of scientific
publications. The following devices will be discussed:

Light emitting diodes (LEDs)

Organic light emitting diodes (OLEDs)

Semiconductor lasers

Optical switches

Photo detectors

Solar cells
Assessment of course
achievements
Presentation and discussion of research papers during
class; oral exam (20 min)
Media
Black board, where appropriate slides
Literature
Mandatory literature
A compilation of current research papers is handed out
during the course.
Supplementary literature

Schubert, E. F.: Light-emitting diodes, Cambridge
University Press

Würfel, P.: Physics of solar cells : from basic principles
to advanced concepts, Wiley-Vch
Masters Course “Digital Communications” – Course Guide
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Module number
Inf-DSys
Module title
Digital Systems
The description of the module Digital Systems can be found on the following website:
http://www-ps.informatik.uni-kiel.de/~mh/studiengaenge/show.cgi?MNFInf-DSys
Masters Course “Digital Communications” – Course Guide
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4.3.
Category “Applied Signal Processing“
Module number
etit-520
Module title
Neuromorphic Engineering
Module level
Core subject
Abbreviation
NeuroEng
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering,
Nanoelectronics
Responsible staff member
Prof. Dr. H. Kohlstedt
Lecturer
Prof. Dr. H. Kohlstedt and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 500) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 2 of the masters
course “Digital Communications“.
Teaching methods/SWS
2,5 SWS lecture
1,5 SWS exercise
Work load
37.5 h (1.25 credits) lecture (course attendance)
60 h (2.0 credits) lecture (revision)
22.5 h (0.75 credits) exercise (course attendance)
60 h (2.0 credits) exercise (preparation of exercises)
Credits
Prerequisites according
examination order
6
to Bachelor
Masters Course “Digital Communications” – Course Guide
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Recommended prerequisites
Electroncis (etit-105) Material Science Lecture (mawi-007),
Mathematics I-III,
Learning outcome
Understanding of:

Functioning of neurons in the nervous system,
comparison between digital Computers and bioinspired computing, basics of learning in biological
systems, analog circuits for neuro-informatics,
Hebbian learn rule, basics of: Perceptron, Adaline
and Madaline, backpropagation, Hopfield Modell,
AER, WTA, Memristors
Skills:
Content

Description of fundamental biophysical mechanism
in nerve cells, Advantages and disadvantage of
neural networks, Explanation of various analog
circuits for neural applications, description of the
Memristor principle including the material
background

Neural Networks: an overview (McCulloch-Pitts
Neuron, Perceptron, Adalein/Madaline, ART,
Boltzmann-Machine, Ising-Model / Spinglasses
Biophysical background of neurons
Data processing in invertebrates and vertebrates
Learning with and without teacher
Implicit and explicit learning
Short and long-term potentiation
Plasticity
Hebbian learning rule
Neuronal analog circuits: Axon Hillock circuit, LIFNeuron, STDP, AER (including PSpice simulations)
Memristors
Field Programmable Analog Arrays










Assessment of course
achievements
Written or oral exam
Media
Black board and projector, pdf-template with figures can be
downloaded from the web-site:
CAU Kiel - TF-Nanoelectronics - Lectures.
Literature
Analog VLSI and Neural Systems, C. Mead, AddisonWesley Pub. Comp. 1989
Masters Course “Digital Communications” – Course Guide
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Module number
etit-522
Modul title
Optimization and Optimal Control
Module level
In-depth elective
Abbreviation
OPT
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Every winter term
Responsible institute
Institute of Electrical and Information Engineering,
Chair of Automatic Control
Responsible staff member
Prof. Dr.-Ing. habil. Thomas Meurer
Lecturer
Prof. Dr.-Ing. habil. Thomas Meurer
Language
English
Assignment to curriculum
Compulsory elective subject (category 500) in term 1 or 2 of
the master courses “Electrical and Information Engineering”
and “Electrical and Information Engineering and Business
Management”.
Compulsory elective subject in term 3 of the masters course
“Digital Communications“.
Teaching methods/SWS
3 SWS lecture
1 SWS exercise
Work load
approx. 45 h (1.5 credit) lecture (course attendance)
approx. 45 h (1.5 credit) lecture (revision)
approx. 15 h (0.5 credits) exercise (course attendance)
approx. 45 h (1.5 credit) exercise (revision)
approx. 30 h (1 credit) preparation for examination
Credits
6 LP (until Winter Semester 2014/2015: 4 LP)
Prerequisites according to
None
examination order
Recommended prerequisites
Nonlinear Control Systems (module etit-501)
Masters Course “Digital Communications” – Course Guide
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Learning outcome
The course gives an introduction to static and dynamic
optimization without and with constraints as well as modelpredictive control.

Methodical skills
Concepts and methods for the analysis and the solution of
static and dynamic optimization problems without and with
constraints; Numerical solution of optimization problems.

Cognitive and practical skills
Comprehension of mathematical methods for the analysis
and solution of static and dynamic optimization problems;
practical skills for the analytic and and numerical solution of
optimization problems.
Content

Fundamentals of static and dynamic optimization
problems

Static optimization without and with constraints

Dynamic optimization without and with constraints

Model-predictive control
Assessment of course
achievements
Oral exam (45 min.) during the examination period
Media
- Beamer
- Lecture notes
- Blackboard
Literature
T. Meurer: Optimization and Optimal Control – Lecture
notes.
S. Boyd, L. Vandenberghe: Convex Optimization,
Cambridge University Press.
A.E. Bryson: Dynamic Optimization, Addison-Wesley.
L. Grüne, J. Pannek: Nonlinear Model Predictive Control:
Theory and Algorithms, Springer.
D.G. Luenberger, Y. Ye: Linear and Nonlinear
Programming, Springer.
J. Nocedal, S.J. Wright: Numerical Optimization, Springer.
M. Papageorgiou: Optimierung, Oldenbourg Verlag.
Masters Course “Digital Communications” – Course Guide
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Module number
Module title
etit-602
Micro and Millimeter Wave Photonics
Module level
In-depth elective
Abbreviation
MWP
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering,
Chair for Communications
Responsible staff member
Prof. Dr.-Ing. Werner Rosenkranz
Lecturer
Dr.-Ing. Reinhold Herschel
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 2 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
30 h (1.0 LP) lecture (course attendance)
15 h (0.5 LP) lecture (revision)
15 h (0.5 LP) exercise (course attendance)
30 h (1.0 LP) exercise (revision)
30 h (1.0 LP) preparation for examination
Credits
4 LP
Prerequisites according to
examination order
-
Recommended prerequisites
Optical Communications (module etit-513)
Learning outcome
Understanding of challenges and approaches for
microwave signal generation and transmission using fiber
Masters Course “Digital Communications” – Course Guide
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optics;
Ability to understand the opportunities of the use of optical
broadband components for RF signal processing;
Background knowledge on principles of broadband electrooptic components;
Knowledge about applications of coherent millimeter wave
and THz Photonics for measurement purposes
Content
Radio-over-Fiber Systems:
Application Scenarios, Heterodyne wireless signal
generation, Optical RF transmission formats, the fiber optic
RoF channel, link architectures
Microwave Photonic Signal Processing:
Photonic RF filters, phase shifters, RF beam steering,
arbitrary waveform generation, optical packet storage, high
Q oscillators, RF frequency measurement
Components for Microwave to THz Photonics:
Optical Multicarrier sources, broadband external
modulators, electro-absorption transceivers,
unicarrier and travelling wave photodetectors
Coherent Optics for Measurement Technologies:
Optical Coherence Tomography, LIDAR, Pulsed Laser
based Particle Acceleration
Assessment of course
achievements
Oral examination (30 minutes) in the examination period
after the course
Media
Content is presented projecting PowerPoint Slides which
are available online during the lecture
Literature
G. P Agraval. „Fiber-Optic Communication Systems“. John
Wiley&Sons Inc;
Chi H. Lee. „Microwave Photonics“,Crc Pr Inc, 2006 ;
Proceedings of International Topical Meeting on
Microwave Photonics (MWP)
Masters Course “Digital Communications” – Course Guide
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Module number
Module title
etit-603
Introduction to Radar Signal Processing and Algorithms
Module level:
In-depth elective
Abbreviation
Radar Signal Processing
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Information and Coding Theory Lab
Responsible staff member
Prof. Dr.-Ing. Peter A. Höher
Lecturer
Dr.-Ing. Jan Mietzner
Language
The language of instruction is English. This module is suitable
for students with English language skills according to the
Common European Framework (CEF) level B2.
Assignment to the
curriculum
Compulsory elective subject (category 600) in term 1 or 2 of
the masters courses “Electrical and Information Engineering“
and “Electrical and Information Engineering and Business
Management”.
Compulsory elective subject in term 3 of the masters course
“Digital Communications “.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 hours (1,0 credit points) lecture (online presence)
ca. 15 hours (0,5 credit points) exercise (online presence)
ca. 7.5 hours (0,25 credit points) exercise (self studies)
ca. 7.5 hours (0,25 credit points) tutorial material (self studies)
ca. 30 hours (1,0 credit points) lecture (post processing)
ca. 30 hours (1,0 credit points) preparation for examination
Credits
4 LP
Prerequisites according to
examination order
-
Recommended
A prior course in Digital Signal Processing or Digital
Masters Course “Digital Communications” – Course Guide
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prerequisites
Communications is recommended.
Learning outcome
Modern radar systems are employed in a great variety of
technical fields, ranging from aeronautical applications (e.g.,
for airport surveillance) to automotive applications (e.g., for
driver assistance systems). Remote sensing and space-borne
ground mapping applications are further exciting fields, where
radar plays a predominant role. Essentially, modern radar
systems consist of an analog radio-frequency (RF) frontend
(including the antenna system) and a software-oriented digital
signal processing (DSP) unit. This course is devoted to the
latter part and focuses on advanced digital signal processing
techniques for modern radar applications, either implemented
in software or in dedicated signal processors.
The students obtain specialized knowledge in the field of radar
signal processing and algorithms for a variety of applications −
in particular about state-of-the-art techniques, like syntheticaperture radar (SAR) or multiple-input multiple-output (MIMO)
radar. The knowledge conveyed is matched to a master level
in the area of electrical and information engineering. Upon a
successful completion of this course, students acquire skills to
understand modern radar systems, to analyze the expected
performance, and to design suitable radar waveforms for a
given radar task (along with corresponding receiver algorithms). The course mainly covers elements of a classical interactive on-line lecture/exercise, but will also support phases
of self-study based on special exercises and tutorial material.
Content
Assessment of course
achievements
Media
Literature

Radar system aspects and range prediction

Modulation schemes and the ambiguity function

Detection theory for target objects in clutter

Space-time adaptive processing (STAP)

Synthetic-aperture radar (SAR)

Future trends in radar (e.g. MIMO radar) Written exam in the examination period after the course.

slides

blackboard
M. Skolnik, Radar Handbook, 3rd Ed., McGraw-Hill, 2008
F. Nathanson, Radar Design Principles, 2nd Ed., McGraw-Hill,
1991 (classic textbook)
L. Blake, Radar Range-Performance Analysis, Artech House,
Masters Course “Digital Communications” – Course Guide
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1986 (classic textbook)
D. Barton, Radar System Analysis and Modeling, Artech
House, 2005
C. Jackowatz, Spotlight-Mode Synthetic Aperture Radar: A
Signal Processing Approach, Springer, 1996
R. Klemm, Principles of Space-Time Adaptive Processing, 3rd
Ed., IET Radar, Sonar and Navigation Series, 2006
Masters Course “Digital Communications” – Course Guide
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Module number
Modul title
etit-614
Applied Nonlinear Dynamics
Module level
In-depth elective
Abbreviation
AND
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or 2
Frequency of offer
Every summer term
Responsible institute
Institute of Electrical and Information Engineering,
Chair of Automatic Control
Responsible staff member
Prof. Dr.-Ing. habil. Thomas Meurer
Lecturer
Dr. Alexander Schaum
Language
English
Assignment to curriculum
In-depth elective subject (category 600) in term 1 or 2 of the
master courses “Electrical and Information Engineering”
and “Electrical and Information Engineering and Business
Management”.
Compulsory elective subject in term 2 of the masters course
“Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
approx. 30 h (1 credit) lecture (course attendance)
approx. 45 h (1.5 credit) lecture (revision)
approx. 15 h (0,5 credits) exercise (course attendance)
approx. 30 h (1 credit) exercise (revision)
Credits
4 LP
Prerequisites according to
None
examination order
Recommended prerequisites
Nonlinear Control Systems (module etit-501)
Learning outcome
The course gives an introduction to the qualitative analysis
of nonlinear differential and difference equations, in
particular on bifurcations in one, two, and higher-
Masters Course “Digital Communications” – Course Guide
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dimensional systems.

Methodical skills
Concepts and methods for the analysis of nonlinear
dynamics; Numerical solution of differential and difference
equations, and the associated bifurcation analysis.

Cognitive and practical skills
Comprehension of basic nonlinear phenomena like steadystate multiplicity, multistability and bifurcation; practical skills
for the analytic and numerical solution of bifurcation
problems.
Content

Linear and nonlinear dynamical systems

Qualitative behavior of vector fields

Local and non-local bifurcations

Introduction to discrete-time nonlinear systems
Assessment of course
achievements
Oral exam (45 min.) during the examination period
Media
- Beamer
- Lecture notes
- Blackboard
Literature
A. Schaum: Applied Nonlinear Dynamics - Lecture notes.
S. Strogatz: Nonlinear Dynamics and Chaos: with
applications to physics, biology, chemistry, and engineering,
Pereus Books.
L. Perko: Differential Equations and Dynamical Systems,
Springer.
J. Hale, H. Kocak: Dynamics and Bifurcations, Springer.
S. Lynch: Dynamical Systems with Applications using
Mathematica, Birkhäuser.
R. Abraham: C. Shaw: Dynamics: The Geometry of
Behavior, Addison-Wesley.
S. Wiggins: Introduction to Applied Nonlinear Systems and
Chaos, Springer.
S. Sastry: Nonlinear Systems: Analysis, Stability, and
Control, Springer.
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Module number
etit-617
Module title
Adaptive Filters
Module level
In-depth elective
Abbreviation
AF
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering,
Digital Signal Processing and System Theory
Responsible staff member
Prof. Dr.-Ing. G. Schmidt
Lecturer
Prof. Dr.-Ing. G. Schmidt and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 2 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 credits) lecture (course attendance)
ca. 30 h (1.0 credits) lecture (revision)
ca. 15 h (0.5 credits) exercise (course attendance)
ca. 45 h (1.5 credits) exercise (preparation of exercises)
Credits
4 LP
Prerequisites according to
examination order
None
Recommended prerequisites
Signals and Systems I (module etit-104)
Signals and Systems II (module etit-108)
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Learning outcome
During the lecture and the exercises basic knowledge
about adaptive structures, the role of feedback, and
general aspects about signal processing structures should
be acquired. Students should know how to incorporate a
priori knowledge about the signals and processes involved
in a practical scenario in adaptive structures in order to
improve the robustness and the speed of convergence.
Also numerical aspects - such as computational
complexity and memory requirements - of different
adaptive structured should be understood by listeners of
the lecture.
Content
Students attending this lecture should learn the basics of
adaptive filters. To achieve this, necessary algorithms will
be derived and applied to problems arising in speech and
audio processing. The algorithms comprise Wiener
filtering, linear prediction, and adaptive schemes such as
the NLMS algorithm, affine projection, and the RLS
algorithm. For applications from speech and audio
processing we use noise and reverberation reduction, echo
cancellation, and beamforming.
Topic overview:

Introduction and application examples (part 1 of 2)

Signal properties and cost functions

Wiener filter and principle of orthogonality

Linear prediction

RLS algorithm

LMS algorithm and its normalized version

Affine projection algorithm

Control of adaptive filters

Efficient processing structures

Applications of linear prediction

Outlook and application examples (part 2 of 2)
Assessment of course
achievements
During the examination period following the module, an
oral exam (duration: 30 min.) is held.
Media
Blackboard, Beamer presentation, Matlab demos
Literature

E. Hänsler, G. Schmidt: Acoustic Echo and Noise
Control, Wiley, 2004
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
S. Haykin: Adaptive Filter Theory, Prentice Hall, 2002

A. Sayed: Fundamentals of Adaptive Filtering, Wiley,
2004
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Module number
Module title
etit-618
Pattern Recognition
Module level
In-depth elective
Abbreviation
PATREC
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or term 2
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Digital Signal Processing and System Theory
Responsible staff member
Prof. Dr.-Ing. G. Schmidt
Lecturer
Prof. Dr.-Ing. G. Schmidt and staff
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 3 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 credits) lecture (course attendance)
ca. 30 h (1.0 credits) lecture (revision)
ca. 15 h (0.5 credits) exercise (course attendance)
ca. 45 h (1.5 credits) exercise (preparation of exercises)
Credits
4 LP
Prerequisites according to
examination order
None
Recommended prerequisites
Signals and Systems I (module etit-104)
Signals and Systems II (module etit-108)
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Learning outcome
Content
During the lecture and the exercises basic procedures of
pattern recognition with emphasis on audio, medical, and
underwater applicaitons should be acquainted.
In particular, these are methods for noise reduction and
methods for model building, which are used for pattern
recognition. Students should know how to generally apply
these principles to other problems (also outside the area of
audio, medical, and underwater signal processing).
Furthermore, the students should deepen or extend their
knowledge in the fields of the signal processing structures
and statistical signal theory, which is necessary for the
application of the above-mentioned methods.
In this lecture the basics of pattern recognition are treated.
Often schemes that are based on statistical optimization
are utilized for these applications. The involved cost
functions are matched to the specific applications.
Topic overview:
Preprocessing to reduce signal distortions


Noise reduction
Beamforming
Basics of pattern recognition




Fundamentals of selected applications
Feature extraction
Gaussian mixture models (GMMs)
Hidden Markov models (HMMs)
Selected applications:


Recognition of speech and speakers
Extending the bandwidth of speech signals
Assessment of course
achievements
Written examination (90 min.) in the examination period
after the course.
Media
Blackboard, beamer presentation
Literature
Statistical signal theory:

Papoulis: Probability, Random Variables, and
Stochastic Processes, McGraw-Hill, 1965
Noise reduction, beamforming, adaptive filters:

E. Hänsler, G. Schmidt: Acoustic Echo and Noise
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

Control, Wiley, 2004
S. Haykin: Adaptive Filter Theory, Prentice Hall,
2002
A. Sayed: Fundamentals of Adaptive Filtering,
Wiley, 2004
Speech signal processing:



L. R. Rabiner, R. W. Schafer: Digital Processing of
Speech Signals, Prentice Hall, 1978
P. Vary, R. Martin: Digital Speech Transmission,
Wiley, 2006
L. R. Rabiner, R. W. Schafer: Introduction to Digital
Speech Processing, Now, 2008
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Module number
etit-623
Module title
Time Series Analysis
Module level
In-depth elective
Abbreviation
-
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering,
Information and Coding Theory Lab
Responsible staff member
Dr. Andreas Galka
Lecturer
Dr. Andreas Galka
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering” and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 2 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
30 h (1.0 credits) lecture (course attendance)
45 h (1.5 credits) lecture (preparation of lecture)
15 h (0.5 credits) lecture (revision)
15 h (0.5 credits) exercise (course attendance)
15 h (0.5 credits) exercise (revision)
Credits
Prerequisites according
examination order
4 LP
to -
Recommended prerequisites
Calculus, linear algebra, scientific programming
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Learning outcome
Content
Assessment
achievements

Ability to perform analyses of time series analysis

Ability to implement algorithms for time series analysis

Ability to read scientific publications independently

Ability to perform a literature search on a specific

Ability to judge scientific publications critically

Scientific English improved
"Time series analysis" represents a field of statistical
approaches to analysing time-resolved data sets. In this
lecture a first introduction into this field will be provided,
including examples of applications. A certain focus will be
put on data sets with biomedical or neuroscience
background. Table of contents:
of

Temporal correlations in data

Frequency domain analysis

Modeling and inverse problems

sets of linear equations, pseudoinverses

principal component
component analysis

blind signal separation

maximum-likelihood estimation

entropy and mutual information

prediction of time series

whitening of residuals

dynamical systems

stochastic differential equations

deterministic chaos

autoregressive modelling

state space modelling

reconstruction of strange attractors

fractal dimensions / Lyapunov exponents
analysis
/
independent
course Data analysis project; presentation of project results and of
related published papers; oral exam (20 min)
Media
Mostly pdf slides; black board
Literature

G.E.P.Box & G.M.Jenkins (1970), Time series analysis:
forecasting and control

D.R.Brillinger (1981), Time series: data analysis and
theory

M.B.Priestley (1988), Non-linear and non-stationary
time series analysis

L.Ljung (1987), System identification: theory for the
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user

J.D.Hamilton} (1994), Time series analysis

H.Kantz} & T.Schreiber (1997), Nonlinear time series
analysis

H.Akaike (1999), The practice of time series analysis

J.Durbin} & S.J.Koopman (2001), Time series analysis
by state space methods

B.Schelter (2006), Handbook of time series analysis:
recent theoretical developments and applications

R.H.Shumway & D.S.Stoffer (2000), Time series
analysis and its applications
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Module number
etit-630
Module title
Neural Networks
Module level
In-depth elective
Abbreviation
NN
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1 or 2
Frequency of offer
Each summer term
Responsible institute
Institute of Electrical and Information Engineering,
Digital Signal Processing and System Theory
Responsible staff member
Dr.-Ing. Mohamed Krini
Lecturer
Dr.-Ing. Mohamed Krini
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 2 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 credits) lecture (course attendance)
ca. 30 h (1.0 credits) lecture (revision)
ca. 15 h (0.5 credits) exercise (course attendance)
ca. 45 h (1.5 credits) exercise (preparation of exercises)
Credits
Prerequisites according
examination order
4 LP
to None
Recommended prerequisites
Signals and Systems I and II (module etit-104 / etit-108)
or Advanced Signals and Systems (module etit-506)
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Learning outcome
Students will learn how to model linear and non-linear,
dynamic (but also memory-less) systems. If they face
corresponding problems when working as electrical
engineers they should be able to select among several
network types the most appropriate one. Also the training
of such networks (adjusting the parameters of the network)
should be learnt in this lecture. Since the lecture puts focus
on the principle ideas behind the individual algorithms
students should be able to port these ideas and design
also new algorithms and network types.
Content
The course will introduce a variety of contemporary
approaches to neural networks and explain the theory
underlying of these approaches. A deeper insight into
different architectures and functionalities of artificial neural
networks will be provided. The approaches that will be
covered include single- and multi-layer networks, selforganizing networks, and different learning algorithms. The
exercises consist of student presentations. Students have
to give presentations at the end of the lecture about (topics
in) applications of neural network systems and its
extensions. Details will be given in the lecture. The course
is suitable for students in electrical engineering and
computer engineering with basic background in digital
signal processing and mathematics.
Topic overview:

Introduction, types of neural networks and definitions

Preprocessing and feature extraction

Threshold logic units

Single-layer networks (perceptron)

Multi-layer networks (multi-layer perceptrons)

Training of multi-layer networks:
o Gradient descent and error back propagation
algorithm
o Fast learning algorithms
Assessment
achievements
of

Radial basis function networks

Learning vector quantization

Hopfield networks

Kohonen self-organizing networks
course During the examination period following the module, an
oral exam (duration: 30 min.) is held.
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Media
Slides, blackboard, acoustic presentations
Literature

R. Rojas: Neural Networks - A Systematic Introduction,
Springer, Berlin, Germany, 1996

C. Borgelt, F. Klawonn, R. Kruse, D. Nauck: NeuroFuzzy-Systeme, Vieweg Verlag, Wiesbaden, 2003 (in
German)

C. Bishop: Neural Networks for Pattern Recognition,
Oxford University Press, UK, 1996

S. Haykin: Neural Networks - A Comprehensive
Foundation, Prentice Hall, NJ, USA, 1994
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Module number
etit-631
Module title
Signal Processing for Medical Applications –
Frequency Domain Analysis
Module level
In-depth elective
Abbreviation
-
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 1, 2 or 3
Frequency of offer
Each winter term
Responsible institute
Institute of Electrical and Information Engineering,
Digital Signal Processing and System Theory
Responsible staff member
Dr.-Ing. Muthuraman Muthuraman
Lecturer
Dr.-Ing. Muthuraman Muthuraman
Language
The language of instruction is English. This module is
suitable for students with English language skills according
to the Common European Framework (CEF) level B2.
Assignment to the curriculum
Compulsory elective subject (category 600) in term 1 or 2
of the masters courses “Electrical and Information
Engineering“ and “Electrical and Information Engineering
and Business Management”.
Compulsory elective subject in term 3 of the masters
course “Digital Communications“.
Teaching methods/SWS
2 SWS lecture
1 SWS exercise
Work load
ca. 30 h (1.0 credits) lecture (course attendance)
ca. 15 h (0.5 credits) exercise (presentations)
ca. 45 h (1.5 credits) lecture (revision)
ca. 30 h (1.0 credits) exercise (preparation of presentation)
Credits
4 LP
Prerequisites according to
examination order
None
Recommended prerequisites
Signals and Systems I and II (module etit-104 / etit-108)
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or Advanced Signals and Systems (module etit-506)
and Advanced Digital Signal Processing (module etit-509)
Learning outcome
The students participating in this lecture will gain in depth
knowledge of the medical data acquired from brain and
muscles. The main analysis tools used in the medical
research field concentrating mainly on the frequency
domain analyses. The students will get hands on
experience with the real non-linear medical data and in the
process also learn to model such signals. Finally, they will
learn some of the most advanced source analysis
techniques used nowadays in medical data to identify the
source which is responsible for the data collected on the
scalp.
Content
Introduction to medical data

Brain signals – EEG /MEG

Muscle signals – EMG

Magnetic resonance imaging – MRI

Tremor disorders
Quantities measured from time series in frequency domain

Power spectrum

Modeling time series using auto-regressive (AR)
processes

Coherence spectrum

Phase spectrum

Delay
Source analysis

Forward problem

Inverse problem

Different solutions
Assessment of course
achievements
During the examination period following the module, an
oral exam (duration: 30 min.) is held.
Media
Slides, blackboard, acoustic presentations
Literature
EEG:

Niedermeyer E, lopes da silva F.
Electroencephalography- Basic principles, clinical
applications, and related fields. Lippincott Williams &
Wilkins.

Sanei S, Chambers J. Introduction to EEG: EEG Signal
Processing. John Wiley and Sons Ltd., 2007.
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EMG:

Journee HL, van Manen J. Improvement of the
detectability of simulated pathological tremour e.m.g.s
by means of demodulation and spectral analysis. Med.
& Biol. Eng. & Comput., 1983, 21,587-590
MRI:

M.F. Reiser · W. Semmler · H. Hricak (Eds.). Magnetic
resonance tomography. Springer, 2008.
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Module number
Inf-MMCom
Module title
Multimedia Communications
The description of the module Multimedia Communications can be found on the following
website:
http://www-ps.informatik.uni-kiel.de/~mh/studiengaenge/show.cgi?MNFInf-MMCom+
Module number
Inf-EmSysDes
Module title
Embedded System Design
The description of the module Embedded System Design can be found on the following
website:
http://www-ps.informatik.uni-kiel.de/~mh/studiengaenge/show.cgi?MNFInf-EmSysDes
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5. Non-technical Elective Modules
Module Name
Economics I
Identification code
Subtitle
-
Courses embedded
-
Term
Summer
Coordinator
Prof. Dr. Federico Foders
Teacher
Prof. Dr. Federico Foders
Tuition language
Englisch
Programme involvement
MSc Materials Science
MSc Digital Communications
Teaching form,
contact time per week
class size
Lecture
Economics I (90 min; 15 weeks)
25
Workload overall
Contact time
90 h
30 h (incl. tests)
ECTS credit points
4
Preconditions prescribed
-
Prerequisites recommended
A thorough understanding of single-variable calculus and
introductory knowledge of multivariable calculus; basic knowledge of
probability
Learning outcomes
Participants are able to analyse a wide range of economic issues
applying economic theory. They are aware of the complexities
necessarily involved, of the methods available to study economic
issues and of the particular way of thinking of economists
Content
The course offers a mix of selected introductory, intermediate and
advanced topics in micro and macroeconomics with a focus on
intermediate macroeconomics and international economics. It
includes themes such as economic growth, unemployment, inflation
and the public finances as well as increasing returns and market
structure, firms in international trade and globalization and the role of
innovation and education in sustainable economic growth. Case
studies serve to illustrate the applicability of economic theory to the
real world.
Assessment
Written exam (100%)
Teaching Media
Lecture notes, case studies, text books, journal articles
References
Lecture notes, case studies and a reading list are handed out. Basic
literature: Delong, J. Bradford (2002), Macroeconomics, rev. ed.,
New York: McGraw-Hill; Krugman, Paul R, Maurice Obstfeld, Marc J.
Melitz (2012), International Economics, 9th ed., Upper Saddle River:
Pearson; Romer, David (2001), Advanced Macroeconomics, 2nd ed.,
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New York: McGraw Hill; Pindyck, Robert S., Daniel L. Rubinfeld,
Microeconomics, 7th ed., Upper Saddle River: Pearson.
Contact
Federico Foders, Kiel Institute for the World Economy
phone: +49 431 8814 285
email: federico.foders@ifw-kiel.de
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Module Name
Economics II
Identification code
Subtitle
-
Courses embedded
-
Term
Winter
Coordinator
Prof. Dr. Federico Foders
Teacher
Prof. Dr. Federico Foders
Tuition language
Englisch
Programme involvement
MSc Materials Science
MSc Digital Communications
Teaching form,
contact time per week
class size
Lecture
Economics I (90 min; 15 weeks)
25
Workload overall
Contact time
90 h
30 h (incl. tests)
ECTS credit points
4
Preconditions prescribed
-
Prerequisites recommended
A thorough understanding of single-variable calculus and
introductory knowledge of multivariable calculus; basic knowledge of
probability
Learning outcomes
Participants are able to analyse a wide range of issues in economics
and management applying microeconomic theory. They are aware of
the complexities involved and of the methods available to study the
behavior of firms and the implications of changes in the environment
of business.
Content
The course offers a mix of selected introductory, intermediate and
advanced topics in microeconomics and management. It includes
themes such as the analysis of demand, cost, market efficiency, the
design of pricing strategies, investment and production, public policy
(regulation), competitive strategy, game theory, the role of
uncertainty and asymmetric information in decision making. Case
studies serve to illustrate the applicability of microeconomic theory to
the real world.
Assessment
Written exam (100%)
Teaching Media
Lecture notes, case studies, textbooks, journal articles
References
Lecture notes, case studies and a reading list are handed out. Basic
literature: Pindyck, Robert S., Daniel L. Rubinfeld, Microeconomics,
7th ed., Upper Saddle River: Pearson; Jehle, Geoffrey A., Philip J.
Reny (2011), Advanced Microeconomic Theory, 3rd. ed., Upper
Saddle River: Pearson; Sloman, John, Elizabeth Jones (2011),
Economics and the Business Environment, 3rd. ed., Upper Saddle
River: Pearson. .
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Contact
Federico Foders, Kiel Institute for the World Economy
phone: +49 431 8814 285
email: federico.foders@ifw-kiel.de
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6. Master Thesis
Please, keep in mind that according to the Prüfungsverfahrensordnung of the ChristianAlbrechts-Universität zu Kiel the Master Thesis it not a module.
Number
-
Title
Master Thesis
Level
Master Thesis
Abbreviation
Thesis
Subtitle (if applicable)
-
Courses (if applicable)
-
Study term
Term 4
Frequency of offer
Each summer and winter term
Responsible institute
Institute of Electrical and Information Engineering
Responsible staff member
Professors of the Institute of Electrical and Information
Engineering
Lecturer
Professors of the Institute of Electrical and Information
Engineering
Language
English
Assignment to the curriculum
Compulsory element in term 4 of the masters courses
“Digital Communications”
Teaching methods/SWS
Self study, discussions with the supervisor, and seminar
Work load
300 h (10.0 credits) self study
420 h (14.0 credits) practical realization, e.g.,
measurements, programming, simulations
180 h (6.0 credits) preparation of thesis and presentation
Credits
30 LP
Prerequisites according to
examination order
Bachelor degree with 180 credits and successful
completion of all course achievements (exams, certificates)
Recommended prerequisites
-
Learning outcome
The students are able to work independently and goaloriented on a challenging scientific topic. They shall have
the competence to do a literature research, to evaluate this
literature, to extract central points and draw consequences
for their own work. The students are able to apply the
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knowledge and techniques acquainted during the masters’
course to solve a given problem within a predefined period
of time. They are able to present the results of a study in
an oral and a written report.
Content
Current problems with practical relevance in the area of
digital communications and information technology are
studied, analyzed, and solved using scientific methods.
Assessment of course
achievements
Exposition of results and presentation of results in a 30
minutes’ public talk.
Media
-
Literature
Subject-specific literature is handed out at the beginning of
a master thesis.
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