Course Guide Masters Course Digital Communications

Transcription

1 Course Guide Masters Course Digital Communications Christian-Albrechts-Universität zu Kiel Faculty of Engineering Institute of Electrical and Information Engineering Date: 20 August 2015

2 Contact: Institute of Electrical and Information Engineering Faculty of Engineering Christian-Albrechts-Universität zu Kiel Kaiserstraße 2 D Kiel, Germany digcom@tf.uni-kiel.de Masters Course Digital Communications Course Guide 2

3 Table of Contents 1. General Aim Schedule Compulsory Modules... 7 Advanced Signals and Systems... 7 Advanced Digital Signal Processing Information Theory and Coding I Information Theory and Coding II Wireless Communications (DSP) Optical Communications Digital Communications Wireless Communications (RF) Communications Lab Real-time Signal Processing Lab Advanced Topics Lab and Seminar German Language Course Technical Elective Modules Category Applied Communications and Networks Numerical Simulation of Analog and Digital Communication Systems Advanced Wireless Communications (DSP) High-speed Communication Networks Secure Communications Category Communication Devices Digital Electronics Radio Frequency Identification and Security Microwave Filters: Theory, Design, and Realization Underwater Techniques Photonic Components Digital Systems Category Applied Signal Processing Neuromorphic Engineering Optimization and Optimal Control Micro and Millimeter Wave Photonics Introduction to Radar Signal Processing and Algorithms Applied Nonlinear Dynamics Adaptive Filters Speech and Audio Signal Processing: Audio Effects and Recognition Time Series Analysis Neural Networks Signal Processing for Medical Applications Frequency Domain Analysis Masters Course Digital Communications Course Guide 3

4 Multimedia Communications Embedded System Design Non-technical Elective Modules Economics I Economics II Master Thesis Master Thesis Masters Course Digital Communications Course Guide 4

5 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

6 2. Schedule Semester Module Lecture SWS 1) Exercise SWS Lab SWS SWS 1) CP 1 Digital Communications Advanced Signals and Systems Advanced Digital Signal Processing Information Theory and Coding I Communications Lab Non-technical Elective I 2) Summe Information Theory and Coding II Optical Communications Wireless Communications (DSP) Wireless Communications (RF) Technical Electives ca. 6 8 Real-time Signal Processing Lab Summe Technical Electives ca Non-technical Elective II Advanced Topics Lab Summe Master Thesis 30 Summe 30 Sum ) 2) 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

7 3. Compulsory Modules Module number Module title Module level Abbreviation etit-506 Advanced Signals and Systems Core subject ASS Subtitle (if applicable) - Courses (if applicable) - Study term Term 1 Frequency of offer Responsible institute Responsible staff member Lecturer Language Assignment to the curriculum Teaching methods/sws Work load Each winter term Institute of Electrical and Information Engineering, Digital Signal Processing and System Theory Prof. Dr.-Ing. G. Schmidt Prof. Dr.-Ing. G. Schmidt and staff 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. Compulsory subject in term 1 of the masters course Digital Communications. 3 SWS lecture 2 SWS exercise 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 Learning outcome - Basic knowledge of signals and systems obtained during bachelors course 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

8 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 Assessment of course achievements Media Literature 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 for signals, systems, and spectral transformations During the lecture period, a voluntary test is offered. During the examination period following the course, a written exam (duration: 120 min.) is held. Beamer (Slides) Blackboard Problems distributed prior to exercises Oppenheim, A.V., Willsky, A.S., Nawab, H.: Signals and Systems. Prentice Hall, Englewood Cliffs, USA, Papoulis, A., Pillai, S.U.: Probability, Random Variables, and Stochastic Processes. McGraw-Hill Inc., New York, USA, Mitra, S.K.: Digital Signal Processing a Computer-based Approach. McGraw-Hill, New York, USA, Masters Course Digital Communications Course Guide 8

9 An updated bibliography is handed out during the lecture. Masters Course Digital Communications Course Guide 9

10 Module number Module title Module level Abbreviation etit-509 Advanced Digital Signal Processing Core subject ADSP Subtitle (if applicable) - Courses (if applicable) - Study term Term 1 or term 2 Frequency of offer Responsible institute Responsible staff member Lecturer Language Each winter term Institute of Electrical and Information Engineering, Digital Signal Processing and System Theory Prof. Dr.-Ing. G. Schmidt Prof. Dr.-Ing. G. Schmidt and staff 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 Work load Credits Prerequisites according to examination order Recommended prerequisites 2 SWS lecture 1 SWS exercise 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) 4 LP None Signals and Systems I (module etit-104) Signals and Systems II (module etit-108) Masters Course Digital Communications Course Guide 10

11 Learning outcome Content Assessment of course achievements Media 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. 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 Written examination (90 min.) in the examination period after the course. Blackboard, beamer presentation Literature J.G. Proakis, D.G. Manolakis: Digital Signal Processing: Principles, Algorithms, and Applications, Masters Course Digital Communications Course Guide 11

12 Prentice Hall, 1996, 3rd edition S.K. Mitra: Digital Signal Processing: A Computer- Based 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

13 Module number Module title Module level Abbreviation Subtitle (if applicable) etit-510 Information Theory and Coding I Core subject IT1 Advanced Information Theory Courses (if applicable) - Study term Term 1 or term 2 Frequency of offer Responsible institute Responsible staff member Lecturer Language Assignment to the curriculum Teaching methods/sws Work load Credits Prerequisites according to examination order Each winter term Institute of Electrical and Information Engineering, Information and Coding Theory Lab Prof. Dr.-Ing. Peter A. Höher Prof. Dr.-Ing. Peter A. Höher and staff 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. 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. 2 SWS lecture 1 SWS exercise 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 4 LP - Recommended prerequisites Theoretische Grundlagen der Informationstechnik Masters Course Digital Communications Course Guide 13

14 (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 Assessment of course achievements Media Literature 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 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 Cover, T.M. und Thomas, J.A., Elements of Information Theory, John Wiley & Sons, 2nd ed., Lubbe, J.C.A.: Information Theory, Cambridge University Press, Yeung, R.W.: A First Course in Information Theory, Masters Course Digital Communications Course Guide 14

15 Springer, Yeung, R.W.: Information Theory and Network Coding, Springer, Masters Course Digital Communications Course Guide 15

16 Module number Module title Module level Abbreviation Subtitle (if applicable) etit-511 Information Theory and Coding II Core subject IT2 Advanced Channel Coding Courses (if applicable) - Study term Term 1 or term 2 Frequency of offer Responsible institute Responsible staff member Lecturer Language Assignment to the curriculum Teaching methods/sws Work load Credits Each summer term Institute of Electrical and Information Engineering, Information and Coding Theory Lab Prof. Dr.-Ing. Peter A. Höher Prof. Dr.-Ing. Peter A. Höher and staff 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. 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. 2 SWS lecture 1 SWS exercise 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 4 LP Prerequisites according to examination order Recommended prerequisites Theoretische Grundlagen der Informationstechnik Masters Course Digital Communications Course Guide 16

17 (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 Assessment of course achievements 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 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 Lin, S., Costello, D.J.: Error Control Coding, Prentice-Hall, 2nd ed., Richardson, T., Urbanke, R.: Modern Coding Theory, Cambridge University Press, Ryan, W.E., Lin, S.: Channel Codes: Classical and Modern, Masters Course Digital Communications Course Guide 17

18 Cambridge University Press, Masters Course Digital Communications Course Guide 18

19 Module number Module title Module level Abbreviation Subtitle (if applicable) etit-512 Wireless Communications (DSP) Core subject WC1 Baseband Processing I Courses (if applicable) - Study term Term 1 or term 2 Frequency of offer Responsible institute Responsible staff member Lecturer Language Assignment to the curriculum Teaching methods/sws Work load Credits Prerequisites according to examination order Each summer term Institute of Electrical and Information Engineering, Information and Coding Theory Lab Prof. Dr.-Ing. Peter A. Höher Prof. Dr.-Ing. Peter A. Höher and staff 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. 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. 2 SWS lecture 1 SWS exercise 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 credit points) exercise (preparation of exercises) 4 LP - Recommended prerequisites - Masters Course Digital Communications Course Guide 19

20 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. Content Assessment of course achievements 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. 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) Written examination (90 min.) in the examination period after the course. Media textbook: Peter Adam Höher, Grundlagen der digitalen Informationsübertragung, Springer-Vieweg, 2 nd ed., 2013 (also available as an e-book) slides blackboard Literature A.F. Molisch, Wireless Communications. IEEE Press -- Wiley, T.S. Rappaport, Wireless Communications -- Principles & Practice. Upper Saddle River, NJ: Prentice Hall, J.G. Proakis, Digital Communications. New York, NY: McGraw-Hill, 4th ed., Masters Course Digital Communications Course Guide 20

21 R. Steele, L. Hanzo, Mobile Radio Communications. New York, NY: John Wiley & Sons, 2nd ed., G.L. Stueber, Principles of Mobile Communication. Boston, MA: Kluwer Academic Publishers, Masters Course Digital Communications Course Guide 21

22 Module number Module title Module level Abbreviation etit-513 Optical Communications Core subject Opt. Comm. Subtitle (if applicable) - Courses (if applicable) - Study term Term 1 or term 2 Frequency of offer Responsible institute Responsible staff member Lecturer Language Each summer term Institute of Electrical and Information Engineering, Chair for Communications Prof. Dr.-Ing. Werner Rosenkranz Prof. Dr.-Ing. Werner Rosenkranz and staff 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 Work load Credits Prerequisites according to examination order Recommended prerequisites 2 SWS lecture 1 SWS exercise 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 4 LP - Nachrichtenübertragung (module etit-114) Masters Course Digital Communications Course Guide 22

23 Learning outcome Content Assessment of course achievements Media Literature 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. 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 Written examination (90 min.) in the examination period after the course 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. G.P. Agrawal.: Fiber-Optic Communication Systems, Wiley, New York, 2002 G. Keiser: Optical Fiber Communications, 3 rd 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

24 Telecommunications VA, VB, Academic Diego, E. Voges, K. Petermann: Optische Kommunikationstechnik, Springer, Berlin, Press, San Masters Course Digital Communications Course Guide 24

25 Module number Module title Module level Abbreviation etit-514 Digital Communications Core subject Dig. Comm. Subtitle (if applicable) - Courses (if applicable) - Study term Term 1 Frequency of offer Responsible institute Responsible staff member Lecturer Language Assignment to the curriculum Teaching methods/sws Work load Credits Prerequisites according to examination order Recommended prerequisites Learning outcome Content Each winter term Institute of Electrical and Information Engineering, Chair for Communications Prof. Dr.-Ing. Werner Rosenkranz Prof. Dr.-Ing. Werner Rosenkranz and staff 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. Compulsory subject in term 1 of the masters course Digital Communications 3 SWS lecture 2 SWS exercise 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) 7 LP - Basic knowledge in systems theory and analog transmission 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. Elements of communication systems Masters Course Digital Communications Course Guide 25

26 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) Literature Kammeyer, K.D.: Nachrichtenübertragung. B.G. Teubner, Stuttgart, Glover, I.A., Grant, P.M.: Digital Communications. Prentice Hall, Harlow, Ziemer, R.E., Peterson, R.L.: Digital Communication. Prentice Hall, Upper Saddle River, Lee, E.A., Messerschmitt, D.G.: Digital Communications. 3rd edition, Kluwer Academic Publishers, Proakis, J.G.: Digital Communications. 4th edition, Mc- Graw-Hill, Masters Course Digital Communications Course Guide 26

27 Module number Module title Module level Abbreviation etit-516 Wireless Communications (RF) Core subject WCRF Subtitle (if applicable) - Courses (if applicable) - Study term Term 1 or term 2 Frequency of offer Responsible institute Responsible staff member Lecturer Language Each summer term Institute of Electrical and Information Engineering, Wireless Communications Prof. Dr.-Ing. Dirk Manteuffel Prof. Dr.-Ing. Dirk Manteuffel and staff 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 Work load Credits Prerequisites according to examination order Recommended prerequisites 2 SWS lecture 1 SWS exercise 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) 4 LP BSc ETIT, BSc Wi-Ing ETIT or equivalent Grundlagen der Elektrotechnik I III (modules etit-101, etit-102 and etit-103) Masters Course Digital Communications Course Guide 27

28 Elektromagnetische Felder I II (modules etit-106 and etit-110) Mathematik für Ingenieure I III (modules MIng-1, MIng- 2 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: - Development of Deterministic and statistic Channel models - Understanding of the RF Chain of Wireless Communication systems - Increasing channel capacity by MIMO - Wideband Techniques Content - Radio Propagation - Antennas - Transmitter and Receiver architecture - Link Budget - Multi Antenna Systems - Wideband Systems Assessment of course achievements Media During the examination period following the module, a written exam (duration: 90 min) is held. Black board, laptop presentations, printed Manuscript Literature J. S. Seybold: Introduction to RF Propagation. ISBN , John Wiley & Sons, Inc., Antennas & Propagation for Wireless Propagation Systems. ISBN , John Wiley & Sons, Inc., Masters Course Digital Communications Course Guide 28

29 Module number Module title Module level Abbreviation etit-705 Communications Lab Practical subject Comm. Lab Subtitle (if applicable) - Courses (if applicable) - Study term Term 1 or 2 Frequency of offer Responsible institute Responsible staff member Each winter term Institute of Electrical and Information Engineering 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 Work load Credits Prerequisites according to examination order Recommended prerequisites Learning outcome 4 SWS laboratory ca. 45 h (1.5 credits) laboratory (course attendance) ca. 75 h (2.5 credits) laboratory (preparation of lab projects) 4 LP - Knowledge of basics obtained during bachelors course 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 29