Module Catalogue for Electrical Engineering and ... · Microwave Engineering I [etit-118].....31...

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Faculty of Engineering Module Catalogue for Electrical Engineering and Information Technology Bachelor, 1-Subject Version 2017

Transcript of Module Catalogue for Electrical Engineering and ... · Microwave Engineering I [etit-118].....31...

Page 1: Module Catalogue for Electrical Engineering and ... · Microwave Engineering I [etit-118].....31 Microwave Engineering II [etit-119] ... Electric field of stationary currents: Fields

Faculty of Engineering

Module Catalogue

for Electrical Engineering and Information TechnologyBachelor, 1-Subject

Version 2017

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Table of Contents

Prologue .............................................................................................................................4Electrical Engineering and Information Technology .......................................................... 5

Technical Compulsory Modules [etit] ................................................................................ 6Electrical Energy Technology [etit-107] .........................................................................7Electromagnetic Fields I [etit-106] ...............................................................................10Electromagnetic Fields II [etit-110] ..............................................................................13Electronics [etit-105] .................................................................................................... 16Fundamentals of Electrical Engineering I [etit-101] .....................................................19Fundamentals of Electrical Engineering II [etit-102] ....................................................22Fundamentals of Electrical Engineering III [etit-103] ...................................................25Basics of Materials Science [mawi-E007] .....................................................................28Microwave Engineering I [etit-118] ..............................................................................31Microwave Engineering II [etit-119] .............................................................................34Mathematics for Engineering Sciences I [MIng-1] .......................................................36Mathematics for Engineering Sciences II [MIng-2] ......................................................39Mathematics for Engineering Sciences III [MIng-3] .....................................................42Communications [etit-114] ...........................................................................................45Physics for Engineers I + II [MNF-phys-Ing] ..................................................................48Linear Control [etit-109] ...............................................................................................50Signals and Systems I [etit-104] ................................................................................. 53Signals and Systems II [etit-108] ................................................................................ 56Principles of Information Technology [etit-117] ........................................................... 59

Technical In-depth Modules [etit] .................................................................................... 61Elements of Electric Drives for e-mobility [etit-211] .....................................................62Digital Audio Effects [etit-636] ..................................................................................... 64Digital Signal Processing [etit-202] ............................................................................. 67Electromagnetic Compatibility [etit-206] ...................................................................... 69Principles of Channel Coding [etit-201] .......................................................................72Electrical Power Devices [etit-209] ..............................................................................75High Frequency Measurements [etit-205] ................................................................... 77Model-based Identification and Estimation [etit-214] ...................................................79Optical Communications [etit-513] ...............................................................................81Fundamentals for the Fabrication of Electronic Devices [etit-612] .............................. 84Power System Elements for Smart Grid and Renewable Energy Integration [etit-212]

................................................................................................................................. 87Radar [etit-204] ............................................................................................................90Noise in Communication and Measurement Systems [etit-628] .................................. 92Sensors [etit-210] ........................................................................................................ 95Wireless Communications (DSP) [etit-512] ................................................................. 98

Lab Courses and Projects [etit] .....................................................................................101Basic Laboratory Electrical Engineering [etit-314] .....................................................102Project [etit-305] ........................................................................................................ 104

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Introductory Project Electrical Engineering [etit-313] .................................................106Advanced Lab Courses [etit] ................................................................................... 108

B.Sc. Laboratory: Embedded Signal Processing [etit-316] ..................................... 109B.Sc. Laboratory Microwave Engineering [etit-307] ................................................112B.Sc. Laboratory Power Electronics [etit-309] ........................................................ 115B.Sc. Laboratory Micro-Nano-Optosystems [etit-311] .............................................117B.Sc. Laboratory Communications and Information Technology [etit-310] ............. 120B.Sc. Laboratory Control and System Dynamics [etit-312] .....................................122B.Sc. Laboratory Simulation of Optical Sensors [etit-315] ......................................124B.Sc. Laboratory System Theory [etit-306] .............................................................127

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

ProloguePlease find the descriptions of the computer science modules that are part of the Bachelor'sdegree programme "Electrical Engineering and Information Technology" on the following websites:

• Inf-CompSys - Computer Systems: https://mdb.ps.informatik.uni-kiel.de/show.cgi?Mod-Data/show/ModData429

• NF-Inf-1v - Computer Science I: https://mdb.ps.informatik.uni-kiel.de/show.cgi?Mod-Data/show/ModData507

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Name Code

Electrical Engineering and Information Technology 82|048|-|H|2017|1200

Organizer

Faculty

Faculty of Engineering

Examination Office

ECTS Credits 210

Evaluation Graded

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Name Code

Technical Compulsory Modules etit

Organizer

Faculty

Faculty of Engineering

Examination Office

ECTS Credits 147

Evaluation Graded

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory -

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory -

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Electrical Energy Technology etit-107

Module Coordinator

Prof. Dr.-Ing. Marco Liserre

Organizer

Institute of Electrical Engineering and Information Technology - Power Electronics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 6

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 180 hours

Contact Time 60 hours

Independent Study 120 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)

Recommended Requirements

• Fundamentals of Electrical Engineering I – III (Modules etit-101, etit-102 and etit-103)• Mathematics for Engineering Sciences I – III (Modules MIng-1, MIng-2 and MIng-3)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Electrical Energy Technology Compulsory 3

Exercise Electrical Energy Technology Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Electrical EnergyTechnology

Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

0 Introduction 1 Multiphase systems1.1 Creating multiphase systems1.2 Linking multiphase systems1.3 Linked three-phase systems with symmetrical generator1.4 Symmetrical components1.5 Faults in three-phase networks 2 Transformers2.1 Inductors with an iron core2.2 Single-phase transformers2.3 Three-phase transformers2.4 Parallel operation of transformers 3 General induction machines3.1 Induced voltage, torque, power (electromagnetic behaviour)3.2 Motor and generator operation of machines 4 Induction machines (asynchronous machines)4.1 Method of operation4.2 Electrical operating characteristics and equivalent circuit diagram4.3 Torque behaviour4.4 Execution, application and speed control 5 Synchronous machines5.1 Method of operation5.2 Electrical operating characteristics5.3 Torque behaviour5.4 Phase-shifting operations in the power grid

Learning Outcome

The students are able to explain multiphase systems and the common models of symmetrical compon-ents/space vectors. They can describe the operation of transformers, induction machines including rotatingfield creation, asynchronous machines and synchronous machines. The students are able to determine theoperating characteristics of the components of electrical energy systems. They can apply the calculationprocedure for three-phase networks.

Reading List

• Möller, Klaus: Grundgebiete der Elektrotechnik III; Verlag der Augustinus-Buchhandlung, Aachen,1995 (Nachdruck)

• Fischer, Rolf: Elektrische Maschinen; Hanser-Verlag, München, 2006

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 4.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Electromagnetic Fields I etit-106

Module Coordinator

Prof. Dr.-Ing. Ludger Klinkenbusch

Organizer

Institute of Electrical Engineering and Information Technology - Computational Electromagnetics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 6

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 180 hours

Contact Time 60 hours

Independent Study 120 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)

Recommended Requirements

• Fundamentals of Electrical Engineering I – III (Modules etit-101, etit-102 and etit-103)• Mathematics for Engineering Sciences I – III (Modules MIng-1, MIng-2 and MIng-3)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Electromagnetic Fields I Compulsory 3

Exercise Electromagnetic Fields I Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: ElectromagneticFields I

Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Basics: Vector analysis, integral sets, Maxwell's equations, material equations, boundary conditions. Electrostatics: Definition, field equations, potential, Coulomb integral, Poisson equation and Laplace equa-tion, mirroring method, uniqueness theorem, capacity, potential and capacity coefficients, dipole, pointdipole, polarisation, electrical double layer, energy and forces in the electric field. Electric field of stationary currents: Fields in conductors, Ohm's law, boundary conditions, Kirchhoff's equati-ons, duality conductance - capacity, dielectric absorption. Magnetic field of stationary currents: Ampere's law, vector potential, Biot-Savart law, magnetic dipole,magnetisation.

Learning Outcome

The students have a basic understanding of the field concepts, and can explain them. The students arefamiliar with procedures for mathematical and physical modelling of field problems, including their pro-blem-specific and efficient solution. They can also apply these procedures.

Reading List

• Blume S.: Theorie elektromagnetischer Felder (4. Auflage), Heidelberg: Hüthig 1994• Lehner, G.: Elektromagnetische Feldtheorie (2. Auflage), Berlin: Springer 1994• Dirks, H.K.: Formelsammlung zur Theoretischen Elektrotechnik, CAU Kiel, 2003.• Wolff, I.: Grundlagen und Anwendungen der Maxwellschen Theorie (I und II), Teil I: Berlin: Springer

1996, Teil II: Mannheim: Bibliographisches Institut, 1970• Küpfmüller, K, Kohn, G.: Theoretische Elektrotechnik und Elektronik (15. Aufl.), Berlin: Springer 1999• Simonyi, K.: Theoretische Elektrotechnik, Berlin: Deutscher Verlag der Wissenschaften 1989• Balanis, C.A.: Advanced Engineering Electromagnetics, New York : Wiley 1989• Ulaby, F.T.: Fundamentals of Applied Electromagnetics: 2004, Prentice-Hall 2004

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 4.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Electromagnetic Fields II etit-110

Module Coordinator

Prof. Dr.-Ing. Ludger Klinkenbusch

Organizer

Institute of Electrical Engineering and Information Technology - Computational Electromagnetics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One Semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Electromagnetic Fields I (Module etit-106)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Electromagnetic Fields II Compulsory 2

Exercise Electromagnetic Fields II Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: ElectromagneticFields II

Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Slowly variable electric and magnetic fields: Slow electrical balance processes, law of induction, magneticfield energy, induction coefficients, forces in the magnetic field. Rapidly variable electromagnetic fields: Plane waves, phase velocity, polarisation, dispersion, group velo-city, Poynting vector, waveguides (TEM, TE, TM), dielectric waveguide, electrodynamic potentials, Lorenzgauge, Hertzian and Fitzgerald dipoles, reciprocity theorem. Quasi-stationary fields: Definition, calibration, displacement-current-free quasi-stationary fields (eddy currenttheory) and eddy-current-free quasi-stationary fields.

Learning Outcome

Building up on the knowledge gained in the module "Electromagnetic Fields I", the fundamentals of wavepropagation are conveyed, which are important for understanding wireless and optical transmission techno-logy, for example. The module ends with the Hertzian elementary dipole, which can be described as a cano-nical antenna, and serves as a fundamental element of all technical antennae. These rapidly changing fieldsmust be distinguished from slowly changing and quasi-stationary processes, in which parts of the fields canbe neglected, and which form part of the modelling of many technically-related problems (e.g. those witheddy currents). Advanced modules (e.g. High-frequency Technology, Electromagnetic Compatibility, OpticalTelecommunications) can take advantage of the basics conveyed here.

Reading List

• Blume S.: Theorie elektromagnetischer Felder (4. Auflage), Heidelberg: Hüthig 1994• Lehner, G.: Elektromagnetische Feldtheorie (2. Auflage), Berlin: Springer 1994• Dirks, H.K.: Formelsammlung zur Theoretischen Elektrotechnik, CAU Kiel, 2003.• Wolff, I.: Grundlagen und Anwendungen der Maxwellschen Theorie (I und II), Teil I: Berlin: Springer

1996, Teil II: Mannheim: Bibliographisches Institut, 1970• Küpfmüller, K, Kohn, G.: Theoretische Elektrotechnik und Elektronik (15. Aufl.), Berlin: Springer 1999• Simonyi, K.: Theoretische Elektrotechnik, Berlin: Deutscher Verlag der Wissenschaften 1989• Balanis, C.A.: Advanced Engineering Electromagnetics, New York : Wiley 1989• Ulaby, F.T.: Fundamentals of Applied Electromagnetics: 2004, Prentice-Hall 2004• Popovic, Z., Popovic, B.D.: Introductory Electromagnetics, Prentice-Hall 2000

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 5.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Electronics etit-105

Module Coordinator

Prof. Dr. Hermann Kohlstedt

Organizer

Institute of Electrical Engineering and Information Technology - Nano Electronics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 7

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 210 hours

Contact Time 75 hours

Independent Study 135 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)

Recommended Requirements

• Fundamentals of Electrical Engineering I – III (Modules etit-101, etit-102 and etit-103)• Mathematics for Engineering Sciences I – III (Modules MIng-1, MIng-2 and MIng-3)• Basics of Materials Science (Module mawi-E007)• Computer Systems (Module Inf-CompSys)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Electronics Compulsory 3

Exercise Electronics Compulsory 2

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Electronics Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Basics: Silicon, doping, energy-band model, space-charge region, drift and diffusion currents, diodes, transi-stors, integrated circuits. Ideal operational amplifiers: Operating characteristics, circuits with inverted and non-inverted operationalamplifiers, non-linear applications, deviations from ideal behaviour. Analogue circuits: Amplifier circuits, principle of feedback, setting the operating point, small-signal parame-ters, basic circuits with a transistor, power sources, reference voltage sources, cascade, differential ampli-fiers, structure of an integrated operational amplifier. Digital circuits: Depiction of logical conditions for electrical states, implementation of switching functions inCMOS technology, transfer gates, combinatorial circuits (gates, multiplexers, decoders, summers), sequen-tial circuits (latch, flip-flop, shift register, counter), memory (RAM, ROM, PROM, EPROM, EEPROM, flash). The module is complemented by experiments during the lab course.

Learning Outcome

The students are able to explain the active and functional principles of the various semiconductor devices.They can also explain the basic circuits - analogue and digital, discrete and integrated. The students canconvey basic principles, such as negative and positive feedback for the design of electronic circuits. Thestudents are able to represent the basics required for production of a field effect transistor.

Reading List

• Harald Hartl et al., Elektronische Schaltungstechnik• Pearson-Studium, ISBN: 978-3-8273-7321-2• Müller, R.: Bauelemente der Halbleiterelektronik (4. Auflage), Springer 1991• Möschwitzer, A.: Grundlagen der Halbleiter- & Mikroelektronik (Band 1 und 2), Hanser 1992• Köstner, R., Möschwitzer, A.: Elektronische Schaltungen, Hanser 1993• Siegl, J.: Schaltungstechnik (2. Auflage), Springer 2005• Hoffmann, K.: Systemintegration, Oldenbourg 2003• Jaeger, R. C.: Microelectronic Circuit Design, McGraw-Hill 1997• Horowitz, P., Winfield, H.: The Art of Electronics (2. Auflage), Cambridge University Press 1991• Floyd, T.: Digital Fundamentals (9. Auflage), Pearson Prentice Hall 2006• Maxfield, C.: Bebop to the Boolean Boogie (2. Auflage), Newnes (Elsevier Science) 2003

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 4.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Fundamentals of Electrical Engineering I etit-101

Module Coordinator

Prof. Dr. Martina Gerken

Organizer

Institute of Electrical Engineering and Information Technology - Integrated Systems and Photonics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 7

Evaluation Graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 210 hours

Contact Time 75 hours

Independent Study 135 hours

Teaching Language German

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Fundamentals of Electrical Engineering I Compulsory 3

Exercise Fundamentals of Electrical Engineering I Compulsory 2

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Fundamentals ofElectrical Engineering I

Written Examina-tion

Graded Compulsory -

Further Information on the Examination(s)

Written final examination and course-related bonuses in the form of online tests and participation in labora-tory work.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

The topic of the module is steady state processes in electrical circuits, as well as in electricaland magnetic fields. The following topics are covered:

• Basic concepts: charge, current strength, potential, voltage, electric field strength• Two-terminal circuits: passive, active, linear, non-linear, current-voltage curve, resistance,Ohm's law,

ideal source, linear source, internal resistance• Two-terminal networks: operating point, performance tuning, node set, mesh kit,replacement resi-

stance, equivalent voltage source, back-up power source, overlay set, voltage divider, bridge circuit• Two-port networks: current condition, two-port equations, equivalent two-port network, twoport para-

meters, set of characteristic curves, controlled source• Network analysis: graph, complete tree, setting up linear independent branch, node and mesh equa-

tions• The electric field: homogeneous, inhomogeneous, field lines, current density, electricpotential field,

electrostatic field, induction, electric flux density, permittivity, point loads,electric dipoles, capacity,replacement capacity

• The magnetic field: magnetic flux density, Lorentz force, Ampere's law, permeability,magnetic fieldstrength, Biot-Savart law

Learning Outcome

The students are able to identify and explain the basic concepts of electrical engineering. They are familiarwith simple physical models for electrical engineering devices, and can explain them.The students are able to calculate static and stationary electrical and magnetic fields for simple geometricarrangements. In addition, they are able to calculate and redesign simple electrical DC circuits, with linearand non-linear one-port and two-port networks. In the laboratory, the students are able to measure electricalvariables in simple experimental set-ups, explain their results, and operate typical electro-technical labora-tory equipment.

Reading List

Compulsory literature:• „Elektrotechnik“ von Manfred Albach, Pearson Studium.

Further literature:• „Grundgebiete der Elektrotechnik Band 1: Stationäre Vorgänge” von Arnold Führer, Klaus Heide-

mann und Wolfgang Nerreter, Hanser Fachbuchverlag.• „Grundlagen der Elektrotechnik“ von Gert Hagmann, Aula.• „Grundlagen der Elektrotechnik“ von Reinhold Pregla, Hüthig.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 1.

Bachelor, 1-Subject, Computer Science, (Version 2007) Compulsory 1.

Bachelor, 1-Subject, Mathematics, (Version 2017) Optional 1.

Bachelor, 1-Subject, Mathematics, (Version 2007) Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 1.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Fundamentals of Electrical Engineering II etit-102

Module Coordinator

Prof. Dr. Martina Gerken

Organizer

Institute of Electrical Engineering and Information Technology - Integrated Systems and Photonics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 7

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 210 hours

Contact Time 75 hours

Independent Study 135 hours

Teaching Language German

Recommended Requirements

• Fundamentals of Electrical Engineering I (Module etit-101)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Fundamentals of Electrical Engineering II Compulsory 3

Exercise Fundamentals of Electrical Engineering II Compulsory 2

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Fundamentals ofElectrical Engineering II

Written Examina-tion

Graded Compulsory -

Further Information on the Examination(s)

Written final examination and course-related bonuses in the form of online tests and participation in labora-tory work.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

The topic of the module is time-dependent processes in electrical and magnetic fields, as well as innetworks. The following topics are covered:

• Time-dependent electrical and magnetic fields• Power and energy in electromagnetic fields• Periodic time-dependent variables• Linear two-terminal circuits on sinusoidal voltage• Networks with sinusoidal sources at the same frequency• Networks at different frequencies• Three-phase current• Basics of measurement technology

Learning Outcome

The students are familiar with physical models for concentrated components, and can explain them. Theycan explain and differentiate between the time range and phasor range. The students are able to calculatetime-dependent quasi-stationary electrical and magnetic fields for simple geometric arrangements. In addi-tion, they are able to calculate and dimension electrical alternating current circuits and filter networks. Theycan describe electrical measurement techniques, and perform simple error analysis. In the laboratory, thestudents are able to measure electrical variables in simple experimental set-ups, explain their results, andoperate typical electro-technical laboratory equipment.

Reading List

Compulsory literature:• „Elektrotechnik“ von Manfred Albach, Pearson Studium.

Further literature:• „Grundgebiete der Elektrotechnik Band 2: Zeitabhängige Vorgänge” von Arnold Führer, Klaus Hei-

demann und Wolfgang Nerreter, Hanser Fachbuchverlag.• „Grundlagen der Elektrotechnik“ von Gert Hagmann, Aula.• „Grundlagen der Elektrotechnik“ von Reinhold Pregla, Hüthig.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 2.

Bachelor, 1-Subject, Computer Science, (Version 2007) Compulsory 2.

Bachelor, 1-Subject, Mathematics, (Version 2017) Optional 2.

Bachelor, 1-Subject, Mathematics, (Version 2007) Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 2.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Fundamentals of Electrical Engineering III etit-103

Module Coordinator

Prof. Dr. Robert Rieger

Organizer

Institute of Electrical Engineering and Information Technology - Networked Electronic Systems

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 7

Evaluation Graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 210 hours

Contact Time 75 hours

Independent Study 135 hours

Teaching Language German

Recommended Requirements

• Fundamentals of Electrical Engineering I and II (Modules etit-101 and etit-102)• Mathematics for Engineering Sciences I and II (Modules MIng-1 and MIng-2)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Fundamentals of Electrical Engineering III Compulsory 3

Exercise Fundamentals of Electrical Engineering III Compulsory 2

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Fundamentals ofElectrical Engineering III

Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

The topic of the module is the analysis of transient state processes in electrical networks. The followingtopics are covered:

• Source transformation and source shifting (standby electric source and equivalent voltage source)• Calculation of transient events using differential equations (RC circuits, RL circuits)• Calculation of transient effects using differential equations (RLC circuits)• Harmonic analysis and synthesis of periodic waveforms using the Fourier series• Analysis of non-periodic signals using the Fourier integral• Network analysis using Laplace transformation• Procedures for mesh current and node potential analysis for network calculation• Linearisation of non-linear network components at the operating point• Technical tools for network analysis (numerical simulation, symbolic calculation

Learning Outcome

The students are familiar with the fundamental network analysis procedures, and are able to select theappropriate procedure to find the required solution. They are proficient in the calculation of transient stateprocesses in linear networks (sinusoidal and non-sinusoidal, periodic and aperiodic), and can determinevariations in currents and voltages over time as a result of electrical stimulation.The students are familiar with the procedures for network simplification (source transformation and sourceshifting, matrix processes, linearisation), and can apply them. They also have knowledge of the most import-ant tools for result verification, and can name them.

Reading List

• Albach, M.: Grundlagen der Elektrotechnik 2 („Periodische und nicht- periodische Signalformen“) –1. Auflage, Pearson Verlag, ISBN 978-3-8273-71-08-9

• Schmidt, LP.; Schaller, G.; Martius, S.: Grundlagen der Elektrotechnik 3 („Netzwerke”), Pearson Ver-lag

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 3.

Bachelor, 1-Subject, Computer Science, (Version 2007) Compulsory 3.

Bachelor, 1-Subject, Mathematics, (Version 2017) Optional 3.

Bachelor, 1-Subject, Mathematics, (Version 2007) Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 3.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Basics of Materials Science mawi-E007

Module Coordinator

Prof. Dr. Rainer Adelung

Organizer

Institut für Materialwissenschaft - Funktionale Nanomaterialien

Faculty

Faculty of Engineering

Examination Office

Examination Office for Materials Science

ECTS Credits 7

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 210 hours

Contact Time 75 hours

Independent Study 135 hours

Teaching Language German

Recommended Requirements

• First half of the two-semester module Physics for Engineers I + II (Modul MNF-phys-Ing)• Mathematics for Engineering Sciences I (Module MIng-1)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Basics of Materials Science Compulsory 3

Exercise Basics of Materials Science Compulsory 2

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Basics of MaterialsScience

Written Examina-tion

Graded Compulsory -

Further Information on the Examination(s)

Written examination.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Crystals: Ideal crystals, Miller indices, basic grid, defects, real crystals.

Conductors: Classical treatment of free electrons in metal, potential well model, Fermi distribution and occu-pancy level, ionic conductors, applications.

Semiconductors: Binding model, energy-band model, intrinsic semiconductors, extrinsic semiconductors,status of the Fermi level, conductivity, contacts, applications.

Dielectric materials: Polarisability and polarisation (electron, ions and orientation polarisation), special diel-ectrics (ferroelectricity, piezoelectricity), dielectric materials in alternating electric fields (frequency response,dynamic properties, dielectric losses), optical properties.

Magnetic materials: Manifestations of magnetism (diamagnetism, paramagnetism, ferromagnetism), magne-tisation, magnetisation curve, walls and domains, permeability, frequency response, applications.

Learning Outcome

The primary goal is to introduce students to the basics of dielectric and magnetic materials and semiconduc-tor materials. The course serves as a basis for further compulsory and compulsory elective modules (Elec-tromagnetic Fields, High-frequency Technology, Electronics, Electrical Power Technology,...) and in particu-lar for the basic practical course.

The competences conveyed are:• Basic factual knowledge of materials science; in particular also on numbers, possibilities and limita-

tions.• Basics of the microstructure of materials and surfaces, as well as supporting the understanding of

the importance of functional materials for electro-technical applications, particularly in the areas ofHF technology, microelectronics, solar technology, optoelectronics, MEMs or sensors.

• Development of competence in dealing with learning modules, for the independent development ofbasic knowledge, and critical use of the internet.

• Independent processing and deepening of the lecture material through detailed learning modules onthe internet (including multiple choice tests with online evaluation).

• Experience with applying the basic knowledge learned through implementation in the related intern-ships.

• Involvement in vocational preparation: relevant technical core competence for industry and for rese-arch.

Reading List

• H. Föll: Hyperskript „Grundlagen der Materialwissenschaft für Elektro- und Informationstechniker“http://www.tf.uni-kiel.de/matwis/amat/mw_for_et/index.html

• Fischer, H.; Hofmann, H.; Spindler, J.: Werkstoffe in der Elektrotechnik, 4. Auflage, Hanser Lehrbuch• Schaumburg, H.: Einführung in die Werkstoffe der Elektrotechnik, B.G. Teubner, Stuttgart• Askeland: The Science and Engineering of Materials• Shackelford: Werkstofftechnologie für Ingenieure• G. F. Fasching: Werkstoffe für die Elektrotechnik• W. v. Münch: Werkstoffe der Elektrotechnik

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 2.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Microwave Engineering I etit-118

Module Coordinator

Prof. Dr.-Ing. Michael Höft

Organizer

Institute of Electrical Engineering and Information Technology - Microwave Engineering

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Electromagnetic Fields I (Module etit-106)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Microwave Engineering I Compulsory 2

Exercise Microwave Engineering I Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Microwave Enginee-ring I

Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Introduction to high-frequency technology: Frequency spectrum, transmission line.

Basics of non-linear circuits: Classification of non-linear circuits, calculation using Taylor series, nonlineardistortions, distortion factor, intermodulation, blockade, calculation with multiple Fourier series,describing function, parametric calculation, mixture.

Basics of transmission line theory: Transmission lines, line equivalent circuit diagram, telegraphequations, wave equation, lines in steady state, propagation constant, characteristic impedance,reflection factor, voltage standing-wave ratio, incident wave quantities, current and voltagedistribution, impedance transformation, line resonators and filter designs based on them, circuitanalysis, transmission matrix, scattering matrix, basic knowledge of the Smith chart.

The acquired competences are relevant for all areas of electrical engineering, where propagationphenomena play a role. This applies, for example, to energy supply networks as well as to fast digit alcircuits.

Learning Outcome

The students know and understand the basics of high-frequency technology, and can apply them inorder to analyse and assess the respective circuits.The students are familiar with various non-linear electronic circuits, and can classify the circuits forwhich non-linearity is undesirable and may cause distortion, for example, as well as those where it isused deliberately or even necessary, in order to create the circuit functions. The students are able toapply mathematical methods to calculate non-linear circuits, determine which approximate solutionmakes sense in specific cases, and assess the solution of the calculation.In addition, the students are familiar with electrical circuits and systems with distributed switchingelements, in which time delays can occur. The students are able to describe and calculate appropriatecircuits based on transmission line theory, using the one-dimensional wave propagation ontransmission lines, in sinusoidal steady state and with pulsed excitation, so that the elements can beused as dispersion media and switching elements. The students are able to investigate and evaluatethe solution.

Reading List

• Höft, M.: Leitungstheorie, Vorlesungsumdruck, CAU Kiel, 2015.• Unger, H.-G.: Elektromagnetische Wellen auf Leitungen, Hüthig, 1996.• Unger, H.-G., Schultz, W.: Elektronische Bauelemente und Netzwerke I+II, Vieweg.• Chua, L. O., Desoer, A. C., Kuh, E. S.: Linear and Nonlinear Circuits, McGraw-Hill, 1987.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 5.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Microwave Engineering II etit-119

Module Coordinator

Prof. Dr.-Ing. Michael Höft

Organizer

Institute of Electrical Engineering and Information Technology - Microwave Engineering

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 6

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 180 hours

Contact Time 60 hours

Independent Study 120 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Electromagnetic Fields I and II (Modules etit-106 and etit-110)• Microwave Engineering I (Module etit-118)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Microwave Engineering II Compulsory 3

Exercise Microwave Engineering II Compulsory 2

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Microwave Enginee-ring II

Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

In-depth knowledge of transmission line theory (building on the basics of transmission line theorywhich were learned in the module "High-frequency Technology I"): Matching circuits with a Smithchart, line surges, coupled lines.Basics of antennae: Radiation, far-field approximation, characteristics of antennae, technical forms ofantennae.Wave propagation: Ground waves, space waves, multipath scattering, fading.High-frequency transmitters and performance boosting: Basic operating modes of the electronicamplifier (A, B, AB and C circuits), transmitter amplifiers with valves (klystron, travelling-wave tube,magnetron) and semiconductors (transistors, diodes).High-frequency reception: Preamp with MESFET, overlay reception, sensitivity and noise.

Learning Outcome

The students know and understand high-frequency technology components and subsystems, as wellas the related wave propagation effects. They can explain their interaction, in particular to describe ananalogue transmission system consisting of transmitter, transmission channel and receiver. Thestudents are familiar with wired transmission routes, but especially with wireless transmission,consisting of transmit/receive antennae with intermediate radio link, such as in mobile and satelliteconnections. The students are able to calculate, analyse and assess the transmission characteristicsof the individual elements.

Reading List

• Höft, M.: Leitungstheorie, Vorlesungsumdruck, CAU Kiel, 2015.• Höft, M.: Hochfrequenztechnik - Antennen, Sender, Empfänger, Vorlesungsumdruck, CAU Kiel,

2015.• Unger, H.-G.: Elektromagnetische Wellen auf Leitungen, Hüthig, 1996.• Zinke, O., Brunswig, H.: Hochfrequenztechnik 1, Springer 1995.• Pozar, D. M.: Microwave Engineering, Wiley, 2005.• Unger, H.-G.: Hochfrequenztechnik in Funk und Radar, Teubner 1994.• Voges, E.: Hochfrequenztechnik, Band 1 und 2, Hüthig-Verlag, 1986.• Unger, H.-G., Schultz, W.: Elektronische Bauelemente und Netzwerke I+II, Vieweg.

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Mathematics for Engineering Sciences I MIng-1

Module Coordinator

Prof. Dr. Detlef Müller

Organizer

Sektion Mathematik

Faculty

Faculty of Mathematics and Natural Sciences

Examination Office

Prüfungsamt Mathematik

ECTS Credits 9

Evaluation Graded

Duration On semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 270 hours

Contact Time 84 hours

Independent Study 186 hours

Teaching Language German

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Mathematik für die Ingenieurwissenschaften I Compulsory 4

Exercise Mathematik für die Ingenieurwissenschaften I Compulsory 2

Prerequisits for Admission to the Examination(s)

Regelmäßige Teilnahme an der Übung und Prüfungsvorleistungen können gefordert werden gemäß §4ader Fachprüfungsordnung der Mathematik von 2017. Einzelheiten werden zu Beginn der Veranstaltungbekannt gegeben. Teilnahme an der Vorlesung wird dringend empfohlen. Teilnahme an der Probeklausurwird gefordert.

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Mathematicsfor Engineering Sciences I

Written or OralExamination

Graded Compulsory -

Further Information on the Examination(s)

Klausur (max. 180 Minuten) oder mündliche Prüfung (max. 30 Min.), benotet, Gewichtung 100%

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Basics:• Quantities, functions, real and complex numbers• Proof techniques, in particular complete induction

Proof techniques, in particular complete induction with linear algebra (approx. 1.5 SWS):• Euclidean spaces: Vectors, scalar product, matrices of linear depictions, vector product in R³• Analytical geometry in R², R³• Vector spaces (with a focus on sub-spaces of the R^n), linear independence, basis, dimension• Linear depictions, matrices, rank, systems of linear equations• Determinants, inverse matrix, Cramer's rule, Laplace expansion analysis

Analysis (approx. 2.5 SWS):• Products of real numbers, convergence, Cauchy sequences• Continuity, theorems about continuous functions, polynomials, zero points, rational functions• Differential equations: Properties of differentiable functions and differentiation rules, differentiation

of elementary functions, mean value set, Taylor's formula, extremal values, L'Hospital’s rule• Infinite series (real): Convergence criteria, power series, Taylor series• Exponential function and the logarithm (real),• Trigonometric functions (motivation on the unit circle), hyperbolic functions

Learning Outcome

The students have learned the basics of engineering mathematics, in particular in linear algebra as well as one-dimensional analysis, and have mastered the basics of mathematical methodology. They are able to study further independently.

Reading List

• K. Meyberg, P. Vachenauer; "Höhere Mathematik 1", Springer• weitere Literatur wird ggf. in den Lehrveranstaltungen bekannt gegeben

Additional Information

Bei der Berechnung der Präsenzzeit wurde ein Semester mit 14 Wochen zugrunde gelegt.

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Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 1.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Mathematics for Engineering Sciences II MIng-2

Module Coordinator

Prof. Dr. Detlef Müller

Organizer

Sektion Mathematik

Faculty

Faculty of Mathematics and Natural Sciences

Examination Office

Prüfungsamt Mathematik

ECTS Credits 9

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 270 hours

Contact Time 84 hours

Independent Study 186 hours

Teaching Language German

Recommended Requirements

Kenntnis der Lerninhalte des Moduls Mathematik für die Ingenieurwissenschaften I (Modul MIng-1)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Mathematik für Ingenieure II Compulsory 4

Exercise Mathematik für Ingenieure II Compulsory 2

Prerequisits for Admission to the Examination(s)

Regelmäßige Teilnahme an der Übung und Prüfungsleistungen können gefordert werden gemäß §4a derFachprüfungsordnung der Mathematik von 2017. Einzelheiten werden zu Beginn der Veranstaltung bekanntgegeben. Teilnahme an der Vorlesung wird dringend empfohlen. Teilnahme an einer Probeklausur wirdgefordert.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Mathematicsfor Engineering Sciences II

Written or OralExamination

Graded Compulsory -

Further Information on the Examination(s)

Klausur (max. 180 Minuten) oder mündliche Prüfung (max. 30 Min.), benotet, Gewichtung 100%

Course Content

Analysis (approx. 0.5 SWS):• Integral calculus: Antiderivative, indefinite integral, substitution rule, partial integration, partial fractiondecomposition, Riemann integral, examples: continuous and monotone functions, the main principle ofdifferential and integral calculus, (exercises: in-depth partial fraction decomposition)• Improper integrals (exercises: Gamma function)

Linear algebra (approx. 0.5 SWS):• Eigenvalues and eigenvectors, characteristic polynomial• Scalar product and norm, Euclidean vector spaces, orthogonal depictions, orthonormalisation,

Cauchy-Schwarz inequality• Repetition and deepening (approx. 0.5 SWS):• Sequences and series of complex numbers• Functions with complex arguments (esp. exponential function)

Analysis, deepening ( approx. 2.5 SWS):und Integra-

• Functions in the Rn: Continuity, differentiability, tangent plane, directional derivatives, partialderivatives, gradient, the direction of steepest ascent

• Fourier series: Convergence issues, uniform convergence, term by term differentiation and integration, Bessel's inequality, trigonometric functions as orthonormal systems

• Topological terms in the Rn: open, closed, limited, compact, convergence

• Taylor's formula, extremal values of functions in several variables• (Exercises: Lagrange multipliers)

Learning Outcome

The students have learned additional basics of engineering mathematics, in particular in one-dimensional integral calculus and higher-dimensional differential calculus, as well as in linear algebra.

Reading List

• K. Meyberg, P. Vachenauer; "Höhere Mathematik 1-2", Springer• weitere Literatur wird ggf. in den Lehrveranstaltungen bekannt gegeben

Additional Information

Bei der Berechnung der Präsenzzeit wurde ein Semester mit 14 Wochen zugrunde gelegt.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 2.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Mathematics for Engineering Sciences III MIng-3

Module Coordinator

Prof. Dr. Detlef Müller

Organizer

Sektion Mathematik

Faculty

Faculty of Mathematics and Natural Sciences

Examination Office

Prüfungsamt Mathematik

ECTS Credits 9

Evaluation Graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 270 hours

Contact Time 84 hours

Independent Study 186 hours

Teaching Language German

Recommended Requirements

Kenntnisse der Lerninhalte der Module Mathematik für die Ingenieurwissenschaften I und II (Module MIng-1und MIng-2)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Mathematik für Ingenieure III Compulsory 4

Exercise Mathematik für Ingenieure III Compulsory 2

Prerequisits for Admission to the Examination(s)

Regelmäßige Teilnahme an der Übung und Prüfungsleistungen können gefordert werden gemäß §4a derFachprüfungsordnung der Mathematik von 2017. Einzelheiten werden zu Beginn der Veranstaltung bekanntgegeben. Teilnahme an der Vorlesung wird dringend empfohlen. Teilnahme an einer Probeklausur wirdgefordert.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Mathematicsfor Engineering Sciences III

Written or OralExamination

Graded Compulsory -

Further Information on the Examination(s)

Klausur (max. 180 Minuten) oder mündliche Prüfung (max. 30 Min.), benotet, Gewichtung 100%

Course Content

• Integral calculus in the Rn: Field integral, iterated integrals (Fubini), volumes, substitution rule: Polar andspherical coordinates

• Vector fields, arc lengths, curve integrals• Surface integrals: Divergence, rotation, calculating with ''nabla", path independence, potentials, integral sets

of Gauss and Stokes• Ordinary first-order differential equations: Directional derivatives, solution set, homogeneous-inhomogeneous,

implicit-explicit, variation of the constants, special first-order and second-order differential equations, powerseries approach

• Picard–Lindelöf theorem and Peano existence theorem, continuous dependence on initial conditions

• Higher-order linear differential equations and linear systems: Fundamental system, Wronskian determinant,variation of constants, characteristic polynomial with constant coefficients, determination of real fundamentalsystems

Learning Outcome

The students have further deepened their knowledge of engineering mathematics. In particular, they have learned the basics of higher-order integral calculus and higher-order integral sets, as well as the theory of ordinary differential equations.

Reading List

• K. Meyberg, P. Vachenauer; "Höhere Mathematik 1-2", Springer• weitere Literatur wird ggf. in der Vorlesung bekannt gegeben

Additional Information

Bei der Berechnung der Präsenzzeit wurde ein Semester von 14 Wochen zugrunde gelegt.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 3.

Master, 1-Subject, Economics, (Version 2014) Compulsory 3.

Master, 1-Subject, Quantitative Economics, (Version 2014) Compulsory 3.

Master, 1-Subject, Quantitative Economics, (Version 2007) Compulsory 3.

Master, 1-Subject, Quantitative Finance, (Version 2014) Compulsory 3.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Communications etit-114

Module Coordinator

Prof. Dr.-Ing. Stephan Pachnicke

Organizer

Institute of Electrical Engineering and Information Technology - Communications

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 7

Evaluation Graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 210

Contact Time 75

Independent Study 135

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Signals and Systems I and II (Modules etit-104 and etit-108)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Communications Compulsory 3

Exercise Communications Compulsory 2

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Communications Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Basic concepts: Message, information, redundancy, code, signals and models in telecommunications. Elements of telecommunications systems: Typical transmitter and receiver structures for analogue anddigital transmission, the basics of multiple access procedures TDMA, FDMA, CDMA, analogue and digitalsource signals, discretisation of analogue sources. Transmission channels: Equivalent baseband representation, complex failure envelope, Hilbert transformand analytical signal, quadrature mixing, equivalent baseband systems, baseband channel, equivalentbaseband representation of band-limited noise, idealised channel models, AWGN channel, linear and non-linear distortions, real transmission channels, satellite transmission channel, optical transmission channel,wireless channel. Modulation techniques in telecommunications: Linear modulation, single-sideband AM, vestigial-sideband,AM, quadrature modulation, synchronous and envelope demodulation, disturbance behaviour, non-linearmodulation, influence of linear channel distortions on AM and FM. Digital signal transmission: ISI and first Nyquist criterion, eye diagram, bandwidth and spectrum of a datasignal, noise-adaptive filter (matched filter), bit error probability, line coding, partial response coding, par-tial response precoding, band-limited transmission, linear and non-linear modulation formats, band-limi-ted signal transmission with linear modulation, signal space constellations for QAM and PSK, offset QPSK(OQPSK), differential PSK modulation (DPSK, DQPSK), demodulation of linear formats, band-limited trans-mission with non-linear modulation, discrete frequency modulation (FSK), minimum shift keying (MSK),Gaussian minimum shift keying (GMSK), continuous phase modulation (CPM), spectral properties, receiverstructures. Clock and carrier synchronisation: Clock synchronisation, correlative clock recovery, bit error probability withsampling jitter, carrier synchronisation, Costas and squaring loops.

Learning Outcome

The students are able to identify and explain the basic concepts of telecommunications. They know modelsfor different transmission channels and the most important modulation techniques, and can explain them.The students are able to describe typical transmitter and receiver structures in telecommunications, andthey can explain the operation of clock and carrier synchronisation procedures. The students are able to cal-culate bit error probability for different modulation formats.

Reading List

• Kammeyer, K. D., Dekorsy, A.: Nachrichtenübertragung; 6. Auflage; Springer Vieweg, Wiesbaden,2018.

• Barry, J. R., Lee, E. A., Messerschmitt, D. G.: Digital Communication; 3rd edition, Springer, NewYork, 2004.

• Höher P.A.: Grundlagen der digitalen Informationsübertragung: Von der Theorie zu Mobilfunkanwen-dungen; 2. Auflage, Springer Vieweg, Wiesbaden, 2013.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 5.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Physics for Engineers I + II MNF-phys-Ing

Module Coordinator

Organizer

Sektion Physik

Faculty

Faculty of Mathematics and Natural Sciences

Examination Office

Prüfungsamt Physik

ECTS Credits 8

Evaluation Graded

Frequency

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Physics forEngineers I + II

Written or OralExamination

Graded Compulsory -

Course Content

Learning Outcome

Reading List

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 1.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Linear Control etit-109

Module Coordinator

Prof. Dr.-Ing. habil. Thomas Meurer

Organizer

Institute of Electrical Engineering and Information Technology - Automatic Control

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 7

Evaluation Graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 210 hours

Contact Time 75 hours

Independent Study 135 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Signals and Systems I (Module etit-104)• Mathematics for Engineering Sciences I – III (Modules MIng-1, MIng-2 and MIng-3)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Linear Control Compulsory 3

Exercise Linear Control Compulsory 2

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Linear Control Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

• Introduction to automatic control questions and the system concept• Modelling of physical systems from mechanical engineering, electrical engineering, process engi-

neering, biology• Mathematical analysis of dynamical systems: Solution existence and uniqueness, linearity and time

invariance, linearisation of non-linear systems• Linear dynamic systems in the time range: Transition matrix, status and similarity transformations,

stability of linear systems• Linear dynamic systems in the frequency range: Transfer function and transfer matrix, realisation

problem and canonical forms, input-output stability, continuous frequency response, poles and zeropoints, analysis of important control circuit elements

• Analysis and design of control circuits in the frequency range: Control circuit structures, stabilitycriteria, control design with the frequency response characteristics process, control design using poleplacement

• Analysis and design of control circuits in the state space: Controllability and observability, minimalrealisation, duality, design of state regulators, design of state monitors, separation principle

Learning Outcome

The students are familiar with concepts and methods for analysis of and for regulator and monitor design forlinear systems in the frequency range and in the state space. They can formulate and explain them, and areable to derive more complex relationships using this basis.They possess practical skills in system analysis and in the design of regulators and monitors for linearsystems in the frequency range and in the state space. They can evaluate and assess their behaviour andproperties.

Reading List

• T. Meurer: Regelungstechnik I – Skriptum zur Vorlesung.• K. Aström, R. Murray: Feedback Systems, Princeton University Press, Princeton (NJ).• C.T. Chen: Linear System Theory and Design, Oxford Univ. Press, New York.• J.C. Doyle, B.A. Francis, A.R. Tannenbaum: Feedback Control Theory, New York, MacMillan.• J. Lunze: Regelungstechnik I und II, Springer-Verlag, Berlin, Heidelberg.• G. Ludyk: Theoretische Regelungstechnik 1, Springer-Verlag, Berlin Heidelberg.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 5.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Signals and Systems I etit-104

Module Coordinator

Prof. Dr.-Ing. Gerhard Schmidt

Organizer

Institute of Electrical Engineering and Information Technology - Digital Signal Processing and SystemTheory

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 7

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 210 hours

Contact Time 75 hours

Independent Study 135 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)

Recommended Requirements

• Fundamentals of Electrical Engineering I - III (Modules etit-101, etit-102 and etit-103)• Mathematics for Engineering Sciences I - III (Modules MIng-1, MIng-2 and MIng-3)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Signals and Systems I Compulsory 3

Exercise Signals and Systems I Compulsory 2

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Signals and Systems I Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Introduction: Physical motivation of abstract signals and systems; classifications; determinate signals andtheir spectra: elementary signals, signal representation by linear combination of impulses, jumps, exponenti-als, Fourier series and discrete Fourier transform (DFT), Fourier transformation, Laplace transformation andZ-transformation. Input-output description of linear, shift-invariant, dynamic systems: Elementary signal reactions, folding,transfer function and frequency response; rational transfer functions, poles and zero points, stability, specialcases (zero phase, all-pass filter, minimum-phase); examples of characteristics in the "time range" and "fre-quency range". Modulation as a specific shift-variant system; linear and non-linear modulation, applications in communicati-ons technology, scanning as modulation, sampling theorem.

Learning Outcome

The students are able to classify systems and signals into groups or categories, on the basis of their pro-perties (e.g. linear versus non-linear systems, signals with limited versus unlimited energy). Based on theseclassifications, the students are able to translate the various description forms for signals (time range, fre-quency range) and systems (pulse response, step response, state space, frequency response, transfer fun-ction) into each other, as well as to highlight the advantages and disadvantages of the description forms. Inaddition, the students are able to recognise equivalent operations in the individual domains (a folding in thetime range corresponds to a multiplication in the spectral range).

Reading List

• Updated bibliography will be distributed during the lecture.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 4.

Bachelor, 1-Subject, Computer Science, (Version 2007) Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 4.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Signals and Systems II etit-108

Module Coordinator

Prof. Dr.-Ing. Gerhard Schmidt

Organizer

Institute of Electrical Engineering and Information Technology - Digital Signal Processing and SystemTheory

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Signals and Systems I (Module etit-104)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Signals and Systems II Compulsory 2

Exercise Signals and Systems II Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Signals and SystemsII

Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Introduction: Motivation of the advanced treatment of abstract signals and systems; stochastic signals andtheir spectra: Primary descriptions (probability, probability density, uni-variant and multi-variant, stationaryand non-stationary), secondary descriptions (expected values, moments, correlation / covariance), indepen-dence / uncorrelatedness / orthogonality, simple operations (summation, depiction), power spectral density,examples and special cases. Response of linear, shift-invariant, dynamic systems to random signals: Moments and probabilities ofsystem output; spectral description. Idealised linear systems: Influence of different stylised systems (ideal band filters, accentuation, frequencyresponse variations, etc.) on determinate and stochastic signals; special case of "Hilbert transform", analyti-cal signal, causality. Status description: Vectors of input, output and state variables, basic structure of linear systems, storageand statuses, signal-flow graphs (SFGs), transmission, impulse response and transition matrices, elementsand relationships, stability, realisation of the SFG to transfer function and differential and/or difference equa-tion. Quantisation as a specific non-linear system, linear and non-linear quantisation, quantisation noise, A/D andD/A converters.

Learning Outcome

Students know stochastic signals, and are familiar with random processes and their typical descriptionforms (probability density, correlation, spectral power density). In addition, students have a deeper under-standing of system descriptions in the state space, including the equivalent system transformations intro-duced there. Students have a fundamental understanding of scanning, or digitalisation. In addition, theyare able to apply their acquired knowledge to system analysis (e.g. for analysis of passive circuits) and tosystem design (e.g. location or angle estimation using correlation analysis).

Reading List

• Updated bibliography will be distributed during the lecture.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Compulsory 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Compulsory 5.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Principles of Information Technology etit-117

Module Coordinator

Prof. Dr.-Ing. Peter A. Höher

Organizer

Institute of Electrical Engineering and Information Technology - Information and Coding Theory

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 6

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 180 hours

Contact Time 90 hours

Independent Study 90 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)

Recommended Requirements

• Signals and Systems I (Module etit-104)• Mathematics for Engineering Sciences I – III (Modules MIng-1, MIng-2 and MIng-3)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Principles of Information Technology Compulsory 3

Exercise Principles of Information Technology Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Principles of Informa-tion Technology

Written Examina-tion

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Basic concepts of information theory:• Information dimensions according to Hartley and Shannon, self-information, mutual information, ent-

ropy, conditional entropy, redundancy, typical consequencesBasic concepts of discrete probability:

• Random variables, probability function, conditional probability function, composite probability func-tion, statistical independence, chain rule of probability

Basic concepts of continuous probability:• Cumulative probability function, probability density function, differential entropy

Basics of source coding:• Memory-free sources, Shannon's source coding theorem, lossless source coding (Huffman coding,

Willems algorithm)Basics of channel coding:

• Shannon’s channel coding theorem, channel capacity of the discrete time and continuous transmis-sion channel

Basics of cryptology:• Classical cryptographic systems, Shannon's theory of secrecy, cryptographic systems with public

keys (RSA system), authentication

Learning Outcome

The students are able to identify and explain the basic concepts of information technology. They knowthe basic procedures of source coding (data compression), channel coding (protection againsttransmission errors) and cryptology (data security), and can explain them. In addition, the students areable to estimate the performance of coding systems on the basis of theoretical barriers.

Reading List

• Höher, P.A.: Grundlagen der digitalen Informationsübertragung, Springer-Vieweg Verlag, 2. Aufl.,2013

• Johannesson, R.: Informationsteorie - Grundlagen der (Tele)-Kommunikation, Addison-Wesley, 1992• Cover T.M. und Thomas, J.A., Elements of Information Theory, John Wiley & Sons, 2. Auflage 2006

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 4.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 4.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Name Code

Technical In-depth Modules etit

Organizer

Faculty

Faculty of Engineering

Examination Office

ECTS Credits 12

Evaluation Graded

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory -

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory -

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Elements of Electric Drives for e-mobility etit-211

Module Coordinator

Prof. Dr.-Ing. Marco Liserre

Organizer

Institute of Electrical Engineering and Information Technology - Power Electronics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Electrical Energy Technology (Module etit-107)• Linear Control (Module etit-109)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Elements of Electric Drives for e-mobility Compulsory 2

Exercise Elements of Electric Drives for e-mobility Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Elements ofElectric Drives for e-mobility

Written or OralExamination

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

• Basic knowledge of electrical drives• Configurations of electrical drives• Design of electrical drives for electric vehicles• Fundamentals of power converter regulation for DC machines• Knowledge of the power train of electric vehicles

Learning Outcome

The students are familiar with the basics of electrical drives, power converters and the power train of electricvehicles. They can describe the advantages and disadvantages of various technologies for electric vehiclesand hybrid vehicles, calculate the underlying physical phenomena, and differentiate between different tech-nical solutions. They can also explain models for DC machines, and implement appropriate regulators.

Reading List

• I. Boldea, S.A. Nasar, Electric Drives, 2004• N. Mohan, Electric drives: an integrative approach, 2003

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Digital Audio Effects etit-636

Module Coordinator

Dr.-Ing. Klaus Linhard

Organizer

Institute of Electrical Engineering and Information Technology - Digital Signal Processing and SystemTheory

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One Semester

Frequency Takes place on an irregular basis

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language English

Further Information on the Teaching Language

The language of instruction is English. This module is suitable for students with English language skillsaccording to the Common European Framework (CEF) level B2.

Entry Requirements as Stated in the Examination Regulations

This module is suitable as technical optional module in the bachelor’s degree programmes „Electrical Engi-neering and Information Technology“ and „Electrical Engineering, Information Technology and BusinessManagement“.

Recommended Requirements

• Signals and Systems I (module etit-104)• Signals and Systems II (module etit-108)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Digital Audio Effects Compulsory 2

Exercise Digital Audio Effects Compulsory 1

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Oral Examination: Digital Audio Effects Oral Examination Graded Compulsory -

Further Information on the Examination(s)

Further information on the examinations offered by the Institute of Electrical Engineering and InformationTechnology (EE&IT) can be found on the website of the Examination Office EE&IT.

Course Content

In this lecture the basics of audio effects are treated. Topic overview:Digital signal processing - summary

• Ordered sequences of numbers• Difference equations• Linear systems

Frequency-domain processing - summary• Discrete Fourier transform• Fast convolution• Transfer functions and spectra

Introduction to MATLAB and motivation Digital filters• A, B,C, R468 weighting filters• Equalizer• Sampling rate conversion

Dynamic compression• Fullband• Multiband• De-esser

Room acoustics and reverberation• Impulse response• Reverberation

Learning Outcome

During the lecture and the exercises basic procedures of digital audio effects should be acquainted. In parti-cular, these are methods for audio equalizing, compression and reverberation. MATLAB is used for demon-stration of the algorithms. Digital audio effects mean the application of digital signal processing for thesespecial audio tasks. The students get familiar with audio effects; get some practice on applied signal proces-sing and MATLAB and finally from the audio examples the students should get some listening experienceabout how audio effects sound.

Reading List

Books:• Zölzer, U.: Digital Audio Effects, John Wiley & Sons, 2011• Zölzer, U.: Digital Audio Signal Processing, John Wiley & Sons, 2008• Zölzer, U.: Digitale Audiosignalverarbeitung, Vieweg+Teubner Verlag, 2005• Smith, J.O.: Introduction to Digital Filters: with Audio Applications, W3K Publishing,2007• Smith, J.O.: Mathematics of the Discrete Fourier Transform (DFT): with audio Applications, De Gruy-

ter Saur,2013• Smith, J.O.: Spectral Audio Signal Processing, W3K Publishing,2011• Dickreiter, M.: Handbuch der Tontechnik, De Gruyter Saur, 2013

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 1.

Master, 1-Subject, Digital Communications, (Version 2015) Optional 1.

Master, 1-Subject, Digital Communications, (Version 2010) Optional 1.

Master, 1-Subject, Electrical Engineering and Information Tech-nology, (Version 2015)

Optional 1.

Master, 1-Subject, Electrical Engineering and Information Tech-nology, (Version 2010)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 1.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Digital Signal Processing etit-202

Module Coordinator

Prof. Dr.-Ing. Gerhard Schmidt

Organizer

Institute of Electrical Engineering and Information Technology - Digital Signal Processing and SystemTheory

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Signals and Systems I and II (Modules etit-104 and etit-108)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Digital Signal Processing Compulsory 2

Exercise Digital Signal Processing Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Oral Examination: Digital Signal Processing Oral Examination Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

• Introduction to techniques for digital processing of analogue signals• Spectra: Definitions, folding and folding sets, linear and cyclical folding of outputs, common repre-

sentation of finite and cyclical outputs, transformation of linear into cyclical folding;• Fast DFT calculation: Fast Fourier transform, radix-2 decimation-in-time FFT, alternatives, bit rever-

sal, inverse FFT, transformation of real outputs, "FFT pruning", "zoom FFT", spectral analysis of infi-nitely long signals with DFT/FFT, signal windowing, stochastic signals, periodogram and correlation;

• Digital filters: Descriptions, equivalent realisations, transformation to diagonal form;• Technical implementation: Input, numerical and coefficient errors, low-cost implementation;• Filter types: Recursive filters (IIR filters); non-recursive filters (FIR filters), linear phase filters, half-

band filters, structures; filter design, filter banks

Learning Outcome

Students can implement efficient (computing power and/or memory optimised) and robust (fault-tolerant)realisations of signal processing structures. They can also analyse and estimate the effects of measuresrequired for real-world implementation (e.g. the restructuring of sub-functions to increase computational effi-ciency).

Reading List

• J. G. Proakis, D. G. Manolakis: Digital Signal Processing: Principles, Algorithms, and Applications,Prentice Hall, 1996, 3. Auflage

• S. K. Mitra: Digital Signal Processing: A Computer-Based Approach, McGraw Hill Higher Education,2000, 2. Auflage

• V. Oppenheim, R. W. Schafer: Discrete-time signal processing, Prentice Hall, 1999, 2. Auflage• M. H. Hayes: Statistical Signal Processing and Modeling, John Wiley and Sons, 1996

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Electromagnetic Compatibility etit-206

Module Coordinator

Prof. Dr.-Ing. Ludger Klinkenbusch

Organizer

Institute of Electrical Engineering and Information Technology - Computational Electromagnetics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Fundamentals of Electrical Engineering I - III (Modules etit-101, etit-102 and etit-103)• Electromagnetic Fields I (Module etit-106)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Electromagnetic Compatibility Compulsory 2

Exercise Electromagnetic Compatibility Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Oral Examination: Electromagnetic Compa-tibility

Oral Examination Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Introduction: Terms and definitions, modelling, coupling types, classification of EMC problems Shields and filters: Shielding against electrostatic and magnetostatic fields, in the case of alternatingmagnetic fields as well as electromagnetic waves, the treatment of shield openings, frequency-selective fil-ters, potential separators and voltage limiters, cable shielding EMC measurement technology: Measurement of voltages and currents emitted, measurement of electroma-gnetic fields emitted, antennae for EMC measurement purposes, susceptibility measurement with line andradiation-linked interferences EMC of a system: Phases of the EMC planning, modelling, a systematic approach to complex systems Electromagnetic environmental compatibility - EMEC: Problem formulation, physiological effect, limits

Learning Outcome

Every electrical device placed on the market in the European Union must be "electromagnetically compati-ble". This means that it may not affect other devices or the environment in an impermissible manner. On theother hand, it must also still function properly in an environment which is electromagnetically "contaminated"to a defined extent. The increasing importance of EMC problems is mainly due to the rapid developmentof devices in electronics and telecommunications, and aside from this, there have been intensive discus-sions in society in recent years about the possible influence of electro-technical products on the non-tech-nical environment. Engineers trained in the field should be able to identify possible EMC problems, applymethods for solving such problems, and develop them where required.

Reading List

• A. J. Schwab: Elektromagnetische Verträglichkeit, Springer, 1991• K.H. Gonschorek, H. Singer (Hrsg.): Elektromagnetische Verträglicheit, Teubner, 1992• F.M. Tesche, M.V. Ianoz, T. Karlsson: EMC Analysis Methods and Computational Methods, Wiley.

1997• C.R. Paul: Introduction to Electromagnetic Compatibility, Wiley, 1992.• http://www.emf-portal.org,

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Principles of Channel Coding etit-201

Module Coordinator

Prof. Dr.-Ing. Peter A. Höher

Organizer

Institute of Electrical Engineering and Information Technology - Information and Coding Theory

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Mathematics for Engineering Sciences I – III (Modules MIng-1, MIng-2 and MIng-3)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Principles of Channel Coding Compulsory 2

Exercise Principles of Channel Coding Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Principles ofChannel Coding

Written or OralExamination

Graded Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Course Content

Basic concepts of channel coding:Tasks and application examples of channel coding Block codes:Systematic, linear and cyclical block codes, hard-decision and soft-decision decoding, decoding principles,error probability before and after the decoding Convolutional codes:Shift register representation, state diagram, trellis diagram, the Viterbi algorithm, distance spectrum, recur-sive convolutional encoders, punctured convolutional codes, scheduled convolutional codes Turbo codes:Bahl-Cocke-Jelinek-Raviv algorithm, serial code concatenation, parallel code concatenation, log like-lihood-ratio test, interleaving, iterative decoding

Learning Outcome

The students are able to identify and explain the basic concepts of channel coding. They know the basicprocedures to protect data against transmission errors. The students are able to design coding and deco-ding procedures.

Reading List

• Bossert, M.: Kanalcodierung, Stuttgart: Teubner, 2. Auflage 1998.• Friedrich, B.: Kanalcodierung, Berlin: Springer, 1995.• Höher, P.A.: Grundlagen der digitalen Informationsübertragung, Springer-Vieweg Verlag, 2. Aufl.,

2013.• Schneider-Obermann, H., Kanalcodierung, Wiesbaden: Vieweg, 1998.

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Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 5.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 5.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Electrical Power Devices etit-209

Module Coordinator

Prof. Dr.-Ing. Holger Kapels

Organizer

Institute of Electrical Engineering and Information Technology - Electrical Power Devices

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Electrical Power Devices Compulsory 2

Exercise Electrical Power Devices Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: ElectricalPower Devices

Written or OralExamination

Graded Compulsory -

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Course Content

• Semiconductor physical fundamentals, PN junction• Power diodes• Power transistors (power MOSFETs, superjunction MOSFETs, IGBTs (including RB-IGBTs, RC-

IGBTs))• Thyristors (GTOs, IGCTs) Wide-bandgap power semiconductors (SiC diodes, JFETs, MOSFETs),

GaN (normally-on and normally-off HEMTs)• Control and thermal design

Learning Outcome

The students are able to identify the most important modern power semiconductor devices. They canexplain the structure, functional method as well as the characteristics and limits of the devices. The studentsare able to explain individual power semiconductors, and understand important dimensioning rules. The stu-dents have the ability to solve typical problems related to the design of power semiconductor devices. Theycan classify the devices correctly, according to their area of application.

Reading List

• Lutz, J.: Halbleiter-Leistungsbauelemente, Springer Vieweg, 2012• Lutz, J., Schlangenotto, H., Scheuermann, U., De Doncker, R.: Semiconductor Power Devices, Sprin-

ger, 2018• Baliga, B.J.: Fundamentals of Power Semiconductor Devices, Springer, 2018

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

High Frequency Measurements etit-205

Module Coordinator

Dr.-Ing. Frank Daschner

Organizer

Institute of Electrical Engineering and Information Technology - Microwave Engineering

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Microwave Engineering I (Module etit-118)• Microwave Engineering II (Module etit-119)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture High Frequency Measurements Compulsory 2

Exercise High Frequency Measurements Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: High Fre-quency Measurements

Written or OralExamination

Graded Compulsory -

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Course Content

• Detectors• Mixers• Scalar four-terminal sensing• Vectorial network analysers• Frequency measurement• Spectrum analysers• Time domain measurements

Learning Outcome

The students are familiar with the common measurement tasks related to high-frequency technology. Theyknow how the measuring procedures operate, and can explain them.The students are familiar with the measuring instruments used in high-frequency technology. For a givenmeasurement problem, they can select, assemble and use suitable measuring instruments.The students are able to assess the measuring accuracy for a given set of measurement parameters.

Reading List

• F. Daschner: Vorlesungsumdruck Hochfrequenz-Messtechnik, CAU Kiel, 2016.• B. Schiek: Messsysteme der Hochfrequenztechnik, Hüthig, Heidelberg, 1984.• C. Rauscher: Grundlagen der Spektrumanalyse, Rohde und Schwarz, München, 2007.• M. Hiebel: Grundlagen der vektoriellen Netzwerkanalyse, Rohde und Schwarz, München, 2006.

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Model-based Identification and Estimation etit-214

Module Coordinator

Dr.-Ing. Alexander Schaum

Organizer

Institute of Electrical Engineering and Information Technology - Automatic Control

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language English

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Signals and Systems I (Module etit-104)• Mathematics for Engineering Sciences I – III (Modules MIng-1, MIng-2 and MIng-3)• Linear Control (Module etit-109)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Model-based Identification and Estimation Compulsory 2

Exercise Model-based Identification and Estimation Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Oral Examination: Model-based Identifica-tion and Estimation

Oral Examination Graded Compulsory -

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Course Content

This module provides an introduction to the fundamental concepts used in model-based data analysis forsystem monitoring, prediction and control purposes. In particular, the following contents are covered:

• Introduction to fundamental concepts for system identification and state estimation• State-space approaches for system identification• Analysis of observability and detectability of linear state-space models• Design of linear observers and optimal state estimators (Kalman-Bucy and Kalman Filters)

Learning Outcome

Students can explain the fundamental concepts of system identification and estimation, and their import-ance in the context of system monitoring and control. They are able to use the basic approaches to systemidentification using continuous and discrete-time state-space models in a deterministic and stochastic fra-mework, in combination with least squares or maximum likelihood techniques. The students are able todesign and evaluate system models together with linear observers or Kalman filters, for use in data analysisand state estimation.

Reading List

• K. J. Keesman, System Identification: An introduction, Springer-Verlag, London, 2011• A. Gelb, Applied Optimal Estimation, MIT Press, 2001• T. Kailath, Linear Systems, Prentice-Hall, 1980• O. Loffeld, Estimationstheorie 1 und 2, Oldenburg Verlag, 1990.

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Optical Communications etit-513

Module Coordinator

Prof. Dr.-Ing. Stephan Pachnicke

Organizer

Institute of Electrical Engineering and Information Technology - Communications

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One Semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Further Information on the Teaching Language

The language of instruction is English. This module is suitable for students with English language skillsaccording to the Common European Framework (CEF) level B2.

Entry Requirements as Stated in the Examination Regulations

This module is suitable as technical optional module in the bachelor’s degree programmes „Electrical Engi-neering and Information Technology“ and „Electrical Engineering, Information Technology and BusinessManagement“.

Recommended Requirements

• Nachrichtenübertragung (module etit-114)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Optical Communications Compulsory 2

Exercise Optical Communications Compulsory 1

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Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Optical Communicati-ons

Written Examina-tion

Graded Compulsory -

Further Information on the Examination(s)

Further information on the examinations offered by the Institute of Electrical Engineering and InformationTechnology (EE&IT) can be found on the website of the Examination Office EE&IT.

Course Content

General Survey: Optical communications systems and important applications in telecommunications. Optical Transmission Channel: Fibre loss and dispersion, optical signals in single mode fibre, types of sin-gle mode fibre for communication, system model of single mode fibre, polarization and polarization modedispersion, nonlinearity of fibre transmission and numerical solutions, impact on digital signal transmissionsplit step Fourier method, propagation modes in fibres, characteristics of multimode fibre. Optical Transmitters: Characterization of semiconductor lasers, materials, energy-band diagram, guidanceof laserbeam, 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-frequencyresponse. Optical Modulators: External modulators, electro-absorption-modulator (EAM), Mach-Zehnder-modulators(MZM) for digital QAM-modulation, MZM model and characteristics. Optical Receivers: block diagram and model, Photodiodes, noise performance, clock and data recovery. Optical Amplifiers: principle, main characteristics, noise performance. Optical Filters: Applications, Fibre Bragg grating as filter, delay line filters, transfer functions. Optical Transmission Systems: System design, modulation formats, Examples for typical applications

Learning Outcome

Fibre optic communications is the fundamental transmission technology in our today’s internet traffic basedcommunication networks from fast fibre to the home to submarine trans-oceanic links. The module teachesfundamentals of optical communications and the required optical and electronic components as well as theoptical communication channel based on a system oriented view. It familiarizes the students with modernprinciples of optical communications technology.

Reading List

• I.P. Kaminow, Tingye Li, A.E.Willner: “Optical Fiber Telecommunications VA, VB“, Academic Press,San Diego, 2008.

• G. Keiser: “Optical Fiber Communications“, 3rd edition, McGraw-Hill, Boston, 2000• E. Voges, K. Petermann: “Optische Kommunikationstechnik“, Springer, Berlin, 2002.• M. Seimetz: “High-Order Modulation for Optical Fiber Transmission”. Springer Series in Optical

Sciences, 2009

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Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 2.

Master, 1-Subject, Digital Communications, (Version 2015) Compulsory 2.

Master, 1-Subject, Digital Communications, (Version 2010) Compulsory 2.

Master, 1-Subject, Electrical Engineering and Information Tech-nology, (Version 2015)

Optional 2.

Master, 1-Subject, Electrical Engineering and Information Tech-nology, (Version 2010)

Optional 2.

Master, 1-Subject, Mathematics, (Version 2017) Optional 2.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 2.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 2.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 2.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 2.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Fundamentals for the Fabrication of Electronic Devices etit-612

Module Coordinator

Prof. Dr. Hermann Kohlstedt

Organizer

Institute of Electrical Engineering and Information Technology - Nano Electronics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration ein Semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 Stunden

Total Workload 120 Stunden

Contact Time 45 Stunden

Independent Study 75 Stunden

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

Dieses Modul kann in den Bachelorstudiengängen „Elektrotechnik und Informationstechnik” und „Wirtschaft-singenieurwesen ET&IT” als technisches Wahlpflichtmodul belegt werden.

Recommended Requirements

• Elektronik (Module etit-105)• Mathematik für Ingenieure I-III (Module MIng-1, MIng-2 und MIng-3)• Grundlagen der Materialwissenschaft (Modul mawi-E007)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Fundamentals for the Fabrication of Electronic Devi-ces

Compulsory 2

Exercise Fundamentals for the Fabrication of Electronic Devi-ces

Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Fundamentalsfor the Fabrication of Electronic Devices

Written or OralExamination

Graded Compulsory -

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Course Content

• Depositionstechniken (Sputtern, Aufdampfen, MOCVD, ALD, gepulste Laser-Deposition )PLD),Langmuir-Blodgett)

• Grundlagen des Schichtwachstums• Nass- und Trockenätzen• Lithographie mit Photonen, Elektronen und Ionen• Herstellungsverfahren für CMOS-Schaltungen (Si-Technologie)• Nanoimprint• Bottom-up Ansatz• Techniken der Selbstorganisation

Learning Outcome

• Kenntnisse: Kennenlernen der wichtigsten Verfahren zur Vakuumerzeugung, der Depositions- undÄtztechnik, sowie der Lithographie (optisch, e-beam, focused-ion beam). Kennlernen der wichtigstenProzessschritte in der Halbleitetechnologie und Nanoelektronik.

• Fertigkeiten: Auslegung eines Vakuumsystems, Erlernen welches Depositionsverfahren und welchesÄtzverfahren für welche Anwendung und Materialklassen geeignet sind.

• Kompetenzen: Fähigkeit Verfahrensabläufe richtig einzuordnen sowie ihren Schwierigkeitsgradabschätzen zu können.

Reading List

• Nanotechnology: Vol. 3 und Vol. 4, Wiley-VCH ed. by R. Waser.• Nanoelectronics and Informationtechnology, Wiley-VCH, ed. by R. Waser.• Fundamentals of Microfabrication, CRC Press, Marc Madou

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Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 1.

Master, 1-Subject, Electrical Engineering and Information Tech-nology, (Version 2015)

Optional 1.

Master, 1-Subject, Electrical Engineering and Information Tech-nology, (Version 2010)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 1.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Power System Elements for Smart Grid and Renewable Energy Integration etit-212

Module Coordinator

Prof. Dr.-Ing. Marco Liserre

Organizer

Institute of Electrical Engineering and Information Technology - Power Electronics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German / English

Further Information on the Teaching Language

English (lecture) / German (exercises)

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Electrical Energy Technology (Module etit-107)• Linear Control (Module etit-109)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Power System Elements for Smart Grid and Renewa-ble Energy Integration

Compulsory 2

Exercise Power System Elements for Smart Grid and Renewa-ble Energy Integration

Compulsory 1

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Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Power SystemElements for Smart Grid and RenewableEnergy Integration

Written or OralExamination

Graded Compulsory -

Course Content

Smart grids, i.e. intelligent power grids, are important for increasing the integration of renewable energies.However, optimal management of the transmission and distribution network is required, and the associatedadvanced control of the system. The course focuses on the basics of the power grid and the smart grid concept: Overview of topics:

• The basics of power grids and modelling of the components• Load flow calculation• Active and reactive power control, control of the generating facilities• Distribution networks and HVDC• Economic basics• The electricity market• System security

Learning Outcome

The students have basic knowledge in the area of power grids, smart grids and the electricity market. Theycan analyse the power grid with regard to increasing the integration of renewable energies. The studentsare able to model the electrical components of the power grid, and calculate the system state.

Reading List

• J. Duncan Glover, Mulukutla S. Sarma, Thomas J. Overbye “Power System analysis and design”,Cengage Learning, 2012.

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Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Radar etit-204

Module Coordinator

Dr.-Ing. Frank Daschner

Organizer

Institute of Electrical Engineering and Information Technology - Microwave Engineering

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Microwave Engineering I (Module etit-118)• Microwave Engineering II (Module etit-119)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Radar Compulsory 2

Exercise Radar Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Radar Written or OralExamination

Graded Compulsory -

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Course Content

Principle and types of radar: Radar equation, resolution and measurement accuracy, signal power andnoise, the signal-to-noise ratio required, integration, radar techniques: continuous wave radar, Dopplerradar, FM-CW radar, pulse radar, pulse compression radar

Learning Outcome

The students are familiar with the basics of radar system technology and the technical design of radarsystems. The students are able to calculate the ranges and resolutions of radar systems.They know procedures to increase the signal-to-noise ratio. They know how the main radar techniqueswork, and their areas of application.

Reading List

• Daschner, F.; Höft, M.; Knöchel, R.: Radar, Vorlesungsumdruck, CAU Kiel, 2016.

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Noise in Communication and Measurement Systems etit-628

Module Coordinator

Prof. Dr.-Ing. Michael Höft

Organizer

Institute of Electrical Engineering and Information Technology - Microwave Engineering

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration ein Semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 Stunden

Total Workload 120 Stunden

Contact Time 45 Stunden

Independent Study 75 Stunden

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

Dieses Modul kann in den Bachelorstudiengängen „Elektrotechnik und Informationstechnik” und „Wirtschaft-singenieurwesen ET&IT” als technisches Wahlmodul belegt werden.

Recommended Requirements

• „Grundgebiete der Elektrotechnik I - III“ (Module etit-101, etit-102, etit-103)• „Signale und Systeme I + II“ (Module etit-104 und etit-108)• „Leitungstheorie“ (Modul etit-112) bzw. „Hochfrequenztechnik I“ (Modul etit-118)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Rauschen in Kommunikations- und Messsystemen Compulsory 2

Exercise Rauschen in Kommunikations- und Messsystemen Compulsory 1

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Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Noise in Com-munication and Measurement Systems

Written or OralExamination

Graded Compulsory -

Further Information on the Examination(s)

Weitere Angaben zu den vom Institut für Elektrotechnik und Informationstechnik (ET&IT) angebotenen Prü-fungen sind auf den Internetseiten des Prüfungsamtes ET&IT zu finden.

Course Content

• Thermisches Rauschen• Rauschen von Zweitoren• Spezielle rauschende Zweitore• Schrotrauschen• Oszillatorrauschen

Learning Outcome

Kenntnisse:Qualitatives und quantitatives Verständnis für Rauschphänomene in linearen und nichtlinearen Hochfre-quenzschaltungen. Fertigkeiten:Rauschanalysen und -messungen von einfachen Schaltungen bzw. Komponenten durchführen. Kompetenzen:Einfluss von Rauschphänomenen auf die Empfindlichkeit von Kommunikations- und Messsystemenabschätzen können.

Reading List

• B. Schiek, H-J Siweris: Rauschen in Hochfrequenzschaltungen, Hüthig, 1990.• A. Blum, Elektronisches Rauschen, Stuttgart, B. G. Teubner, 1996• H. Bittel, L. Storm: Rauschen. Eine Einführung zum Verständnis elektrischer Schwankungserschei-

nungen, Springer, 1971

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Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 1.

Master, 1-Subject, Electrical Engineering and Information Tech-nology, (Version 2015)

Optional 1.

Master, 1-Subject, Electrical Engineering and Information Tech-nology, (Version 2010)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 1.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 1.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Sensors etit-210

Module Coordinator

Prof. Dr. Hermann Kohlstedt

Organizer

Institute of Electrical Engineering and Information Technology - Nano Electronics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Fundamentals of Electrical Engineering II and III (Modules etit-102 and etit-103)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Sensors Compulsory 2

Exercise Sensors Compulsory 1

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written or Oral Examination: Sensors Written or OralExamination

Graded Compulsory -

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Course Content

• Sensors in nature, examples: The structure and function of the eye and the ear, magnetic field detec-tion in animals, detection of electrical fields in sharks, ultrasound location in bats

• The basics of sensor measurement technology and sensor systems, including signal conditioningand processing, areas of application for sensors.

• Temperature sensors: NTC thermistors and PTC thermistors, the Seebeck effect• Optical sensors: in the ultraviolet, visible and infrared range• Magnetic field sensors: Induction coils, Hall effect sensors, field plates, magnetic MOSFET, magneto-

electrical sensors, flux gates, GMR and TMR sensors, SQUIDs, SERF (spin exchange relaxa-tion-free) sensors

• Sonic and ultrasonic sensors: Piezoelectric sensors, sonic sensors based on optical fibres,• ultrasonic transmitters and receivers in underwater communication• Chemical and biosensors: Bio-MOSFET, gas sensors• Lab-on-a-chip

Comment: The underlying physical effects are always explained for the individual sensors.

Learning Outcome

The students are familiar with the fundamental effects on which the individual sensors are based, and canexplain them. They know the sensitivity limits of the various sensors, and can explain what factors areresponsible for this.The students are able to select the right sensor for a measuring task, depending on the quantity to be mea-sured, sensitivity required, robustness and cost.

Reading List

• Fundamentals of Microfabrication, CRC Press, Marc Madou• Sensorik, W. Heywang, Halbleiterelektronik, Springer-Verlag, 1986• K. Stahl, G. Miosaga, Infrarottechnik, Hüthig-Verlag 1986• Sensoren, H.Schaumburg, B.G. Teubner Verlag, • Sensortechnik, H.-R. Tränkler, E.Obermeier (Hrsg.), Springer Verlag,• Mikrosensorik, Thomas Elbel, Vieweg- Verlag• Sensors, W. Göpel, J. Hesse und J.N. Zemel, VCH• Verlag, Sensoren, G. Schanz, Hüthig-Verlag• Halbleiter-Schaltungstechnik, U. Tietze u. Ch. Schenk, Springer Verlag

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Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

Wireless Communications (DSP) etit-512

Module Coordinator

Prof. Dr.-Ing. Peter A. Höher

Organizer

Institute of Electrical Engineering and Information Technology - Information and Coding Theory

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Graded

Duration One Semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language English

Further Information on the Teaching Language

The language of instruction is English. This module is suitable for students with English language skillsaccording to the Common European Framework (CEF) level B2.

Entry Requirements as Stated in the Examination Regulations

This module is suitable as technical optional module in the bachelor’s degree programmes „Electrical Engi-neering and Information Technology“ and „Electrical Engineering, Information Technology and BusinessManagement“.

Recommended Requirements

-

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Lecture Wireless Communications (DSP) Compulsory 2

Exercise Wireless Communications (DSP) Compulsory 1

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Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Written Examination: Wireless Communica-tions (DSP)

Written Examina-tion

Graded Compulsory -

Further Information on the Examination(s)

Further information on the examinations offered by the Institute of Electrical Engineering and InformationTechnology (EE&IT) can be found on the website of the Examination Office EE&IT.

Course Content

Fundamentals: Wireless radio standards, classification of wireless radio systems, cellularization, uplink unddownlink, multi-user access, frequency bands, software-defined radio conceptChannel modelling: Multipath propagation, AWGN, Rayleigh/Rice fading, WSSUS channel model, equiva-lent discrete-time channel modelDigital modulation schemes: PSK, QAM, CPM, OFDM. Power-bandwidth diagramMultiple access techniques: FDMA, TDMA, CDMA, OFDMAEqualization and channel estimation: MLSE, correlative CEMIMO systems (space-time codes, spatial multiplexing, beamforming)Introduction to GSM, UMTS, LTE, and 5G

Learning Outcome

Knowledge:• Students acquire a basic knowledge about fundamentals in the field of digital radio. Digital radio

systems consist of a software-oriented digital signal processing (DSP) unit as well as a physical-ori-ented transmission unit (antennas, amplifiers, mixers, etc.). This module is devoted to advanced DSPtechniques suitable for wireless communications, called baseband processing, either implementedin software or in dedicated hardware.

Capabilities:• Students learn to understand the basics of wireless communication techniques.

Competencies:• Design of fundamental baseband algorithms.

Reading List

• P.A. Höher, Grundlagen der digitalen Informationsübertragung, Springer-Vieweg Verlag, 2. Aufl.,2013.

• 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.• 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.

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Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 2.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 2.

Master, 1-Subject, Digital Communications, (Version 2015) Compulsory 2.

Master, 1-Subject, Digital Communications, (Version 2010) Compulsory 2.

Master, 1-Subject, Electrical Engineering and Information Tech-nology, (Version 2015)

Optional 2.

Master, 1-Subject, Electrical Engineering and Information Tech-nology, (Version 2010)

Optional 2.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 2.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 2.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 2.

Master, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 2.

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Name Code

Lab Courses and Projects etit

Organizer

Faculty

Faculty of Engineering

Examination Office

ECTS Credits 17

Evaluation Not graded

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory -

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory -

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory -

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Module Name Module Code

Basic Laboratory Electrical Engineering etit-314

Module Coordinator

Dr.-Ing. Michael Meißer

Organizer

Institute of Electrical Engineering and Information Technology

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Not graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 30 hours

Independent Study 90 hours

Teaching Language German

Recommended Requirements

• Mathematics for Engineering Sciences I – III (Modules MIng-1, MIng-2 and MIng-3)• Fundamentals of Electrical Engineering I – III (Modules etit-101, etit-102 and etit-103)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Practical exercise Basic Laboratory Electrical Engineering Compulsory

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Colloquia, Practical Tasks and Protocols:Basic Laboratory Electrical Engineering

Kolloquium Not graded Compulsory -

Further Information on the Examination(s)

Colloquium before the start of each experiment, conduct of the experiment, certificates

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Course Content

During the basic practical course in electrical engineering (GPET), students apply the knowledge gained inthe modules "Fundamentals of Electrical Engineering I - III" (etit-101 - etit-103) in practice. In addition, theyindependently gain further knowledge, to be specifically prepared for the individual experiments. Support isprovided for the students by means of impulse presentations and workshop-like teaching events. The tea-ching contents include:

• Introduction to the documentation of measurement results, representation of measurement results,and writing scientific texts,

• Introduction to presenting scientific findings,• Conducting experiments in different subjects areas of electrical engineering,• Conducting project-orientated experiments,• Group work and project management.

Learning Outcome

The students are able to implement circuit diagrams and construction drawings, and investigate construc-tions using measuring technology. The students are able to graphically represent measurement resultsin context, and discuss them in comparison with theoretical considerations. They can communicate theirresults appropriately and understandably in writing.The students have experience of project work, and are able to tackle tasks successfully in teams. They cansystematically find a solution for a technical problem, and evaluate this. In addition, they are able to developand build measurement systems, as well as to design, manufacture and characterise electrical devices.

Reading List

The experiment instructions and other documents are made available on the OLAT platform to all studentsenrolled in the course.

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 3.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 3.

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Module Name Module Code

Project etit-305

Module Coordinator

Organizer

Institute of Electrical Engineering and Information Technology

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Not graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 semester

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Practical Task, Presentation and WrittenReport: Project

Other Not graded Compulsory -

Course Content

The focus of the project work can be both experimental (e.g. the design and construction of an experimentsetup, carrying out of the experiments and their analysis, and evaluation of the results), as well as theoreti-cal (for example, literature research and comparative assessment of known solution approaches for a newtask, or developing new solution approaches and checking their suitability by means of computer simulati-ons).

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Learning Outcome

The students are familiar with performing scientific work, and can implement this. This includes literatureresearch, project planning, developing and implementing solution approaches, data analysis, interpretationof results, as well as the written and oral presentation of the results, according to scientific standards. Thestudents are able to tackle tasks successfully in teams.

Reading List

Appropriate literature will be provided individually for each project.

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Compulsory 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Compulsory 6.

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Module Name Module Code

Introductory Project Electrical Engineering etit-313

Module Coordinator

Prof. Dr. Martina Gerken

Organizer

Institute of Electrical Engineering and Information Technology - Integrated Systems and Photonics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 1

Evaluation Not graded

Duration One week

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 30 hours

Contact Time 30 hours

Teaching Language German

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Project Introductory Project Electrical Engineering Compulsory

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Demonstration and Colloquium: Introduc-tory Project Electrical Engineering

Kolloquium Not graded Compulsory -

Further Information on the Examination(s)

Demonstration of the functioning metal detector and colloquium

Course Content

In groups of five, metal detectors are constructed, and compared with each other in a sensorchallenge. The construction of the metal detector (eddy current measurement technology) is doneusing plug-in boards, and the control and evaluation with a micro-controller (Arduino). Thecharacterisation is performed with the aid of an oscilloscope. The majority of the time is spent on thepractical group work. The instruction is carried out through lectures, question and answer sessions, aswell as material provided through an online learning portal.

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Learning Outcome

The students have a clearer idea of the engineering profession, and an impression of the necessarystudy contents. They are motivated to hear the lecture material in the first semester, familiar with theFaculty of Engineering, and networked with each other.

Reading List

• Documents are made available on an online learning platform at the start of the project

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Compulsory 1.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Compulsory 1.

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Name Code

Advanced Lab Courses etit

Organizer

Faculty

Faculty of Engineering

Examination Office

ECTS Credits 8

Evaluation Not graded

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Compulsory -

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Compulsory -

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Compulsory -

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

B.Sc. Laboratory: Embedded Signal Processing etit-316

Module Coordinator

Prof. Dr.-Ing. Gerhard Schmidt

Organizer

Institute of Electrical Engineering and Information Technology - Digital Signal Processing and SystemTheory

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Not graded

Duration One semester

Frequency Only takes place during winter semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Computer Science I (2F/NF) (Module Inf-I1-2FNF)• Signals and Systems I (Module etit-104)• Signals and Systems II (Module etit-108)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Practical exercise B.Sc. Laboratory Embedded Signal Processing Compulsory 4

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Practical Tasks: B.Sc. Laboratory Embed-ded Signal Processing

Assignment Not graded Compulsory -

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Course Content

I. Einführung in die verwendete Hardware und die Programmiersprache• Hardware anschließen• Kennenlernen der Programmierumgebung• Ausprobieren von Programmbeispielen• Visualisierung der Zeitsignale

II. Implementierung einer Analysefilterbank

• Anlegen einer Analysefilterbank-Klasse• Deklaration von Funktionen, Parametern und Signalen• Initialisierung der deklarierten Funktionen, Parameter und Signale

III. Implementierung einer Synthesefilterbank

• Anlegen einer Synthesefilterbank-Klasse• Deklaration von Funktionen, Parametern und Signalen• Initialisierung der deklarierten Funktionen, Parameter und Signale• Zusammenspiel der Analyse- und Synthesefilterbank ausprobieren

IV. Implementierung der Faltung (im Zeit- und Frequenzbereich)

• Deklaration von Funktionen, Parametern und Signalen• Initialisierung der deklarierten Funktionen, Parameter und Signale

V. Implementierung der Hochpass- und Bandpassfilterung (im Frequenzbereich) VI. Implementierung der Modulation (im Frequenzbereich) VII. Implementierung von einkanaliger Kommunikation VIII. Einführung in die Geräuschunterdrückung

• Entwurf einer Verarbeitungskette• Anlegen einer Klasse für die Geräuschunterdrückung• Deklaration von Funktionen, Parametern und Signalen

IX. Implementierung der entworfenen Module der Geräuschunterdrückung

• Initialisierung der deklarierten Funktionen, Parameter und Signale X. Implementierung der Kombination von einkanaliger Kommunikation und Geräuschunterdrückung

Learning Outcome

Im Rahmen des Praktikums „Eingebettete Signalverarbeitung“ werden verschiedene Aspekte der digita-len Signalverarbeitung kennengelernt. Im Laufe des Praktikums wird eine komplette digitale Signalverarbei-tungskette implementiert. Studenten werden zum ersten Mal die Ergebnisse der programmiertechnischenUmsetzung der Signalverarbeitungsalgorithmen sehen und hören können. Das Praktikum soll den Studen-ten helfen die Barriere zwischen der Theorie und Praxis zu überwinden. Die Studenten werden damit fürpraktische Aspekte einer wissenschaftlichen Arbeit, als Vorbereitung auf die Bachelorarbeit, sensibilisiert.

Reading List

Literaturliste wird in der Veranstaltung ausgeteilt.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

B.Sc. Laboratory Microwave Engineering etit-307

Module Coordinator

Prof. Dr.-Ing. Michael Höft

Organizer

Institute of Electrical Engineering and Information Technology - Microwave Engineering

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Not graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Microwave Engineering I (Module etit-118)• Microwave Engineering II (Module etit-119)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Practical exercise B.Sc. Laboratory Microwave Engineering Compulsory 3

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Colloquia, Practical Tasks and Protocols:B.Sc. Laboratory Microwave Engineering

Kolloquium Not graded Compulsory -

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Course Content

Experiments: 1. Network description and analysis in high-frequency technology2. HF amplifier with field-effect transistors3. HF circuit design4. Resonators in HF technology5. Matching circuits6. ASH receivers7. Heterodyne receivers8. HF components with HFSS9. Radar systems and antennae

Learning Outcome

The students are familiar with the measuring procedures used in high-frequency technology, and canexplain them. For a given measurement problem, they can select, assemble and use suitablemeasuring instruments.The students are able to characterize and analyse high-frequency technical components andsystems by means of measurements. They can also independently dimension modules with the helpof contemporary design software, and thereafter construct and measure these modules.The students are able to dimension matching circuits, to analyse the non-linear behaviour ofamplifiers using measuring technology, know how important receiver circuits function, and canproduce antenna directional diagrams.

Reading List

• Höft, M.: Leitungstheorie, Vorlesungsumdruck, CAU Kiel, 2015.• Höft, M.: Nichtlineare Schaltungen, Vorlesungsumdruck, CAU Kiel, 2015.• Höft, M.: Hochfrequenztechnik - Antennen, Sender, Emfänger, Vorlesungsumdruck, CAU Kiel, 2015.• Unger, H.-G.: Elektromagnetische Wellen auf Leitungen, Hüthig-Verlag, Heidelberg, 1996.• Unger, H.-G.: Hochfrequenztechnik in Funk und Radar, Teubner, 1994.• Voges, E.: Hochfrequenztechnik, Band 1 und Band 2, Hüthig-Verlag, 1986.

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Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

B.Sc. Laboratory Power Electronics etit-309

Module Coordinator

Prof. Dr.-Ing. Marco Liserre

Organizer

Institute of Electrical Engineering and Information Technology - Power Electronics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Not graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Practical exercise B.Sc. Laboratory Power Electronics Compulsory 3

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Colloquia, Practical Tasks and Protocols:B.Sc. Laboratory Power Electronics

Kolloquium Not graded Compulsory -

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Course Content

Titles of the individual experiments: 1. Measuring instruments and methods of measurement in power electronics2. DC chopper controllers3. Switching power supplies4. Pulse inverters (power section)5. Pulse inverters (drive section)6. Simulation and modelling in power electronics7. Microprocessor controls in power electronics8. Devices in power electronics

Learning Outcome

The students are familiar with power electronics devices, and can explain the control of power electronicsmodules. They have knowledge of the implementation of control strategies with micro-controllers in thehardware. The students are able to implement and validate the control strategies they have learned in labo-ratory experiments.

Reading List

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

B.Sc. Laboratory Micro-Nano-Optosystems etit-311

Module Coordinator

Prof. Dr. Martina GerkenProf. Dr. Hermann Kohlstedt

Organizer

Institute of Electrical Engineering and Information Technology - Integrated Systems and Photonics

Institute of Electrical Engineering and Information Technology - Nano Electronics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Not graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Physics for Electrical Engineering and Information Technology (Modul MNF-phys-Ing)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Practical exercise B.Sc. Laboratory Micro-Nano-Optosystems Compulsory 4

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Practical Tasks and Paper: B.Sc. Labora-tory Micro-Nano-Optosystems

Other Not graded Compulsory -

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Course Content

Titles of the individual experiments:• Statistical foundations of production technology• Micro-mechanical mass flow sensors• Fundamentals of micro-mechanical inertial sensors• Transistor amplifier circuit with feedback• Operational amplifiers• Magnetic tunnel junctions as non-volatile information storage• Switching mechanisms in ferroelectric capacitors• SPICE simulations for gates and memory• Michelson interferometers• Spectroscopy• Lasers• Display technology

Learning Outcome

The students are familiar with the operation of micro, nano and optical systems technology, and can des-cribe this on the basis of experimental set-ups. They can independently process educational material, andorientate themselves in the topics of the individual experiments. In the laboratory, the students can imple-ment practical tasks independently, with a supervisor available for advice. They are able to critically eva-luate results. The students are able to independently present and analyse experimental results in writing.They are able to tackle tasks successfully in teams.

Reading List

Literature is given in the experiment instructions.Furthermore:

• F. Pedrotti, L. Pedrotti, W. Bausch, H. Schmidt: Optik für Ingenieure – Grundlagen.• G. Schröder, H. Treiber: Technische Optik – Grundlagen und Anwendungen.• E. Hering, R. Martin, M. Stohrer: Physik für Ingenieure.

Chair of Nano Electronics:

• Harald Hartl et al., Elektronische Schaltungstechnik Pearson-Studium, ISBN: 978-3-8273-7321-2• 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

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

B.Sc. Laboratory Communications and Information Technology etit-310

Module Coordinator

Prof. Dr.-Ing. Stephan Pachnicke

Organizer

Institute of Electrical Engineering and Information Technology - Communications

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Not graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 30 hours

Independent Study 90 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Communications (Module etit-114)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Practical exercise B.Sc. Laboratory Communications and InformationTechnology

Compulsory 3

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Colloquia and Practical Tasks: B.Sc. Labo-ratory Communications and InformationTechnology

Kolloquium Not graded Compulsory -

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Course Content

Experiment no. 1: Amplitude and frequency modulation (AM/FM)Experiment no. 2: Digital modulationExperiment no. 3: Pulse amplitude and pulse code modulation (PAM/PCM)Experiment no. 4: Channel codingExperiment no. 5: EqualisationExperiment no. 6: Optical measurement technologyExperiment no. 7: Erbium-doped fibre amplifier (EDFA)Experiment no. 8: Phase-locked Loop (PLL)

Learning Outcome

The students can independently process educational material, and orientate themselves in the topics of theindividual experiments. The students are familiar with and can operate the measuring instruments used intelecommunications technology. In the laboratory, the students can implement practical tasks independentlyunder supervision. The students are able to tackle tasks successfully in teams.

Reading List

• Kammeyer, K.-D., Dekorsy, A.: Nachrichtenübertragung; 6. Auflage, Springer Vieweg, Wiesbaden,2018.

• Barry, J. R., Lee, E. A., Messerschmitt, D. G.: Digital Communication; 3rd edition, Springer, NewYork, 2004.

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Module Name Module Code

B.Sc. Laboratory Control and System Dynamics etit-312

Module Coordinator

Prof. Dr.-Ing. habil. Thomas Meurer

Organizer

Institute of Electrical Engineering and Information Technology - Automatic Control

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Not graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Linear Control (Module etit-109)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Practical exercise B.Sc. Laboratory Control and System Dynamics Compulsory 3

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Colloquia, Practical Tasks and Protocols:B.Sc. Laboratory Control and SystemDynamics

Other Not graded Compulsory -

Further Information on the Examination(s)

Initial test, examination of the prepared tasks, experiment elaboration

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Course Content

Experiments on the topics:• Mathematical modelling and system analysis with computer algebra systems• System analysis and numerical simulation with MATLAB/Simulink• Computer-assisted control design for linear systems• Experimental evaluation

Learning Outcome

The students are familiar with the operation and design methods for linear controls and monitors in the fre-quency range and in the state space. They are able to independently derive mathematical models for cer-tain technical processes, and implement and run them using appropriate symbolic and numerical computertools (Maxima, MATLAB/Simulink), and to critically evaluate the results. They can develop computer-assi-sted controls in the frequency range and in the state space, as well as model-based monitors, and evaluateand assess these in simulations. They are familiar with the basics of real-time data processing.The students are familiar with scientific work with literature research, project planning, data analysis, inter-pretation of results, as well as the written and oral presentation of the results, according to scientific stan-dards.

Reading List

• T. Meurer: Regelungstechnik I – Skriptum zur Vorlesung.

Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

Module Name Module Code

B.Sc. Laboratory Simulation of Optical Sensors etit-315

Module Coordinator

Prof. Dr. Martina Gerken

Organizer

Institute of Electrical Engineering and Information Technology - Integrated Systems and Photonics

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Not graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 50 hours

Independent Study 70 hours

Teaching Language German

Further Information on the Teaching Language

German with English literature

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Mathematics for Engineering Sciences I – III (Modules MIng-1, MIng-2 and MIng-3)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Practical exercise B.Sc. Laboratory Simulation of Optical Sensors Compulsory 4

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Colloquia, Practical Tasks, Protocols andPresentation: B.Sc. Laboratory Simulationof Optical Sensors

Other Not graded Compulsory -

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Course Content

The lab course in simulation of optical sensors is a research-based course, which aims to providestudents with the opportunity to gain insights into the current research of optical sensors, for examplering, plasmon and waveguide resonators, and thereby themselves formulate a research question, planthe research, and carry it out in simulation. The lab course is divided into the following three phases: Phase 1: Transfer of knowledge and definition of a research question

• Optical sensors• Simulation with the finite element method (FEM)• MATLAB evaluation• The research cycle

Phase 2: Research using computer simulations• Project work in pairs• Weekly interim discussions

Phase 3: Evaluation, interpretation and presentation of the results

Learning Outcome

The students are familiar with the operation of optical sensors, and can describe this on the basis of models.They can design components by means of numerical simulation with common software using the Finite Ele-ment Method (FEM). They are able to implement and run simulations independently under supervision, andto critically evaluate the results. The students are familiar with performing scientific work with the help of thescientific cycle, and can implement this. This includes literature research, formulation of a question, projectplanning, data analysis, interpretation of results, as well as the written and oral presentation of the results,according to scientific standards.

Reading List

Literature list will be distributed during the course.

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Use Compulsory / Optional

Semester

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering and InformationTechnology, (Version 2010)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2017)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2016)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2015)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2014)

Optional 6.

Bachelor, 1-Subject, Electrical Engineering, Information Techno-logy and Business Management, (Version 2010)

Optional 6.

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Module Name Module Code

B.Sc. Laboratory System Theory etit-306

Module Coordinator

Prof. Dr.-Ing. Gerhard Schmidt

Organizer

Institute of Electrical Engineering and Information Technology - Digital Signal Processing and SystemTheory

Faculty

Faculty of Engineering

Examination Office

Examination Office for Electrical Engineering and Information Technology

ECTS Credits 4

Evaluation Not graded

Duration One semester

Frequency Only takes place during summer semesters

Workload per ECTS Credit 30 hours

Total Workload 120 hours

Contact Time 45 hours

Independent Study 75 hours

Teaching Language German

Entry Requirements as Stated in the Examination Regulations

• Fundamentals of Electrical Engineering I (Module etit-101)• Basic Laboratory Electrical Engineering (Module etit-314)

Recommended Requirements

• Signals and Systems I (Module etit-104)• Signals and Systems II (Module etit-108)

Module Courses

Course Type Course Name Compul-sory/Optional

SWS

Practical exercise B.Sc. Laboratory System Theory Compulsory 3

Examination(s)

Examination Name Type of Examination

Evaluation Compulsory / Optional

Weighting

Colloquia and Practical Tasks: B.Sc. Labo-ratory System Theory

Kolloquium Not graded Compulsory -

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Course Content

1. Preliminary discussion, material issue, clarification of the process and the preparations2. Introduction to MATLAB3. Continuous periodic and non-periodic signals: Continuous Fourier transform and Fourier series, spectra of

selected signals, band-limited jumps, the Gibbs phenomenon4. Discrete time periodic and non-periodic signals: Spectra of discrete time signals, signal sampling and

signal reconstruction, sampling theorem5. Discrete Fourier transform (DFT): Time-limited and band-limited signals, not time-limited and band-limited

signals, aliasing, DFT and periodic signals, leakage effect, windowing6. Linear, displacement invariant systems: Pole-zero diagrams, frequency response, time response, linear-

phase, minimum-phase and all-pass systems7. Discrete time simulation of continuous systems: Stimulus-invariant transformation, bilinear transformation,

spectral overlaps, reactions to broadband and narrowband signals8. Stochastic signals: Distribution and distribution density function, stationary and ergodic stochastic proces-

ses, auto-correlation function and power density spectrum9. Response of linear systems to stochastic signals: System influence on linear mean, variance, auto-cor-

relation and power density spectrum, influence of linear systems on the distribution density of stochasticprocesses, system identification with random sequences

10.State space representation of systems: Canonical structures, signal-flow graphs, controllability and obser-vability

Learning Outcome

The students can independently process educational material, and orientate themselves in the topics of theindividual experiments. They can use MATLAB as a tool for working with signals, spectra and systems. Inthe laboratory, the students can implement practical tasks independently under supervision. The studentsare able to tackle tasks successfully in teams.

Reading List

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Electrical Engineering and Information Technology, Bachelor, 1-Subject, Version 2017

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