Course Descriptions-CIT IAE

8/20/2019 Course Descriptions-CIT IAE

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Akkreditierung der Masterstudiengänge der

Elektrotechnik

Modulbeschreibungen

Description of the Courses in CIT/IAE Master

studies

Version from 1!"!#$1%


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Table of Contents

Advanced Control Lab............................................................................................................4

Advanced Topics in Digital Communications........................................................................5

Antennas.................................................................................................................................7

Information and Communication Tecnolog! Laborator! I .................................................."

Information and Communication Tecnolog! Laborator! II ..............................................1#

C$$ %asics and Application in Tecnical &!stems..............................................................11

Cannel Coding I..................................................................................................................1'

Cannel Coding II.................................................................................................................15

Communication (et)or*s+ &!stems ,formerl! Communication (et)or*s I-.....................17

Communication (et)or*s+ Teor! ,formerl! Communication (et)or*s II-......................1"

Communication Tecnologies .............................................................................................2#

ireless Communication Tecnologies ..............................................................................21

Control Teor! I...................................................................................................................22

Control Teor! II..................................................................................................................24

Control Teor! III.................................................................................................................25

Digital &ignal /rocessing......................................................................................................20

Advanced Digital &ignal /rocessing ....................................................................................27

D!namic &!stems I...............................................................................................................2

D!namic &!stems II..............................................................................................................2"

lectrod!namics....................................................................................................................'1

3erman language course 1 and 2 .........................................................................................'2

u!6(eural &!stems in odeling8 /rediction and &ignal /rocessing ..............................''

aster &eminar 1 .................................................................................................................'5

aster &eminar 2 .................................................................................................................'0

aster Tesis .......................................................................................................................'7

icrofluidic Devices............................................................................................................'

icros!stems .......................................................................................................................'"

icro Tecnolog!.................................................................................................................4#

(e9t 3eneration Cellular (et)or*s .....................................................................................41

(e) &tandards for ireless Local Area (et)or*s..............................................................4'

/rocess Automation I............................................................................................................45

/rocess Automation II...........................................................................................................40

/rocess Automation Laborator!...........................................................................................4/ro:ect ..................................................................................................................................4"

;eal6Time &oft)are Design 1 < 2........................................................................................5#


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; rontend Devices and Circuits........................................................................................52

;obot D!namics < &imulation.............................................................................................5'

;obotics I..............................................................................................................................55

;obotics II ............................................................................................................................57

&eminar &oft6;obotics..........................................................................................................5"

&ensors and easurement &!stems......................................................................................0#

&peec and Audio &ignal /rocessing....................................................................................01

&tocastic &imulation of Data (et)or*s and Teir /rotocols..............................................02

&!stem Teor!......................................................................................................................0'


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Ad&anced Control 'ab

;esponsible+ /rof. Dr.6Ing. =ai icelsLecturer+ /rof. Dr.6Ing. =ai icels

Aim(

Te students sall get e9perience )it te design and practical application of comple9controllers. )rere*uisite( Lecture >Control Teor! I?

Content(

1. Crane+ odelling8 anal!sis8 and state space control ,pole placement metod- of a crane2. Inverted pendulum I+ &)inging up of an inverted pendulum using different metods'. Inverted pendulum II+ odelling8 anal!sis8 and state space control ,pole placement

metod- for te stabiliation of an inverted pendulum4. @elicopter+ odelling8 anal!sis8 and state space control ,;iccati metod- of aelicopter model5. Identification and control )it an industrial plant control s!stem

'iterature(

icels8 =.+ &cript >Control ngineering? ,3erman and nglis-&cripts for eac e9periment in 3erman and nglis

Methods( 3roups up to 5 students. &ort e9amination of te preparation beforete e9periment. All e9periments use ATLA%&imulin*.

Efficienc+ ,tatement( Te preparation and te ans)ers of te preparation Buestions ave to be done carefull!8 te! )ill be cec*ed b! te tutors. itout preparation8 ta*ing part in te lab is not possible. After eac lab8 a protocol as to be )ritten and given to te tutors. Tis protocol )illalso be cec*ed.

(umber of e9periments+ 5

Information-

Do.nloads( ttps+elearning.uni6bremen.de

ECT, Credits( 2,,( 2

orkload( 0# ours,uggested for( IA 2nd term ,compulsor! course-8 can also be done in 4t term

https://elearning.uni-bremen.de/https://elearning.uni-bremen.de/


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Ad&anced Topics in Digital Communications

0esponsible( Dr. Carsten %oc*elmann'ecturer( Dr. Carsten %oc*elmann

Aim(

Advanced Topics in Digital Communications is a one semester elective course for masterstudents. Te aim of tis course is to close te gap bet)een topics taugt in basic courses andte reBuirements for master teses in te area of digital communications. Terefore8 tecourse covers selected current researc topics tat are presented in an illustrative form.&upervised e9ercises )it atlab programming sould enable students to get familiar )itte simulation of digital communication s!stems8 te application of certain algoritms8 etc.After tis course8 !ou sould be able to+ build a simulation model of a digital communication s!stem implementation of multi6user detection tecniBues in CDA or &DA s!stems

anal!e te performance of communication s!stems b! simulations

)rere*uisite( Communications Tecnolog! I$II8 Cannel Coding I$II

Content(

6 Contents8 rganisation6 &tructure of digital communication s!stem

6 obile radio cannel6 &!stems )it multiple inputs and

outputs6 Information Teor!6 &ingle6input single6output fading

cannels

6 ultiple6input multiple6output cannels6 ultiuser detection in CDA6 ultiple antenna s!stems6 Diversit! concepts

6 &pace division multiple access

'iterature(

E. =Fn+ ireless communications over I Cannels+ Applications to CDA andultiple Antenna &!stems.

D. Tse8 /. Eis)anat+ undamentals of ireless Communication

A. /aulra:8 ;. (abar8 D. 3ore+ Introduction to &pace6Time ireless Communications

. %iglieri8 ;. Calderban*8 A. Constantinides8 A.3oldsmit+ I irelessCommunications

Methods( Lectures8 e9ercises )it atlab

Efficienc+ ,tatement( ral e9amination

Information-

Do.nloads( ttp+))).ant.uni6bremen.deencoursesatdc

ECT, Credits( 4


6/63

0

,,( '

orkload( 12# oursLectures and courses 'GLecture8 ome)or* and preparation of e9am 02G

,uggested for( CIT and IA 2nd or 'rd term8 ,elective course-8 Diplom 2.&tudienabscnitt8 aster TIT


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Antennas

0esponsible( /rof. Dr.6Ing. artin &cneider 'ecturer( /rof. Dr.6Ing. artin &cneider

Aim(

Te students )ill learn te fundamentals of antennas and teir calculation. %asic teoretical part is te introduction of electrod!namic vector potentials tat give te electromagnetic fieldsgenerated b! rapidl! var!ing electric currents. irst8 fundamental insigt in antennas )ill begiven b! te anal!sis of te @ertian dipole and te small loop antenna. ain terms anddefinitions are introduced+ directivit!8 gain8 efficienc!8 alf po)er beam)idt8 pat loss8 andeBuivalentl! radiated isotropic po)er ,I;/-. Ten different antennas are calculated+ linearantennas li*e te alf6)ave dipole8 arra! antennas8 and aperture antennas li*e orn antennas8slot antennas and reflector antennas. Also lens antennas and microstrip patc antennas arediscussed.

After tis course8 te students sould be able• to e9plain te )or*ing principle of antennas

• to decide )ic *ind of antennas suits a certain application at a certain freBuenc!

• to appl! te metod of electrod!namic potentials for solving antenna problems

• to e9plain and to appl! te metod of eBuivalent sources for calculating apertureantennas

)rere*uisite( lectrod!namics

Content(

6 undamentals of antennas6 lectrod!namic /otentials6 etod of eBuivalent sources and @u!gensH principle6 Calculation of linear antennas6 Calculation of arra! antennas6 Calculation of aperture antennas6 Calculation of microstrip patc antennas

'iterature(

Lecture script and lecture slides.

%alanis8 C. A.8?Antenna Teor!8 Jon ile! < &ons8 'rd dition8 2##5.

=raus8 J. D.8 ?Antennas or All Applications8 c3ra)6@ill8 'rd dition8 2##2.

Methods( 2 lecture8 1 e9ercises and tutorial

Efficienc+ ,tatement( )ritten e9amination

Information-

Do.nloads( ttp+))).f.uni6bremen.de

ECT, Credits( 4


8/63

,,( '


,uggested for( CIT 2nd term ,compulsor! course-8Diplom 2. &tudienabscnitt8 aster TIT


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Information and Communication Technolog+ 'aborator+ I

0esponsible( /rof. Dr.6Ing. A. De*ors!8 /rof. Dr. C. 3Krg8/rof. Dr.6Ing. . &cneider

'ecturer( /rof. Dr.6Ing. A. De*ors!8 /rof. Dr. C. 3Krg8/rof. Dr.6Ing. . &cneider

Aim(

Te laborator! course ?Information and Communication Tecnolog! Laborator! I? is meantto provide te ands6on e9perience for te topics of te lectures offered by the Institute ofTelecommunications and High Frequency Techniques. Te module allo)s students to acBuirete *no)ledge concerning te practical application of communication tecnolog! metods.

)rere*uisite( (o formal preconditions. it regard to contents of te e9periments testudents are supposed to attend or ave attended te follo)ing lectures+

• lectrod!namics• Communication Tecnologies• ireless Communications• Communication (et)or*s• ; rontend Devices and Circuits

Content(

0 laborator! e9periments are offered. p to four students can form a group and perform telaborator! e9periments togeter. CIT students ave to select tree out of te si9 e9perimentsfor ' credit points8 and at least one from eac of te tree institute labs. or 0 credit points all

0 e9periments ave to be performed ,onl! for aster TIT8 not CIT-.

'iterature( J. /roa*is+ Digital CommunicationsM D. Tse8 /. Eis)anat+ undamentals ofireless CommunicationsM A. /aulra:8 ;. (abar8 D. 3ore+ Introduction to &pace6Timeireless CommunicationsM A. 3oldsmit+ ireless CommunicationsM D. /oar+ icro)avengineeringM C.A. %alanis+ Antenna Teor!

Methods( 3roups of up to 4 students. anuscripts are provided in nglis.&ort e9amination of te preparation before te e9periment.

Efficienc+ ,tatement(

Te preparation Buestions to te e9periment ave to be ans)ered in and6)ritten form8reBuired for eac member of te group and presented at te beginning of eac individual labe9periment. ter)ise ta*ing part in te lab e9periment is not possible. @and6)ritten

protocols of te lab e9periments ave to be done during te lab.

Information- Do.nloads(

))).ant.uni6bremen.deencourses M ))).comnets.uni6bremen.de M ))).f.uni6bremen.de

ECT, Credits( ' ,0-,,( 2 ,4-orkload( "# ,1#- ours

,uggested for( CIT 2nd term ,compulsor! course-8 Diplom 2. &tudienabscnitt8aster TIT

http://www.ant.uni-bremen.de/en/courses/http://www.comnets.uni-bremen.de/http://www.hf.uni-bremen.de/http://www.ant.uni-bremen.de/en/courses/http://www.comnets.uni-bremen.de/http://www.hf.uni-bremen.de/


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Information and Communication Technolog+ 'aborator+ II

0esponsible( /rof. Dr.6Ing. A. De*ors!8 /rof. Dr. C. 3Krg8/rof. Dr.6Ing. . &cneider

'ecturer( /rof. Dr.6Ing. A. De*ors!8 /rof. Dr. C. 3Krg8

/rof. Dr.6Ing. . &cneider

Aim(

Te laborator! course ?Communications Tecnolog! Laborator! I? is meant to provide teands6on e9perience for te topics of te lectures offered by the Institute ofTelecommunications and High Frequency Techniques. Te module allo)s students to acBuirete *no)ledge concerning te practical application of communication tecnolog! metods.

)rere*uisite( (o formal preconditions. it regard to contents of te e9periments testudents are supposed to attend or ave attended te follo)ing lectures+

• lectrod!namics• Communication Tecnologies• ireless Communications• Communication (et)or*s• ; rontend Devices and Circuits

Content(

0 laborator! e9periments are offered. p to four students can form a group and perform telaborator! e9periment togeter. CIT students ave to select tree out of te si9 e9perimentsfor ' credit points8 and at least one from eac of te tree institute labs. or 0 credit points all0 e9periments ave to be performed ,onl! for aster TIT8 not CIT-.

'iterature(

J. /roa*is+ Digital CommunicationsM D. Tse8 /. Eis)anat+ undamentals of irelessCommunicationsM A. /aulra:8 ;. (abar8 D. 3ore+ Introduction to &pace6Time irelessCommunicationsM A. 3oldsmit+ ireless CommunicationsM D. /oar+ icro)avengineeringM C.A. %alanis+ Antenna Teor!

Methods( 3roups of up to 4 students. anuscripts are provided in nglis.&ort e9amination of te preparation before te e9periment.

Efficienc+ ,tatement(

Te preparation Buestions to te e9periment ave to be ans)ered in and6)ritten form8reBuired for eac member of te group and presented at te beginning of eac individual labe9periment. ter)ise ta*ing part in te lab e9periment is not possible. @and6)ritten

protocols of te lab e9periments ave to be done during te lab.


))).ant.uni6bremen.deencourses M ))).comnets.uni6bremen.de M ))).f.uni6bremen.de

ECT, Credits( ' ,0-,,( 2 ,4-orkload( "# ,1#- ours

,uggested for( CIT 'rd term ,compulsor! course-8 Diplom 2. &tudienabscnitt8aster TIT

http://www.ant.uni-bremen.de/en/courses/http://www.comnets.uni-bremen.de/http://www.hf.uni-bremen.de/http://www.ant.uni-bremen.de/en/courses/http://www.comnets.uni-bremen.de/http://www.hf.uni-bremen.de/


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C 2asics and Application in Technical ,+stems

0esponsible( /rof. Dr. A9el 3rNser 'ecturer( (.(.

Aim(

In te conte9t of tis lecture te basics of te programming language C$$ for )ritingtecnicall! oriented programs are obtained. mpasis of te lecture lies in soft)areengineering principles necessar! for developing comple9 tecnical soft)are s!stems8 li*e inte fields of image processing8 service robotics8 virtual and augmented realit! or automationapplications in general.

)rere*uisite( Due to limited capacities te registration for tis lecture is mandator!. Tisas to be done via ttp+))).elearning.uni6bremen.de. All registrations be!ond capacit! )ill

be moved to te )aiting list for ne9t !earHs lecture. Te final list of participants )ill be publised in advance of te lectureOs first appointment.

Content(

Teoretical part+6 %asic elements6 unctional and modular design6 b:ect oriented design6 &oft)are engineering principles

/ractical part+26' participants )ill solve a soft)are problem )itin te field of image processing8 service

robotics or virtual and augmented realit!. Te! ave to anal!se te given problem b! meansof te taugt soft)are engineering principles8 design teir soft)are in an ob:ect oriented st!leand implement it )it C$$ after)ards.

'iterature(

c*el88 %ruce+ Tin*ing in C$$+ Introduction to &tandard C$$.8 ttp+mindvie).net + /rentice@all8 2##1. P I&%( "7P#1'"7"#"2.

c*el8 %ruce+ Tin*ing in C$$+ /ractical /rogramming8 ttp+mindvie).net + /rentice @all8

2##'. P I&%( "7P#1'#'5'1'".

@e*mat8 &aram+ C$$ ssentials8 ttp+))).pragsoft.com + /rag&oft Corporation8 2##5.

&troustrup8 %:arne+ Te C$$ /rogramming Language8 Amsterdam + Addison6esle!Longman8 2###. P I&%( "7P#2#17##7'2.

&troustrup8 %:arne+ Die C$$6/rogrammiersprace8 Fncen + Addison6esle!8 2##". PI&%( "7P'27'22'0.

Methods( Lecture8 e9ercises8 pro:ect

Te lecture is split up into a teoretical and practical part. itin te teoretical part te participants )ill be taugt te basics of te programming language C$$ as )ell as te use ofsoft)are engineering principles. Te! deepen teir *no)ledge in practical e9ercises8 )ic

http://mindview.net/http://mindview.net/http://www.pragsoft.com/http://mindview.net/http://mindview.net/http://www.pragsoft.com/


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are accomplised during te lecture and at ome. Te practical part is strongl! influenced b!interdisciplinar! )or*. itin groups of 26' persons te participants )ill solve an opensoft)are problem )itin one of te above mentioned fields.

Efficienc+ ,tatement( final pro:ect and )ritten e9amination. Te final mar* consists of te

mar* for tis e9amination as )ell as of te evaluation of te developed program ,see practical part-. In order to be permitted for te final e9amination eac participant as to )or*successfull! on iser ome e9ercises of at least 5#G per e9ercise.

Information( ttp+))).elearning.uni6bremen.de

ECT, Credits( 4,,( 'orkload( 12# ours

,uggested for( IA 2nd or 'rd term8 ,elective course-8 Diplom 2. &tudienabscnitt

http://www.elearning.uni-bremen.de/http://www.elearning.uni-bremen.de/


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Channel Coding I

0esponsible( Dr. Dir* Fbben'ecturer( Dr. Dir* Fbben

Aim(

Cannel Coding I is a one semester elective course. Te aim is to provide a basicunderstanding o) cannel coding )or*s and to present te most important code families.oreover8 results obtained from information teor! so) te ultimate limits teoreticall!acievable )it optimal codes.After tis course8 !ou sould be able to+ 9plain te principle of cannel coding 9plain te ultimate limits from information teor! /erform encoding and decoding for linear bloc* and convolutional codes

3rade te performance of different codes

)rere*uisite( %asics of communication tecnolog! and digital signal processing

Content(

6 Contents8 rganisation6 &!stem model for digital communications6 ne lesson of information teor!6 Linear bloc* codes

6 3enerator and parit! cec* matri9

6 &tandard arra! and s!ndrome decoding

6 9amples ,&/C8 @amming8 &imple9-6 C!clic Codes ,description b!

pol!nomials-6 9amples ,C;C8 %C@8 ;eed6&olomon-6 Convolutional codes

6 ncoder8 grapical representations6 Eiterbi decoding

'iterature(

(eubauer8 A.8 J. reudenberger8 E. =Fn+ Coding Teor!+ Algoritms8 Arcitectures andApplications.

Lin8 &.8 D. J. Costello8 Jr.+ rror Control Coding+ undamentals and Applications.

oreira8 J. C.8 /.3. arr+ ssentials of rror6Control.

Methods( Lecture8 e9ercises using atlab

Efficienc+ ,tatement( &criftlice /rFfung

Information-

Do.nloads( ttp+))).ant.uni6bremen.deencoursescc1

ECT, Credits( 4

,,( '

orkload( 12# ours


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Lectures and courses 'GLecture8 ome)or* and preparation of e9am 02G

,uggested for( CIT and IA 2nd or 'rd term8 ,elective course-8 Diplom 2.

&tudienabscnitt


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Channel Coding II

0esponsible( Dr. Dir* Fbben'ecturer( Dr. Dir* Fbben

Aim(

Cannel Coding II is a one semester elective course tat reBuires te basics taugt in CannelCoding I. Te focus of tis course is on sopisticated cannel coding approaces for specificapplications8 i.e. transmitting ig data rates over bandlimited cannels. oreover8 te coursecovers topics li*e concatenated codes tat are part of actual researc )or* and tus importantfor subseBuent master teses.After tis course8 !ou sould be able to+ 9plain te principle of coded modulation and possible realiations 9plain te concept of code concatenation and iterative turbo decoding

9plain te principle of adaptive error control scemes and te difference to for)ard errorcorrection

)rere*uisite( Communications Tecnologies8 ireless Communications 8 Cannel Coding I

Content(

6 Contents8 rganisation6 Coded odulation

6 ngerbKc*Hs approac6 /ragmatic approac b! Eiterbi

6 ultilevel Codes6 Concatenated codes6 &erial and parallel concatenation6 Anal!sis of distance properties

6 L6Algebra6 &oft6output decoding6 9amples ,/roduct Codes8 Turbo

Codes-

6 Adaptive rror Control6 %asic A;Q strategies6 @!brid scemes ,A;Q $ C-

'iterature(

(eubauer8 A.8 J. reudenberger8 E. =Fn+ Coding Teor!+ Algoritms8 Arcitectures andApplications.

Lin8 &.8 D. J. Costello8 Jr.+ rror Control Coding+ undamentals and Applications.

oreira8 J. C.8 /.3. arr+ ssentials of rror6Control.

Methods( Lecture8 e9ercises

Efficienc+ ,tatement( ritten e9amination

Information-

Do.nloads( ttp+))).ant.uni6bremen.deencoursescc2

ECT, Credits( 4,,( '


16/63

10


,uggested for( CIT and IA 2nd or 'rd term8 ,elective course-8 Diplom 2.&tudienabscnitt


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Communication 3et.orks( ,+stems ,formerl! Communication (et)or*s I-

0esponsible( /rof. Dr. Carmelita 3Krg'ecturer( /rof. Dr. Carmelita 3Krg Dr. Ri Li Dr. Andreas =Knsgen

Aim(

Tis course gives a surve! of metods and s!stems related to communication net)or*s.After tis course8 !ou sould be able to+• Describe e9emplar! s!stems of communication net)or*s

• (ame and e9plain te la!ers of a communication net)or*

• =no) te basic tecnologies used for communication protocols

• =no) basic error andling mecanisms for communication protocols

)rere*uisite( Eordiplom%acelor lectrical ngineering < Information Tecnolog!Eordiplom%acelor Computer &cience

Content(

Te main topics of tis course are+6 Distributed &!stems6 I&&I 7 La!er ;eference odel for

pen Communication6 ormal &pecification etods for

/rotocols ,&DL-

6 Data Lin* La!er 6 (et)or* La!er 6 Transport La!er 6 Application riented La!ers

6 Local Area (et)or*s6 ide Area (et)or*s6 (et)or* Control+

,virtual- connections8 ;outing8Addressing8 lo) Control

6 &!stem 9amples+

o TC/I/o I&D( %6I&D( ATo ireless (et)or*s

6 /erformance Anal!sis

'iterature(

alrand8 J.+ Communication (et)or*s8 A first course8 C%c3ra)6@ill 1""8 I&%( #62506174#46#.

Tanenbaum8 A.&.+ Computer (et)or*s8 /rentice @all 1""08 I&%( #61' '4""4560 ,and ne)ereditions-.

;oss=urose8 Computer (et)or*ing+ A Top Do)n Approac8 4t ed.8 Addison6esle!8 Jul!2##7.

Methods( Lectures and e9ercises )it presentations b! students

Efficienc+ ,tatement( ral 9amination

Information-Do.nloads( Literature is given in te lectures8

/lease also refer to ))).comnets.uni6bremen.de


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orkload( 12# ours


,uggested for( CIT 2nd term8 ,compulsor! course-8 IA 2nd or 'rd term8 ,electivecourse-8 Diplom 2. &tudienabscnitt8


19/63

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Communication 3et.orks( Theor+ ,formerl! Communication (et)or*s II-

0esponsible( /rof. Dr. Carmelita 3Krg'ecturer( /rof. Dr. Carmelita 3Krg Dr. Ri Li Dr. Andreas =Knsgen

Aim(

Tis course gives a surve! of metods used for te performance anal!sis of communicationnet)or*s. After tis course8 !ou sould be able to anal!se simple Bueueing s!stems andBueueing net)or*s.

)rere*uisite( Eordiplom%acelor lectrical ngineering < Information Tecnolog!Eordiplom%acelor Computer &cience

Content(

Te main topics are+6 undamentals of /robabilit! Teor!6 Traffic in Communication (et)or*s6 &tocastic /rocesses ,&/-6 ar*ovian /rocesses ,/-6 inite &tate ,ar*ovian- /rocesses

6 Anal!sis of ar*ovian &erver&!stems

6 pen and Closed Queueing (et)or*s6 31 odel6 31I((/; odel6 31I/; odel

'iterature+

Jain8 ;.=. + Te Art of Computer &!stems /erformance Anal!sis+ TecniBues for

9perimental Design8 easurement8 &imulation8 and odeling8 Jon ile! < &ons8 1""1.=leinroc* L.+ Queueing &!stems. Eol I+ Teor!. Jon ile! < &ons8 1"75.

=leinroc* L.+ Queueing &!stems. Eol II+ Applications. Jon ile! < &ons8 1"70.

Methods( Lectures and e9ercises )it presentations b! students

Efficienc+ ,tatement( ral 9amination





,uggested for( CIT 1st term8 ,compulsor! course-8 IA 2nd or 'rd term8 ,elective course-8Diplom 2. &tudienabscnitt


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Communication Technologies

0esponsible( /rof. Dr.6Ing. A. De*ors!'ecturer( /rof. Dr.6Ing. A. De*ors!

Aim(

Communications Tecnolog! I is te first part of a t)o semester course. It covers te basicsof digital signal transfer.After tis first part8 te students sould be able to+

• 9plain te important prereBuisites for digital signal transfer • La!out simple transfer s!stems• &olve simple la!out problems for signal saping and filtering• Develop simulation models using atlab

)rere*uisite( &!stem teor!8 stocastic s!stems8 basics of communication teor!

Content(

#. Introduction+ &tocastic /rocesses '. /rinciples of Time ultiple91. Digital %aseband Transmission '.1.9ample+ /C6@ierac!1.1.&pectra of Data &ignals '.2.&!ncronisation ,s!mbol rate-1.2.(!Buist Criterion 4. Digital odulation1.'./artial ;esponse Transmission 4.1.Linear odulation etods1.4.atced ilter 4.2.(onlinear odulation etods1.5.%it rror /robabilit! 4.'.&pectral Caracteristics2. Bualiation 4.'.Coerent Demodulation

2.1.Linear Bualiation 4.4.Carrier &!ncronisation2.2.Decision eedbac* 4.5.(oncoerent Demodulation2.'.Adaptive Bualiation

'iterature(

David Tse8 /ramond Eis)anat+ undamentals of ireless Communications./roa*is8 J.+ Digital Communications.

Methods( Lecture8 e9ercises )it presentation b! te students


Information-

Do.nloads( ttp+))).ant.uni6bremen.deencoursesct1



,uggested for( CIT 2nd term8 ,compulsor! course-8 IA 2nd term8 ,elective course-8Diplom 2. &tudienabscnitt8 aster TIT


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ireless Communication Technologies


Aim(

Tis is te second part of a t)o semester course. After tis course8 te students )ill ave a basic *no)ledge on modern digital modulation s!stems. Te! sould be able to+

• 9plain concepts of A/ und L6designs.• Appl! te Eiterbi6Algoritm on distorted modulation signals.• Develop full s!stem concepts for mobile communication scenarios.• Appl! *no)ledge on modern solutions for mobiles suc as D and CDA.• Combine e9isting atlab6odules for te simulation of mobile communication

s!stems.

)rere*uisite( Communications Tecnologies

Content(

1. ptimal ;eceiver for A3( '. obile ;adio Cannels1.1.ptimal A3( ;eceiver '.1.ulitpat /ropagation1.2.3eneraliation for coloured noise '.2.Doppler &preading1.'.&!mbol %it rror /robabilit! 4. obile ;adio Transmission Concepts2. Transmission under I&I Conditions 4.1.Te D &!stem2.2.ptimal ;eceiver ,&L8 orne!- 4.2./rinciples of Code ultiple9,CDA-2.'.Eiberbi Algoritm 4.'.Te 3& obil ;adio &!stem

2.4.rror /robabilit! at Eiterbi Detection2.5.Influence of Cannel Impulse ;esponse2.0.Cannel stimation ,Least &Buares-

'iterature(

David Tse8 /ramond Eis)anat+ undamentals of ireless Communications.

/aulra:8 (abar8 3ore+ Introduction to &apce6Time ireless Communications.

Methods( Lecture8 e9ercises )it presentation b! te students


Information-

Do.nloads( ttp+))).ant.uni6bremen.deencoursesct2


orkload( 12# oursLectures and courses 'G

Lecture8 ome)or* and preparation of e9am 02G,uggested for( CIT 1st term8 ,compulsor! course-8 IA 1st or 'rd term8 ,elective course-8

Diplom 2. &tudienabscnitt


22/63

22

Control Theor+ I

0esponsible( /rof. Dr.6Ing. =ai icels'ecturer( /rof. Dr.6Ing. =ai icels

Aim(• nderstanding and @andling of state space metodolog!• Design of state space controllers )it different metods• bserver design

)rere*uisite( Lecture >3rundlagen der ;egelungstecni*? or eBuivalent *no)ledgeabout basics of control ,bode diagrams8 n!Buist plots8 n!Buist stabilit!criterion8 /ID controller design-

Content(

6 Definition and features of state variables6 &tate space description of linear s!stems6 (ormal forms6 Coordinate transformation6 3eneral solution of a linear state space eBuation6 L!apunov stabilit!6 Controllabilit! and observabilit!6 Concept of state space control6 &tead!6state accurac! of state space controllers6 bserver 6 Controller design b! pole placement

6 ;iccati controller design6 alb6olovitc controller design

'iterature(

• =. icels+ Control ngineering ,&cript in 3erman and nglis-

3erman+• J. Lune+ ;egelungstecni* 2• . Kllinger+ ;egelungstecni* • @. nbeauen+ ;egelungstecni* II

nglis+• (orman &. (ise+ Control &!stems ngineering

Methods( Lectures8 tutorial8 demonstration of numerial and s!mbolicalcalculation )it atlab

Efficienc+ ,tatement( ritten or oral e9amination8 depending on number of participants.




23/63

2'

orkload( 12# oursLectures and courses '5G@ome)or* and preparation of e9am 05G

,uggested for( IA and CIT 2nd term ,compulsor! course4


24/63

24

Control Theor+ II


Aim(

• Increasing te understanding of linear state space anal!sis and controller design

• nderstanding te idea and te design of norm6optimal controllers

)rere*uisite( Lecture >Control Teor! I?

Content(

Seros of ulti6Input6ulti6utput s!stems

;obustness (orms Design of norm6optimal controllers

'iterature(

=. icels+ Control ngineering ,&cript in 3erman and nglis- =. Fller+ nt)urf robuster ;egelungen ,3erman- J. Ac*ermann+ ;obust Control ,nglis-

Methods( Lectures8 tutorial8 demonstration of numerical and s!mbolicalcalculation )it atlab

Efficienc+ ,tatement( ritten or oral8 depending on te numberof participants



orkload( 12# oursLectures and courses '5G

@ome)or* and preparation of e9am 05G

,uggested for( IA and CIT 'rd term ,elective course-


25/63

25

Control Theor+ III

0esponsible( /rof. Dr.6Ing. =ai icels'ecturer( Dr.6Ing. Jocen &cFttler

Aim(

3etting familiar )it te >&tate of te Art? in te field of linear and non6linear control

)rere*uisite( Lecture >Control Teor! II?

Content(

• 6s!ntesis as ne9t stage of norm6optimal control8 )ic )as introduced in Control Teor! II• 9act Lineariation

'iterature(

• Isidori+ (onlinear Control &!stems• Ac*ermann et al.+ ;obust Control

• Adam!+ (ictlineare ;egelungen• &lotine+ Applied (onlinear Control

• Do!le et al.+ eedbac* Control Teor!

Methods( Lectures8 demonstration of numerial and s!mbolical calculation)it atlab

Efficienc+ ,tatement( ritten or oral8 depending on te numberof participants


ECT, Credits( ',,( 2

orkload( "# oursLectures and courses '1G

@ome)or* and preparation of e9am 0"G

,uggested for( IA and CIT 4t term ,elective course-


26/63

20

Digital ,ignal )rocessing


Aim(Tis is te first part of te t)o semester course on digital signal processing. After tis course8te students )ill be able to+

• Anal!se recursive and non6recursive digital filters.

• La!out basic structures for practical realisation.

• /erform la!outs using e9isting la!out soft)are.

• &imulate digital filters using atlab.

• Appl! te basics of T.

)rere*uisite( &!stem teor!8 basics of stocastic and random variables

Content(

1. Introduction '.'.Design of ilters )it Linear /ase2. ;ecursive ilters '.4.&pecial (on6;ecursive ilters2.1.Canonical &tructures '.5.Comple9 Ealued I;6ilters2.2.Design of ;ecursive ilters 4. Discrete ourier Transform ,DT-2.'.&pecial T!pes of ;ecursive ilters 4.1.Definition of te DT2.4.Quantiation ffects 4.2./roperties of te DT'. (on6;ecursive ilters 4.'.;elation )it oter Transforms'.1.I;6&!stems 4.4.ast ourier Transform ,T-'.2.&!stems )it Linear /ase 4.5.ast Convolution

'iterature(

J.3. /roa*is8 D.3. anola*is+ Digital &ignal /rocessing ,/rentice @all-.

Methods( Lectures8 /C e9ercises )it atlab


Information-

Do.nloads( ttp+))).ant.uni6bremen.deencoursesdsp1



,uggested for( CIT 1st term8 ,elective-8 IA 1st or 'rd term8 ,elective course-8 Diplom 2.

&tudienabscnitt8 %acelor TIT


27/63

27

Ad&anced Digital ,ignal )rocessing

0esponsible( /rof. Dr.6Ing. A. De*ors!

'ecturer( /rof. Dr.6Ing. A. De*ors!

Aim(

Tis is part t)o of te t)o semester course on digital signal processing. After te course8 testudents )ill be able to+

• Appl! T for spectral anal!sis of deterministic signals.• Develop small numeric routines.• 9plain te basics of te traditional metods of spectral anal!sis for stocastic

processes.• Appl! e9isting routines for simulation ,atlab-• nderstand te teoretical basics of parametric estimation procedures.• Anal!se language signals using e9isting program libraries.

)rere*uisite( Digital &ignal /rocessing I

Content(

1. &pectrum Anal!sis of Deterministic &ignals '. /arametric &pectrum st.1.1.DT of ;eal Ealued &eBuences '.1.A;A6odels1.2.Transform of ;eal Ealued %andpass &ignals '.2.ar*ov /rocess ,1st rder-1.'.Anal!sis of /eriodic &ignals '.'.ule6al*er Buation1.4.indo)6unctions ,Time Domain- '.4.Linear /rediction ,&urve!-2. Traditional &pectrum stimation '.5.Levinson6Durbin ;ecursion2.1.stimation of te Autocorrelation '.0.Lattice &tructure2.2.Calculation of te AC based on T '.7.ule6al*er Buation2.'./eriodogram ,Eariance- '..9amples2.4.Consistent &pectrum stimation ,&urve!-

'iterature(

@a!*in+ Adaptive ilter Teorie ,/rentice @all-.Ean Trees+ Detection8 stimation and odulation Teor! ,ile!-.

Methods( Lectures8 /C e9ercises using atlab


Information-Do.nloads( ttp+))).ant.uni6bremen.deencoursesdsp2



,uggested for( CIT 2nd term8 ,compulsor! course-8 IA 2nd ,elective course-8 Diplom 2.&tudienabscnittM aster TIT


28/63

2

D+namic ,+stems I


Aim(%ased on te lecture >3rundlagen der ;egelungstecni*? ,%asics of Control ngineering-8)ere onl! linear s!stems )ere discussed8 tis lecture )ill concentrate on nonlinear s!stems)it teir special features and suitable control solutions. Te students sall learn to andlenonlinearities in simple control loops.

)rere*uisite( Lecture >3rundlagen der ;egelungstecni*? or eBuivalent *no)ledge about basics of control ,bode diagrams8 n!Buist plots8 n!Buist stabilit! criterion8 /IDcontroller design-

Content( %asics and features of nonlinear s!stems &)itcing functions as transfer elements Definition of stabilit! for nonlinear s!stems Direct metod of L!apunov Describing function /opov criterion8 circle criterion8 !perstabilit! &liding6mode control 3ain &ceduling

'iterature(

• =. icels+ Control ngineering ,&cript in 3erman and nglis-

• . Kllinger+ (ictlineare ;egelungen I und II ,3erman-

• =. icels+ u! Control ,nglis-

• assim . @addad+ (onlinear D!namical &!stems and Control+ A L!apunov6%asedApproac ,nglis-

• &e:id Tesn:a*+ (onlinear Control &!stems ,nglis-

Methods( Lectures8 tutorial

Efficienc+ ,tatement( ritten or oral e9amination8 depending on te number of participants

Information-

Do.nloads(


orkload( 12# oursLectures and courses '5GLecture8 ome)or* and preparation of e9am 05G

,uggested for( IA 2nd term ,compulsor! course-8 CIT 2nd term ,elective course-


29/63

2"

D+namic ,+stems II


Aim(Tis lecture )ill give insigt into discrete control teor!8 adaptive control8 and u!6(euros!stems

)rere*uisite( Lectures ?Control Teor! I and >D!namic &!stems I? are elpful8 but notcompulsor!

Content(

Discrete s!stems+ basic considerations &ampling teorem Linear difference eBuations

&tate space description of discrete linear s!stems &tabilit! of discrete s!stems Transformation of a continuous model into a discrete model 6transformation Controller design for discrete s!stems Adaptive control u! control (eural net)or*s

'iterature(

3erman and nglis+ =. icels+ Control ngineering ,&cript-

3erman+• =. icels+ u!6;egler • J. Lune+ ;egelungstecni* 2• ;. Isermann+ Digitale ;egels!steme %and I• @. nbeauen+ ;egelungstecni* 2• %Kc*er8 @artmann8 S)anig+ (ictlineare und adaptive ;egelungss!steme

nglis+• =. icels+ u! Control

• (orman &. (ise+ Control &!stems ngineering• =arl J. Astrom+ Adaptive Control• Ioan Dore Landau+ Adaptive Control

Methods( Lectures and tutorial

Efficienc+ ,tatement( ritten or oral e9amination8 depending on te number of participants

Information-

Do.nloads(



30/63

'#

orkload( 12# oursLectures and courses '5GLecture8 ome)or* and preparation of e9am 05G

,uggested for( IA and CIT 'rd term ,elective course-


31/63

'1

Electrod+namics


Aim(

itout lectrod!namics8 i.e. te teor! of a9)ell8 arada!8 Ampere8 ersted8 et al. aboutelectric8 magnetic8 and electromagnetic penomena li*e conduction8 induction8 andelectromagnetic fields and )aves8 our modern )orld )it all its acievements in electricit!8electronics and communications )ould not e9ist. Tis course gives te students anunderstanding about te teor! in te field of electrod!namics. Te focus is on te discussionof a9)ellHs eBuations and electromagnetic )ave penomena.After tis course te students sould be able

• to e9plain electromagnetic penomena )it te elp of a9)ellHs eBuations

• to derive te )ave eBuation8 to give teir solutions and to interpret tem

• to appl! basics of transmission line teor! )rt. reflection8 )ave impedance8 matcing8etc.

)rere*uisite( undamentals of electric and magnetic fields taugt in %.&c. programsin lectrical ngineering. Eector anal!sis.

Content(

6 atematical bac*ground of electrod!namics ,scalar and vector fields8 vector operationsgrad8 div8 curl-6 a9)ellHs eBuations

6 lectromagnetic )aves6 transmission line teor! incl. reflection8 )ave impedance8 matcing

'iterature(

Lecture script and lecture slides.atte) &adi*u8 ?lements of lectromagnetics8 9ford niversit! /ress8 2##7.Jon Jac*son8 ?Classical lectrod!namics8 Jon ile! < &ons8 tird edition8 1"".David /oar8 ?icro)ave ngineering8 Jon ile! < &ons8 tird or fourt edition.



Information-

Do.nloads( ttp+))).f.uni6bremen.de



,uggested for( CIT and IA 1st term ,compulsor! course-


32/63

'2

5erman language course 1 and #

0esponsible( Teacers of te language scool'ecturer( Teacers of te language scool

Aim(

Te aim of te 3erman language course is to acieve a basic understanding of 3erman. Afterte courses8 te students sould be able to communicate in 3erman for te needs of ever!da!life. Te! sould also be able to understand scientific and management topics so tat te! canfollo) te discussions in a researc institute.

)rere*uisite( (one

Content(

Te 3erman language course is given b! te 3oete Institute in %remen using temetods of language teacing. Te course is obligator!8 but not graded. Tere is no gradefor tis course given in te master certificate. Te course is planned for t)o semesters8 te1st and te 2nd semester )it 2C/ eac. @o)ever8 due to lac* of teacing capacities anddue to reduced financial resources for language courses8 a different approac ma!optionall! be used. or tat reason8 te course ma! also be done in te first semester )itone 4 C/ course program. Te students )ill be informed in a transparent )a! about tissituation b! te master office.

'iterature(

&critte international 18 =ursbuc $ Arbeitsbuc mit Audio6CD um Arbeitsbuc undintera*tiven Ubungen8 @ueber Eerlag8 I&%( "76'61"6##15162.

Methods( Language teacing metods

Efficienc+ ,tatement( (o e9am8 participation statement

Information-

Do.nloads( 3iven b! te language scool

ECT, Credits( 4

orkload( 12# ours/resence 4#G&tud! time 0#G

,uggested for( CIT and IA 1st and 2nd term8 ,compulsor! course-.


33/63

''

6u77+83eural ,+stems in Modeling- )rediction and ,ignal )rocessing

0esponsible( Dr.6Ing. A:o! =. /alit'ecturer( Dr.6Ing. A:o! =. /alit

Aim(

u!6neural s!stems in modeling8 prediction and signal processing is an independent onesemester course )ic )ill give !ou a basic understanding of fu! logic s!stem and !bridintelligent s!stem suc as neuro6fu! net)or* tat can be applied for s!stem modeling8 data

prediction8 and signal processing purposes.After tis course8 !ou sould be able to+ nderstand te importance of fu! logic and fu!6neural s!stems in engineeringapplications. nderstand te difference bet)een te crisp set and fu! set8 and oter terms and concepts

li*e fu! aritmetic8 fu! relation8 fu! set as generaliation of crisp set8 fu!6rules8fuification8 defuification8 and fu! inferencing mecanism etc. 3enerate fu! rules troug learning from e9amples and clustering metod Implement and fine tune te fu! logic s!stem using neural net)or* tecnolog! Anal!e te transparenc!8 interpretabilit! and accurac! of te fu! fu!6neural model Appl! fu! logic fu!6neural s!stems in ,)ite bo9- modeling8 prediction and adaptivefiltering purposes

)rere*uisite( atematics8 C$$ ATLA% programming

Content(6 Introduction6 u! sets and properties6 u! relation6 u! logic s!stems ,amdani8 T&8

singleton8 relational model-6 u! inferencing mecanism6 3eneration of rule ,angHs metod-6 Clustering and L& based rule generation

6 (euro implementation of fu! s!stem6 Introduction to A(I& neuro6fu!

net)or* 6 %ac*propagation8 arBuardt training

algoritm for neuro6fu! net)or* 6 /roblems in automatic data driven rule

generation6 Application in modeling8 prediction and

signal processing

'iterature(

Computational Intelligence in Time &eries orecasting8 Teor! and ngg. Applications8&pringer6Eerlag8 London8 2##58 I&%(+ 152''"4".



Information- Course Materials( 6mail+ palitVitem.uni6bremen.de



34/63

'4


,uggested for( CIT and IA8 2nd or 'rd term. ,elective course-


35/63

'5

Master ,eminar 1

0esponsible( /rof. Dr. Carmelita 3Krg8 /rof. alter Lang'ecturer( /rof. Dr. Carmelita 3Krg8 /rof. alter Lang

Aim(

Te aim of te first master seminar is to constitute a group out of te ne) students8 toestablis cooperation )it oter students and )it te professors. urtermore8 te studentsould learn to prepare and to perform oral presentations.

)rere*uisite( (one

Content(

In te first term of te master seminar8 students give an oral presentation. Tefirst part of tis presentation contains general information about teir

bac*ground8 teir ome countr!8 teir ome universit!8 teir previous scientificand professional activities. Te second part is about is about some of teir

previous scientific )or* done b! te student in te past. Tis ma! be aboutteir bacelor tesis8 or about some oter professional activities.

'iterature(

itin te aster &eminar a printout of general information about te aster /rogram is

given to te students and discussed.Methods( /resentationEfficienc+ ,tatement( ral /resentation in te seminar

Information-

Do.nloads( (one


orkload( 0# ours/resence in te seminar 4#G/reparation of te presentation 0#G

,uggested for( CIT and IA 1st term8 ,compulsor! course-.


36/63

'0

Master ,eminar #

0esponsible( /rof. Dr. Carmelita 3Krg8 /rof. alter Lang'ecturer( /rof. Dr. Carmelita 3Krg8 /rof. alter Lang

Aim(

Te aim of te second master seminar is to learn o) to do scientific presentations and o) todiscuss scientific results giving te student positive criticism on teir presentations.

)rere*uisite( (one

Content(

In te second term of te master seminar8 eac student gives an oral presentation about a scientific topic. Te topic is defined b! te student

togeter )it is mentor.

'iterature(

itin te aster &eminar publications are given to te students and discussed.

Methods( /resentationEfficienc+ ,tatement( ral /resentation in te seminar8 a report in form of a

commented version of te slides of te presentation

Information-Do.nloads( individuall! given b! te supervisor


orkload( 0# ours/resence in te seminar 4#G/reparation of te presentation 0#G

,uggested for( CIT and IA 2nd term8 ,compulsor! course-.


37/63

'7

Master Thesis

0esponsible( /rofessors of lectrical ngineering'ecturer( /rofessors of lectrical ngineering

Aim(

Te master tesis is an autonomous )or* of researc done )it te guidance of a supervisor.Te aim is to learn o) to plan8 to perform and to document scientific )or*. After te mastertesis8 te student sould be able to do researc )itin industrial surroundings or )itin a/D pro:ect.

)rere*uisite( Acievement of min 7 C/.

Content(

Te master tesis is an autonomous8 toug supervised scientific )or* ofconsiderable content. In eac case a specific topic is defined b! te student togeter)it te supervisor. Te master tesis is an independent )or* of researc. It isdocumented in a master tesis report. Te master tesis is concluded )it an oral

presentation.

'iterature( ver! student reads iser topic related publications

Methods( &cientific researc metods suc as measurements8 simulations8calculations and modelling.Efficienc+ ,tatement( aster tesis report and presentation

Information-

Do.nloads( /rovided b! te supervisor in te specific case. &earcing for sourcesand stud! of te literature is part of te )or*.

ECT, Credits( '#,,( 6

orkload( "## ours&cientific )or* 7#GDocumentation and presentation '#G

,uggested for( CIT and IA 4t term8 ,compulsor!-.


38/63

'

Microfluidic De&ices

0esponsible( /rof. Dr. icael Eelle*oop'ecturer( /rof. Dr. icael Eelle*oop

Aim(

In te course an overvie) is given of te developments in te area of microfluidic devicesfrom te earl! start ,)ere especiall! silicon integrated valves and pumps )ere investigated-to te lab6on6a6cip devices of toda!. Te functionalit! of te sensors and actuators8 tetecnologies applied8 and te design of fluidic cips )ill be discussed. &ome basic fluidicsaspects )ill be presented and a practical ,LaborFbung- in )ic C&L is used for tesimulation of microfluidic elements is included. Lastl!8 a series of e9amples of currentl!investigated microfluidic devices )ill be so)n8 e.g. cips for capillar! electroporesis8coulter counter8 c!tometr! and optofluidics./ractical+ ?Introduction to C&L based fluidic simulations ,Dr. &. van den Driesce-.

After tis course8 !ou sould be able to+ understand te basics of microfluidics understand and e9plain te functioning of microfluidic devices appl! caracteriation parameters for ,elements of- microfluidic devices understand fabrication tecnologies for microfluidic devices

)rere*uisite( %asic *no)ledge of microtecnolog!. Tis can be acBuired b!+te course on ?Introduction to icro Tecnolog! b! . Eelle*oop8 orte course ?&ensors and easurement &!stems b! . Lang8 or

stud!ing a te9tboo* suc as ?Introduction to icrofabrication ,&. ranssila-Content(

1. Contents8 rganisation8 Introduction2. %asics of microfluidics'. lo) control+ valves and pumps

4. &ensors and anal!sis in Wfluidic devices5. 9amples of Wfluidic devices0. Tecnolog! for Wfluidic devices

'iterature(

. =oc8 A. vans8 A. %runnsc)eiler8 icrofluidic Tecnolog! and Applications8 ;&/@. %ruus8 Teoretical icrofluidics8 9ford niversit! /ress

Methods( Lecture8 practical


Information-

Do.nloads( &tud.I/


orkload( 12# ours

Lectures and practical ''G@ome)or*8 practical preparation and e9am preparation 07G

,uggested for( CIT 'rd term8 IA 'rd term8 le*trotecni* aster ,&o&e-


39/63

'"

Micros+stems

0esponsible( /rof. Dr. alter Lang'ecturer( /rof. Dr. alter Lang

Aim(icros!stems is an introduction to & ,icro lectromecanical &!stems- devices.After te course !ou sould+• =no) important applications of micros!stems.

• =no) o) to combine single process steps to full process flo)s.

• nderstand process control and measurement tecniBues.

• @ave a deepened *no)ledge in te fields of+o icroactuatorso nerg! in icros!stemso &ensor net)or*s

)rere*uisite( %asic *no)ledge of microtecnolog!. Tis can be a*Buired b! te course on ?icrotecnolog! b! . Eelle*oop

r Te course ?&ensors and easurement &!stemsr &tud!ing a te9tboo* suc as ?Introduction to icrofabrication

b! &ami ranssila

Content(

6 Application areas of icros!stems6 /rocess integration8 process measurement8 ousing tecniBues8 process cost estimation at te e9ample of a pressure sensor

6 icroactuators6 nerg! in icros!stems6 &ensor net)or*s

'iterature(

&ami ranssila+ Introduction to microfabricationEKl*lein8 Setterer+ infFrung in die i*ros!stemtecni*.

Methods( Lecture8 Tutorial


Information-

Do.nloads( &tudip



,uggested for( CIT 'rd &emester8 IA 'rd &emester8 aster TIT


40/63

4#

Micro Technolog+

0esponsible( /rof. Dr. icael Eelle*oop'ecturer( /rof. Dr. icael Eelle*oop

Aim(

icro Tecnolog! is an independent one semester course in )ic !ou )ill obtain a basicunderstanding of te tecnolog! and processes used to fabricate microsensors8 microactuators8microelectromecanical s!stems ,&-8 and microfluidic devices. After tis course8 !ou sould be able to+ nderstand and e9plain important sensor fabrication processes ;elate specific material properties to microstructuring abilities and to sensor functions nderstand te function of structures in microsensors and 6actuators

Design structures for a specific sensor function

)rere*uisite( %asics of electrical engineering and electrical measurement metods

Content(

7. Contents8 rganisation8 Introduction. anufacturing and Clean ;oom". aterials1#. %asic /rocesses

11. &tructures12. Integration1'. Tools14. uture aspects

'iterature(

&ami ranssila8 Introduction to microfabrication8 ile!8 ed. 2#1#

Methods( Lecture8 practical in small group in te clean room


Information-

Do.nloads( &tud.I/


orkload( 12# oursLectures and practical 'G@ome)or*8 practical preparation and e9am preparation 02G

,uggested for( CIT 2nd term8 IA 2nd term8%acelor le*trotecni* ,5t semester-


41/63

41

3e9t 5eneration Cellular 3et.orks

0esponsible( Dr. &tefan %rFc*'ecturer( Dr. &tefan %rFc*

Aim( (e) &tandards for Cellular (et)or*s is an independent one semester course )ic )ill give!ou a basic understanding of cellular net)or*s8 teir istor!8 te s!stem structure8 te

protocols and te future developments of mobile communications.

)rere*uisite( Communications Tecnolog!8 Communication (et)or*s

Content(

• obile Communications@istor! and /rinciples

• &econd 3eneration ,23-+ 3& vervie)• Tird 3eneration ,'3-+ T& &ervices and Applications8 &!stem Arcitecture8 Air

Interface• T& volution

@ig &peed /ac*et Access ,@&/A-• %e!ond '3 s!stems

T& Long Term volution ,LT-

(et)or* /lanning and ptimiationTargets8 Callenges8 odeling

'iterature(

CDA for T&8 @. @olma and A. Tos*ala8 ile!.

;adio (et)or* /lanning and ptimiation for T&8 J. Laio and A. ac*er and T. (ovosad8 ile!

LT8 &. &esia and I. Toufi* and . %a*er8 ile!.

LT for T&8 @. @olma and A. Tos*ala8 ile!.



Information-

Do.nloads( Literature is given in te lectures8/lease also refer to ))).comnets.uni6bremen.de




42/63

42

Lecture8 ome)or* and preparation of e9am 02G



43/63

4'

3e. ,tandards for ireless 'ocal Area 3et.orks

0esponsible( Dr. Andreas =Knsgen'ecturer( Dr. Andreas =Knsgen Dr. =oo:ana =uladiniti

Aim(

(e) &tandards for ireless Local Area (et)or*s is an independent one semester course)ic )ill give !ou a basic understanding of local area net)or*s and sensor net)or*s. or te#2.11 LA( standards te focus is a detailed understanding of te AC protocols.After tis course8 !ou sould be able to+

• (ame and describe te relevant standards• nderstand basic LA( s!stem concepts• Anal!e *e! s!stem realiation aspects• nderstand sensor net)or*ing protocols proposed b! te IT• nderstand uture Developments of ireless Communications

)rere*uisite( Communications Tecnolog!8 Communication (et)or*s

Content(

• obile and ireless Communications %asics ,radio propagation8 modulation8 coding8multiple access8 duple9 scemes-

• vervie) of ireless Communication &tandards ,LA(8 A(8 /A(8 %A(-• vervie) of te I #2.11 ,ireless LA(- &tandards &eries• #2.11 /!sical La!er •

#2.11 AC La!er • #2.11 &ecurit!• I #2.10 6 ireless etropolitan Area (et)or* ,A(-+ iAR• I #2.15 6 ireless /ersonal Area (et)or* ,/A(%A(-+ %luetoot and

Sigbee• I #2.220 6 ireless ;egional Area (et)or* ,;A(-• IT standards for &ensor (et)or*s ,0Lo/A(8 ;/L and CoA/-

'iterature(

%ernard @. al*e+ obile ;adio (et)or*s. Jon ile! and &ons8 2nd edition8

2##1.

Jocen &ciller+ obile Communications8 Addison6esle!8 2nd edition8 2##'.

atte) &. 3ast+ #2.11 ireless (et)or*s. O;eill!8 2nd edition8 2##5.

I #2 standards famil!8 available onhttp://standards.ieee.org/about/get/802/802.html

@olger =arl8 Andreas illig8 /rotocols and Arcitectures for ireless &ensor (et)or*s8 Jon ile! and &ons8 2##7.

Sac &elb!8 Carsten %ormann8 0Lo/A(+ Te ireless mbedded Internet8 Jonile! and &ons8 2##".

http://standards.ieee.org/about/get/802/802.htmlhttp://standards.ieee.org/about/get/802/802.html


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Methods( Lecture8 e9ercises8 demonstrations






,uggested for( CIT 2nd or 'rd term8 ,elective course-8 Diplom 2. &tudienabscnitt


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45

)rocess Automation I

0esponsible( /rof. Dr. A9el 3rNser 'ecturer( /rof. Dr. A9el 3rNser

Aim(/rocess Automation I is an independent one semester course )ic )ill give !ou anunderstanding in D&6Discrete vent &!stem Design and its application in plant and deviceautomation.After tis course8 !ou sould be able to understand+

• Discrete event s!stems modelling

• ormal languages8 automaton teor!8 /etri nets

• %asics of supervisor! control teor!

• %asics of Timed Automata

• Computation Tree Logic CTL8TCTL

• Application of D& Teor! for different plants• &oft)are tools for anal!sis of D&

)rere*uisite( %&c. or %eng.Content(

• Discrete event s!stems modelling• ormal languages8 automaton teor!8 /etri nets

• %asics of supervisor! control teor!

• %asics of Timed Automata

• Computation Tree Logic CTL8TCTL

• Application of D& Teor! for different plants• &oft)are tools for anal!sis of D&•

'iterature(

• Introduction for discrete event s!stems8 C.3. Cassandras8 &. Lafortune8 &pringerEerlag

• /etri (ets for &!stems ngineering8C. 3irault8 ;. Eal*8 &pringer Eerlag8Methods( Lectures8 e9ercisesEfficienc+ ,tatement( inal )ritten e9aminationM 9am performance+ &uccessful presence

in all )ee*l! e9ercises and delivering graded e9ercisesInformation-

Do.nloads( ttps+elearning.uni6bremen.deECT, Credits( 4,,( 'orkload( 12# ours


,uggested for( CIT 2nd or 'rd term8 ,elective course-8 IA 1st term8 ,compulsor! course-8Diplom 2. &tudienabscnitt



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40

)rocess Automation II

0esponsible( /rof. Dr. A9el 3rNser

'ecturer( Dr. lena =umiceva

Aim(

/rocess Automation II is an independent one semester course )ic )ill give !ou anovervie) of advanced control metods for computer controlled s!stems. After tis course8!ou sould be able to understand te procedure of s!stem identification8 different structures ofadaptive control s!stems as )ell as controller optimiation )it iterative feedbac* tuningtecniBue.

)rere*uisite( %&c. or %eng.

Content(

6 Introduction to computer controlled s!stems8 S6Transform

6 Identification of d!namic s!stems

o nline and offline metodso &oft)are tools

6 Adaptive control s!stems

o Different structures of adaptive control s!stemso odel ;eferenced Adaptive Control ,;AC-o inimum Eariance Control ,EC-

6 Iterative feedbac* tuning ,IT-

o %asic optimiation metodso Controller optimiation )it Iterative eedbac* Tuning

'iterature (

- L. L:ung8 ?&!stem Identification+ Teor! for te ser &econd dition8 /rentice @all/T;8 2##78 I&%(+ #61'60500"562

- =. J. XstrKm8 %. ittenmar* ?Adaptive Control8 Addison6esle! /ublisingCompan!8 1""8 I&%( #62#16#"72#60

- =arl Joan YstrKm8 %:Krn ittenmar*8 >Computer controlled s!stems+ teor! anddesign?8 second edition8 /rentice6@all International8 I&%(+ #61'61727462

- J. i*leZ8 . i*ar8 ?/rocess odelling8 Identification and Control8 &pringer8 I&%(+

"76'654#671"0"64- ;. IsermannM =.6@. LacmannM D. at*o8 >Adaptive Control &!stems?8 /rentice @all8

1""28 I&%( #61'6##54146'

Methods( Lecture8 e9ercises8 e9ercises )it atlab and &imulin*

Efficienc+ ,tatement( inal )ritten e9aminationM 9am performance+ &uccessful presenceand preparation of all )ee*l! e9ercises

Information-


ECT, Credits( 4



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,,( '

orkload( 12# ours

Lectures and courses 'G


,uggested for( CIT 2nd or 'rd term8 ,elective course-8 IA 2nd term8 ,compulsor!course-8 Diplom 2. &tudienabscnitt


48/63

4

)rocess Automation 'aborator+

0esponsible( /rof. Dr. A9el 3rNser 'ecturer( /rof. Dr. A9el 3rNser

Aim(

Te module provides students )it te *no)ledge of practical applications of processautomation control metods. Te students can appl! te *no)ledge and practical s*ills gained)itin laborator! e9periments in different engineering fields.


Content(

5 Laborator! e9periments )itin 0 lab dates are considered. p to 5 students build a group

and e9periment te laborator! tas*s togeter. Te e9periments are adapted to te lectures process automation.

6 9periment 1+ Train Control ,&upervisor! Control Teor!-6 9periment 2+ /LC6;obot ,t)o parts-6 9periment '+ Temperature control6 9periment 4+ %rain Computer Interface6 9periment 5+ CA(6%us

'iterature(

Introduction for discrete event s!stems8 C.3. Cassandras8 &. Lafortune8 &pringer EerlagMethods( /ractical 9periments8 /C 9ercises

Efficienc+ ,tatement( Laborator! reports

Information-



orkload( "# oursLaborator! 9ercises '#G@ome)or*8 preparation of e9periments8 )riting laborator! reports 7#G

,uggested for( IA 2nd term8 ,compulsor! course-8 Diplom 2. &tudienabscnitt



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4"

)ro:ect

0esponsible( /rofessors of lectrical ngineering'ecturer( /rofessors of lectrical ngineering

Aim(

itin te pro:ect8 te student learns to perform scientific investigations and to documenttem in te form of a tesis and to present te results. Te student also learns o) to )or* ina group of scientists.After te pro:ect8 te student sould be prepared for te master tesis.

)rere*uisite( (one

Content(

Te pro:ect is an autonomous8 toug supervised scientific )or*. It can be done in agroup of students or as te )or* of one single student. In eac case a specific topic isdefined b! te student togeter )it te supervisor. Te pro:ect is an independent)or* of researc. It is documented in a pro:ect tesis. Te pro:ect )ill also be

presented8 generall! in te seminar of te institute of te supervisor as an oral presentation.

'iterature( Literature lin*ed especiall! to te pro:ect )ill be anded out to te

students )en beginning te specific pro:ect.Methods( &cientific researc metods suc as measurements8 simulations8

calculations and modelling.Efficienc+ ,tatement( /ro:ect report and presentation

Information-

Do.nloads( /rovided b! te supervisor in te specific case. &earcing for sourcesand stud! of te literature is part of te )or*.

ECT, Credits( 14

,,( 0

orkload( 42# ours&cientific )or* 7#GDocumentation and presentation '#G

,uggested for( CIT and IA 'rd term8 ,compulsor! course-.


50/63

5#

0eal8Time ,oft.are Design 1 ; #

0esponsible( (. (.'ecturer( (. (.

Aim(

Introduction and application of te reBuirements6specification and &6design of real6time problems supported b! real6time operating s!stems for case6studies of ig significance andconceptual importance. &pecial focus on te introduction of verifiable certifiable6b!6inspection fault6tolerance6oriented components.

After this course, the students should be able to:

design igl! understandable problem6oriented real6time & )ic can be s!stematicall!transformed to an! suitable programming language supported b! a real6time operating s!stem,e.g. C$$ indo)s (TM Ada /&IR- design conceptuall! te components of a real6time operating s!stem for /LCs )it respect

to te standard IC 0 11'16' appl! te sceduling strategies of igest conceptual importance ,;ate onotonic8 arliestDeadline irst &ceduling-8 verif! tas*6scedulabilit! understand te conceptual !brid design of a /LC s!stem6& introduce verifiable certifiable T6oriented &6components for dependable control )itrespect to te standard IC 0 15#6'

)rere*uisite( Process-Automation 1

Content(

Real-Time SW-design 16 odels for te real6time &6development6 &6design in6te6large ,&6arcitecture

)it modules import6relations-6 &6design in6te6small ,&6arcitecture

)it procedures call6relations8 tas*s tas*6control relations-

6@!brid &6design ,function6 < ob:ect6oriented-

6 Case &tudies 1+ /rocess6identification pac*ageM /LC s!stem6soft)are

Real-Time SW-design 26 ault6tolerance6oriented tas*s for embeddeds!stems

6 &cedulabilit! tas*6sceuling strategies6 Design of a real6time operating s!stem+ tas*

management6 Design of a process6I6module6 9ception andling+ &ensor faults8 deadline

violation6 Case studies 2+ Dependable fu! control

)it /LC

'iterature(

illiam &tallings8 perating &!stems8 I&%(61'+ "76#61'60#'''76# 8 I&%(61#+ #61'60#'''7678 /earson Eerlag.

Methods( Lecture8 e9ercises are integrated into te lecture8 discussion


Information( &cript

ECT, Credits( 2 9 4


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,,( 2 9 '

orkload( 2 9 12# oursLectures and courses 'GLecture8 ome)or* and preparation of e9am 02G

,uggested for( IA+ 2nd and 'rd term ,compulsor! course-8 CIT+ 2nd or 'rd term ,electivecourse-8 Diplom+ 7.< . &emester ,alpflict-


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06 6rontend De&ices and Circuits


Aim(Tis course aims at teacing te fundamental )or*ing principles of analogue ; frontenddevices and circuits tat are te main building bloc*s of fi9ed and mobile devices for )irelesscommunications ,3&8 LA(8 T&8 ;ID8 etc.- as )ell as for sensors li*e radar sensors.After tis course !ou sould understand te basic principles of ; devices li*e amplifiers8mi9ers8 oscillators8 /LLHs8 and freBuenc! s!ntesiers. Te fundamentals of t)o6port circuits8electronic noise8 and effects of non6linearities are addressed at first. %ased on tese teoretical

parts !ou sould be able to discuss te pros and cons of different ; frontend arcitecturesand to design first basic analogue ; frontend circuits.

)rere*uisite( %asic s!stem and communication teor!

Content(

6 T)o6port circuits6 (oise in electronic circuits6 undamentals of non6linear devices6 ; devices6 ; circuits and frontends

'iterature(lric L. ;ode8 David /. (e)*ir*8 ?;icro)ave Circuit Design for ireless Applications8Jon ile! < &ons8 2###.David . /oar8 ?icro)ave ngineering 8 Jon ile! < &ons8 tird edition8 2##5.David . /oar8 ?icro)ave and ; Design of ireless &!stems8 (e) or*8 (+ ile!82##1.J. Las*ar8 %. atinpour8 &. Ca*rabort!8 ?odern ;eceiver ront6nds+ &!stems8 Circuits8and Integration8 @obo*en8 (J+ ile!6Interscience8 2##4.%. ;aavi8 ?; icroelectronics8 pper &addle ;iver8 (J8 /rentice @all8 1st edition8 1"".L. . Larson8 ?; and micro)ave circuit design for )ireless communications8 %oston8 ass.+Artec @ouse8 1""7.



Information- Do.nloads( ttp+))).f.uni6bremen.de



,uggested for( CIT 1st term ,compulsor! course-8 Diplom 2. &tudienabscnitt8 aster

TIT


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5'

0obot D+namics ; ,imulation

0esponsible( Dr. leg Ivlev'ecturer( Dr. leg Ivlev

Aim(

;obot D!namics < &imulation is a one semester elective course for master students. Te aimof tis course is to provide te teoretical basis of matematical modeling of robot d!namicsas )ell as te practical e9periences in andling )it modern simulation s!stems ,on e9ampleof ATLA%&ILI(=6Toolbo9 &imecanics- )rere*uisite( %&c. >D!namic &!stems I? and >;obotics I? recommended

Content(

Corresponding to te teacing aim te course consists of t)o teacing blocs P teoretical part,lectures- and practical part ,practical )or* )it simulation soft)are-. %ot parts runalternatel!8 so tat te obtained teoretical *no)ledge )ill be completed step b! step b!

practical e9periences.

• Lecture Contents+

6 Introduction to robot d!namics+ rigid bod!8 multibod! s!stems )it tree structure8 *inematiccain8 constraint conditions8 degrees of freedom8 generalied ,minimal- coordinatesM6 /!sical modeling of robot6manipulators+ rigid bod! s!stems8 elastic elements8 !brids!stemsM

6 ;igid bod! d!namics+ center of mass8 tensor of inertia8 e9ternal forces8 moments of forces8torBue and couple8 linear and angular momentum8 *inetic and potential energ!M6 Computation of moments of inertiaM6 D!namic model of a an open *inematic cains+ Lagrange formulation8 (e)ton6ulerformulationM6 Direct d!namics and inverse d!namicsM

• Contents of /ractical /art+

6 &oft)are for modeling and simulation of d!namic s!stems+ an introductionM6 Toolbo9 &imecanics+ model building8 parameter specification8 visualiation and plottingM6 Case &tud! 1+ simple e9ample 6 a robot arm )it one revolute :ointM

6 Case &tud! 2+ modeling of a planar robot arm )it t)o revolute :ointsM6 Case &tud! '+ modeling of a spatial robot arm )it 4 revolute :ointsM6 Case &tud! 4+ modeling of a spatial mecanical structure )it revolute and prismatic :oints.

'iterature(

&ciavicco L.8 &iciliano %. odelling and Control of ;obot anipulators8 &pringer8 2###/feifer .8 ;eitmeier . ;oboterd!nami*8 Teubner Eerlageber . Industrieroboter+ etoden der &teuerung und ;egelung8 @anser8 2##"8 24 s.@eimann %.8 3ert .8 /opp =. ecatroni*+ =omponenete6etoden6%eispiele8 @anser82##78 4## &.

&imecanics P serHs 3uide8 ator*s[

Methods( Lecture8 tutorial8 practical e9ercises using simulation soft)are


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Efficienc+ ,tatement( )ritten ,computeried- e9amination. In order to be permitted for tefinal e9amination eac participant as to )or* successfull! on

practical part

Information-Do.nloads( ttps+elearning.uni6bremen.de


orkload( 12# ours,uggested for( IA 1st term8 ,compulsor! course-8 Diplom 2. &tudienabscnitt8.



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55

0obotics I

0esponsible( /rof. Dr. A9el 3rNser 'ecturer( Dr. Dani:ela ;isti\ 6 Durrant

Aim(

;obots are comple9 mecanical8 automatic and informatics s!stems )ic are of gro)inginterest not onl! in industrial robotics but also in oter areas suc as service robotics8 mobilerobotics and medical robotics. Tis module deals )it te most important fundamentalconcepts of te robotics and provides students )it te *no)ledge about te basis of tisfascinating and future oriented area. Te *no)ledge gained in lectures8 students can appl! forsolving te practical e9amples considered in practical e9ercises.


Content(

Te module starts )it te matematical preliminaries and te consideration of a manipulator*inematics. In connection to tat8 direct ,for)ard- as )ell as inverse *inematics )ill beinvestigated. As an important concept for te solution of direct *inematics te so6calledDenavit6@artenberg convention )ill be introduced. ;egarding te solution of inverse*inematics problems bot te anal!tical and numerical solution )ill be e9amined. Animportant topic of te module is also te tra:ector! planning. Te module ends )it teconsideration of different metods for robot control and basic control strategies for robotics!stems.

'iteratur(

Crane8 C. D.8 Duff!8 J.8 =inematic Anal!sis of ;obot anipulators8 Cambridge niversit!/ress8 1"".

&ciavicco8 L.8 &iciliano8 %.8 odelling and Control of ;obot anipulators8 &pringer6EerlagLondon Limited8 2###.

/aul8 ;.8 ;obot anipulators+ atematics8 /rogramming and Control8 Te IT /ress8Cambridge8 1"1.

Craig8 J. J.8 Introduction to ;obotics8 ecanics and Control8 Addison6esle! /ublisingCompan!8 assacusetts8 1"0.

&pong8 . .8 ;obot D!namics and Control8 Jon ile! < &ons8 1"".

LaEalle . &.8 /lanning Algoritms8 Cambridge niversit! /ress8 2##0.

&aeed8 %. (.8 Introduction to ;obotics Anal!sis8 &!stems8 Applications8 /rentice @all8 2##1.

Methods( Lecture8 e9ercises8 laborator! e9periments


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Efficienc+ ,tatement( ritten e9aminationM Te successful attendance of te laborator!e9ercises is te prereBuisite for ta*ing part in te )ritten e9am.

Information-




,uggested for( CIT and IA 2nd or 'rd term8 ,compulsor! course-8 Diplom 2.&tudienabscnitt



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0obotics II

0esponsible( /rof. Dr. A9el 3rNser 'ecturer( Dr. Dani:ela ;isti\ 6 Durrant

Aim(

;obots are comple9 mecanical8 automatic and informatics s!stems )ic are of gro)inginterest not onl! in industrial robotics but also in oter areas suc as service robotics8 mobilerobotics and medical robotics. &tarting from te basic robot control strategies8 tis module isfocused on te specific ,advanced- aspects of robotics suc as Eisual ;obot Control. As suc8te module provides students )it te *no)ledge about te basis of tis fascinating and futureoriented robotics area. Altoug focused on robotics8 te *no)ledge gained in lecturesconcerning digital image processing8 camera tecnologies and stereo vision students canappl! in a variet! of different engineering fields suc as biomecanics and car driver

assistance s!stems.

)rere*uisite( %&c. or %eng.8 ;obotic I recommended

Content(

Te module is focused on te specific aspects of robotics suc as+6 Eisual robot control ,Eisual servoing-

and related fields+6 Digital image processing6 /ro:ective transformations

6 Camera models6 &tereo vision ,epipolar geometr! and 'D reconstruction-

'iteratur(

Cor*e /. I.+ Eisual Control of ;obots+ ig6performance visual servoing8 ;esearc &tudies/ress LTD8 1""0.

@artle! ;.8 Sisserman A.+ ultiple Eie) 3eometr! in Computer Eision8 Cambridgeniversit! /ress8 2##2.

(i*u %. &.+ Introduction to ;obotics+ Anal!sis8 &!stems8 Applications8 /rentice @all8 2##1.

=lein8 .+ lementar! atematics from an advanced &tandpoint+ 3eometr!8 Dover/ublications Inc.8 I&%( #64064'416 3onales8 ;. C.8 oods ;. .+ Digital Image /rocessing8 /rentice6@all8 2##2.

Methods( Lecture8 e9ercises8 laborator! e9ercises

Efficienc+ ,tatement( ritten e9amination. Te successful attendance of t)o laborator!e9ercises is te prereBuisite for ta*ing part in te )ritten e9am.

Information-Do.nloads( ttps+elearning.uni6bremen.de



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,uggested for( CIT 2nd or 'rd term8 ,elective course-8 IA 'rd or 4t term8 ,compulsor!course-8 Diplom 2. &tudienabscnitt


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5"

,eminar ,oft80obotics

0esponsible( Dr. leg Ivlev'ecturer( Dr. leg Ivlev

Aim(

&oft6;obotics &eminar is a one semester elective course for master students. Te aim of tiscourse is to provide an overvie) on te ne) gro)ing field of modern robotic s!stems 6 bionicinspired robots )it fle9ible ,compliant- :oints8 developing for safe p!sical uman6robotinteraction.. Different concepts of compliant and bac*6drivable ,i.e. soft- actuators includingreBuired mecatronic solutions )ill be discussed and compared )rere*uisite( %&c. >;obotics I?8 ?;obot D!namics < &imulation recommended

Content(

• &afe uman6robot interaction• &oft6;obots P conception and definition

• Active ,sensor based- complianc! P DL; ligt )eigt robotic arm

• /assive complianc! P electro6mecanical concepts+6 &A ,Series Elastic Actuators-6 E&T ,Variable Stiffness Transmission-6 D2 , Distributed MacroMini Actuation-6 EIA ,Variable Im!edance Actuation-6 ACC/A , Mechanically Ad"ustable #om!liance-

• luidic soft6actuators+

6 Linear pneumatic uscles ,c=ibben8 pleated /A etc.-6 ;C6actuators ,actuators )it $otary Elastic #hambers-6 lectro pneumatic !brid actuators

• Application of soft robots6 Assistive und service robotics6 earable robots ,9os*eletons-

6 ;eabilitation robotics

'iterature(

;ecent publications ,mostl! scientific and tecnical papers- )ill be recommended8 copies )ill

be distributed

Methods( &eminar8 i.e. preparation and presentation of a report about one of tetopics8 active participation in discussions

Efficienc+ ,tatement( )ritten e9amination. Te final mar* consists of te mar* for tise9amination as )ell as of te evaluation of te prepared presentation.

Information-

Do.nloads( ttps+elearning.uni6bremen.deECT, Credits( 4

,,( 'orkload( 12# ours,uggested for( IA 1st term8 ,compulsor! course-8 Diplom 2. &tudienabscnitt8



60/63

0#

,ensors and Measurement ,+stems

0esponsible( /rof. Dr. alter Lang'ecturer( /rof. Dr. alter Lang

Aim(

&ensors and measurement s!stems is an independent one semester course )ic )ill give !ou a basic understanding in sensors8 measurement and micros!stems tecnolog!.After tis course8 !ou sould be able to+ (ame and e9plain important sensors Appl! caracteriation parameters for sensors Coose sensors for a given application and appl! tem Anal!e sensor s!stems nderstand micromacining tecnologies for sensors

)rere*uisite( %asics of electrical engineering and electrical measurement

Content(

15. Contents8 rganisation10. Termal sensors17. Tin film tecnolog!

1. /ressure sensors and bul* siliconmicromacining

1". Inertial sensors2#. lo) &ensors

'iterature(

I. &inclair+ &ensors and Transducers.J. %entle!+ /rinciples of measurement s!stems.

Methods( Lecture8 e9ercises )it presentations b! te students


Information-

Do.nloads( ttps+elearning.uni6bremen.demeine]seminare.pp



,uggested for( CIT 2nd term8 IA 2nd term8 Diplom 2. &tudienabscnitt8le*trotecni* aster


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01

,peech and Audio ,ignal )rocessing

0esponsible( &. 3Kte'ecturer( &. 3Kte

Aim(

%asic nderstanding of &peec6 and Audio6&ignal6/rocessing

)rere*uisite( 6

Content(

1. Introduction2. ;oom Acoustics'. &peec 3eneration and /erception4. (oise ;eduction5. Acoustic co Cancellation Adaptive iltering0. Listening ;oom Compensation Dereverberation

'iterature(

/. Ear!8 ;. artin+ ^Digital &peec Transmission^8 ile!8 2##0.;abiner8 &cafer+ ^Digital /rocessing of &peec &ignals^8 /rentice6@all8 S)ic*er8 astl+^/s!coacoustics^8 &pringer.I &ignal /rocessing Letters8

ttp+))).signalprocessingsociet!.orgpublicationsperiodicalsletters.I Transactions on Audio8 &peec and Language /rocessing8ttp+))).signalprocessingsociet!.orgpublicationsperiodicalstaslp.



Information-

Do.nloads( ttp+))).ant.uni6bremen.deencoursessasp




http://www.signalprocessingsociety.org/publications/periodicals/letters/http://www.signalprocessingsociety.org/publications/periodicals/taslp/http://www.signalprocessingsociety.org/publications/periodicals/letters/http://www.signalprocessingsociety.org/publications/periodicals/taslp/


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02

,tochastic ,imulation of Data 3et.orks and Their )rotocols

0esponsible( /rof. Dr. Carmelita 3Krg'ecturer( /rof. Dr. Carmelita 3Krg Dr. Ri Li

Aim(

&tocastic &imulation of Data (et)or*s and Teir /rotocols is an independent one semestercourse )ic give !ou a basic understanding of Discrete vent &imulation for Data (et)or*sand an overvie) o

Course Descriptions-CIT IAE

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Transcript of Course Descriptions-CIT IAE