Skip to content

Course Catalog

Study Program WiSe 2019/2020

Communication and Information Technology, M.Sc.

Show courses: all | in english | for older adults

Projects

Course numberTitle of eventLecturer
01-15-03-PDPC-SSelected Topics in Communications and Signal Processing (in English)
Selected Topics in Digital Signal Processing and Communications
Ausgewählte Themen der Nachrichtentechnik und Signalverarbeitung

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Tue. 14:00 - 16:00 NW1 S1270 (2 Credit hours) Seminar
Prof. Dr. Armin Dekorsy
Dr.-Ing. Dirk Wübben
01-15-03-Projekt-FörsterProjektarbeit im Master "Sustainable Communication Networks" (in English)
Project: Sustainable Communication Networks

Forschungspraktikum (Teaching)
ECTS: 18

Das Projekt bereitet darauf vor, komplexere Problemstellungen mit Praxis- und Forschungsbezug, eingebunden in die fachliche Umgebung eines Teams, zu bearbeiten und Lösungen zu entwickeln.
Neben der reinen Fachkompetenz werden dabei auch sog. „soft skills“ trainiert und entwickelt, wie:
  • Zusammenarbeit im Team
  • Verknüpfung unterschiedlicher interdisziplinärer Teilaspekte
  • Entwicklung und Verteidigung eigener Lösungskonzepte
  • Anwendung erlernter Grundlagen zur Lösung praktischer Aufgabenstellungen

Prof. Dr. Anna Förster
01-15-03-Projekt-SchneiderProjektarbeit im Master: Antennen und Wellenleiter für HF-Systeme: Entwurf, Simulation und prototypische Realisierung (in English)
Antennas and Waveguides for RF-Systems: Design, Simulation and Prototypical Realization
Projektarbeit

Forschungspraktikum (Teaching)
ECTS: 18
Prof. Dr.-Ing. Martin Schneider
01-15-03-Projekt-VellekoopProjektarbeit im Master: Microfluidic Devices, Sensoren und Anwendungen (in English)
Microfluidic devices, sensors, and applications
Projektarbeit

Forschungspraktikum (Teaching)
ECTS: 18

Die konkrete Aufgabenstellung wird individuell vereinbart.
Informationen: http://www.imsas.uni-bremen.de/fileadmin/images/education/Liste_moeglicher_Studentenarbeiten.pdf

Prof. Dr. Michael Vellekoop

Sommersemester

Compulsory Modules

Course numberTitle of eventLecturer
Fire Drill (in English)
Brandschutzübung

Lecture (Teaching)

Additional dates:
Fri. 08.11.19 08:00 - 11:00 HS 2010 (Großer Hörsaal)

participation is mandatory
08:00 am - 09:00 am Lecture
09:00 am - 11:00 am Practical fire protection exercises outdoors, so please wear weatherproof clothing and sturdy shoes!

Dr. Maxie Hesse

Wintersemester

Compulsory Modules

Course numberTitle of eventLecturer
Fire Drill (in English)
Brandschutzübung

Lecture (Teaching)

Additional dates:
Fri. 08.11.19 08:00 - 11:00 HS 2010 (Großer Hörsaal)

participation is mandatory
08:00 am - 09:00 am Lecture
09:00 am - 11:00 am Practical fire protection exercises outdoors, so please wear weatherproof clothing and sturdy shoes!

Dr. Maxie Hesse
01-15-03-Ant-VAntennas (in English)

Lecture (Teaching)
ECTS: 4/3

Dates:
weekly (starts in week: 1) Mon. 13:00 - 16:00 NW1 S1270 (3 Credit hours) Vorlesung und Übung
Prof. Dr.-Ing. Martin Schneider
01-15-03-CNS-VCommunication Networks: Systems (in English)
Communication Networks - Systems
Kommunikationsnetze: Systeme

Lecture (Teaching)

Dates:
weekly (starts in week: 1) Wed. 10:00 - 13:00 NW1 H 3 - W0040/W0050 (3 Credit hours) Vorlesung und Übung
Prof. Dr. Anna Förster
Dr. Andreas Könsgen (LB)
Dr. Asanga Udugama (LB)
01-15-03-ComT-VCommunication Technologies (in English)
Nachrichtentechnik

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Fri. 10:00 - 13:00 NW1 S1360 (3 Credit hours) Vorlesung und Übung
Prof. Dr. Armin Dekorsy
01-15-03-DSP-VAdvanced Digital Signal Processing (in English)
Digitale Signalverarbeitung (Fortgeschrittene)

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Mon. 10:00 - 13:00 NW1 S1270 (3 Credit hours) Vorlesung und Übung

Dieser Kurs knüpft an das Modul Digitale Signalverarbeitung an und behandelt fortgeschrittene Themen der digitalen Signalverarbeitung wie die diskrete Fouriertransformation (DFT), ihre Anwendungen, lineare Schätzprobleme und die Spektralschätzung.

Prof. Dr. Armin Dekorsy

Elective Modules

Course numberTitle of eventLecturer
01-15-03-ATDC-VAdvanced Topics in Digital Communications (in English)
Spezielle Methoden der digitalen Datenübertragung

Lecture (Teaching)
ECTS: 4

Dates:
fortnightly (starts in week: 3) Wed. 14:00 - 16:00 External location: N2420 (1 Credit hours) Übung
weekly (starts in week: 1) Thu. 10:00 - 12:00 NW1 S1360 (2 Credit hours) Vorlesung

Übungen nach Vereinbarung

Dr.-Ing. Carsten Bockelmann
01-15-03-CCod2-VChannel Coding II (in English)
Kanalcodierung II

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 NW1 S1330 (2 Credit hours)
fortnightly (starts in week: 2) Wed. 14:00 - 16:00 (1 Credit hours) Übung
Dr.-Ing. Dirk Wübben
01-15-03-CTh1-VControl Theory I / Regelungstheorie I (in English)

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Thu. 08:00 - 11:00 NW1 H 3 - W0040/W0050 (3 Credit hours) Vorlesung und Übung
Prof. Dr. Kai Michels
01-15-03-CTh3-VControl Theory III / Regelungstheorie III (in English)

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Tue. 14:00 - 17:00 NW1 N3130 (3 Credit hours) Vorlesung und Übung
Prof. Dr. Kai Michels
Dr. Jochen Schüttler, Dipl.-Ing.
01-15-03-MST-VMicrosystems (in English)

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Fri. 10:00 - 12:00 NW1 H 2 - W0020 (2 Credit hours)

Übung am Ende des Semsters als Blockveranstaltung. Details und Datum werden zu Beginn des Semesters besprochen.

Walter Lang
01-15-03-NGCN-VNext Generation Cellular Networks (in English)

Lecture (Teaching)
ECTS: 4

Additional dates:
Fri. 07.02.20 - Sat. 08.02.20 (Fri., Sat.) 09:00 - 17:00 NW1 S1260
Fri. 14.02.20 - Sat. 15.02.20 (Fri., Sat.) 09:00 - 17:00 NW1 S1260

Blockkurs im Februar 2020 mit Dr. Stefan Brueck

Prof. Dr. Armin Dekorsy
Stefan Brück (LB)
01-15-03-NLS-VNichtlineare Systeme - (Alter Titel: Dynamische Systeme I) (in English)
Nonlinear Systems

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Wed. 08:00 - 11:00 NW1 S1360 (3 Credit hours) Vorlesung und Übung
Prof. Dr. Kai Michels
01-15-03-OpT-VOptimierungstheorie (in English)
Optimization Theory

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 NW1 N3310 (2 Credit hours)
weekly (starts in week: 1) Thu. 08:00 - 10:00 NW1 N3310 (2 Credit hours)
Dr. Dagmar Peters-Drolshagen
01-15-03-Pat-VLectures on Intellectual Property (IP): Patents and further protective rights (in English)

Lecture (Teaching)
ECTS: 4

Dates:
fortnightly (starts in week: 1) Tue. 16:00 - 19:00 NW1 H 3 - W0040/W0050

Additional dates:
Tue. 05.11.19 16:00 - 19:00 NW1 H 3 - W0040/W0050
Tue. 19.11.19 16:00 - 19:00 NW1 H 3 - W0040/W0050
Tue. 03.12.19 16:00 - 19:00 NW1 H 3 - W0040/W0050
Tue. 17.12.19 16:00 - 19:00 NW1 H 3 - W0040/W0050

Patent Law, Design Law, Trademarks + vivid examples of the daily work of a patent attorney

Dr. Matthias Hoener, Dipl.-Phys. (LB)
01-15-03-Rob2-VRobotics II (in English)

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Tue. 16:00 - 19:00 NW1 S1270 (3 Credit hours) Vorlesung und Übung
Dr. Danijela Ristic-Durrant
01-15-03-SAS2-VSpeech and Audio Signal Processing II (in English)

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Fri. 14:00 - 17:00 NW1 H 3 - W0040/W0050 (3 Credit hours) Vorlesung und Übung
Dr. Stefan Goetze (LB)
Prof. Dr. Armin Dekorsy
01-15-03-SoC-VSystems-on-Chip: Architectures and Design Methods (in English)

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Thu. 12:00 - 14:00 NW1 N3130 (2 Credit hours)
Prof. Dr. Alberto Garcia-Ortiz
01-15-03-SSc-VSensor Science (in English)

Lecture (Teaching)
ECTS: 4

Dates:
weekly (starts in week: 1) Thu. 14:00 - 17:00 NW1 S1270 (3 Credit hours) Vorlesung und Übung

Anzahl der Teilnehmer ist begrenzt.

Prof. Dr. Michael Vellekoop
01-15-03-StS-VNetwork Simulation - ENTFÄLLT im WiSe 19/20 - (in English)
previous title: Stochastic Simulation of Communication Networks and their Protocols

Lecture (Teaching)
ECTS: 4

The goal of this lecture is to understand the design and programming of network simulators as well as the statistical evaluation of the results. The lecture provides a large amount of hands-on exercises where you will work with the OMNET simulator. We look at different types of networks, non-technical ones such as the spreading of biological viruses, traditional Internet-based networks and mobility-based opportunistic networks. Finally, you will work on a small project where you have to solve a given problem by means of simulations.

We expect from you some programming experience, preferably with C or C++.

After the lecture you will be able to design and develop simulation models of current and future networking technologies and identify resp. tackle performance issues in such networks.

Prof. Dr. Anna Förster
Dr. Andreas Könsgen (LB)
Dr. Asanga Udugama (LB)
01-29-03-ML-VMachine Learning for Swarm Exploration (in English)

Lecture (Teaching)
ECTS: 3

Additional dates:
Mon. 10.02.20 - Fri. 14.02.20 (Mon., Tue., Wed., Thu., Fri.) 09:00 - 17:00 NW1 S1270

Elective course for M.Sc. CIT, Electrical Engineering & Information Technology and Space-ST. Block course at the end of the lecture period from 10 through 14 February 2020.
Contents:
• Why swarm exploration – some motivational examples with applications in space and on Earth
• Preliminaries: selected mathematical formalism (vector spaces, matrices, representation and approximations in vector spaces, least squares, convex optimization)
• Recap of probability and statistics (calculus of probabilities, moments, Bayesian theory)
• Machine learning tools (supervised learning, linear regression, kernel methods, neural networks, impact of regularization, sparsity and compressed sensing)
• Models for multi-agent networks (connected network models, distributed inference strategies)
• Distributed machine learning and exploration (models for static spatial regression, information-theoretic exploration approaches, Bayesian sequential methods for learning and exploration)
• Discussion of several practical examples of swarm exploration solutions (cooperative localization, information-driven sparse mapping of magnetic fields, exploration of sparse gas sources using a swarm of mobile robots)
As outcome, the students should be able to:
• Understand key concepts in distributed information processing over networks,
• Explain and apply mathematical tools needed to implement classical machine learning algorithms in distributed settings

Dmitriy Shutin (LB)
Prof. Dr. Armin Dekorsy
01-95-03-PSc-VPresenting Science (in English)

Lecture (Teaching)
ECTS: 2

The lecture gives an insight into the requirements of the oral and visual presentation of (scientific) work and results.
Students will be required to present the content of a scientific publication as final exam.

Walter Lang

Laboratories

Course numberTitle of eventLecturer
01-15-03-IKT1-PPraktikum IKT I (in English)
Information and Communication Technology Laboratory

Practical (Teaching)
ECTS: 6/3

Dates:
weekly (starts in week: 2) Tue. 14:00 - 18:00 (2 Credit hours) Placeholder used for all lab arrangements (individual labs, common lab dates, etc.)

Additional dates:
Tue. 15.10.19 14:00 - 16:00 N2420
Tue. 05.11.19 14:00 - 18:00 N2420
Tue. 10.12.19 14:00 - 18:00 N2420
Tue. 14.01.20 14:00 - 18:00 N2420
Tue. 28.01.20 14:00 - 18:00 N2420

The date for the initial organisational meeting of this lab, including grouping, will be advertised shortly. Room NW1 N1250.

The ICT lab consists of multiple parts, which are organized by two departments: the RF department and the dept. of communications engineering. Please refer to the individual departments for further information:

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

Prof. Dr. Armin Dekorsy
Dr.-Ing. Carsten Bockelmann
Prof. Dr.-Ing. Martin Schneider
Dipl.-Ing. Andre Meyer
Dr.-Ing. Dirk Wübben

Year-round electives

Course numberTitle of eventLecturer
01-15-00-STSCN-SSelected Topics in Sustainable Communication Networks (in English)

Seminar (Teaching)
ECTS: 2

The students will learn about various research fields and applications of communication networks, which target the sustainable development goals (SDG) of the United Nations. The students will individually explore a given topic (with the help of research publications or other scientific materials) and prepare a presentation which will be discussed in class with the lecturer and the peers.

Prof. Dr. Anna Förster