Course Catalog

Study Program WiSe 2023/2024

Communication and Information Technology, M.Sc.

Core Modules

Core Modules are compulsory.
Course numberTitle of eventLecturer
01 Ref02-SiSchuenglischsprachige Sicherheitsschulung mit Feuerlöschübung (Ref02) (in English)
Safety Training including Fire Drill
Sicherheitsschulung mit Feuerlöschübung für Erstsemester-Studierende der Fachbereiche FB 01, 04, 08

Blockveranstaltung (Teaching)

Additional dates:
Fri. 27.10.23 13:45 - 15:00 HS2010 (Großer Hörsaal)
Fri. 27.10.23 15:00 - 18:00 Emmy-Noether-Straße

lecture: HS 2010 (großer Hörsaal)
practical fire drill: Emmy-Noether-Str. behind the SFG Building

Mihaela Gianina Torozan
01-15-03-IKT1-PPraktikum IKT I (in English)
Information and Communication Technology Laboratory

Practical training (Teaching)
ECTS: 3

Additional dates:
Tue. 24.10.23 14:15 - 16:00 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. Carsten Bockelmann
Prof. Dr.-Ing. Martin Schneider
Dr. Dirk Wübben
01-ET-MA-ADSP-VAdvanced Digital Signal Processing (in English)
Digitale Signalverarbeitung (Fortgeschrittene)

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Mon. 10:00 - 13:00 NW2 A2235 (3 Teaching hours per week)
weekly (starts in week: 1) Thu. 10:00 - 12:00 NW2 A2235 (2 Teaching hours per week)

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
Dr. Carsten Bockelmann
01-ET-MA-CNS(a)-VCommunication Networks (in English)
ehem. Titel: Communication Networks: Systems

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Wed. 09:00 - 12:00 GW2 B1400 NUR Mi. - So. NW2 A2235 (3 Teaching hours per week)
Prof. Dr. Anna Förster
Dr. Andreas Könsgen (LB)
01-ET-MA-NetSimT-VNetwork Simulation Theory (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue. 10:00 - 13:00 NW2 A4090 (3 Teaching hours per week)
Prof. Dr. Anna Förster
Dr. Asanga Udugama (LB)

Elective Modules

Course numberTitle of eventLecturer
01-ET-MA-ACC-VAdvanced Channel Coding (in English)
ehem. Titel: Channel Coding II

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 (2 Teaching hours per week)
weekly (starts in week: 1) Tue. 08:00 - 10:00 (2 Teaching hours per week)

ONLINE

Dr. Dirk Wübben
01-ET-MA-Ant(a)-VAntennas and Propagation (in English)
ehem. Titel: "Antennas"

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 NW2 A4090 (2 Teaching hours per week)
weekly (starts in week: 1) Thu. 12:00 - 14:00 NW2 A4090 (2 Teaching hours per week)

Additional dates:
Mon. 19.02.24 13:30 - 16:30 NW1 N3130
Prof. Dr.-Ing. Martin Schneider
01-ET-MA-ComT(a)-VCommunication Technologies (in English)
Nachrichtentechnik

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Fri. 10:00 - 13:00 NW2 A4090 (3 Teaching hours per week)
Prof. Dr. Armin Dekorsy
01-ET-MA-CTh1(a)-VControl Theory 1 / Regelungstheorie 1 (in English)

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Thu. 08:00 - 12:00 NW1 H 2 - W0020 (4 Teaching hours per week)
Prof. Dr. Kai Michels
01-ET-MA-CTh3(a)-VControl Theory 3 / Regelungstheorie 3 (in English)

Lecture (Teaching)
ECTS: 3 (4)

Dates:
weekly (starts in week: 1) Tue. 14:00 - 16:00 NW1 N3130 (2 Teaching hours per week)
Prof. Dr. Kai Michels
Dr.-Ing. Dennis Pierl ((LB))
01-ET-MA-DiTe(a)-VDigital Technology / Digitaltechnik (in English)
Digital Technology

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 GW1 B0100 (2 Teaching hours per week)
weekly (starts in week: 1) Fri. 08:00 - 10:00 NW1 H 3 - W0040/W0050 (2 Teaching hours per week)

Additional dates:
Mon. 11.03.24 12:00 - 14:15 NW1, H1
Prof. Dr. Alberto Garcia-Ortiz
01-ET-MA-ML-VMachine Learning for Swarm Exploration (in English)

Lecture (Teaching)
ECTS: 3

Additional dates:
Mon. 05.02.24 - Thu. 08.02.24 (Mon., Tue., Wed., Thu.) 09:00 - 17:00 NW1 H 3 - W0040/W0050

Block-Course (during the semester break)

Elective course for M.Sc. CIT, Electrical Engineering & Information Technology and Space-ST.

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

Prof. Dr. Armin Dekorsy
Dmitriy Shutin ((LB))
01-ET-MA-MST(a)-VMicrosystems (in English)

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Fri. 08:00 - 12:00 GW2 B1820 (4 Teaching hours per week)
Björn Lüssem
01-ET-MA-NetSimPNetwork Simulation Project (in English)

Forschungspraktikum (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue. 10:00 - 13:00 (3 Teaching hours per week)
Prof. Dr. Anna Förster
Dr. Asanga Udugama
01-ET-MA-NGCN(a)-VNext Generation Cellular Networks (in English)
Blockseminar at the end of the semester

Lecture (Teaching)
ECTS: 3

Additional dates:
Thu. 01.02.24 - Fri. 02.02.24 (Thu., Fri.) 09:00 - 17:00 W1180
Fri. 09.02.24 - Sat. 10.02.24 (Fri., Sat.) 09:00 - 17:00 NW1 H 3 - W0040/W0050

Mobile communication plays a significant role in our daily life. Over the last three decades, mobile applications have been tremendously enhanced from voice-only over mobile broadband to applications for the mobile internet. Currently, the next generation of cellular systems, the so-called '5th Generation (5G)' is developed and the first commercial 5G networks are deployed since 2019. 5G will play an outstanding role for the Internet of Things and will redefine a wide range of industries by enabling new use cases. Meanwhile, the research for further enhancements of 5G, called 5G-Advanced, and even 6G systems has started.

This lecture will provide the technical foundation of 5G and 6G mobile communication systems. In the first part of the lecture, the fundamental concepts of the network architecture, the radio access network, and the PHY & MAC layer technologies are covered. The second part of the lecture focuses on selected topics like machine-type communication, device-to-device communication, and artificial intelligence & machine learning. Also, an outlook to future research for 6G systems will be provided. First deployments of 5G-Advanced and 6G are expected in 2026 and 2030, respectively.

The lecture will be continuously updated shifting the focus from 5G-Advanced to 6G systems over the next years.

Prof. Dr. Armin Dekorsy
01-ET-MA-NLS(a)-VNichtlineare Systeme (in English)
Nonlinear Systems

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Wed. 08:00 - 12:00 NW1 H 3 - W0040/W0050 NW1 N1250 (4 Teaching hours per week)
Prof. Dr. Kai Michels
01-ET-MA-PAut(a)-VProcess Automation in Power Grids (in English)
ehem. Tital: Process Automation

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 NW1 H 2 - W0020 (2 Teaching hours per week)
weekly (starts in week: 1) Tue. 08:00 - 10:00 GW2 B1410 (2 Teaching hours per week)

Additional dates:
Thu. 28.03.24 09:00 - 13:00 NW1 H 1 - H0020
Prof. Dr. Johanna Myrzik
01-ET-MA-QTQuantum Technologies for Electrical Engineers (in English)

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 NW1 N1250 (2 Teaching hours per week)
weekly (starts in week: 1) Fri. 14:00 - 16:00 NW2 A4094 (2 Teaching hours per week)
Prof. Dr. Claus Lämmerzahl
01-ET-MA-SoC(a)-VSystems-on-Chip: Architectures and Design Methods (in English)

Lecture (Teaching)
ECTS: 6 (4)
Prof. Dr. Alberto Garcia-Ortiz
Dr. -Ing. Amir Najafi
01-ET-MA-SSc(a)-VSensor Science (in English)

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Thu. 14:00 - 17:00 NW1 N3130 (3 Teaching hours per week)

Anzahl der Teilnehmer ist begrenzt.

Prof. Dr. Michael Vellekoop
01-ET-MA-UGer-SUnderstanding Germany (in English)

Seminar (Teaching)
ECTS: 3 (2)

Additional dates:
Mon. 05.02.24 09:00 - 12:00 NW1 N3130
Wed. 07.02.24 09:00 - 12:00 NW1 N3130
Fri. 09.02.24 09:00 - 12:00 NW1 N3130
Mon. 12.02.24 09:00 - 12:00 NW1 N3130
Wed. 14.02.24 09:00 - 12:00 NW1 N3130
Fri. 16.02.24 09:00 - 12:00 NW1 N3130
Mon. 19.02.24 09:00 - 12:00 NW1 N3130
Wed. 21.02.24 09:00 - 12:00 NW1 N3130
Fri. 23.02.24 09:00 - 12:00 NW1 N3130

Block-course towards the end of the lecture period.

Björn Lüssem
Andika Asyuda
Thomas Neumann ((LB))

Projects

Course numberTitle of eventLecturer
01-ET-MA-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 NW2 A4090 (2 Teaching hours per week)
Prof. Dr. Armin Dekorsy
Dr. Dirk Wübben