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Course Catalog

Study Program WiSe 2021/2022

Space Sciences and Technologies (Space-ST)

General Information

Course numberTitle of eventLecturer
Welcome of New Students in Space Sciences and Technologies (in English)
Welcome of new students in Space Sciences and Technologies

Lecture (Teaching)

Additional dates:
Tue. 12.10.21 11:00 - 12:00 NW1, S1360
Prof. Dr. Annette Ladstätter-Weißenmayer
WiSe 2021/22, FB1, M.Sc. Space ST, Safety Training incl. Fire Drill (in English)
Safety Training incl. Fire Drill

Blockveranstaltung (Teaching)

Additional dates:
Wed. 03.11.21 08:00 - 10:00 NW 1 /Hörsaal 1 (H0020)
Wed. 03.11.21 09:00 - 11:00 Fire Drill in the Emmy-Noether-Str

Students attending a laboratory courses may only do so after joining in the safety training with fire drill. Participation in the one-time exercise is therefore a compulsory event for all students concerned.

Update from 24.09.2021
According to the university' s corona regulations, the event will consider the 3G rule. Therefore, participation is only possible with a corresponding proof - vaccinated, tested or recovered - which must be shown at the entrance to the building. Students who need a test, please do it one day before.

The entrance starts one hour before the event begins. Please be there on time for the start at 8 o'clock.

The following fire drill will take place at the practice area in the Emmy-Noether-Strasse behind the SFG building in groups of no more than 100 people. The group formation will take place in the lecture hall after the presentation. Because the exercise will be outside, please remember to wear weatherproof shoes and clothing.

Detailed information about the current Corona hygiene and safety rules at the University of Bremen can be seen under the following link: https://www.uni-bremen.de/informationen-zur-corona-pandemie/fragen-antworten/informationen-fuer-studierende-und-studienanfaengerinnen

Please check StudIp again shortly before the event for the latest news.

Mihaela Gianina Torozan

Foundations (Compulsory Module)

30 cp
Course numberTitle of eventLecturer
01-01-03-AMMDA-VApplied Mathematical Methods and Data Analysis (in English)

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Fri. 10:00 - 12:00 NW1 H 1 - H0020 (2 Credit hours) Vorlesung
weekly (starts in week: 1) Fri. 12:00 - 14:00 NW1 H 1 - H0020 (2 Credit hours) Übungen
Prof. Dr. Michail Vrekousis
01-01-03-AtPhy-VAtmospheric Physics (in English)

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 NW1 S1360 (2 Credit hours) Vorlesung
weekly (starts in week: 1) Mon. 10:00 - 12:00 NW1 S1360 (2 Credit hours) Übungen in Gruppen
weekly (starts in week: 1) Mon. 10:00 - 12:00 NW1 S3032 (PEP Raum) Übungen in Gruppen
weekly (starts in week: 1) Mon. 12:00 - 13:00 NW1 S1270 Übungen in Gruppen
weekly (starts in week: 1) Mon. 12:00 - 13:00 NW1 S1330 Übungen in Gruppen
Prof. Dr. John Philip Burrows
01-15-03-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 Credit hours)
Prof. Dr. Kai Michels
01-29-03-ComSp-VCommunication Technologies for Space (in English)
Communication Technologies (for Space)

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 NW1 S1260 (2 Credit hours)
weekly (starts in week: 1) Thu. 14:00 - 16:00 NW1 S1260 (2 Credit hours)

Parts of the exercise will be held as a seminar (dates and time slots upon agreement with the students).

Dr. Carsten Bockelmann
01-29-03-SEM-VScience and Exploration Missions (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Wed. 08:00 - 10:00 NW1 S1270 (2 Credit hours)
Prof. Dr. Claus Lämmerzahl
Dr. Marco Scharringhausen, Dipl.-Math.
01-29-03-SpE-VSpace Electronics (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Mon. 14:00 - 17:00 NW1 H 2 - W0020 (3 Credit hours)
Prof. Dr. Alberto Garcia-Ortiz

Remote Sensing and Communication (Compulsory Module)

27 cp during semesters 2 and 3
Course numberTitle of eventLecturer
01-29-03-CNSp-VCommunication Networks for Space (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue. 13:00 - 16:00 (3 Credit hours) NW1, N2250
Prof. Dr. Anna Förster
Dr. Andreas Könsgen
Dr. Asanga Udugama
01-29-03-GG-VGeodesy and Gravity (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 NW1 N3310 (2 Credit hours)
Prof. Dr. Claus Lämmerzahl
01-29-03-LSPA-VSpace Lab 2 (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Mon. 14:00 - 18:00 (4 Credit hours)
Prof. Dr. Anna Förster
Dr. Andreas Könsgen
Dr. Dirk Wübben
Prof. Dr. Kai Michels
Dr. Carsten Bockelmann

Physics for Space Observations (PSO)

Compulsory

12 cp
Course numberTitle of eventLecturer
01-01-03-AtA-VAtmospheric Aerosols - cancelled (in English)

Lecture (Teaching)

As a replacement for the module Atmospheric Aerosols in the winter semester 2021/2022, students of Space-ST, specialization Physics for Space Observations, choose either: 01-01-03-CliS2-V Climate System II (3CP) or 01-01-03-GCC-V Global Carbon Cycle (3CP) or 01-01-03-MRS-V Microwave Remote Sensing (3CP) from the section "Options"

N. N.
01-01-03-AtCM1-VAtmospheric Chemistry Modelling: Part 1 (Theory) (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 8) Thu. 10:00 - 12:00 NW1 S3032 (PEP Raum) (1.5 Credit hours) Vorlesung
weekly (starts in week: 8) Thu. 12:00 - 14:00 NW1 S3032 (PEP Raum) (0.5 Credit hours) Übungen

This course has 2 semester weekly hours (1,5x lecture + 0,5 example classes). The course will start on 09 December 2021.

Prof. Dr. Michail Vrekousis

Options

Students of PSO choose one of the following courses:
3 cp
Course numberTitle of eventLecturer
01-01-03-CliS2-VClimate System II (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 NW1 S3032 (PEP Raum) (2 Credit hours) Vorlesung
Prof. Dr. Gerrit Lohmann, Dipl.-Phys.
Dr. Martin Werner, Dipl.-Phys. (LB)
01-01-03-GCC-VGlobal Carbon Cycle (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 NW1 S1270 (2 Credit hours) Vorlesung
Dr. rer. nat. Christoph Völker (LB)
01-01-03-MRS-VMicrowave Remote Sensing (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Thu. 15:00 - 16:30 NW1 N3310 (1.5 Credit hours) Vorlesung
weekly (starts in week: 1) Thu. 16:30 - 17:00 NW1 N3310 (0.5 Credit hours) Übungen
Dr. Gunnar Spreen
Dr. Christian Melsheimer (LB)

Information Technologies for Space (ITS)

Options

Students select two modules out of three during semesters 2 and 3.
12 cp.
Course numberTitle of eventLecturer
01-15-03-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 NW1 S1360 (2 Credit hours)
weekly (starts in week: 1) Fri. 08:00 - 10:00 NW1 H 3 - W0040/W0050 (2 Credit hours)
Prof. Dr. Alberto Garcia-Ortiz

Elective Modules (PSO and ITS)

This folder contains elective modules for both specialization subjects: PSO and ITS
9 cp
Course numberTitle of eventLecturer
01-01-03-Dyn1-VDynamics I (in English)

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 NW1 S1360 (2 Credit hours) Vorlesung
weekly (starts in week: 1) Wed. 16:00 - 18:00 NW1 S1360 (2 Credit hours) Übungen
Prof. Dr. Thomas Jung
01-15-03-InS(a)-VIntegrated Circuits (in English)

Lecture (Teaching)
ECTS: 6 (4)

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 NW1 H 2 - W0020 (2 Credit hours)
weekly (starts in week: 1) Tue. 12:00 - 14:00 NW1 H 1 - H0020 (2 Credit hours)
Prof. Dr.-Ing. Steffen Paul
01-29-03-ML-VMachine Learning for Swarm Exploration (in English)

Lecture (Teaching)
ECTS: 3

Block-Course

Elective course for M.Sc. CIT, Electrical Engineering & Information Technology and Space-ST. Block course at the end of the lecture period in February 2022.
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)
09-M52-03-01Philosophy of Cosmology, Space and Space Travel [Digital] (in English)

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00 (2 Credit hours)

Course content:

In this seminar, we shall study foundational, historical and philosophical questions of cosmology. The syllabus comprises topics and concepts such as (A) key elements of the cosmological standard model and anomalies within it; (B) cosmology as a science and how contemporary research benefits from an awareness of its historical development; (C) further epistemological and methodological questions regarding, for instance, the heavy reliance on strong idealisations and extrapolations in cosmology.
Formally, no prerequisite knowledge in either cosmology or philosophy is needed (albeit desirable). Diligent preparation of the weekly required reading, and continuous active participation are obligatory for successfully completing this course (See below for the details regarding the course requirements/Leistungsnachweis).

Learning outcome/learning goals:

• Basic knowledge of cosmology.
• Knowledge of basic relevant notions from the philosophy of the natural sciences (natural law, space, time, infinity, …)
• Basic insights into the aims of scientific inquiry and the generation of scientific knowledge (by means of examples from the history of cosmology)

Preparatory literature:

- P. Coles. Cosmology – a Very Short Introduction. Oxford University Press, 2013
- C. Smeenk & G. Ellis. Philosophy of Cosmology. Stanford Encyclopedia of Philosophy, 2017, https://plato.stanford.edu/entries/cosmology/

Patrick Dürr
Dr. Eva Höne
Prof. Dr. Claus Lämmerzahl
Prof. Dr. Dr. Norman Sieroka