. "Space System engineering"@en . . "Aerospace engineering"@en . . "Satellite Engineering"@en . . "Computer Science"@en . . "Astronomy"@en . . "English"@en . . "Atmospheric Science"@en . . "Mathematics"@en . . "Law"@en . . "Mechanical engineering"@en . . "Economics"@en . . "Applied mathematical methods and data analysis"@en . . "6" . "The course lectures cover the theoretical basis of the following subject areas:\n• Essential linear algebra (matrices, eigenvalues, linear systems of equations)\n• Essential calculus (differentiation, integration, Taylor series)\n• Essential statistics (error analysis, correlation, significance)\n• Essential optimization (linear and nonlinear regression, parameter estimation, \ngradient methods)\n• Essential differential equations (ordinary and partial differential equations, phase \ndiagrams)\nIn the example classes students will learn how to apply this knowledge both analytically \nand numerically. In order to facilitate the latter, students will learn the basics of the Python programming language and how to use Python to solve real-world problems \nfrom the course’s topic areas\n\nOutcome:\nBasic knowledge in mathematical methods for data analysis and their application using \nthe Python programming language." . . "Presential"@en . "TRUE" . . "Atmospheric physics"@en . . "6" . "The origin of the solar system and the earth’s atmosphere; the evolving atmospheric \r\ncomposition; the physical parameters determining conditions in the atmosphere (e.g. \r\ntemperature, pressure, and vorticity); the laws describing electromagnetic radiation; the \r\ninteraction between electromagnetic radiation and matter (absorption emission and \r\nscattering); atmospheric radiative transport; radiation balance, climate change;\r\natmospheric thermodynamics and hydrological cycle; aerosols and cloud physics; an \r\nintroduction into atmospheric dynamics (kinematics, circulation etc.).\n\nOutcome:\nAn adequate understanding of the fundamentals of atmospheric physics. This \r\naddresses a) gaining an understanding the laws of physics, which determine the \r\nbehaviour of the earth system comprising the sun the atmosphere and earth surface, b) \r\nlearning the ability to apply the laws of physics to calculate parameters and forecast \r\nconditions in the atmosphere. This knowledge is required for subsequent advanced courses in the M.Sc. programmes. In later life, these learning outcomes are essential \r\nfor undertaking a) research in atmospheric, environmental and climate science Earth \r\nobservation and remote sensing form ground based ship, aircraft and space based\r\ninstrumentation, b) being employment in earth observation, earth science, \r\nmeteorology, industry, or governmental and space agencies." . . "Presential"@en . "TRUE" . . "Communication technologies (for space)"@en . . "6" . "• Introduction to communications: history of wireless communication and space \r\ncommunication\r\n• Basic concepts and terminology in communications\r\n• Recap of Fourier transformation\r\n• Introduction to system theory (signals, linear time invariant systems, convolution, \r\nstatistic process, etc.)\r\n• Passband-Baseband transformation and receiver concepts\r\n• Wireless channel basics (linear and non-linear distortions, noise, Nyquist, etc.)\r\n• Analog modulation\r\n• Basics in sampling theory and discrete systems and signals\r\n• Digital modulation\n\nOutcome:\nAs outcome, the students should be able to:\r\n• explain basic communications concepts and theoretical foundations;\r\n• apply mathematical tools and concepts relevant in communications;\r\n• explain and apply analog and digital modulation." . . "Presential"@en . "TRUE" . . "Control theory 1"@en . . "6" . "• Definition and features of state variables\r\n• State space description of linear systems\r\n• Normal forms\r\n• Coordinate transformation\r\n• General solution of a linear state space equation\r\n• Lyapunov stability\r\n• Controllability and observability\r\n• Concept of state space control\r\n• Steady-state accuracy of state space controllers\r\n• Observer\r\n• Controller design by pole placement\r\n• Riccati controller design\r\n• Falb-Wolovitch controller design\n\nOutcome:\n• Understanding and handling of state space methodology\r\n• Design of state space controllers with different methods\r\n• Observer design" . . "Presential"@en . "TRUE" . . "Inverse methods and data analysis"@en . . "6" . "The use of new sensors and autonomous observing systems has produced a wealth of high-quality data in all branches of environmental and space science. These data contain important information about distributions, fluxes or reaction rates of key properties in the universe. Inverting the datasets, e.g., calculating the underlying concentrations, fluxes and rate constants from the data, is an important aspect of data analysis, and a wide range of numerical methods is available for this task. This course offers an introduction to linear inverse methods. Techniques for the solution of under- and overdetermined systems of linear equations will be covered in detail. Examples of such systems are (1) linear and non-linear regression, (2) curve fitting, (3) factor analysis, (4) diagnostic tomography, (5) remote sensing from airplanes or satellites, and (6) models of atmospheric, oceanic, and space circulation and biogeochemistry. Contrary to square linear systems that are easy to solve, in general, under- and overdetermined linear systems exhibit complications: (1) the numbers of equations and unknowns differ, and (2) coefficients and right-hand-side of the equations usually are derived from measurements and thus contain errors. Basic techniques from numerical mathematics that solve these problems will be presented and explained extensively using examples from different fields. Error analysis will be of major concern. The examples cover different aspects of environmental and space research and should benefit students from the Postgraduate Environmental Physics program and newly started Masters Degree in Space Sciences and Technologies, as well as students from other fields of physics and geophysics. A basic knowledge of linear algebra is required.\n\nOutcome:\n- Techniques for the optimal solution of under- and over determined systems of linear equations\r\n- Methods for calculating variances and covariances of the solutions\r\n- Concepts of resolution (in solution as well as data) and methods to calculate them\r\n- Practical examples and applications to test data sets from remote sensing of the atmosphere, earth, outer space, and celestial bodies, as well as oceanography" . . "Presential"@en . "TRUE" . . "Science and exploration missions"@en . . "3" . "Introduction to completed and planned space missions:\r\nExamples are (i) Gravity Probe A for testing the gravitational redshift, (ii) Gravity Probe \r\nB for testing the gravitomagnetic Schiff effect, (iii) Cassini for Saturn exploration and \r\ntesting the gravitational time delay, (iv) Pioneer for planetary exploration and testing \r\nthe gravitational field in the Solar system, (v) MICROSCOPE for testing the \r\nEquivalence Principle, (vi) LISA for searching for gravitational waves and the \r\ntechnology mission LISA pathfinder, (vii) GRACE and GRACE-FO for satellite based \r\ngeodesy, (viii) ACES on the ISS for testing relativity and establishing space-based\r\nmetrology, (ix) further missions testing Special and General Relativity using quantum \r\noptics, (x) asteroid and comet missions HAYABUSA and Rosetta. For each mission the \r\nrequirements on the payload technology, the spacecraft technology, and on the \r\nmission scenario will be derived.\n\nOutcome:\nParticipants are able to discuss science cases for space and exploration missions, \r\nmeasurement schemes and payload as well as technology requirements on payload \r\nand mission." . . "Presential"@en . "TRUE" . . "Space electronics"@en . . "3" . "• Radiation environments\n• MOS Device and radiation\n• Circuit Reliability basics\n• Single event effects on analog and digital circuits, memories\n• Displacement damage (DD) effects\n• Radiation hard device technologies and circuit design\n• Noise\n• gm/Id Method\n• Mismatch\n• Two pole opamps (OTA)\n• Feedback\n\nOutcome:\nAfter this course, students are able to:\n• describe and characterize noise in electronics circuits,\n• apply the gm/Id sizing method to design amplifier circuits for advance CMOS technologies,\n• deal with process variations and mismatch,\n• understand the frequency behaviour of amplifier circuits,\n• understand and size compensation networks,\n• use feedback to modify circuit characteristics,\n• understand the impact of radiation on the behavior of circuits,\n• design radition-hard circuits." . . "Presential"@en . "TRUE" . . "Mission design"@en . . "1.5" . "Availabe: General Module (Space Flight Theory) Description\n•Trajectory computation and space flight analysis\n•Basic principles for designing and analysing a space mission\n\nOutcome: General Module (Space Flight Theory) Outcomes\nStudents have knowledge/responsibilities in:\n•Space mission analysis and design (tools)\n•Orbital and attitude dynamics\n•Modeling approaches of space environment\n•Satellite system modeling (thermal, sensors, actuators)\n•Definitions and technical terms of space applications and optimization\n•Mathematical models and problem statements relating to space applications\n•Using mathematical software\n•Numerical solution of mathematical problems" . . "Presential"@en . "TRUE" . . "Mission analysis"@en . . "3" . "Availabe: General Module (Space Flight Theory) Description\n•Trajectory computation and space flight analysis\r\n•Basic principles for designing and analysing a space mission\r\n\nOutcome: General Module (Space Flight Theory) Outcomes\nStudents have knowledge/responsibilities in:\r\n•Space mission analysis and design (tools)\r\n•Orbital and attitude dynamics\r\n•Modeling approaches of space environment\n•Satellite system modeling (thermal, sensors, actuators)\r\n•Definitions and technical terms of space applications and optimization\r\n•Mathematical models and problem statements relating to space applications\r\n•Using mathematical software\r\n•Numerical solution of mathematical problems" . . "Presential"@en . "TRUE" . . "Trajectory optimization"@en . . "4.5" . "Availabe: General Module (Space Flight Theory) Description\n•Trajectory computation and space flight analysis\r\n•Basic principles for designing and analysing a space mission\r\n\nOutcome: General Module (Space Flight Theory) Outcomes\nStudents have knowledge/responsibilities in:\r\n•Space mission analysis and design (tools)\r\n•Orbital and attitude dynamics\r\n•Modeling approaches of space environment\n•Satellite system modeling (thermal, sensors, actuators)\r\n•Definitions and technical terms of space applications and optimization\r\n•Mathematical models and problem statements relating to space applications\r\n•Using mathematical software\r\n•Numerical solution of mathematical problems" . . "Presential"@en . "TRUE" . . "Design of space vehicles"@en . . "3" . "Availabe: General Module (Space Environment and Testing) Description\n•Space environment and vehicle specification needs\r\n•Design and development of space vehicles\r\n•Proof and product assurance\n\nOutcome: General Module (Space Environment and Testing) Outcomes\nStudents have knowledge/responsibilities in:\r\n•Space Environment and conditions of Satellites for scenarios close to Earth and in deep space\n•System design and analysis of launchers, satellites, landers, orbital systems\r\n•Multi-disciplinary interface relations between mission analysis, space flight \r\nmechanics, propulsion system, flight control, mechanical and thermal design\r\n•Ability of simplified modeling\r\n•Derivation of the essential dimensioning variables\r\n•Capability of system pre-design of space structures\r\n•Quality, reliability and risk\r\n•Influence of errors to costs\r\n•Methods to handle and control / Systems engineering\r\n•Influence to the development of Space technologies" . . "Presential"@en . "TRUE" . . "Product assurance and space technology"@en . . "3" . "Availabe: General Module (Space Environment and Testing) Description\n•Space environment and vehicle specification needs\r\n•Design and development of space vehicles\r\n•Proof and product assurance\n\nOutcome: General Module (Space Environment and Testing) Outcomes\nStudents have knowledge/responsibilities in:\r\n•Space Environment and conditions of Satellites for scenarios close to Earth and in deep space\n•System design and analysis of launchers, satellites, landers, orbital systems\r\n•Multi-disciplinary interface relations between mission analysis, space flight \r\nmechanics, propulsion system, flight control, mechanical and thermal design\r\n•Ability of simplified modeling\r\n•Derivation of the essential dimensioning variables\r\n•Capability of system pre-design of space structures\r\n•Quality, reliability and risk\r\n•Influence of errors to costs\r\n•Methods to handle and control / Systems engineering\r\n•Influence to the development of Space technologies" . . "Presential"@en . "TRUE" . . "Space environment and s/c qualification"@en . . "3" . "Availabe: General Module (Space Environment and Testing) Description\n•Space environment and vehicle specification needs\r\n•Design and development of space vehicles\r\n•Proof and product assurance\n\nOutcome: General Module (Space Environment and Testing) Outcomes\nStudents have knowledge/responsibilities in:\r\n•Space Environment and conditions of Satellites for scenarios close to Earth and in deep space\n•System design and analysis of launchers, satellites, landers, orbital systems\r\n•Multi-disciplinary interface relations between mission analysis, space flight \r\nmechanics, propulsion system, flight control, mechanical and thermal design\r\n•Ability of simplified modeling\r\n•Derivation of the essential dimensioning variables\r\n•Capability of system pre-design of space structures\r\n•Quality, reliability and risk\r\n•Influence of errors to costs\r\n•Methods to handle and control / Systems engineering\r\n•Influence to the development of Space technologies" . . "Presential"@en . "TRUE" . . "Space systems engineering/concurent engineering"@en . . "3" . "Availabe: General Module (Satellite Systems) Description\n•Thermal control at space vehicles\r\n•Analysis of space systems\r\n•Structural design and engineering\r\n\nOutcome: General Module (Satellite Systems) Outcomes\nStudents have knowledge/responsibilities in:\r\n•Thermal Control System of a Satellite\n•Design process\r\n•Analysis of light weight structures with reasonable methods\r\n•Building of simplified physical models\r\n•Capability of pre-dimensioning of space structures\r\n•Fundamentals of space project management (theory)\r\n•Fundamentals of space systems and concurrent engineering (theory)\r\n•Application of concurrent engineering in the frame of an example project (Phase 0/A design \r\nlevel)" . . "Presential"@en . "TRUE" . . "Structural design and analysis"@en . . "3" . "Availabe: General Module (Satellite Systems) Description\n•Thermal control at space vehicles\r\n•Analysis of space systems\r\n•Structural design and engineering\r\n\nOutcome: General Module (Satellite Systems) Outcomes\nStudents have knowledge/responsibilities in:\r\n•Thermal Control System of a Satellite\n•Design process\r\n•Analysis of light weight structures with reasonable methods\r\n•Building of simplified physical models\r\n•Capability of pre-dimensioning of space structures\r\n•Fundamentals of space project management (theory)\r\n•Fundamentals of space systems and concurrent engineering (theory)\r\n•Application of concurrent engineering in the frame of an example project (Phase 0/A design \r\nlevel)" . . "Presential"@en . "TRUE" . . "Thermal control of satellites"@en . . "3" . "Availabe: General Module (Satellite Systems) Description\n•Thermal control at space vehicles\r\n•Analysis of space systems\r\n•Structural design and engineering\r\n\nOutcome: General Module (Satellite Systems) Outcomes\nStudents have knowledge/responsibilities in:\r\n•Thermal Control System of a Satellite\n•Design process\r\n•Analysis of light weight structures with reasonable methods\r\n•Building of simplified physical models\r\n•Capability of pre-dimensioning of space structures\r\n•Fundamentals of space project management (theory)\r\n•Fundamentals of space systems and concurrent engineering (theory)\r\n•Application of concurrent engineering in the frame of an example project (Phase 0/A design \r\nlevel)" . . "Presential"@en . "TRUE" . . "Orbital systems"@en . . "3" . "Availabe: General Module (Subsystems) Description\n•Subsystems for Space Missions\n•Propulsion and Attitude Control Systems\n•Power and Thermal systems\n•Command & Data Handeling\n\nOutcome: General Module (Subsystems) Outcomes\nStudents have knowledge/responsibilities in\n•Design for orbital and interplanetary spacecraft (Phase\n0/A/B)\n•Design of spacecraft subsystems: Power, propulsion, C&DH, AOCS, thermal, telecom, structure\n•Functional principles of all major types of space propulsion.\n•Main components of chemical rocket propulsion and their most important design criteria\n•Informed assessment of advantages and disadvantages of the different concepts and \nunderstanding the challenges to future developments\n•Overview of design, concepts and elements of a navigation and control subsystem for a \nspacecraft and their functions\n•Typical sensors and actuators used for spacecraft navigation and control\n•Methods for state estimation used in spacecraft navigation systems\n•Concepts for controlling spacecraft" . . "Presential"@en . "TRUE" . . "Space propulsion systems 1"@en . . "3" . "Availabe: General Module (Subsystems) Description\n•Subsystems for Space Missions\n•Propulsion and Attitude Control Systems\n•Power and Thermal systems\n•Command & Data Handeling\n\nOutcome: General Module (Subsystems) Outcomes\nStudents have knowledge/responsibilities in\n•Design for orbital and interplanetary spacecraft (Phase\n0/A/B)\n•Design of spacecraft subsystems: Power, propulsion, C&DH, AOCS, thermal, telecom, structure\n•Functional principles of all major types of space propulsion.\n•Main components of chemical rocket propulsion and their most important design criteria\n•Informed assessment of advantages and disadvantages of the different concepts and \nunderstanding the challenges to future developments\n•Overview of design, concepts and elements of a navigation and control subsystem for a \nspacecraft and their functions\n•Typical sensors and actuators used for spacecraft navigation and control\n•Methods for state estimation used in spacecraft navigation systems\n•Concepts for controlling spacecraft" . . "Presential"@en . "TRUE" . . "Spacecraft navigation and control"@en . . "3" . "Availabe: General Module (Subsystems) Description\n•Subsystems for Space Missions\n•Propulsion and Attitude Control Systems\n•Power and Thermal systems\n•Command & Data Handeling\n\nOutcome: General Module (Subsystems) Outcomes\nStudents have knowledge/responsibilities in\n•Design for orbital and interplanetary spacecraft (Phase\n0/A/B)\n•Design of spacecraft subsystems: Power, propulsion, C&DH, AOCS, thermal, telecom, structure\n•Functional principles of all major types of space propulsion.\n•Main components of chemical rocket propulsion and their most important design criteria\n•Informed assessment of advantages and disadvantages of the different concepts and \nunderstanding the challenges to future developments\n•Overview of design, concepts and elements of a navigation and control subsystem for a \nspacecraft and their functions\n•Typical sensors and actuators used for spacecraft navigation and control\n•Methods for state estimation used in spacecraft navigation systems\n•Concepts for controlling spacecraft" . . "Presential"@en . "TRUE" . . "Fatigue and loads"@en . . "3" . "No Description, No Learning Outcome" . . "Presential"@en . "FALSE" . . "Cost estimations for space systems"@en . . "3" . "No Description, No Learning Outcome" . . "Presential"@en . "FALSE" . . "Fem simulations for the design of space systems"@en . . "6" . "No Description, No Learning Outcome" . . "Presential"@en . "FALSE" . . "Specification of embedded systems"@en . . "3" . "Development of specification models for embedded control systems and cyber-physical systems, \r\nusing the modelling formalism UML/SysML. Automated code generation for embedded Systems \r\nfrom UML/SysML Models. For 6 ECTS credit points, all lectures and tutorials need to be \r\nattended. The oral examination covers both UML/SysML modelling and code generation. For 3 \r\nECTS, only the first half of the lectures and tutorials concerned with modelling only needed to be \r\nattended. The oral examination only covers modelling with UML/SysML\n\nOutcome:\nLearning outcomes:\r\nLearn how to model the expected behavior of an embedded control system with real-time \r\nconstraints.\r\nLearn how to use the formal modelling language UML/SysML, based on real-world examples \r\nfrom the automotive industry\r\nLearn how to elaborate models using a state-of-the-art tool (e.g. Papyrus/Eclipse)\r\nLearn how to generate efficient C-code automatically from a model\r\nLearn how to set up an efficient domain framework supporting execution of generated code in \r\nreal-time" . . "Presential"@en . "FALSE" . . "Scientific payloads"@en . . "3" . "No Description, No Learning Outcome" . . "Presential"@en . "FALSE" . . "Applied numerical fluid mechanics"@en . . "3" . "Introduction of CFD (I), Introduction of CFD (II), Turbulence modeling (I), Multiphase \r\nflow II, Computational heat transfer, Convection in porous media (I), Convection in \r\nporous media (II), Multiphase flow (I), Computational combustion (I), Computational \r\ncombustion (II), Introduction of OpenFoam, Summary\n\nOutcome: Not Provided" . . "Presential"@en . "FALSE" . . "On board data handling"@en . . "3" . "No Description, No Learning Outcome" . . "Presential"@en . "FALSE" . . "Fluid handling in spacecrafts"@en . . "3" . "Content: Subsystems of spacecraft\r\nOrbital mechanics\r\nPropulsion systems\r\nMission design\r\nGoverning equations\r\nTwo-dimensional analysis of liquid/gas interface\r\nDynamic behavior of liquids\r\nLiquid sloshing in closed containers\r\nTask of propellant management systems\r\nBasics of capillary rise\r\nCapillary rise in porous media\r\nScreen resistance and bubble point\r\nDesign of propellant management components\r\n\nOutcome:\nLearning outcomes:\r\nUnderstanding the connection between accelerations of a spacecraft and liquid behavior\r\nConnection between thrust, acceleration, and propellant demand\r\nUnderstanding fluid mechanics on tank scale, component scale, and subcomponent scale\r\nDesign tools for two-dimensional situations\r\nDesign equations for propellant management devices" . . "Presential"@en . "FALSE" . . "Research and exploration missions"@en . . "3" . "No Description, No Learning Outcome" . . "Presential"@en . "FALSE" . . "Human space exploration & habitation"@en . . "3" . "Learning content:\r\nIn the past five decades more than 550 humans ventured into space, most of them into \r\nthe low-Earth orbit and a few of them even to the Moon using different vehicles. The \r\nastronauts performed experiments, were part of experiments themselves, built \r\ninfrastructure, and even repaired them in space. According to many international \r\nexploration roadmaps, the future of human space flight is seen in the establishment of \r\nplanetary outposts and habitats on the Moon and Mars. \r\nSustained human presence in space is challenging and requires a large number of \r\ntechnologies to maintain environment control, to provide water, oxygen, food and to \r\nkeep astronauts healthy and psychologically fit. Currently physical/chemical life \r\nsupport systems and regular resupply missions represent the back-bone of each life \r\nsupport system. In the future, bio-regenerative life support systems and principles such \r\nas algae reactors and higher plant cultivation in conjunction with in-situ resources and \r\nadvanced manufacturing methods will initially reduce and ultimately eliminate basic \r\nconsumables from the logistics chain. Minimizing this need for resupply while ensuring \r\nhuman safety will allow astronauts to travel further and stay longer in space than ever \r\nbefore.\r\nInterconnecting different technologies into life support architectures is a complex task \r\nand many requirements need to be fulfilled in order to guarantee the survival of the \r\nastronauts. Already today, astronauts and scientists experiment how working and \r\nliving conditions on a planetary surface can be simulated. During analogue- and \r\nisolation studies on Earth in extreme environments, such as deserts, polar regions, \r\nand caves, essential knowledge in the operation of new technologies can be gained.\n\nOutcome:\nStudents gain knowledge in:\r\n• History of human spaceflight (Animals in space, Mercury, Gemini, Apollo, \r\nSalyut, Spacelab, Mir, Space Shuttle, ISS, Tiangong, Artemis, Musk, Moon \r\nVillage, Space tourism) \r\n• Life support systems (human requirements, life support functions, physical\u0002chemical technologies, bio-regenerative technologies, fire safety, technology \r\ntrade-offs with ESM)\r\n• Life support architectures (ISS ECLSS, closed-loop systems, resupply strategies, \r\nexemplary calculations/diagrams, simulation)\r\n• Analogue and isolation studies (Bios-3, Biosphere, CEEF, Lunar Palace, Hi-Seas, \r\nMDRS, CAVES, NEEMO, Concordia/Antarctica, EDEN ISS, Mars500)\r\n• Habitat design/space architecture\r\n• ISRU (prospecting, excavating, processing, manufacturing, interconnections \r\nwith ECLSS)\r\n• Resupply vs. advanced in-situ manufacturing \r\n• Space suits and EVA\r\n• Astronaut selection and training\r\n• Humans in Space (human factors, physiology, space medicine, issues in micro\u0002or low gravity)\r\n• International programmatic roadmaps on human exploratio" . . "Presential"@en . "FALSE" . . "Philosophy of cosmology, space and space travel"@en . . "3" . "Course Content: \r\nThis course covers philosophical questions about cosmology and about the \r\nexploration of terra incognita related to space. First, we cover the meaning of \r\nexploration for mankind in general (exploration of new territories as well as of laws of \r\nthe physical world and laws in general). Second, we specialize to questions related to \r\nspace: What is the idea behind a finite or infinite world? What does the exploration of \r\nspace mean for the “position” of mankind within the Universe, for the world view of \r\nhuman beings? What would it mean for mankind if the search for extraterrestrial life \r\nwill be successful? In what sense can cosmology missions “uncover” the dynamics of \r\nthe universe from the Big Bang to the far future? What concept of time is involved \r\nhere and what counts as evidence and why?\r\n\nOutcome:\nLearning outcome/learning goals:\r\n• Knowledge of basic notions from the philosophy of the natural sciences (natural law, \r\nspace, time, infinity, …)\r\n• Basic insights into the aims of scientific inquiry and the generation of scientific \r\nknowledge (by means of examples from the history of cosmology)\r\n• Ideas involved in human self-understanding related to “other worlds” or \r\nextraterrestrial life\r\n• Basic knowledge of cosmology." . . "Presential"@en . "FALSE" . . "Master project"@en . . "12" . "The student has to work on an applied or scientific project\r\nduring the working time. Result should be finishing a project or a clear defined part of it.\r\n\nOutcome:\nStudents have knowledge/responsibilities in\r\n•working on a scientific topic\r\n•concluding scientific results in a colaborating team\n•project management\r\n•concluding scientific results in textform\r\n•discussing and presenting own results\r\n•communication and presentation techniques" . . "Presential"@en . "TRUE" . . "Master of Space Engineering"@en . . "https://www.fb4.uni-bremen.de/studium_ma_space_home_e.html" . "120"^^ . "Presential"@en . "The aerospace is of outstanding importance for the public image and perception of the Hanseatic city Bremen – the city of aviation and space flight. The University of Bremen with its Center of Applied Space Technology and Microgravity (ZARM) and the DLR Institute for Space Systems has become a worldwide renowned condensation point for space technology: for systems and subsystems (e.g. payloads and instruments) needed for Earth Observation Science, Telecommunication and Navigation. The novel master’s program in space engineering plays an important role in the further development of the Campus Bremen.\n\nFollowing the present expertise in the area of space engineering and technology the executive committee of the faculty of production engineering (FB4) has agreed to apply for the establishment of a master’s program in space engineering.\n\nThe foreseen master’s program in space engineering is superior to generic aerospace studies offered by other universities. While the faculty of production engineering will host the interdisciplinary master’s studies, other faculties, such as the departments of physics, electrical engineering, mathematics, and computer science, support and complement the program. As a result, graduates from a variety of different areas will be able to choose to be trained to become experts in space engineering and related aeronautical fields."@en . . . . . . . . . . . "2"@en . "FALSE" . . . "Master"@en . "Thesis" . "689.34" . "Euro"@en . "689.34" . "None" . "Your future career can be in industry with respect to space applications and/or in fundamental sciences as part of our PhD program following a successful completion of the SpE master’s program"@en . "no data" . "TRUE" . "Upstream"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "German"@en . .