Engineering and Management of Space Systems M.Sc.

• Mechatronics and Mechanism Theory: Extension of the knowledge gained in the framework of general mechanics (statics, kinematics, dynamics). Familiarization with the description of the kinematics and dynamics of movement and any spherical body, the point of moving complex issues collisions, dynamic systems with variable mass and the basics of analytical mechanics (general equation of dynamics, the principle of virtual work, Lagrange equations I and type II); Theory of machines and mechanisms in the construction space. Method of vector and matrix to describe the geometry of mechanisms, known methods of kinematic analysis of planar mechanisms and Denavit-Hartenberg notation; Spacecraft structures; Finite Elements Method; Robotics, automatics, system control, manipulators kinematics, sensors and actuators, design robotic devices for use in space; Modeling methods in design: Broaden and consolidate knowledge in the field of machine design. Practical utilization FEM software.
• Satellite Technologies: Artificial Earth satellite as a system. Satellite subsystems and their roles and interdependencies: mechanical subsystem, power supply subsystem, avionics subsystem, orbit control and stabilization subsystem, thermal control subsystem, telecommunication subsystem, software and data handling subsystem, other subsystems. Satellite ground segment. Main applications of satellite technology. Satellite telecommunications. Satellite navigation: architecture, elements, functions and services of global navigation satellite system (GNSS); the essence of determining position coordinates in GNSS code measurements; pseudo range measurement, pseudo range measurement errors: tropospheric and ionospheric refractions, ephemeris data errors, clock errors, mutli-path, errors introduced by the receiver, other errors; DOP coefficients and their influence on positioning accuracy; operational characteristics of navigation positioning systems. Satellite remote sensing: Earth observation satellites (EOS) and their instrumentation components; electromagnetic waves and their use in satellite imaging; technical features of satellite EO system; sample applications of satellite remote sensing in land, sea and atmosphere observation; short review of present EO systems and programs.
• Electrical and Software Systems Engineering: Basic concepts of systems engineering; Principles of electrical systems engineering; Principles of software systems engineering for electrical systems.

• Space Law: International public law – basic features; Sources of international law; Relationship between international law and domestic law; Space law – basic definitions; Sociological sources of space law; Formal sources of international space law; Formal sources of domestic space law; International space organizations; Fundamental features of the status of outer space; Delimitation of outer space; Responsibility of states for damages caused by space objects; Registration of artificial space objects; Status of the Moon and other celestials bodies; extra-conventional issues of the outer space
• Cybersecurity: Brief introduction to cybersecurity; IT Security risk management practices; Threat modelling; Multilayered approach to information security management; Introduction to DevOpsSec approach
• Risk management in space: Become familiar with methods of hedging against different types of risks and acquire the ability to risk calculation
• Virtual work and virtual team management: The course is needed for contemporary workers, especially in high-tech, developed environments. How to lead virtual teams and work in them?
  This course will present to the students content on diversity and working in virtual teams. Several topics will be discussed in detail, together with practical examples.
  Building trust in virtual teams; Communication in virtual teams; Choosing the appropriate technology for communication processes and using it in practice; Understanding diversity in virtual teams (language, cultures, professional background); Team canvas; Development of the competencies needed in virtual teams; Team development stages (the Lewis model and other approaches).

Students deal with the realistic systems in the space domain in the context of teamwork and customer requirements based on the research activities of the university institutes or business partners.

The contents are e.g.

• Use the methods and principles of Space Systems Engineering
• Work according to Systems Engineering processes
• Define Systems Engineering roles
• Use relevant norms and standards (especially ECSS Space Standards)
• Perform all necessary phases (Requirements Engineering, System Architecture and Component Design, Development, Verification & Validation) using classical and/or agile methods
• Define necessary operational concepts (Operations, Maintenance, Evolution, Quality management, Reuse, Disposal)
• Use project management methods and tools (both classical and agile according to the context)

1.6 Mechanical Engineering and Aviation (ST)

• Space technologies as the development of aviation including avionics factor: Introduction to aviation and space; Space technology as a branch derived from aviation; The development of on-board instruments and avionics from pioneering times of aviation to the conquest of space; Basics of the human factor in aviation and space technology; Genesis and development of the spacecraft; Basics of the space architecture; Basics of the space policy; Space agencies and forces of the world; Basic knowledge of the Earth's atmosphere and near outer space.
• Modelling methods in design (CAD, FEM):
• Heat & Mass transfer in no gravity environment: Introduction – importance of passive methods of heat transfer; Principles of Heat Transfer; Heat Transfer Mechanisms; Fins and Heat Sinks; Thermal Resistance Network; Thermal Specification of Microelectronic Packages; Fundamentals of Convection Heat Transfer; Natural Convection Heat Transfer; Radiation Heat Transfer; Advanced Cooling Technologies (Heat Pipes, Thermosyphons, Loop Heat Pipes, Vapor Chambers, Thermoelectric Coolers, Phase-change materials, e.g. graphene)
• Basics of finite difference method, finite volume method and finite element method. Problem of properly defined boundary conditions and basics of turbulence modeling. Basic features of computational fluid dynamics solvers, mesh generators, convergence criteria and results analysis Students run the simulations for 3D flows by means of available CFD code. Students generate the mesh for selected geometry, select model and solver settings, run the simulations for steady and unsteady case, analyse the convergence and visualize results.

1.7 Software Engineering and Management (CS)

• Software project implementation and management: project life-cycle, methods and frameworks for project organisation (disciplined, agile, hybrid); systems engineering management (risk management, configuration management, change management), project management and operations management
• Critical systems software testing and quality assurance: Environment, program and error models; Functional testing strategies; Structural testing strategies; Parallel and distributed systems software testing; Organization and planning of testing process; Product lifecycle vs. testing cycle; Software validation, verification and testing; Static analysis techniques; Documentation standards (IEEE, ESA); Quality assurance vs. product assurance
• Embedded systems architecture: Construction of an embedded system; Basic concepts related to the construction of embedded systems (architecture, interfaces, computing modules); Embedded system model (layers: hardware, system, application); Hardware platforms in embedded systems, microcontrollers in embedded systems; Signal processors in embedded systems; PC class computers in embedded systems; Industrial PC standards; DAC and ADC converters; Systems with PWM output, voltage-frequency converters; Prototyping: single board computers, Multiprocessor systems architecture; Buses of multiprocessor systems; Consequences of the existence of shared resources; Operating systems for embedded systems; POSIX standard; Linux operating system; Real-time operating systems; Kernel and its environment in RT operating systems / embedded systems; Process manager, namespace management, memory management; Threads and processes, thread scheduling algorithms, thread synchronization methods, inter-process communication; Hardware interrupt handling concepts; File systems; Bootloaders; GNU Toolchain; Drivers programming; Techniques of efficient use of hardware resources; MISRA C programming standard.

1.8 Electrical Control Systems (EE)

• Control design: Basic concepts of systems engineering; Principles of electrical systems engineering
• Adaptive Filter Design: Basic concepts of adaptive filter design and implementation; Principles of adaptive filtering and signal processing
• Power conversion in autonomous systems: Introduction of autonomous systems. Modern semiconductor devices (GaN, SiC), consolidation. DC / DC topologies (unidirectional - bidirectional). Operation and control of: resonant converter LLC, dual active bridge converter and three-phase + multi-level inverter. Control systems of power electronic systems. Battery charging / discharging systems; Introduction of simulation software. The simulation of coveter DC/DC/AC. Sensitive study. Optimal components selection. Analysis of normal and fault operation.

Overview (Please find details for each module below)

• 1.9 Management and Production Engineering
• 1.10 Contemporary Construction Materials
• 1.11 Rocket Science
• 1.12 Objective Programming and Spatial Data Processing
• 1.13 Optimization Algorithms
• 1.14 Systems Modeling and Simulation
• 1.15 Antenna Technique and GNSS Applications Programming
• 1.16 Robotics for Human Health and Performance
• 1.17 Current Topics of Systems Engineering 1

1.9 Management and Production Engineering (ST)

Elements of a manufacturing process (definitions and terms). The structure and functions of a production system. Integration forms of process components: machining (manufacturing), material flow (transportation), information flow and process control. Classification of machine tool control technologies. Numerical control and automatic regulation. Automation components for machine tools and their systems. Automation versus flexibility and production scale. Productivity and the degree of system autonomy. Flexibly automated CNC machine tools, machining centers and autonomous machining stations in integrated manufacturing systems (IMS). Flexible manufacturing systems (FMS). Factors and measures for FMS integration: transportation and material (part/tooling) handling subsystems using manipulators and industrial robots. Integration of process flow functions. Surveillance and diagnosis in FMS. FMS operation and process flow control. Typologies of production facility organisation. The stationary system layout. Cellular and linear forms of layout organisation. The means for hybrid manufacturing technology realisation.

1.10 Contemp. Construction Materials (ST)

1.11 Rocket Science (ST)

• Rocket Science – Fundamentals
• Nozzle
• Rocket equation
• Propulsive
• Rocket engines
• Orbits
• Rocket dynamic and motions
• Payload

1.12 Objective Programming and Spatial Data Processing (CS)

• Objective programming: Software programming paradigms including object oriented approach; Encapsulation, inheritance, abstraction and polymorphism in C++ language; Specific features of C++ object-orientation; Java language and its comparison to C++ language; C# language as successor of C++ and Java languages; Python as a scripting object oriented language
• Spatial data processing technologies: Introduction to GIS, definitions, basic functionality, data types and sources; Popular GIS software (Quantum GIS, GRASS, ArcGIS, other); Standards for spatial data representation: shapefile, GML, KML, WMS, WFS, WCS, CSW; GIS data sources: satellite Earth observation data, laser 3D scanning data; Review of open technologies for spatial data processing (GeoTools, Geoserver, OpenLayers, GeoEXT, Nominatim, Routino, Google Maps API, Cesium); Raster and vector databases, SQL spatial extensions, vector data processing in geodatabases
• 3D visualisation of space data: basics of 3-dimensional computer graphics, 3D data visualization methods, coordinate systems for space and spatial data, 3D data formats, programming technologies and libraries, 3D graphics in WWW

1.13 Optimization Algorithms (EE)

• Principles of gradient and non-gradient optimization algorithms
• Metaheuristic optimization utilizing population-based optimization models
• Solving real-life engineering problems related to space system design
• Working with open-source (Python) optimization libraries

1.14 Systems Modeling and Simulation (CS / EE)

• Modelling and identification of space systems and components
• System structural identification techniques
• System parameter identification
• Neural and fuzzy modelling

1.15 Antenna Technique and GNSS Applications Programming (CS / EE)

• Antenna technique in space applications: Introduction: electromagnetic frequency bands, basics of radiation theory and electromagnetic wave guiding, quantitative description of field phenomena; Antenna parameters: radiation pattern, gain, effective antenna aperture, Friss transmission equation, polarization parameters, noise parameters; Theory of antenna array, the concept of array factor, homogeneous and nonhomogeneous linear arrays, planar array, beam forming systems; Overview of selected types of antennas: dipoles and their power supply systems, biconical, helical, spiral antennas, tubes, microstrip antennas, slot, reflector antennas. Earthly space and space as a specific working environments for telecommunication systems and antennas - factors determining the choice of materials and the processes for the designing and construction of antennas; Antenna measurement: environmental measurements, antenna parameters measurement: radiation pattern, gain, ellipticity, reflection
• Programming of GNSS applications: Positioning and navigation algorithms; Satellite navigation receivers; Structure and formats of GNSS data (at various levels of processing); Methods and algorithms for GNSS data processing; Mobile systems and platforms; Selected evaluation platforms and its programming; Selected graph-based algorithms related to navigation; Numerical libraries to solve navigational equations; GNSS signal processing algorithms

1.16 Robotics for Human Health and (all)

• Introduction to biomechanics
• Introduction to sensors and signals: bio-signal sensors, holter-based measuring devices
• Introduction to robotic devices for human rehabilitation

1.17 Current Topics of Systems Engin. 1 (all)

The catalogue of Elective Modules of the program comprises of the modules listed above. Further topics may be included based on the current research interests and project of GDAŃSK TECH’s academic teaching staff. Students will receive information on the respective module selection in due time. Elective modules that are not listed in the examination regulations can be recognized for the module “Current Topics of Systems Engineering”.

Each topic is going to be illustrated and mapped to an example project in the space application domain

• Systems Engineering foundations and principles
• Term definitions (system, system types, system abstraction levels, system elements, subsystems, components and interfaces, system lifecycle)
  • System view of Spacecraft
  • Spacecraft Environment/Facilities
• Systems Engineering methods and processes
• Systems Engineering competences and roles
• Relevant norms and standards, especially the ECSS Space Standards
• Classical vs. agile approaches/process models (waterfall, V-Modell, spiral model, agile methods, lean SE)
• Systems vs. software engineering
  • Requirements Engineering (mission requirements, context diagram, classical and agile methods for requirements elicitation, documentation, verification, traceability and management
  • Mission definition/statement
  • CONOPS (concept of operations)  use cases
  • Product assurance & safety
  • Mission analysis (orbital mechanics, launch vehicles)
  • Mission requirements
  • System requirements
  • Functional analysis
  • System specification
• Technical realisation processes
  • Design decisions/trade-offs
  • System architectural design and interface definition
    • Main budgets and analysis
    • Bus and payload module design
    • FDIR design
    • Software system
      • On-board software system and data handling (OBC, AOCS/GNC, FDIR, PL)
      • Ground Software System (AIT, V&V and MCC)
      • Consistency between all software components
    • Electrical power system
    • Attitude determination and control system
    • Telecommunications
    • Structure & mechanics
    • Thermal design
    • Propulsion and de-orbiting systems
    • Deployable systems and mechanisms
  • Implementation and realization strategies
  • System assembly, integration and verification/validation including reviews
• Foundations and principles of model-driven engineering
• Operational aspects (operations and maintenance strategy, continuous improvement, quality management, reuse and disposal strategies)
  • Ground segment (test and simulation facilities)
  • Launch site operations and disposal
  • In-Orbit spacecraft operations (mission control center)
• Introduction to project management interfaces o Product vs. project vs. process
  • Project preparation and planning
  • Work organization, team building and social skills
  • Project execution, monitoring and evaluation
  • Project- vs. system configuration management, change management, interface management

• Basics of project management
• Cost/time/quality
• Requirements engineering
• Design thinking
• Agile project management
• Organisation of companies
• Project preparation (goals, stakeholder analysis, project chart, contract, kick-off, risks and chances, milestones, deliverables)
• Organisation of the project (team roles and responsibilities, RACI, meetings)
• Project planning (Work Breakdown Structure (WBS), Organisational Breakdown Structure (OBS), Cost Breakdown Structure (CBS), Work packages)
• Business plan
• Project configuration management
• Project execution, monitoring and control
• Project finalization and evaluation
• Project management in the Space Application Domain
  • Methods and Standards (especially ECSS Space Project Management Standard)
  • Proposal for an example project according to ESA - Invitation to tender (ITT) process
• Project Management Tools
• Teambuilding, communication and conflict management
• Cultural management, gender management

This module is the continuation of the studies embedded in the module Interdisciplinary one year project 1 (IOYP1). Students deal with the realistic systems in the space domain in the context of teamwork and customer requirements based on the research activities of the university institutes or business partners.

The contents are e.g.

• Use the methods and principles of Space Systems Engineering
• Work according to Systems Engineering processes
• Define Systems Engineering roles
• Use relevant norms and standards (especially ECSS Space Standards)
• Perform all necessary phases (Requirements Engineering, System Architecture and Component Design, Development, Verification & Validation) using classical and/or agile methods

2.6 Design & Modelling of Space Propulsion Systems (ST)

Lectures:

• Space Mission Design and ΔV calculation
• Space Propulsion System Design
  • Components of Space Propulsion Systems
  • Propellants and their Characteristics
  • Materials
  • Performance Parameters
• Component Analysis and Modelling
  • Tanks
  • Valves and Lines
  • Turbines and Pumps
  • Injectors
  • Ignition Systems
  • Combustors
  • Nozzles
• Propulsion System Dynamics
  • Steady Flow Operations
  • Transient Behaviour

Design Project:

• Design a liquid propellant propulsion system for a space mission based on given mission requirements.

2.7 Methods for Developing Complex Software Systems (CS)

Building on solid knowledge of programming and software technology, the module conveys scientific, methodo-logical and practical skills in the field of analysis, conception and development of complex software systems. It also promotes the ability to work independently. As part of the scientific examination of concepts and methods for the implementation of complex software systems, the students deal with the following topics, among others:

• Techniques and procedures for the analysis, design and construction of software systems o Software architecture with architecture and design patterns
  • Distribution and concurrency
  • Software development paradigms
  • Modelling of software systems
  • Model-Driven Engineering
  • Software Product Lines
• Selected chapters on the current state of research

2.8 Measurement & Instrumentation (EE)

• ANOVA, MANOVA, Hypothesis testing
• Uncertainty in measurement
• Design of experiments
• EMC/EMI in measurement applications
• Interfaces and bus systems
• Sensor signal conditioning
• Examples of electrical measurement of non-electrical properties

Overview (Please find details for each module below)

• 2.9 Non-Chemical Space Propulsion Systems
• 2.10 Orbital Mechanics
• 2.11 On-Board Software Engineering
• 2.12 Optical Communications
• 2.13 IoT (Internet of Things) Architectures
• 2.14 Model-based Systems Engineering
• 2.15 Satellite Communications
• 2.16 Space Mission Operations
• 2.17 Unmanned Aerial Vehicles
• 2.18 Current Topics of Systems Engineering 

2.9 Non-Chemical Space Propulsion Systems (ST)

Lectures:

1.  Classification of Space Propulsion Systems
   • Types of Space Propulsion Systems
   • Performance Parameters
   • Mission Design and Propulsion System Selection
2. Electrical Space Propulsion
   • Electrothermal Propulsion
   • Electromagnetic Propulsion
   • Electrostatic Propulsion
3. Nuclear Space Propulsion
   • Isotope Propulsion
   • Solid Core Reactors
   • Liquid and Gas Core Reactors
4. Solar Space Propulsion
   • Solar Thermal Propulsion
   • Solar Electric Propulsion
   • Solar Sails
   • Laser Propulsion
5. Further Propulsion Concepts

Exercises:

Calculation exercises on mission design and different types of non-chemical space propulsion systems

2.10 Orbital Mechanics (ST)

• Introduction
  • Historical Review of Orbital Mechanics
  • Actual Spacecraft Mission Design Application
• Two-Body Motion
  • Circular Orbits
  • General Solution
  • Elliptical Orbits
  • Parabolic Orbits
  • Hyperbolic Orbits
  • Time Systems
  • Coordinate Systems
  • Orbital Elements
• Orbital Maneuvers
  • In-Plane Orbit Changes
  • Hohmann Transfer
  • Bielliptical Transfer
  • Plane Changes
  • Combined Maneuvers
  • Propulsion for Maneuvers
• Observing the Central Body
  • Effect of the Launch Site
  • Orbit Perturbations
  • Ground Track
  • Spacecraft Horizon
• Special Earth Orbits
  • Geosynchronous Orbit
  • Sun-Synchronous Orbit
  • Molniya Orbit
  • Low Earth Orbit
• Interplanetary Missions
  • Patched Conic Approximation
  • Highly Simplified Example
  • Patched Conic Procedure
  • Locating the Planets
  • Design of the Transfer Ellipse
  • Design of the Departure Trajectory
  • Design of the Arrival Trajectory
  • Gravity-Assist Maneuver
  • Establishing a Planetary Orbit
• Lunar Trajectories
  • Motion of the Earth-Moon System
  • Time of Flight and Injection Velocity
  • Sphere of Influence
  • Lunar Patched Conic

2.11 On-Board Software Engineering (CS)

• On-board Software Engineering terms, principles, methods and processes
  • System and onboard-software development standard and norms
    • European Cooperation for Space Standardization (ECSS) standards
    • Packet Utilisation Standard (PUS)
    • Consultative Committee for Space Data Systems (CCSDS)
    • other standards (e.g. MISRA-C coding standard, project and/or company specific coding standards)
  • Synchronizing the Software Development Approach with the System Life-Cycle
  • Agile techniques and methods for on-board software development
• Mission Analysis and System Design – Define the On-board Software System Requirements
  • System modes, transitions and FDIR
  • Level of autonomy and operational interfaces
  • On-board software functions and external software interfaces
  • Allocation of On-board software functions to subsystems (HW) and or products (OBDH, AOCS/GNC, Mission Management, System Management/FDIR, PL)
• On-board Software System Architecture Design
  • Static Architecture (main components and interfaces, OS and drivers, TM/TC, Subsystem manager, Mission Manager, etc. )
  • Dynamic Architecture (task scheduler, bus communication, time snchronisation, etc.)
  • Operational interfaces (TM/TC, PUS, CCSDS, etc. )
  • Reference on-board software architectures and frameworks
  • Modelling of software system architecture
  • Design/modelling tools (UML)
• On-Board Software (OBSW) and On-Board Data Handling (OBDH) Detailed Design
  • Platform subsystems: On-Board Computer (OBC), Command Pulse Distribution Unit (CPDU), Electrical Power Subsystem (EPS), Communications (Com, TT&R) subsystem, Thermal Control Subsystem (TCS), Electrical/Chemical Propulsion Subsystem (EPPS, CPPS), Attitude and Orbit Control System (AOCS/GNC)
  • Payload subsystems (mission specific)
  • On-board interfaces: data interfaces (MIL bus, CAN bus, analogue and discrete lines, etc.) and power interfaces (High-Power Commands (HPCs), Latching Current Limiters (LCLs))
  • Fault Detection, Isolation, and Recovery (FDIR)
  • Software layer structure: Real-Time Operating System (RTOS), Hardware Encapsulation Layer, Service Layer, Application Layer
  • Basic terms and characteristics of Real-Time Operating Systems (RTOS): tasks, mutexes, etc.
  • Redundancy aspects (primary and secondary on-board computer)
  • Safety and security aspects
  • Satellite Reference Database (SRDB)
  • Mission Information Base (MIB)
• On-board Software Realization
  • Software configuration management and change management
  • On-board SW coding tools and languages, compiler toolchain, continuous integration
  • On-board software frameworks and software re-use
• Software validation & verification (V&V)
  • Levels of V&V activities (RB, TS, architectural/integration, units)
  • Review of specification documents
  • Inspection of source code and other software artefacts
  • Software test on the different applicable levels (unit, integration, TS, RB)
  • Checking of compliance with applicable coding standards
  • Analysis of runtime behavior
  • Determination and reporting of software metrics
  • Consistency between components
  • V&V tools (test, code review, code analysis, etc.)

2.12 Optical Communications (EE)

• Introduction to fiber optic systems
• Economic significance of photonics
• Optical fibers, SM, MM, POF (optical transmission line)
• Optical sources, LED, LD (optical transmitter)
• Photodiodes, PIN, APD (optical receiver)
• Optical interconnection, splicing (covered by lab work)
• Optical systems and networks (including lab work)

2.13 IoT (Internet of Things) Architectures (CS / EE)

Each topic is going to be illustrated and mapped to an example IoT project.

• Industry 4.0 Agenda - Foundations
• Basic Structure of an IoT (Internet of Things) Architecture o Devices/Sensors/Control
  • IoT Hub/Data Transmission
  • Data Persistence
  • Logic/Data Processing
  • Application Programming Interface (API)
  • IoT Communication Protocols (HTTP, WebSocket, MQTT, AMQP)
• IEEE Standard for an Architectural Framework for the Internet of Things (IEEE Std 2413™-2019)
• Message Queuing Telemetry Transport (MQTT) Architecture
• Open Platform Communications Unified Architecture (OPC/UA)
• Advanced Message Queuing Protocol (AMQP) Architecture
• Representational State Transfer (REST) Architecture
• Edge Computing
• IoT Cloud Services
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Siemens MindSphere
• IoT Architectures for Data Science (especially Big Data und Aritifcal Intelligence)

2.14 Model-based Systems Engineering (all)

• Foundations and principles of systems engineering
• Overview of methods and processes of systems engineering
• System definition, system abstraction levels, system elements, subsystems, components and interfaces
• Foundations and principles of model-based systems engineering
• Modeling with SysML (System Modeling Language) /UML (Unified Modeling Language)
  • Use case and requirement diagrams for elicitation, analysis and definition of requirements
  • Data flow diagrams
  • Control flow diagram
  • Functional flow block diagram
  • Structure diagrams (block definition, internal block, package and component diagram)
  • Behavior- and interaction diagrams (state machine diagrams, activity diagrams, sequence diagrams and timing diagrams)
  • SysML Tools
• Application of different diagrams for designing concrete example systems
• Usage of additional models and data formats for development and simulation of different subsystems
• Embedding different views and models into the systems engineering process

2.15 Satellite Communications (all)

• Introduction
• Orbital Mechanics
• Satellite Launch Systems
• The Space Segment
• The Ground Segment
• Space System Project Management
• Space System Engineering
• The Communication Link
• Satellite Based Navigation

2.16 Space Mission Operations (all)

• Mission Planning o Mission Timeline
  • Mission Planning System
  • Unmanned Mission
  • Human Spaceflight Mission
• Introduction to Spacecraft Operational Environment
• Control Center Design
  • Infrastructure
  • Control Center Network
  • Control Center Software System
• Ground Station Network
  • Station Selection
  • Station Communication
  • LEOP and Routine Operations
• In-Orbit Spacecraft Operations
  • Telemetry, Commanding and Ranging Subsystem
  • On-Board Data-Handling Subsystem Operations
  • Attitude and Orbit Control Subsystem Operations
  • Power and Thermal Operations
  • Propulsion Subsystem Operations
• Ground Segment (Test and Simulation Facilities)
• Launch site operations and disposal

2.17 Unmanned Aerial Vehicles (all)

• Introduction into electronic and electro-mechanical systems
• Theoretical and experimental design
• Modeling of mechanical and electrical systems
• Sensors
• Actuators
• Micro controllers
• Software
• Practical application of autopilot systems
• Enhancement of existing UAV systems
• Integration into research projects of the Institute of Aerospace Technology

2.18 Current Topics of Systems Engin. 2 (all)

The catalogue of Elective Modules of the program comprises of the modules listed below. Further topics may be included based on the current research interests and project of HSB’s academic teaching staff. Students will receive information on the respective module selection in due time. Elective modules that are not listed in the examination regulations can be recognized for the module “Current Topics of Systems Engineering”.

The students deal with a current scientific question and, for the most part, independently develop the current state of research on this. Based on the current state of research, a novel solution concept is being developed and evaluated.

The master seminar includes an introduction into the methods and techniques of scientific work:

• literature research in relevant specialist databases
• scientific writing including setting topics, reasoning and correct quoting
• scientific review process, giving feedback

Results of the work are presented and discussed in the master’s seminar.

The final results will be presented in a colloquium.