Orbital dynamics simulation course
About our
The Orbital Dynamics Simulation Course explores the fascinating world of orbital mechanics through simulation. It focuses on the use of specialized software to analyze and predict the motion of satellites, spacecraft, and other objects in space. It covers topics such as orbital propagation, orbital transfers, gravitational perturbations, and the design of orbital maneuvers. The course provides a solid foundation in the fundamentals of orbital dynamics, combined with practical applications through simulations.
Participants will learn to model complex systems and understand the factors that influence space trajectories. Special attention will be given to essential tools for space missions, from the design phase to on-orbit operation. Key concepts such as orbital kinematics, ephemeris calculation, and mission planning are covered. This training is ideal for engineers, scientists, and students interested in space exploration.
Orbital dynamics simulation course
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
599 $
Competencies and results
What you will learn
1. Deep Mastery of Orbital Dynamics and Spatial Simulation
Here is the requested content:
1. In-depth Mastery of Orbital Dynamics and Space Simulation
- Understand the fundamentals of orbital mechanics: Kepler’s laws, orbital elements, and perturbations.
- Model and simulate orbital trajectories using specialized software, including orbital transfer analysis and space rendezvous.
- Analyze the influence of the atmosphere, solar pressure, and non-ideal gravitational fields on satellite orbits.
- Master attitude control and space navigation techniques, including the use of sensors and actuators.
- Apply the acquired knowledge to the design and evaluation of space missions, from the conception phase to operation.
2. Advanced Simulation of Trajectories and Celestial Mechanics
- Master the fundamentals of celestial mechanics and its application to navigation.
- Understand error propagation models in trajectory determination.
- Use specialized software for the accurate simulation of trajectories in space.
- Analyze and predict the motion of celestial objects, such as satellites and spacecraft.
- Apply optimization techniques for space mission planning.
- Study the effects of gravitational and non-gravitational perturbations on trajectories.
- Develop skills in interpreting navigation and positioning data.
- Become familiar with astronomical reference systems and their importance in navigation.
- Learn about space propulsion technologies and their impact on trajectories.
- Simulate complex space navigation scenarios and evaluate their feasibility.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Comprehensive Exploration of Orbital Simulation and its Applications
4. Comprehensive Exploration of Orbital Simulation and its Applications
- Mastery of the fundamentals of orbital simulation: understanding Kepler’s laws, the equations of orbital motion, and reference frames.
- Analysis and design of orbital trajectories: orbit calculations, orbital maneuvers (Hohmann transfers, rendezvous), and space mission design.
- Exploration of orbital perturbations: modeling and analysis of the effects of non-Newtonian gravity, solar radiation pressure, and atmospheric drag.
- Application of orbital simulation software: use of specialized tools to simulate the behavior of satellites and spacecraft in different orbital scenarios.
- Study of the applications of orbital simulation: analysis of Earth observation missions, telecommunications, satellite navigation (GPS, Galileo), and space exploration.
- Implementation of
- Orbital control algorithms: design and implementation of strategies for controlling the attitude and orbit of satellites.
- Risk analysis and mitigation in orbital missions: evaluation of satellite collisions, space debris management, and design of protection systems.
- Atmospheric reentry simulation: modeling of aerothermal conditions and the behavior of spacecraft during reentry.
- Exploration of emerging technologies in orbital simulation: study of the latest trends in artificial intelligence, machine learning, and high-performance simulation applied to orbital dynamics.
- Case study: application of orbital simulation in real space missions, from design to operation.
5. Orbital Simulation: Fundamentals, Applications and Advanced Development
- Understand the fundamental principles of orbital mechanics, including Kepler’s laws and gravity.
- Master orbital trajectory analysis, orbital element determination, and ephemeris prediction.
- Explore different types of orbits: geostationary, heliocentric, transfer, and launch.
- Use orbital simulation software to model space missions and analyze their results.
- Apply advanced simulation techniques, including perturbations, maneuvers, and attitude control.
- Understand the applications of orbital simulation in space navigation, satellite design, and deep space exploration.
- Develop skills in programming and analyzing data related to orbital simulations.
- Analyze the challenges and opportunities of orbital simulation in the space industry.
6. Orbital Simulation: Trajectories, Modeling and Dynamic Analysis
6. Orbital Simulation: Trajectories, Modeling, and Dynamic Analysis
Master the analysis of orbital trajectories, including orbit determination, maneuvers, and orbital transfers.
Learn to model the dynamics of satellites and objects in orbit, considering gravitational, atmospheric, and solar pressure perturbations.
Use orbital simulation software to analyze and predict the behavior of space systems.
Understand and apply attitude and orbit control techniques to ensure the stability and precise positioning of satellites.
Study the effects of the space environment, including radiation and micrometeorite impact, on the design and operation of spacecraft.
Become familiar with orbital propulsion systems, including rockets, ion engines, and solar sails.
Analyze the design and optimization of space missions, considering the objectives of the mission, launch constraints, and costs.
Evaluate the feasibility and performance of different satellite designs and space system architectures using orbital simulations.
Understand the legal and safety aspects associated with space operations, including space traffic management and collision avoidance.
Apply the acquired knowledge to solve practical problems in orbital simulation and dynamic analysis related to real space missions.
Who this program is for:
Orbital dynamics simulation course
- Engineers with degrees in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related disciplines.
- Industry experts in OEM rotorcraft/eVTOL, MRO (Maintenance, Repair, and Operations), aerospace consulting, and personnel from technology centers.
- Specialists in Flight Testing, aeronautical certification, avionics, control systems, and flight dynamics who wish to deepen their knowledge.
- Personnel from regulatory bodies and authorities, as well as professionals focused on The development of UAM/eVTOL programs that need to strengthen their compliance skills.
Suggested Requirements: Basic knowledge of aerodynamics, control systems, and structures is recommended. Fluency in English or Spanish at level B2+ or C1 is required. Bridging tracks are provided to facilitate understanding.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Fundamentals of Orbital Mechanics: Kepler’s Laws and the Law of Universal Gravitation
1.2 Coordinate Systems: Terrestrial, Celestial, and Orbital
1.3 Orbital Elements: Definition and Interpretation
1.4 Modeling Gravitational Attraction: Point Bodies and Gravity Models
1.5 Introduction to the Equations of Orbital Motion
1.6 Simulation Techniques: Numerical Integration and Algorithms
1.7 Simulation Tools: Software and Programming Languages
1.8 Analysis of Orbital Trajectories: Design and Optimization
1.9 Practical Applications: Satellites, Space Exploration, and Defense
1.10 Risk Assessment and Mission Planning: Key Considerations
2. Introduction to Orbital Trajectories
3. Fundamentals of Celestial Mechanics
4. Modeling Gravitational Forces
5. Numerical Integration of Equations of Motion
6. Orbit Propagation: Concepts and Methods
7. Orbital Perturbations and Their Effects
8. Reference Frames and Coordinates
9. Simulation of Orbital Maneuvers
20. Analysis of Orbital Transfers
22. Simulation Software and Tools
3.3 Fundamental Concepts of Orbital Dynamics
3.2 Kepler’s Laws and the Orbit Equation
3.3 Orbital Coordinate Systems
3.4 Introduction to Orbital Simulation
3.5 Simulation Tools and Software
3.6 Modeling Gravitational Forces
3.7 Orbital Perturbations: Modeling and Analysis
3.8 Orbital Elements and Their Evolution
3.9 Trajectory and Maneuver Analysis
3.30 Case Study: Satellite Orbit Design
4.4 Introduction to Orbital Simulation and its Fundamentals
4.2 Modeling Objects and Forces in Space
4.3 Numerical Integration and Orbital Propagation Algorithms
4.4 Orbit Analysis: Classical and Perturbed
4.5 Orbital Simulation Software and Tools
4.6 Applications in Space Missions and Satellites
4.7 Trajectory Design and Optimization
4.8 Data Management and Visualization in Simulations
4.9 Case Studies: Historical and Current Missions
4.40 The Future of Orbital Simulation: Trends and Challenges
5.5 Fundamentals of Orbital Dynamics: Kepler’s and Newton’s Laws
5.5 Orbital Elements: Definition and Meaning
5.3 Basic Orbital Simulations: Software and Tools
5.4 Types of Orbits: Geostationary, Heliocentric, etc.
5.5 Fundamental Equations of Orbital Dynamics
5.6 Introduction to Orbital Perturbations
5.7 Implementing Simulations in Python
5.8 Visualization and Analysis of Orbital Trajectories
5.5 Celestial Mechanics: The Solar System and its Components
5.5 Orbital Transfer Trajectories: Hohmann and More
5.3 Calculation of Orbital Maneuvers: Impulse and Delta-V
5.4 Gravity Modeling: Terrestrial and Planetary
5.5 Influence of Solar and Lunar Gravity
5.6 Effect of Atmospheric Drag
5.7 Determining Trajectories for Interplanetary Missions
5.8 Space Trajectory Simulation Software
3.5 Orbit Analysis: Stability and Evolution
3.5 Orbital Perturbations: Effects and Modeling
3.3 Simulation of Astronomical Events: Eclipses and Transits
3.4 Modeling of Astronomical Sensors and Telescopes
3.5 Techniques for Determining and Tracking Orbits
3.6 Simulation Applications in Astrometry
3.7 Analysis of Astronomical Simulation Data
3.8 Specific Software for Astronomical Simulations
4.5 Applications of Orbital Simulation in Space Missions
4.5 Satellite Design: Orbits and Subsystems
4.3 Simulation of Space Propulsion Systems
4.4 Simulation Applications in Space Navigation
4.5 Simulation in Risk and Reliability Analysis
4.6 Applications in Earth Observation
4.7 Simulation in Launch System Design
4.8 Case Studies: Successful Space Missions
5.5 Mathematical Foundations of Orbital Dynamics
5.5 Orbital Simulation Software: Options and Comparisons
5.3 Developing Custom Simulation Software
5.4 Advanced Numerical Integration Algorithms
5.5 Perturbation Modeling: Advanced Techniques
5.6 Mission Design: Trajectory Optimization
5.7 Data Integration: Sensors and Telemetry
5.8 Artificial Intelligence Applications in Simulation
5.9 Verification and Validation of Orbital Simulations
5.50 Developing Tools for Data Analysis
6.5 Modeling the Space Environment: Gravity, Atmosphere, and Radiation
6.5 Orbital Stability Analysis: Methods and Tools
6.3 Satellite Modeling: Structure and Dynamics
6.4 Analysis of Satellite Dynamic Behavior
6.5 Simulation of Attitude Control Systems
6.6 Propulsion Simulation Modeling and Performance
6.7 Trajectory Analysis: Optimization and Design
6.8 Mission Simulation: Scenarios and Risk Analysis
7.5 Orbital Simulations for Mission Design
7.5 Applications in Interplanetary Trajectory Design
7.3 Simulation of Space Rendezvous and Docking
7.4 Simulation of Atmospheric Reentry
7.5 Simulation of Navigation and Control Systems
7.6 Applications in Space Debris Management
7.7 Simulation in Satellite Impact Analysis
7.8 Simulation of Anomalous Events and Contingencies
8.5 Orbital Trajectory Prediction: Algorithms and Methods
8.5 Perturbation Modeling for Accurate Prediction
8.3 Simulation of Orbital Maneuvers and Propulsion
8.4 Prediction Satellite Reentry and Disintegration
8.5 Sensitivity Analysis and Error Propagation
8.6 Implementation of Real-Time Prediction Systems
8.7 Software and Tools for Orbital Prediction
8.8 Case Studies: Prediction of Orbital Events
6.6 Modeling Equations of Orbital Motion
6.2 Numerical Methods for Trajectory Simulation
6.3 Introduction to Coordinate Systems and Transformations
6.4 Analysis of Orbital Perturbations
6.5 Modeling the Earth’s Atmosphere and Drag Effects
6.6 Implementation of Orbital Determination Algorithms
6.7 Stability Analysis and Attitude Control of Satellites
6.8 Simulation of Orbital Maneuvers and Transfers
6.9 Modeling Long-Term Orbital Propagation
6.60 Case Studies: Design and Analysis of Space Missions
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).