ADS-B course in air traffic
About our
The ADS-B in Air Traffic course offers an immersive experience in the Automatic Dependent Surveillance-Broadcast (ADS-B) system, covering its operation, components, and application in air traffic management. It explores data transmission and reception, radar integration, and enhancing safety and efficiency in the airspace. It focuses on performance-based navigation (PBN) and air traffic flow management (ATFM), using simulation and data analysis tools to understand their operational impact.
The course covers key aspects such as aircraft identification, surveillance in remote areas, and the evolution of ADS-B into future air traffic systems. Participants will learn about the benefits of ADS-B in reducing accidents and optimizing routes. This training prepares professionals for roles such as air traffic controllers, aeronautical systems analysts, and aviation safety specialists, enhancing their skills in a constantly evolving technological environment.
ADS-B course in air traffic
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
399 $
Competencies and results
What you will learn
1. ADS-B Mastery: Air Traffic Analysis and Management
- Identify and understand the fundamental principles of the ADS-B (Automatic Dependent Surveillance-Broadcast) system.
- Interpret and analyze the data received through ADS-B, including aircraft position, altitude, speed, and heading.
- Use specialized tools and software for real-time air traffic visualization and analysis.
- Apply the acquired knowledge for efficient air traffic management, optimizing safety and efficiency.
- Understand the structure and operation of ground stations and the communication systems involved in ADS-B.
- Analyze different ADS-B usage scenarios, such as airspace surveillance, route management, and flight optimization.
- Evaluate the advantages and limitations of ADS-B compared to other air traffic surveillance systems.
- Apply problem-solving and decision-making techniques Decisions in situations related to air traffic and the ADS-B system.
Become familiar with the regulations and standards related to the use of ADS-B in civil aviation.
Develop practical skills for air traffic analysis and management using ADS-B data.
2. Rotor Performance Optimization: Modeling and Analysis
- Identify and evaluate rotor failure mechanisms, including fatigue analysis, whirl flutter, and flap-lag-torsion couplings, to optimize their design and durability.
- Apply finite element (FE) modeling techniques for the dimensioning of laminated structures in composites, including the design of joints and bonded joints, optimizing strength and weight.
- Integrate damage tolerance methodologies and apply non-destructive testing (NDT) techniques such as UT/RT/thermography for rotor inspection and predictive maintenance, ensuring safety and longevity.
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.
1. ADS-B Mastery: Air Traffic Analysis and Management
Here is the requested content:
**ADS-B Data Collection and Decoding:** You will learn to extract crucial information from ADS-B transmissions, including aircraft position, speed, altitude, and heading. You will master the techniques to decode this raw data and convert it into useful information.
**Air Traffic Visualization and Analysis:** You will acquire the skills to use specialized software and data analysis tools to visualize air traffic in real time and analyze flight patterns. You will understand how to identify congestion, optimized routes, and potential risks.
**ADS-B-Based Air Traffic Management:** You will explore the fundamentals of air traffic management (ATM) and how ADS-B is revolutionizing this field. You will learn how to use ADS-B data to improve the efficiency, safety, and capacity of air operations.
**ADS-B Data Security and Protection:** You will study the security aspects related to the transmission and storage of ADS-B data, including protection against unauthorized access and the analysis of potential vulnerabilities.
**Advanced ADS-B Applications:** You will explore advanced ADS-B applications, such as cooperative surveillance, performance-based navigation (PBN), and aircraft tracking in remote areas or areas with limited radar coverage.
**ADS-B Applications:**
5. ADS-B Analysis for Air Traffic Management
- Identification and understanding of ADS-B (Automatic Dependent Surveillance-Broadcast) data.
- Analysis of ADS-B information for air traffic monitoring and control.
- Application of ADS-B data in route optimization and traffic flow management.
- Use of specific tools and software for ADS-B data analysis.
- Interpretation of ADS-B information for anomaly detection and improvement of air safety.
- Application of ADS-B in air traffic planning and forecasting.
- Integration of ADS-B with other air traffic management systems.
- Analysis of the challenges and opportunities in the implementation and use of ADS-B.
- Understanding of the standards and regulations related to ADS-B.
- Case studies and practical examples of the application of ADS-B in real-world scenarios.
6. Analysis and Application of ADS-B in Effective Air Traffic Control
6. Analysis and Application of ADS-B in Effective Air Traffic Control
- Fundamental Principles of ADS-B: Understanding its operation, components, and key technologies.
- ADS-B System Architecture: Exploring the ground and space infrastructure that supports the system.
- ADS-B Data Sources: Identifying and analyzing the information provided by ADS-B (position, speed, altitude, etc.).
- Integrating ADS-B into Air Traffic Control (ATC): Learning how ADS-B improves situational awareness and operational efficiency.
- Advanced Applications of ADS-B: Investigating the use of ADS-B in airspace management, navigation, and safety.
- Challenges and Limitations of ADS-B: Discussing the issues of accuracy, coverage, and cybersecurity.
- Data Analysis ADS-B: Develop skills to interpret and use ADS-B data for decision-making.
Impact of ADS-B on aviation safety: Evaluate how ADS-B contributes to collision avoidance and improved overall safety.
ADS-B regulations and standards: Understand the international standards and regulations governing the use of ADS-B.
The future of ADS-B: Explore emerging trends and innovations in the field of ADS-B.
Who this program is for:
ADS-B course in air traffic
- Graduates in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related fields.
- Professionals in OEM rotorcraft/eVTOL, MRO, consulting, and technology centers.
- Flight Testing, certification, avionics, control, and dynamics seeking specialization.
- Regulators/authorities and UAM/eVTOL professionals requiring compliance skills.
Recommended requirements: foundation in aerodynamics and control and structures; ES/EN B2+/C1. We offer bridging tracks if you need them.
- 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 Introduction to ADS-B: Concepts and Fundamentals
1.2 How ADS-B Works: Data Transmission and Reception
1.3 ADS-B System Components: Equipment and Infrastructure
1.4 ADS-B Messages: Types and Content of Transmitted Data
1.5 Air Traffic Structure: Flows and Patterns
1.6 ADS-B Data Analysis: Tools and Methodologies
1.7 Interpreting ADS-B Data: Position, Speed, Altitude, and Other Parameters
1.8 ADS-B Applications in Air Traffic Control
1.9 Limitations of ADS-B: Accuracy, Coverage, and Reliability
1.10 ADS-B Regulatory Framework: Regulations and Standards
2.2 Aerodynamic Modeling of Rotors: Fundamentals and Simulation
2.2 Rotor Design: Airfoil Selection and Analysis
2.3 Rotor Performance Analysis: Thrust, Power, and Efficiency
2.4 Effects of Flight State on Rotor Performance
2.5 Rotor Optimization Techniques: Design Tuning and Control
2.6 Rotor System Modeling: Rotor-Flywork Interaction
2.7 Rotor Vibration Analysis: Identification and Mitigation
2.8 Rotor Noise Analysis: Prediction and Reduction
2.9 Rotor Modeling in Wind Conditions: Analysis and Adaptation
2.20 Practical Applications: Case Studies and Industry Examples
3.3 Introduction to ADS-B: Fundamentals and Components
3.2 ADS-B Operating Principles: Data Transmission and Reception
3.3 ADS-B Applications in Modern Aviation
3.4 Advantages and Limitations of ADS-B: Comparison with Other Systems
3.5 ADS-B Data Collection and Visualization: Tools and Platforms
3.6 The Future of ADS-B: Trends and Technological Developments
2.3 Introduction to Rotor Aerodynamics: Impulse and Momentum Theory
2.2 Rotor Modeling: Blade Element Methods and Disk Theory
2.3 Rotor Performance Analysis: Thrust, Power, and Efficiency
2.4 Design and Optimization of Rotor Airfoils
2.5 Numerical Simulation of Rotors: CFD and Finite Element Methods
2.6 Factors Affecting Rotor Performance: Ground Effect, Wind, and Altitude
2.7 Performance Optimization Strategies and Algorithms
3.3 ADS-B Data Analysis: Aircraft, Route, and Flight Pattern Identification
3.2 Air Traffic Management with ADS-B: Separation, Surveillance, and Alerting
3.3 Optimizing Airspace Capacity Using ADS-B
3.4 Impact of ADS-B on Aviation Safety: Conflict Detection and Accident Prevention
3.5 The Role of ADS-B in Emergency Management and Search and Rescue
3.6 ADS-B-Related Legislation and Regulations
4.3 Real-Time ADS-B Data Collection: Data Sources and Formats
4.2 Real-Time ADS-B Data Analysis Tools: Software and Platforms
4.3 Real-Time Air Traffic Visualization and Monitoring
4.4 Real-Time Identification and Analysis of Flight Trends and Patterns
4.5 Real-Time Detection of Anomalies and Critical Events
4.6 Applications of Predictive Analytics in Air Traffic Air Traffic Management with ADS-B
5.3 Designing Air Traffic Management Strategies Based on ADS-B
5.2 Implementing Air Traffic Management Systems with ADS-B
5.3 Optimizing Routes and Flight Profiles Using ADS-B Data
5.4 Managing Air Traffic Congestion with ADS-B
5.5 Coordination and Collaboration Among Different Air Traffic Stakeholders with ADS-B
5.6 Evaluating the Performance and Efficiency of Air Traffic Management Strategies Based on ADS-B
6.3 Rotor Performance Analysis: Factors Influencing Efficiency
6.2 Rotor Design: Optimizing Profiles, Pitch, and Geometry
6.3 Rotor Simulation and Modeling: Tools and Techniques
6.4 Optimization Techniques: Genetic Algorithms and Optimization Methods
6.5 Evaluating Results: Sensitivity Analysis and Validation
6.6 Improving Rotor Performance: Case Studies and Best Practices
7.3 ADS-B Fundamentals Signals, Data, and Protocols
7.2 Implementing ADS-B in Air Traffic Control: Surveillance and Separation
7.3 Advantages of ADS-B in Air Traffic Control: Increased Accuracy and Efficiency
7.4 Challenges of ADS-B in Air Traffic Control: Integration and Security
7.5 Advanced Applications of ADS-B in Air Traffic Control: Traffic Flow Management and Conflict Detection
7.6 The Future of ADS-B in Air Traffic Control: Emerging Technologies and Trends
8.3 Rotor Modeling: Methods and Tools
8.2 Key Rotor Design Parameters: Pitch, Airfoil, and Rotational Speed
8.3 Rotor Performance Analysis: Thrust, Power, and Efficiency
8.4 Rotor Design Optimization: Techniques and Algorithms
8.5 Case Studies: Best Practices and Real-World Examples
8.6 Design Considerations: Manufacturing, Maintenance, and Costs
4.4 Introduction to ADS-B: Concepts and Operation
4.2 ADS-B Data Structure and Messages
4.3 Tools and Software for ADS-B Analysis
4.4 ADS-B Data Collection and Visualization
4.5 ADS-B Data Sources: Terrestrial and Satellite
4.6 ADS-B Data Calibration and Validation
4.7 Impact of ADS-B on Air Safety
4.8 Limitations and Challenges of ADS-B
2.4 Introduction to Rotor Modeling: Basic Principles
2.2 Momentum Theory for Rotor Analysis
2.3 Blade Element Theory (BET) Modeling
2.4 Numerical Simulation of Flow in Rotors
2.5 Rotor Aerodynamics Analysis
2.6 Effects of Rotor Geometry on Performance
2.7 Rotor Design Optimization
2.8 Rotor Modeling Software
3.4 Fundamentals of Air Traffic Management
3.2 The Role of ADS-B in Air Traffic Management
3.3 Air Traffic Monitoring with ADS-B
3.4 Conflict Detection and Resolution with ADS-B
3.5 Route and Traffic Flow Optimization
3.6 Using ADS-B Data for Airspace Planning
3.7 Integrating ADS-B with Other Air Traffic Control Systems
3.8 Challenges and Solutions in Air Traffic Management
4.4 Applications of ADS-B in Air Traffic Control
4.2 Automatic Dependent Surveillance – Broadcast (ADS-B)
4.3 Benefits of ADS-B for Air Safety
4.4 Traffic Warning and Collision Avoidance Systems
4.5 Use of ADS-B in High-Density Traffic Environments
4.6 Integration of ADS-B Data with Radar
4.7 Separation Management with ADS-B
4.8 The Future of ADS-B in Air Traffic Control
5.4 Real-Time Analysis Systems Architecture
5.2 Real-Time Visualization Tools
5.3 Real-Time Data Analysis: Techniques and Methods
5.4 Detection of Anomalies and Critical Events
5.5 Use of ADS-B Data for Air Traffic Prediction
5.6 Integration with Early Warning Systems
5.7 Design of Real-Time Control Panels
5.8 Security and Scalability of Analysis Systems
6.4 Rotor Performance Optimization Strategies
6.2 Aerodynamic Design of Rotor Blades
6.3 Airfoil Selection Aerodynamics
6.4 Rotor Energy Efficiency Analysis
6.5 Rotor Noise Reduction
6.6 Optimization for Different Flight Conditions
6.7 CFD Simulation and Performance Optimization
6.8 Advanced Optimization Techniques
7.4 Air Traffic Regulatory Framework
7.2 Implementation of ADS-B in Air Traffic Control
7.3 ADS-B Standards and Protocols
7.4 ADS-B-Based Traffic Control
7.5 Emergency and Critical Situation Management
7.6 Integration with Air Navigation Systems
7.7 Future Trends in Air Traffic Control
7.8 Regulatory and Technological Challenges
8.4 Rotor Performance Metrics
8.2 Analysis of the Influence of Design Variables
8.3 Rotor Modeling Under Different Flight Conditions
8.4 Stability and Control Analysis
8.5 Design Optimization for Efficiency
8.6 Material Selection and Costs
8.7 Rotor Failure Simulation
8.8 Model Validation and Verification
5.5 Implementing ADS-B in Naval Environments: Integration and Applications
5.5 ADS-B Architecture: Components and Operation
5.3 ADS-B Data Analysis: Extracting Relevant Information
5.4 ADS-B-Based Air Traffic Management: Strategies and Tools
5.5 ADS-B Applications in Maritime Navigation and Safety
5.6 ADS-B and Route Optimization: Efficiency and Fuel Savings
5.7 Maritime Traffic Monitoring with ADS-B: Collision Detection and Prevention
5.8 Case Studies: Successful Implementation of ADS-B in Naval Environments
5.9 Challenges and Opportunities in Current ADS-B Implementation
5.50 The Future of ADS-B: Trends and Technological Developments
6.6 Introduction to ADS-B: Fundamentals and Operation
6.2 ADS-B System Components: Transmitters, Receivers, and Antennas
6.3 ADS-B Data: Message Types and Their Interpretation
6.4 ADS-B Data Analysis: Tools and Techniques
6.5 ADS-B Applications in Air Traffic Management
6.6 Automatic Dependent Surveillance: Improvements in Air Safety
6.7 ADS-B Implementation: Challenges and Considerations
6.8 Integrating ADS-B into Air Traffic Control
6.9 Case Studies: Successful ADS-B Applications
6.60 Future Trends in ADS-B: Innovations and Developments
- 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”).