Racing simulation course with real data
About our
Racing Simulation Course with Real Data
Immerse yourself in the world of motorsports, teaching participants how to use real data to simulate and optimize the performance of racing vehicles. Concepts such as telemetry, vehicle dynamics, tire modeling, and race strategies are explored. Students will learn to analyze sensor data, adjust simulation parameters, and evaluate the impact of modifications on performance, preparing them to make data-driven decisions that can make all the difference on the track.
Immerse yourself in the world of motorsports, teaching participants how to use real data to simulate and optimize the performance of racing vehicles.
The course provides tools and knowledge to understand how simulation software works, interpret simulation results, and correlate them with real-world data. It fosters the development of skills in data analysis, configuration optimization, and strategic decision-making, enabling participants to improve vehicle performance and optimize strategies for victory.
Racing simulation course with real data
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
599 $
Competencies and results
What you will learn
1. Data Analysis and Simulation of Naval Careers
- Identify and understand the fundamentals of data analysis applied to naval racing.
- Develop skills in simulating naval racing scenarios using specialized software.
- Evaluate vessel performance through the simulation of different racing conditions.
- Analyze key variables such as speed, drag, and behavior in different sea conditions.
- Interpret the simulation results to optimize the design and strategy of naval races.
2. Design and Performance Optimization in Naval Simulations
- Master the analysis of critical phenomena in naval structures:
- Understand and evaluate flap-lag-torsion couplings, essential for structural stability.
- Analyze whirl flutter, a crucial challenge in rotors and propellers.
- Study fatigue and its effects on component lifespan.
- Delve into the design and analysis of composite materials:
- Dimension laminates using finite element (FE) methods.
- Design and analyze composite and bonded joints.
- Apply advanced techniques for structural integrity management:
- Implement strategies of damage tolerance, anticipating and managing damage.
- Use non-destructive testing (NDT) methods:
- Ultrasound (UT).
- Radiography (RT).
- Thermography.
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. Advanced Simulation of Naval Races and Results Analysis
- Design of realistic naval racing simulations, incorporating complex variables such as ocean currents, wind, and waves.
- Detailed analysis of data generated in the simulations, identifying key patterns and trends for performance optimization.
- Navigation optimization using predictive models and intelligent route algorithms, considering energy efficiency and safety.
- Evaluation of the impact of different navigation strategies on race times, resource management, and real-time decision-making.
- Proficiency in advanced simulation tools and specialized naval racing software for data visualization and analysis.
5. Simulation of Naval Regattas with Real Information
5. Naval Race Simulation with Real-Time Data
Study naval race simulation models, including the analysis of real-time meteorological and oceanographic data.
Understand the hydrodynamics and aerodynamics of vessels, considering factors such as drag, lift, and sail behavior.
Learn about race strategy design and optimization, using simulation tools to predict vessel performance and make tactical decisions.
Explore the use of sensors and data acquisition systems to gather information on vessel performance and environmental conditions.
Become familiar with race simulation software and learn how to use it to analyze different scenarios and race strategies.
Analyze the impact of meteorological and oceanographic conditions on vessel performance and develop strategies to optimize performance under different conditions.
Study The design and construction of racing boats, including the use of composite materials and advanced manufacturing techniques.
Learn about the racing rules and how to interpret and apply them in the context of simulation.
Practice real-time tactical and strategic decision-making, using simulations to evaluate different options and improve decision-making skills.
Explore the use of artificial intelligence and machine learning in race simulation, including the development of predictive models and the optimization of race strategies.
6. Evaluation of Strategies and Tactics in Simulated Naval Races
6. Evaluation of Strategies and Tactics in Simulated Naval Races
- Identify and evaluate the navigation strategies employed in naval simulations.
- Analyze the positioning and maneuvering tactics of vessels in different simulated scenarios.
- Evaluate the impact of environmental conditions (wind, currents, waves) on vessel performance.
- Analyze the effectiveness of different formations and attack/defense strategies used.
- Understand and apply the principles of instrument navigation and celestial navigation in the context of simulations.
- Evaluate resource management and decision-making under pressure in simulated scenarios.
- Identify and analyze tactical and strategic errors, and propose improvements.
- Use simulation tools to analyze the performance and efficiency of naval strategies.
- Interpret and analyze simulation data to optimize strategies and tactics.
- Develop leadership and teamwork skills in the simulated environment.
Who this program is for:
Racing simulation course with real data
- Engineers with degrees in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or other related engineering fields.
- Professionals working in rotorcraft/eVTOL OEMs, MRO (Maintenance, Repair, and Overhaul) companies, consulting firms, or technology centers.
- Experts in areas such as Flight Testing, Certification, Avionics, Control, and Flight Dynamics who wish to deepen their knowledge and specialize.
- Staff from organizations Regulators/authorities and professionals involved in UAM/eVTOL (Urban Air Mobility/eVTOL) projects who need to acquire skills in regulatory compliance and aviation safety.
Recommendations: Basic knowledge of aerodynamics, control, and structures is suggested. The course is taught in Spanish and English (ES/EN); a B2+/C1 language level is recommended. Bridging tracks will be provided if necessary.
- 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 Data Analytics in Naval Racing
1.2 Fundamentals of Naval Simulation: Types and Tools
1.3 Collection and Preparation of Relevant Data
1.4 Simulation of Weather and Environmental Conditions
1.5 Modeling of Vessels and Their Characteristics
1.6 Simulation of Race Routes and Strategies
1.7 Analysis of Key Performance Variables
1.8 Interpretation of Results and Data Visualization
1.9 Validation and Calibration of Simulation Models
1.10 Practical Applications: Prediction and Optimization
2.2 Introduction to Naval Design and Simulation
2.2 Key Design Parameters in Naval Simulations
2.3 Hull and Structure Modeling: Efficiency and Strength
2.4 Naval Propulsion: Engines, Propellers, and Steering Systems
2.5 Performance Analysis: Speed, Fuel Consumption, and Maneuverability
2.6 Design Optimization: Simulation Software and Tools
2.7 Environmental Influence: Wind, Waves, and Currents
2.8 Race Strategy Design: Route Optimization
2.9 Simulation and Results Analysis: Adjustments and Continuous Improvement
2.20 Design and Performance: Conclusions and Future Research
3.3 Introduction to Data Analysis in Naval Racing
3.2 Data Sources in Nautical Competitions
3.3 Naval Simulation Tools: Introduction
3.4 Vessel Modeling and Simulation
3.5 Analysis of Key Performance Indicators (KPIs)
3.6 Visualization and Presentation of Naval Data
3.7 Introduction to Race Simulation
3.8 Creating Simulation Scenarios
3.9 Validation and Verification of Simulations
3.30 Case Study: Analysis of a Real Naval Race
4.4 Introduction to Naval Racing Simulation: Concepts and Fundamentals
4.2 Data Collection and Analysis: Sources and Methods
4.3 Vessel Modeling: Geometry and Characteristics
4.4 Force Simulation: Drag, Wind, and Currents
4.5 Simulation Software: Selection and Configuration
4.6 Model Validation and Verification
4.7 Race Simulation: Establishing Rules and Scenarios
4.8 Visualizing Results and Initial Analysis
4.9 Identifying Key Variables and Sensitivity Analysis
4.40 Creating Simulation Reports and Documentation
5.5 Introduction to Data Analysis in Naval Careers
5.5 Creating Simulation Environments
5.3 Collecting and Preparing Real Data
5.4 Implementing Basic Simulation Models
5.5 Analyzing and Visualizing Results
5.6 Introduction to Key Variables in Simulation
5.7 Tools and Software for Naval Simulation
5.8 Data Interpretation and Initial Decision Making
5.9 Case Studies: Practical Examples
5.50 Fundamentals of Simulation and Analysis
6.6 Designing Simulated Naval Race Strategies
6.2 Naval Race Tactics: Introduction and Fundamentals
6.3 Analysis of Weather Conditions and Their Impact on Races
6.4 Evaluation of Navigation Strategies and Route Selection
6.5 Crew and Resource Management in Simulation
6.6 Simulation of Overtaking and Defense Tactics
6.7 Post-Race Data Analysis and Strategy Adjustment
6.8 Strategy Optimization for Different Types of Races
6.9 Damage Simulation and Risk Management
6.60 Evaluation of the Effectiveness of the Tactics Employed
- 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”).