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CourseAutomotive & Motorsport Enrolment open

Racing simulation course with real data

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.

Duration3 months
ModeHybrid
LanguageEnglish / Spanish
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Data Analysis and Simulation of Naval Careers

02

Design and Performance Optimization in Naval Simulations

03

Comprehensive user-oriented design and validation (from modeling to manufacturing)

04

Advanced Simulation of Naval Races and Results Analysis

05

Simulation of Naval Regattas with Real Information

06

Evaluation of Strategies and Tactics in Simulated Naval Races

07

Naval Career Simulation: Analysis and Optimization

08

Simulation and Analysis of Naval Careers: Real Data and Strategies

Profile

Who it's for

  • 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 & tools

What you'll work with

  • 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.
Syllabus

10 modules

  1. 1.1Introduction to Data Analytics in Naval Racing
  2. 1.2Fundamentals of Naval Simulation: Types and Tools
  3. 1.3Collection and Preparation of Relevant Data
  4. 1.4Simulation of Weather and Environmental Conditions
  5. 1.5Modeling of Vessels and Their Characteristics
  6. 1.6Simulation of Race Routes and Strategies
  7. 1.7Analysis of Key Performance Variables
  8. 1.8Interpretation of Results and Data Visualization
  9. 1.9Validation and Calibration of Simulation Models
  10. 1.10Practical Applications: Prediction and Optimization
  1. 2.2Introduction to Naval Design and Simulation
  2. 2.2Key Design Parameters in Naval Simulations
  3. 2.3Hull and Structure Modeling: Efficiency and Strength
  4. 2.4Naval Propulsion: Engines, Propellers, and Steering Systems
  5. 2.5Performance Analysis: Speed, Fuel Consumption, and Maneuverability
  6. 2.6Design Optimization: Simulation Software and Tools
  7. 2.7Environmental Influence: Wind, Waves, and Currents
  8. 2.8Race Strategy Design: Route Optimization
  9. 2.9Simulation and Results Analysis: Adjustments and Continuous Improvement
  10. 2.20Design and Performance: Conclusions and Future Research
  1. 3.3Introduction to Data Analysis in Naval Racing
  2. 3.2Data Sources in Nautical Competitions
  3. 3.3Naval Simulation Tools: Introduction
  4. 3.4Vessel Modeling and Simulation
  5. 3.5Analysis of Key Performance Indicators (KPIs)
  6. 3.6Visualization and Presentation of Naval Data
  7. 3.7Introduction to Race Simulation
  8. 3.8Creating Simulation Scenarios
  9. 3.9Validation and Verification of Simulations
  10. 3.30Case Study: Analysis of a Real Naval Race
  1. 4.4Introduction to Naval Racing Simulation: Concepts and Fundamentals
  2. 4.2Data Collection and Analysis: Sources and Methods
  3. 4.3Vessel Modeling: Geometry and Characteristics
  4. 4.4Force Simulation: Drag, Wind, and Currents
  5. 4.5Simulation Software: Selection and Configuration
  6. 4.6Model Validation and Verification
  7. 4.7Race Simulation: Establishing Rules and Scenarios
  8. 4.8Visualizing Results and Initial Analysis
  9. 4.9Identifying Key Variables and Sensitivity Analysis
  10. 4.40Creating Simulation Reports and Documentation
  1. 5.5Introduction to Data Analysis in Naval Careers
  2. 5.5Creating Simulation Environments
  3. 5.3Collecting and Preparing Real Data
  4. 5.4Implementing Basic Simulation Models
  5. 5.5Analyzing and Visualizing Results
  6. 5.6Introduction to Key Variables in Simulation
  7. 5.7Tools and Software for Naval Simulation
  8. 5.8Data Interpretation and Initial Decision Making
  9. 5.9Case Studies: Practical Examples
  10. 5.50Fundamentals of Simulation and Analysis
  1. 6.6Designing Simulated Naval Race Strategies
  2. 6.2Naval Race Tactics: Introduction and Fundamentals
  3. 6.3Analysis of Weather Conditions and Their Impact on Races
  4. 6.4Evaluation of Navigation Strategies and Route Selection
  5. 6.5Crew and Resource Management in Simulation
  6. 6.6Simulation of Overtaking and Defense Tactics
  7. 6.7Post-Race Data Analysis and Strategy Adjustment
  8. 6.8Strategy Optimization for Different Types of Races
  9. 6.9Damage Simulation and Risk Management
  10. 6.60Evaluation of the Effectiveness of the Tactics Employed
  1. 7.7Introduction to Data Analysis in Naval Careers
  2. 7.2Fundamentals of Naval Simulation
  3. 7.3Simulation Tools and Software
  4. 7.4Career Data Collection and Preparation
  5. 7.7Statistical Analysis of Results
  6. 7.6Data Interpretation and Trends
  7. 7.7Practical Examples and Case Studies
  8. 7.8Simulation of Initial Careers
  9. 7.9Performance Evaluation and Basic Strategies
  10. 7.70Conclusions and Next Steps
  1. 8.8Introduction to Naval Racing Simulation with Real Data
  2. 8.8Collection and Analysis of Authentic Naval Racing Data
  3. 8.3Design of Realistic Simulation Environments
  4. 8.4Implementation of Racing Strategies and Tactics
  5. 8.5Optimizing Ship Performance in Simulation
  6. 8.6Results Analysis and Strategy Evaluation
  7. 8.7Use of Advanced Software for Naval Simulation
  8. 8.8Data Interpretation and Strategic Decision Making
  9. 8.8Adaptation to Simulated Climatic and Environmental Conditions
  10. 8.80Case Studies: Analysis of Real and Simulated Races
  1. 9.9Introduction to Data Analysis in Naval Careers
  2. 9.9Naval Career Simulation: Fundamental Concepts
  3. 9.3Collection and Preparation of Real Data for Simulations
  4. 9.4Creating Naval Career Simulation Models
  5. 9.5Analysis of Simulation Results: Key Metrics
  6. 9.6Optimizing Strategies and Tactics in Simulation
  7. 9.7The Impact of Weather Conditions on Simulation
  8. 9.8Comparing Ship Designs Through Simulation
  9. 9.9Advanced Data Analysis: Trends and Predictions
  10. 9.90Integrating Simulation into Decision-Making
  1. 1.1Introduction to the Final Project: Naval Simulation
  2. 1.2Collection and Analysis of Real Naval Career Data
  3. 1.3Design and Configuration of Simulation Models
  4. 1.4Implementation of Detailed Simulation Environments
  5. 1.5Race Simulation: Model Design and Optimization
  6. 1.6Data Analysis: Performance and Strategy
  7. 1.7Evaluation of Tactics and Decision-Making in Simulation
  8. 1.8Post-Race Analysis: Results and Conclusions
  9. 1.9Performance Optimization: Strategy Design
  10. 1.10Final Presentation and Discussion of Results
Methodology, software & labs

How you'll learn

  • 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.
Accreditable laboratories(EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry Mentored:teachers with experience in training, , eVTOL/UAM and flight test.
Flexible modality(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Career opportunities

Where this takes you

**Career Simulation Analyst** (Modeling, Data Analysis, Strategy)**Career Simulation Specialist** (Data Analysis, Modeling, Career Strategy)**Racing Simulator** (Data Analysis, Strategy, Model Development)**Career Simulation Analyst** (Data Analysis, Modeling, Career Strategy)**Career Simulation Analyst** (Modeling, Data Analysis, Strategy)**Career Simulation Analyst** (Modeling, Data Analysis, Strategy)
Admissions & scholarships

Requirements

  • 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.

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FAQ

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”).

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