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CourseAutomotive & Motorsport Applications open

Track data acquisition course

Track Data Acquisition Course

This course focuses on mastering sensor and data acquisition (DAQ) technologies for monitoring and analyzing moving vehicles. It provides in-depth knowledge of the implementation and calibration of acceleration sensors, force sensors, and GPS systems to capture relevant data in real time, as well as the analysis of that data. The course covers everything from hardware configuration to signal interpretation, including the use of specialized software for data processing and visualization, making it ideal for test engineers and automotive technicians.

The program includes hands-on experience in real-world scenarios, focusing on system validation, fault identification, and performance optimization. Participants will learn to apply data filtering, spectral analysis, and statistical methods to extract valuable information about vehicle behavior, as well as knowledge of communication protocols such as CAN bus. The course fosters an understanding of safety regulations and traction control systems, preparing professionals for application in the automotive industry, motorsport, and the development of autonomous vehicles.

Duration3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Acquisition and Analysis of Runway Data for Naval Optimization

02

Rotor Modeling and Performance for Naval Efficiency

03

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

04

Naval Optimization: Runway Data Acquisition

05

Optimization of Runway Data for Naval Engineering

06

On-Site Data Collection for Naval Engineering

07

Naval Optimization Through Runway Data Acquisition

08

Runway Data Analysis for Naval Strategies

Profile

Who it's for

  • Graduates in Aerospace Engineering, Mechanical, Industrial, Automatics or similar.
  • OEM rotorcraft/eVTOL professionals, MRO, consulting, technology centers.
  • Flight Test, certification, avionics, control and dynamics who seek specialization.
  • Regulators/authorities and UAM/eVTOL profiles that require compliance competencies.
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 Collection in Naval Environments
  2. 1.2Sensors and Data Acquisition (DAQ) Systems
  3. 1.3Types of Data Relevant to Naval Engineering
  4. 1.4Data Acquisition Methodology at Sea
  5. 1.5Sensor Calibration and Verification
  6. 1.6Storage and Management of Collected Data
  7. 1.7Principles of Data Quality
  8. 1.8Software Tools for Initial Analysis
  9. 1.9Ethics and Safety Considerations in Data Collection
  10. 1.10Application Examples in Naval Projects
  1. 2.2Principles of Rotor Aerodynamics
  2. 3.2Design and Analysis of Airfoil Profiles
  3. 4.3CFD Modeling of Flow in Rotors
  4. 5.4Rotor Performance Simulation
  5. 6.5Selection and Design of Propulsion Systems
  6. 7.6Optimization of Rotor Geometry
  7. 8.7Energy Efficiency Evaluation
  8. 9.8Vibration and Noise Analysis
  9. 20.9Rotor Materials and Manufacturing
  10. 22.20Case Studies: Naval Applications
  1. 3.3Introduction to Runway Data Collection and Analysis
  2. 3.2Sensors and Data Acquisition Systems for Naval Environments
  3. 3.3Methodology for Data Collection in Maritime Environments
  4. 3.4Processing and Cleaning of Runway Data Collection
  5. 3.5Statistical Data Analysis for Naval Optimization
  6. 3.6Visualization and Graphical Representation of Naval Data
  7. 3.7Applications of Runway Data Acquisition: Case Studies
  8. 3.8Optimizing Naval Design Through Data Analysis
  9. 3.9Data-Based Strategies for Improving Naval Performance
  10. 3.30The Future of Data Collection and Analysis in Naval Engineering
  1. 4.4Fundamentals of Data Acquisition in the Naval Context
  2. 4.2Sensors and Equipment: Selection and Use for Data Collection
  3. 4.3Data Acquisition Methodologies in Marine Environments
  4. 4.4Calibration and Validation of Data in Naval Systems
  5. 4.5Introduction to Data Analysis for Naval Optimization
  6. 4.6Identification of Key Variables for Naval Performance
  7. 4.7Data-Driven Optimization Techniques
  8. 4.8Case Studies: Application of Data-Driven Optimization in Naval Contexts
  9. 4.9Software Tools for Naval Data Acquisition and Analysis
  10. 4.40Design of Experiments for Naval Performance Optimization
  1. 5.5Fundamentals of Runway Data Acquisition for Naval Engineering
  2. 5.5Sensors and Measurement Systems for Data Collection in Naval Environments
  3. 5.3Runway Data Analysis Methodologies for Naval Optimization
  4. 5.4Applications of Data Acquisition in Optimizing Ship Efficiency
  5. 5.5Data Analysis for the Design of Optimized Hulls and Naval Structures
  6. 5.6Use of Runway Data for Improving the Performance of Naval Propulsion Systems
  7. 5.7Implementation of Naval Strategies Based on Runway Data Analysis
  8. 5.8Design of Experiments and Test Planning in the Naval Environment
  9. 5.9Visualization and Communication of Data Results for Decision Making
  10. 5.50Practical Cases of Naval Optimization Using Runway Data Analysis
  1. 6.6Data Collection Sources and Methods in Naval Engineering
  2. 6.2Instrumentation and Sensors for Data Acquisition in Naval Environments
  3. 6.3Design of Experiments for Data Collection in Naval Trials
  4. 6.4Data Collection and Storage Protocols on Vessels
  5. 6.5Calibration and Validation of Data Collected at Sea
  6. 6.6Safety and Data Protection Considerations in Naval Environments
  7. 6.7Applications of Data Collection in Naval Design and Optimization
  8. 6.8Error Analysis and Handling of Incomplete Data
  9. 6.9Implementation of Data Collection Systems Onboard Ships
  10. 6.60Case Studies: Practical Examples of Data Collection in Naval Projects
  1. 7.7Introduction to Runway Data Acquisition for Naval Engineering
  2. 7.2Runway Data Sources: Sensors and Systems
  3. 7.3Runway Data Collection Methodologies
  4. 7.4Processing and Cleaning Collected Data
  5. 7.7Statistical Data Analysis for Naval Engineering
  6. 7.6Data Visualization for Decision Making
  7. 7.7Optimization Applications: Design and Performance
  8. 7.8Case Studies: Optimization in Naval Projects
  9. 7.9Data Integration in the Naval Design Process
  10. 7.70Tools and Software for Data Analysis
  1. 8.8Runway Data Collection and Analysis: Fundamentals
  2. 8.8Data Sources: Sensors and Acquisition Systems
  3. 8.3Data Cleaning and Preprocessing for Naval Analysis
  4. 8.4Data Visualization for Strategic Decision Making
  5. 8.5Descriptive Data Analysis in the Naval Context
  6. 8.6Comparative Analysis and Trends in the Naval Field
  7. 8.7Identifying Patterns and Anomalies in Runway Data
  8. 8.8Applying Predictive Models to Naval Strategies
  9. 8.8Data-Based Risk and Opportunity Assessment
  10. 8.80Case Studies: Analysis of Successful and Failed Naval Strategies
  1. 9.9Fundamentals of Naval Data Acquisition
  2. 9.9Sensors and Measurement Systems in the Naval Environment
  3. 9.3Planning and Execution of On-Skip Data Collection
  4. 9.4Data Calibration and Validation
  5. 9.5Introduction to Data Analysis Tools
  6. 9.9Principles of Rotor Modeling
  7. 9.9Rotor Performance Analysis Techniques
  8. 9.3Numerical Simulation and CFD in Rotor Analysis
  9. 9.4Optimizing Rotor Design for Efficiency
  10. 9.5Evaluating and Comparing Different Rotor Designs
  11. 3.9Gathering Relevant Data for Naval Design
  12. 3.9Data Analysis Techniques for Design Optimization
  13. 3.3Using Data in the Conceptual Design Phase
  14. 3.4Integrating Data into the Detailed Design Process
  15. 3.5Software Tools for Naval Design Data Analysis
  16. 4.9Principles of Naval Optimization
  17. 4.9The Role of Data Acquisition in Optimization
  18. 4.3Designing and Planning Tests for Data Acquisition Data
  19. 4.4Data Analysis for Naval Performance Improvement
  20. 4.5Applying Results to Operations Optimization
  21. 5.9Importance of Data Optimization in Naval Engineering
  22. 5.9Relevant Data Sources and Types in Naval Engineering
  23. 5.3Methods for Data Optimization
  24. 5.4Data Analysis for Engineering Decision Making
  25. 5.5Implementing Data Optimization in Naval Projects
  26. 6.9Planning and Preparation for Data Collection
  27. 6.9Equipment and Techniques for Data Collection
  28. 6.3Managing and Storing Collected Data
  29. 6.4Data Quality Control and Validation
  30. 6.5Safety and Regulatory Considerations
  31. 7.9Data-Based Naval Optimization Strategies
  32. 7.9Data Acquisition Methods for Naval Optimization
  33. 7.3Analysis and Interpretation of Track Data
  34. 7.4Optimizing Performance and Efficiency
  35. 7.5Implementing Data-Based Improvements
  36. 8.9Developing Data-Based Naval Strategies
  37. 8.9Data Analysis for Decision Making Strategic
  38. 8.3Identification of Key Performance Indicators (KPIs)
  39. 8.4Evaluation of the Impact of Naval Strategies
  40. 8.5Adaptation of Strategies Based on Data
  1. 1.1Runway Data Collection: Fundamentals for Naval Optimization
  2. 1.2Design of Instrumentation and Sensors for the Naval Environment
  3. 1.3Data Acquisition Techniques in Marine Environments
  4. 1.4Runway Data Analysis: Introduction to Tools and Methods
  5. 1.5Data Validation and Calibration for Naval Engineering
  6. 1.6Design of Experiments for Naval Performance Optimization
  7. 1.7Statistical Analysis Applied to Naval Data
  8. 1.8Interpretation and Visualization of Runway Data
  9. 1.9Case Studies: Practical Application in Naval Design
  10. 1.10Final Project: Comprehensive Runway Data Analysis
  11. 2.1Principles of Naval Rotor Aerodynamics
  12. 2.2Numerical Modeling of Flow around Rotors
  13. 2.3Airfoil Design for Naval Efficiency
  14. 2.4Rotor Performance Simulation
  15. 2.5Rotor Geometry Optimization
  16. 2.6Analysis of Interference Effects in Systems Rotors
  17. 2.7Energy Performance Evaluation
  18. 2.8Noise Reduction in Naval Propulsion Systems
  19. 2.9Case Studies: Rotor System Optimization
  20. 2.10Final Project: Rotor Modeling and Optimization
  21. 3.1Relevant Data Sources for Naval Design
  22. 3.2Data Collection Methods in Naval Environments
  23. 3.3Data Cleaning and Preprocessing
  24. 3.4Exploratory Data Analysis for Design
  25. 3.5Data Modeling to Predict Performance
  26. 3.6Design of Experiments to Evaluate Naval Design
  27. 3.7Data Analysis to Improve Stability
  28. 3.8Design and Data Analysis to Improve Maneuverability
  29. 3.9Cost-Benefit Analysis for Design
  30. 3.10Final Project: Optimized Naval Design
  31. 4.1Data Acquisition Strategies
  32. 4.2Design of Experiments for Naval Optimization
  33. 4.3Sensors and Measurement Systems for the Optimization
  34. 4.4Data Acquisition Techniques
  35. 4.5Exploratory Data Analysis for Optimization
  36. 4.6Naval Performance Data Analysis
  37. 4.7Performance Modeling
  38. 4.8Data Validation and Verification
  39. 4.9Optimization Case Studies
  40. 4.10Final Project: Naval Optimization
  41. 5.1Collection of Relevant Data
  42. 5.2Instrumentation Design
  43. 5.3Data Cleaning and Preprocessing
  44. 5.4Exploratory Data Analysis
  45. 5.5Performance Modeling
  46. 5.6Design Optimization
  47. 5.7Risk Analysis
  48. 5.8Implementation and Testing
  49. 5.9Performance Evaluation
  50. 5.10Final Project: Naval Engineering
  51. 6.1Relevant Data Sources for Naval Engineering
  52. 6.2Design of Experiments for Data Collection
  53. 6.3Instrumentation and Sensors in Naval Environments
  54. 6.4Data Collection Methods
  55. 6.5Data Validation and Calibration
  56. 6.6Analysis of Data
  57. 6.7Performance Modeling
  58. 6.8Data Visualization and Interpretation
  59. 6.9Data Collection Case Studies
  60. 6.10Final Project: Data Collection
  61. 7.1Optimization Fundamentals
  62. 7.2Design of Experiments
  63. 7.3Sensors and Acquisition Systems
  64. 7.4Acquisition Techniques
  65. 7.5Cleaning and Preprocessing
  66. 7.6Data Analysis
  67. 7.7Performance Modeling
  68. 7.8Implementation of Optimization Strategies
  69. 7.9Evaluation of Results
  70. 7.10Final Project: Naval Optimization
  71. 8.1Types of Data Relevant to Naval Strategies
  72. 8.2Data Collection Methods at Sea
  73. 8.3Cleaning and Preprocessing
  74. 8.4Exploratory Analysis
  75. 8.5Statistical Analysis and Visualization
  76. 8.6Modeling and Simulation
  77. 8.7Data-Driven Decision Making
  78. 8.8Development of Naval Strategies
  79. 8.9Evaluation of Results
  80. 8.10Final Project: Data Analysis
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

Data Acquisition Specialist (Motorsport, Automotive)**Data Acquisition Engineer** (Motorsport, Automotive, Aerospace)**Data Acquisition Specialist** (Motorsport, Automotive)**Data Acquisition Technician** (Motorsport, Automotive, Industrial)**Data Acquisition Engineer** (Motorsport, Automotive, Engineering)**Data Acquisition Engineer** (Motorsport, Automotive, Engineering)
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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