Track data acquisition course
About our
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.
Track data acquisition 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
725 $
Competencies and results
What you will learn
1. Acquisition and Analysis of Runway Data for Naval Optimization
- Master the analysis of complex couplings in aeronautical components, including the study of flap-lag-torsion phenomena, crucial for aircraft stability, as well as the prevention of whirl flutter and the analysis of structural fatigue.
- Learn to dimension and optimize the design of advanced laminates in composites, including the analysis of structural joints and the use of bonded joints, using finite element (FE) analysis tools to ensure the integrity and efficiency of naval structures.
- Implement damage tolerance methodologies to evaluate damage resistance and apply non-destructive testing (NDT) techniques such as ultrasonic testing (UT), radiography (RT), and thermography for the inspection of naval components.
2. Rotor Modeling and Performance for Naval Efficiency
- Understand the fundamental principles of rotor modeling, including Blade Element Theory (BEMT) and Computational Fluid Dynamics (CFD).
- Evaluate and optimize the performance of naval rotors, considering propulsive efficiency, noise reduction, and vibration minimization.
- Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.
- Dimension laminates in composites, joints, and bonded joints using FE.
- Implement damage tolerance and NDT (UT/RT/thermography).
- Apply design and simulation techniques to optimize the shape and profile of rotor blades, improving efficiency and reducing noise.
- Use specialized software tools for rotor modeling and analysis in the marine industry.
- Develop skills to interpret simulation and analysis results and make data-driven design decisions.
cavitation.
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. Naval Optimization: Runway Data Acquisition
4. Naval Optimization: Runway Data Acquisition
Identification and evaluation of crucial aerodynamic phenomena: flap-lag-torsion, whirl flutter, and structural fatigue analysis.
Design and calculation of structural components using composite materials, including laminate dimensioning, joint modeling, and bonded joint analysis using the finite element (FE) method.
Application of damage tolerance methodologies and use of non-destructive testing (NDT) techniques such as ultrasonic testing (UT), radiography (RT), and thermography.
5. Optimization of Runway Data for Naval Engineering
- Analyze flap–lag–torsion couplings, whirl flutter and fatigue.
- Size laminates in composites, unions and bonded joints with FE.
- Implement damage tolerance and NDT (UT/RT/thermography).
6. On-Site Data Collection for Naval Engineering
- Acquire skills in the management and analysis of data collected in naval runway environments.
- Understand and apply advanced techniques for collecting relevant data in the design and analysis of naval structures.
- Master the use of specialized tools and software for the management and processing of naval engineering data.
- Identify and analyze key parameters in data collection for evaluating vessel performance and safety.
- Learn to interpret and evaluate collected data for informed decision-making in naval engineering.
- Develop skills in the effective presentation and communication of results obtained from data analysis.
- Become familiar with regulations and standards related to data collection and analysis in the naval industry.
- Apply acquired knowledge to solve practical problems and case studies in naval engineering.
Who this program is for:
Track data acquisition course
- 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-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 Collection in Naval Environments
1.2 Sensors and Data Acquisition (DAQ) Systems
1.3 Types of Data Relevant to Naval Engineering
1.4 Data Acquisition Methodology at Sea
1.5 Sensor Calibration and Verification
1.6 Storage and Management of Collected Data
1.7 Principles of Data Quality
1.8 Software Tools for Initial Analysis
1.9 Ethics and Safety Considerations in Data Collection
1.10 Application Examples in Naval Projects
2.2 Principles of Rotor Aerodynamics
3.2 Design and Analysis of Airfoil Profiles
4.3 CFD Modeling of Flow in Rotors
5.4 Rotor Performance Simulation
6.5 Selection and Design of Propulsion Systems
7.6 Optimization of Rotor Geometry
8.7 Energy Efficiency Evaluation
9.8 Vibration and Noise Analysis
20.9 Rotor Materials and Manufacturing
22.20 Case Studies: Naval Applications
3.3 Introduction to Runway Data Collection and Analysis
3.2 Sensors and Data Acquisition Systems for Naval Environments
3.3 Methodology for Data Collection in Maritime Environments
3.4 Processing and Cleaning of Runway Data Collection
3.5 Statistical Data Analysis for Naval Optimization
3.6 Visualization and Graphical Representation of Naval Data
3.7 Applications of Runway Data Acquisition: Case Studies
3.8 Optimizing Naval Design Through Data Analysis
3.9 Data-Based Strategies for Improving Naval Performance
3.30 The Future of Data Collection and Analysis in Naval Engineering
4.4 Fundamentals of Data Acquisition in the Naval Context
4.2 Sensors and Equipment: Selection and Use for Data Collection
4.3 Data Acquisition Methodologies in Marine Environments
4.4 Calibration and Validation of Data in Naval Systems
4.5 Introduction to Data Analysis for Naval Optimization
4.6 Identification of Key Variables for Naval Performance
4.7 Data-Driven Optimization Techniques
4.8 Case Studies: Application of Data-Driven Optimization in Naval Contexts
4.9 Software Tools for Naval Data Acquisition and Analysis
4.40 Design of Experiments for Naval Performance Optimization
5.5 Fundamentals of Runway Data Acquisition for Naval Engineering
5.5 Sensors and Measurement Systems for Data Collection in Naval Environments
5.3 Runway Data Analysis Methodologies for Naval Optimization
5.4 Applications of Data Acquisition in Optimizing Ship Efficiency
5.5 Data Analysis for the Design of Optimized Hulls and Naval Structures
5.6 Use of Runway Data for Improving the Performance of Naval Propulsion Systems
5.7 Implementation of Naval Strategies Based on Runway Data Analysis
5.8 Design of Experiments and Test Planning in the Naval Environment
5.9 Visualization and Communication of Data Results for Decision Making
5.50 Practical Cases of Naval Optimization Using Runway Data Analysis
6.6 Data Collection Sources and Methods in Naval Engineering
6.2 Instrumentation and Sensors for Data Acquisition in Naval Environments
6.3 Design of Experiments for Data Collection in Naval Trials
6.4 Data Collection and Storage Protocols on Vessels
6.5 Calibration and Validation of Data Collected at Sea
6.6 Safety and Data Protection Considerations in Naval Environments
6.7 Applications of Data Collection in Naval Design and Optimization
6.8 Error Analysis and Handling of Incomplete Data
6.9 Implementation of Data Collection Systems Onboard Ships
6.60 Case Studies: Practical Examples of Data Collection in Naval Projects
- 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”).