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Basic Telemetry Graph Analysis Course

Basic Telemetry Chart Analysis Course

This course provides an introduction to the interpretation and use of data collected through telemetry systems. It focuses on understanding telemetry charts, identifying trends and anomalies, and applying this knowledge to decision-making. The course covers data visualization, signal processing, and fault detection in a variety of applications, such as machine monitoring, industrial process tracking, and performance analysis.

The program includes learning data analysis tools and telemetry software, allowing participants to apply their knowledge in practical scenarios. Participants will learn to interpret signals such as temperature, pressure, and speed, and to use these signals to improve the efficiency and safety of monitored systems. Basic statistics and time series analysis concepts will also be covered.

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

Basic Analysis of Telemetry Graphs: Fundamentals and Applications

02

Rotor modeling and performance: Evaluation and optimization

03

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

04

Telemetry Analysis: Unraveling Charts and Trends

05

Telemetry Graph Analysis: Fundamentals and Practical Applications

06

Deciphering Telemetry Charts: A Course in Fundamental Analysis

07

Telemetry Analysis: Graphical Interpretation and Practical Application

08

Telemetry Chart Analysis: Interpretation and Strategies

Profile

Who it's for

  • Engineers with degrees in Aerospace, Mechanical, Industrial, Automation, or related fields.
  • Industry experts in OEM rotorcraft/eVTOL, MRO, aeronautical consulting, and technology research institutions.
  • Specialists in Flight Testing, aircraft certification, avionics, control systems, and flight dynamics, seeking further development.
  • Officials from regulatory bodies and professionals involved in UAM/eVTOL projects requiring skills in Regulatory compliance.
Recommended requirements: fundamental knowledge of aerodynamics, automatic control, and structures. Language level: B2+/C1 in Spanish or English. Support programs are provided to reinforce prior knowledge.
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 Telemetry Systems and Their Importance in Naval Analysis
  2. 1.2Key Components of a Telemetry System: Sensors, Transmitters, Receivers
  3. 1.3Types of Telemetry Data: Analog and Digital Data
  4. 1.4Fundamentals of Data Visualization: Common Graphs and Diagrams
  5. 1.5Telemetry Analysis Tools and Software: Introduction
  6. 1.6Initial Interpretation of Graphs: Identifying Basic Patterns
  7. 1.7Practical Examples: Applications of Telemetry in Vessel Monitoring
  8. 1.8The Role of the Telemetry Analyst: Responsibilities and Competencies
  9. 1.9Best Practices in Data Collection and Analysis
  10. 1.10Introduction to Telemetry Data Calibration and Validation
  1. 2.2Rotor Design and Performance: Fundamental Principles
  2. 2.2Computational Fluid Dynamics (CFD) Applied to Rotors
  3. 2.3Wind Tunnel Testing and Experimental Validation
  4. 2.4Aerodynamic Modeling of Rotors: Theory and Practice
  5. 2.5Rotor Efficiency Analysis: Key Metrics
  6. 2.6Rotor Design Optimization: Techniques and Tools
  7. 2.7Rotor Materials and Manufacturing: Impact on Performance
  8. 2.8Rotor Control and Stability: Design Considerations
  9. 2.9Rotor Noise: Analysis and Mitigation
  10. 2.20Specific Rotor Applications: Aircraft and Drones
  1. 3.3Telemetry Fundamentals: Data Collection and Transmission
  2. 3.2Introduction to Interpreting Telemetry Graphs
  3. 3.3Identifying Key Variables and Parameters
  4. 3.4Analyzing Trends and Patterns in Telemetry Data
  5. 3.5Applying Visualization Tools
  6. 3.6Anomaly Detection and Diagnosis
  7. 3.7Case Studies: Failures and Optimization
  8. 3.8Analysis and Decision-Making Strategies
  9. 3.9Integrating Telemetry Data into Predictive Maintenance
  10. 3.30Optimizing Performance through Telemetry Analysis
  1. 4.4Telemetry Chart Basics
  2. 4.2Identifying Key Variables
  3. 4.3Analyzing Trends and Patterns
  4. 4.4Data Visualization Tools
  5. 4.5Interpreting Data in Different Contexts
  6. 4.6Practical Applications of Telemetry Analysis
  7. 4.7Advanced Chart Analysis Techniques
  8. 4.8Report Writing and Conclusions
  9. 4.9Case Studies: Practical Examples
  10. 4.40Data-Driven Optimization Strategies
  1. 5.5Telemetry Data Analysis: Introduction and Key Concepts
  2. 5.5Components of a Telemetry System: Sensors, Transmitters, and Receivers
  3. 5.3Types of Telemetry Data: Common Measurements and Variables
  4. 5.4Visualizing Telemetry Data: Graphs and Formats
  5. 5.5Interpreting Telemetry Graphs: Trends and Patterns
  6. 5.6Identifying Problems and Anomalies Through Telemetry
  7. 5.7Practical Applications of Telemetry Analysis: Real-World Examples
  8. 5.8Tools and Software for Telemetry Analysis
  9. 5.9Advanced Telemetry Analysis Techniques
  10. 5.50Case Study: Troubleshooting Using Telemetry Data
  1. 6.6eVTOL and UAM: Electric Propulsion, Multiple Rotors
  2. 6.2Emerging Certification Requirements (SC-VTOL, Special Conditions)
  3. 6.3Energy and Thermal in E-Propulsion (Batteries/Inverters)
  4. 6.4Design for Maintainability and Modular Swaps
  5. 6.5LCA/LCC in Rotorcraft and eVTOL (Footprint and Cost)
  6. 6.6Operations & Vertiports: Airspace Integration
  7. 6.7Data & Digital Thread: MBSE/PLM for Change Control
  8. 6.8Tech Risk and Readiness: TRL/CRL/SRL
  9. 6.9IP, Certifications, and Time-to-Market
  10. 6.60Case Clinic: Go/No-Go with Risk Matrix
  1. 7.7Telemetry Data Analysis: Introduction and Key Concepts
  2. 7.2Types of Telemetry Graphs: Identification and Characteristics
  3. 7.3Tools and Software for Graph Analysis
  4. 7.4Common Variables and Parameters in Telemetry
  5. 7.7Interpreting Trends and Patterns in Graphs
  6. 7.6Identifying Anomalies and Errors in Data
  7. 7.7Applying Filters and Transformations to Graphs
  8. 7.8Comparative Analysis of Telemetry Data
  9. 7.9Strategies for Problem-Solving with Data
  10. 7.70Case Studies and Practical Applications
  1. 8.8Identifying Patterns and Anomalies in Telemetry Graphs
  2. 8.8Data Visualization Techniques for Improved Interpretation
  3. 8.3Trend Analysis and Behavior Prediction
  4. 8.4Using Telemetry Analysis Tools
  5. 8.5Strategies for Error and Fault Detection
  6. 8.6Relationship Between Telemetry Data and System Performance
  7. 8.7Practical Application in Different Naval Contexts
  8. 8.8Performance Optimization Based on Telemetry Analysis
  9. 8.9Decision Making Based on Telemetry Data
  10. 8.0Case Studies: Practical Examples of Analysis
  1. 9.9eVTOL and UAM: Electric Propulsion, Multiple Rotors
  2. 9.9Emerging Certification Requirements (SC-VTOL, Special Conditions)
  3. 9.3Energy and Thermal in E-Propulsion (Batteries/Inverters)
  4. 9.4Design for Maintainability and Modular Swaps
  5. 9.5LCA/LCC in Rotorcraft and eVTOL (Footprint and Cost)
  6. 9.6Operations & Vertiports: Airspace Integration
  7. 9.7Data & Digital Thread: MBSE/PLM for Change Control
  8. 9.8Tech Risk and Readiness: TRL/CRL/SRL
  9. 9.9IP, Certifications, and Time-to-Market
  10. 9.90Case Clinic: Go/No-Go with Risk Matrix
  1. 1. Basic Telemetry Chart Analysis: Fundamentals and Applications
  2. 1.1Fundamentals of Naval Telemetry: Principles and Applications in Navigation
  3. 1.2Introduction to Telemetry Charts: Common Types and Formats
  4. 1.3Identifying Key Variables: Speed, Heading, Depth, and More
  5. 1.4Interpreting Trends: Analyzing Changes and Patterns
  6. 1.5Practical Applications: Performance Monitoring and Anomaly Detection
  7. 2. Rotor Modeling and Performance: Evaluation and Optimization
  8. 2.1Principles of Rotor Aerodynamics: Fundamentals for Analysis
  9. 2.2Rotor Modeling: Simulation Techniques and Tools
  10. 2.3Performance Evaluation: Analysis of Key Parameters (Thrust, Power, etc.)
  11. 2.4Design Optimization: Strategies for Improving Efficiency
  12. 2.5Case Studies: Practical Application of Models and Optimization
  13. 3. Telemetry Data Interpretation and Application: Essential Course
  14. 3.1Data Collection and Storage: Systems and Protocols
  15. 3.2Real-Time Data Analysis: Monitoring and Rapid Response
  16. 3.3Error and Anomaly Identification: Fault Detection
  17. 3.4Practical Applications: Predictive Maintenance and Diagnostics
  18. 3.5Reporting and Results Presentation: Effective Communication
  19. 4. Telemetry Analysis: Unraveling Graphs and Trends
  20. 4.1Data Collection and Processing: Advanced Techniques
  21. 4.2Analysis of Time Trends: Identifying Long-Term Patterns
  22. 4.3Variable Correlation: Relationships Between Different Parameters
  23. 4.4Anomaly Detection: Statistical Methods and Visualization
  24. 4.5Applications in Navigation: Performance and Safety Improvement
  25. 5. Telemetry Chart Analysis: Fundamentals and Practical Applications
  26. 5.1Review of basic concepts: Telemetry and charts.
  27. 5.2Analysis of different chart types: Line, bar, scatter, etc.
  28. 5.3Identifying important data: Selecting relevant variables.
  29. 5.4Practical applications in navigation: Real-world case studies.
  30. 5.5Software tools: Using analysis platforms.
  31. 6. Deciphering Telemetry Charts: A Course in Fundamental Analysis
  32. 6.1Fundamentals of data visualization: Principles and best practices.
  33. 6.2Interpreting complex charts: Advanced techniques.
  34. 6.3Multivariate data analysis: Relationships between multiple variables.
  35. 6.4Detecting patterns and trends: Methods and strategies.
  36. 6.5Applications in decision-making: Using telemetry.
  37. 7. Telemetry Analysis: Graphical Interpretation and Practical Application
  38. 7.1Introduction to telemetry and naval systems.
  39. 7.2Graph analysis: Interpreting different types of data.
  40. 7.3Practical application: Real-world case studies.
  41. 7.4Identifying anomalies and problems.
  42. 7.5Improving performance and safety.
  43. 8. Telemetry Graph Analysis: Interpretation and Strategies
  44. 8.1Review of key concepts: telemetry and data types.
  45. 8.2Interpretation techniques: Analyzing trends and patterns.
  46. 8.3Analysis strategies: Approaches and methodologies.
  47. 8.4Practical applications: Real-world case studies.
  48. 8.5Data-driven decision-making: Performance optimization.
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

**Telemetry Data Analyst** (Systems Monitoring, Diagnostics)Telemetry Data Analyst (Signal Analysis, Diagnostics)Telemetry Data Analyst (Data Monitoring, Graph Interpretation)**Telemetry Chart Analyst** (Data Interpretation, Trend Analysis)**Telemetry Data Analyst** (Graph Interpretation, Monitoring)**Telemetry Data Analyst** (Graph Interpretation, Monitoring)
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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