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GPS sensors and accelerometers course in karting

GPS Sensors and Accelerometers in Karting Course

This course provides essential knowledge of data measurement technology for performance analysis in karting. It focuses on the implementation and calibration of GPS sensors and accelerometers to obtain accurate data on speed, acceleration, trajectory, and G-forces, linking this to telemetry analysis and driving optimization. The course explores the use of specialized software for data processing and visualization, enabling participants to understand how to improve kart performance and driver skills.

This course provides essential knowledge of data measurement technology for performance analysis in karting. The course includes hands-on practice in the installation and configuration of sensors, as well as the analysis of test data to identify areas for improvement in kart setup and driving technique. Topics covered include interpreting acceleration and speed graphs, identifying optimal braking points, and evaluating cornering efficiency. The goal is to empower participants to make informed decisions based on real-world data, thereby improving their competitiveness on the track.

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

Performance Optimization in Karting: GPS Sensors and Accelerometers

02

Karting Mastery: GPS Data and Accelerometer Analysis for Victory

03

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

04

Unlocking Karting Potential: GPS Sensors and Accelerometers

05

Karting Strategies: Implementing GPS and Accelerometers for Excellence

06

Karting Engineering: GPS Sensors and Accelerometers for Track Precision

07

Unlock the Potential of Karting: GPS and Accelerometers for Absolute Control

08

Karting Mastery: GPS and Accelerometer Data for Optimal Performance

Profile

Who it's for

  • Karting enthusiasts interested in telemetry and performance data analysis.
  • Karting drivers who want to optimize their driving techniques by studying data.
  • Engineers and technicians with basic knowledge of electronics and programming who want to apply their skills to karting.
  • Karting coaches looking to improve their drivers' performance through sensor data analysis.
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. Module 1 — Introduction to GPS Sensors and Accelerometers
  2. 1.1What are GPS Sensors and Accelerometers?
  3. 1.2Operating Principles of GPS Sensors
  4. 1.3Operating Principles of Accelerometers
  5. 1.4Key Components of Data Acquisition Systems
  6. 1.5Types of GPS Sensors and Accelerometers
  7. 1.6Importance of Sensors in Karting
  8. 1.7Advantages of Using GPS Sensors and Accelerometers
  9. 1.8Limitations of GPS Sensors and Accelerometers
  10. 1.9Initial Applications in Karting
  11. 1.10Equipment Preparation and Basic Concepts
  1. 2.2GPS and Accelerometer Fundamentals: Principles and Operation
  2. 2.2GPS System Components in Karting: Antennas, Receivers, and Processing Units
  3. 2.3Accelerometer Sensors: Types, Design, and Applications in Karting
  4. 2.4GPS and Accelerometer Interaction: Synchronization and Data Collection
  5. 2.5Key Variables: Position, Speed, Acceleration, and G-Forces
  6. 2.6Analysis Software: Introduction to Data Visualization Platforms
  7. 2.7Getting Started: Equipment Setup and Calibration
  8. 2.8Identifying Reference Points: Lap and Sector Layouts
  9. 2.9Data Visualization: Initial Interpretation of Graphs and Maps
  10. 2.20Introduction to Practice: Data Collection on the Track
  1. 3.3Introduction to Data Analysis: GPS Sensors and Accelerometers in Karting
  2. 3.2Data Collection: Equipment Setup and Calibration
  3. 3.3Track Analysis: Identifying Optimal Racing Lines
  4. 3.4Braking Evaluation: Braking and Deceleration Points
  5. 3.5Acceleration Optimization: Power Curve and Time Analysis
  6. 3.6G-Force Study: Karting Dynamics Analysis
  7. 3.7Lap Comparison: Identifying Areas for Improvement
  8. 3.8Telemetry Analysis: Analysis Software and Tools
  9. 3.9Driving Strategies: Data-Driven Adjustments
  10. 3.30Continuous Improvement: Implementing and Evaluating Changes
  1. 4.4Introduction to GPS Sensors and Accelerometers in Karting
  2. 4.2Data Collection: How Sensors Work on the Track
  3. 4.3Interpreting GPS Data: Trajectory and Speed ​​Analysis
  4. 4.4Acceleration Analysis: Cornering, Braking, and Longitudinal Acceleration
  5. 4.5Identifying Critical Points: Areas for Improvement on the Circuit
  6. 4.6Lap Comparison: Identifying Performance Differences
  7. 4.7Optimizing Racing Lines: Ideal Trajectories
  8. 4.8Kart Setup: Impact of Data on Configuration
  9. 4.9Real-Time Data Analysis: Racing Driving Strategies
  10. 4.40Practical Application: Case Studies and Practical Exercises
  1. 5.5. Race Strategies: Selecting optimized racing lines using GPS data.
  2. 5.5. Acceleration Data Analysis: Braking, acceleration, and cornering.
  3. 5.3. Real-Time Telemetry Implementation: Live data for rapid adjustments.
  4. 5.4. Sector Performance Analysis: Identifying specific areas for improvement.
  5. 5.5. Driver Comparison: Analyzing GPS and accelerometer data to compare driving styles.
  6. 5.6. Race Simulation: Using data to predict and optimize strategies.
  7. 5.7. Tire Management: Monitoring wear and pit stop strategies.
  8. 5.8. Adapting to Track Conditions: Adjustments based on GPS and accelerometer data.
  9. 5.9. Overtaking Tactics: Analyzing data to identify opportunities.
  10. 5.50. Developing Team Strategies: Data-driven communication and coordination.
  1. 6.6Karting Telemetry: Introduction to GPS and Accelerometers
  2. 6.2Data Collection: Sensor Installation and Configuration
  3. 6.3Data Analysis: Software and Tools for Karting
  4. 6.4Track Engineering: Track Design and Corner Optimization
  5. 6.5Kart Setup: Data Influence on Setup
  6. 6.6Braking Analysis: Performance and Strategies
  7. 6.7Acceleration and Speed: Optimizing Kart Power
  8. 6.8Data Management: Storing and Organizing Information
  9. 6.9Simulation and Prediction: Using Data for Race Strategy
  10. 6.60Case Study: Analyzing a Driver and Their Improvement
  1. 7.7Strategy Design: GPS and Accelerometers as Key Tools
  2. 7.2Data Collection: Setting Up and Using Sensors in Karting
  3. 7.3Data Analysis: Interpreting GPS and Accelerometer Data
  4. 7.4Line Drawing and Optimization: Identifying Driving Improvements
  5. 7.7Race Pace Management: Acceleration and Braking Strategies
  6. 7.6Overtaking Strategies: Using Data for Decision Making
  7. 7.7Setup Optimization: Adjustments Based on Sensor Data
  8. 7.8Race Simulation: Using Data to Predict Performance
  9. 7.9Driver Performance Analysis: Strengths and Weaknesses
  10. 7.70Implementation and Evaluation: Continuous Improvement and Adaptive Strategies
  1. 8.8Introduction to Sensors: GPS and Accelerometers in Karting
  2. 8.8Data Collection and Visualization: Software Configuration
  3. 8.3Racing Line Analysis: Optimal Track Line and Sector Times
  4. 8.4Acceleration and Braking Analysis: Techniques for Improvement
  5. 8.5G-Force Study: Understanding Kart Behavior
  6. 8.6Lap Comparison: Identifying Improvements
  7. 8.7Driving Strategies: Data-Based Adaptation
  8. 8.8Kart Setup: Data Influence on Configuration
  9. 8.8Real-Time Data Analysis: On-Track Decisions
  10. 8.80Continuous Improvement: Using Data to Optimize Performance
  1. Module 9 — Introduction to Telemetry in Karting
  2. 9.9Fundamentals of telemetry in karting: what it is and why it's crucial
  3. 9.9GPS sensors and accelerometers: key system components
  4. 9.3Data collection: how data is recorded and stored
  5. 9.4Analysis software: an introduction to interpretation tools
  6. 9.5User interface: understanding basic data visualization
  7. 9.6Getting started: initial setup and sensor calibration
  8. 9.7Importance of telemetry: performance, safety, and learning
  9. 9.8Practical examples: case studies and common applications
  10. 9.9Frequently asked questions: clarifying initial doubts
  11. 9.90Course introduction: objectives and expectations
  1. 1.1Introduction to Telemetry in Karting: Concepts and Benefits
  2. 1.2Fundamentals of GPS Sensors in Karting: Accuracy and Operation
  3. 1.3Accelerometers: Measuring G-Forces and Analyzing Kart Behavior
  4. 1.4Collection and Calibration of GPS and Accelerometer Data
  5. 1.5Analysis Software: Data Interpretation and Visualization
  6. 1.6Practical Application: Identifying Driver Weaknesses and Strengths
  7. 1.7Strategies for Performance Improvement: Optimizing Trajectory and Braking
  8. 1.8Real-World Examples: Data Analysis and Decision-Making on the Track
  9. 1.9Kart Adjustments: The Influence of Telemetry on Chassis Setup
  10. 1.10Final Project: Comprehensive Application of Telemetry in a Karting Session
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 Engineer in Karting (Telemetry Analysis)Telemetry Technician in Karting (Analysis of GPS Data and Accelerometers)Kart Performance Engineer (Track Line Optimization and Setup)**Kart Telemetry Specialist** (GPS Data and Accelerometer Analysis)**Telemetry Engineer in Karting** (GPS Data and Accelerometer Analysis)**Telemetry Engineer in Karting** (GPS Data and Accelerometer Analysis)
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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