Autonomous electric mobility course

About our

Autonomous Electric Mobility Course

Explore the convergence of electrical engineering, artificial intelligence, and automation applied to vehicles. It includes electric propulsion system design, controller programming, sensors and perception, and path planning for autonomous navigation. It focuses on developing solutions for sustainable transportation, covering aspects of safety, energy efficiency, and regulations in the sector.

The course offers hands-on experience in driving simulators, hardware prototyping, and evaluating machine learning algorithms for decision-making. Participants will become familiar with LiDAR, radar, and computer vision technologies, which are fundamental to autonomy. It prepares students for roles such as embedded software development engineers, vehicle robotics specialists, and autonomous mobility data analysts, driving innovation in the automotive and mobility industries.

movilidad eléctrica
Autonomous electric mobility course

349 $

Competencies and results

What you will learn

1. Design and Control of Autonomous Electric Mobility Systems

**What Will You Learn in Autonomous Electric Mobility Systems Design and Control?**

Discover the essential skills to master the design and control of autonomous electric mobility systems. This course will provide you with the knowledge and tools necessary to lead innovation in this rapidly growing field.

1. Fundamentals of Autonomous Electric Mobility:
* Understand the architecture of autonomous electric mobility systems (AMEA).

* Analyze the key components: electric motors, batteries, control systems, sensors, and actuators.

* Explore the different configurations and applications of AMEA.

2. Electric Propulsion Systems Design:
* Select and size electric motors to optimize performance and efficiency.

* Design battery management systems (BMS) to ensure safety and maximize lifespan.

* Evaluate and select electric powertrains and drive systems.

3. Autonomous Control and Navigation:
* Implement advanced control algorithms for the stability and handling of the AMEA (Automated Mobile Equipment).

* Develop navigation systems using GPS, IMU, LiDAR, and machine vision.

* Integrate and calibrate sensors for accurate environmental perception.

4. Safety and Reliability:
* Design redundant and fail-safe safety systems.

* Apply risk analysis and failure mitigation techniques.

* Comply with industry safety regulations and standards.

5. Software and Hardware Engineering Aspects:
* Program and develop software for the control and management of the AMEA.

* Select and configure appropriate hardware platforms.

* Integrate and test embedded systems.

6. Simulation and Analysis:
* Use simulation tools to model and evaluate the performance of the AMEA.

* Analyze data and optimize the design.

* Perform validation and verification tests.

7. Trends and Future of Autonomous Electric Mobility:
* Explore the latest technology trends in AMEA.

* Analyze the impact of autonomous electric mobility on society and the environment.

* Discuss future challenges and opportunities.

2. Evaluation and Optimization of Rotor Performance in Electric Autonomous Mobility

Here is the requested content:

  • Fundamentals of Aerodynamics and Rotor Dynamics: You will understand the key principles governing the operation of rotors in electric VTOL vehicles. This includes the study of lift, drag, and aerodynamic efficiency under different flight conditions.
  • Advanced Structural and Material Analysis: You will learn to evaluate the structural integrity of rotors, including the selection of composite materials and the design of joints. You will delve deeper into the analysis of stresses and strains using finite element analysis (FEA) software.
  • Fatigue and Service Life Assessment: You will master techniques for predicting and managing material fatigue in rotors, considering cyclic loads and vibrations.
  • Performance Optimization: You will explore strategies for improving rotor efficiency and performance, including the design of optimized airfoils and the implementation of advanced control systems.
  • Implementation of Diagnostic and Monitoring Systems: You will learn about non-destructive testing (NDT) techniques and structural health monitoring (SHM) systems to detect and prevent rotor failures.
  • Design and Simulation with Specialized Software: You will use advanced simulation software to model and analyze rotor behavior in different flight scenarios.
  • Industry Regulations and Standards: You will become familiar with the aeronautical industry regulations and standards relevant to the design and operation of eVTOL vehicles.

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. Optimization and Evaluation of Rotational Performance in Autonomous Electric Mobility

4. Optimization and Evaluation of Rotational Performance in Autonomous Electric Mobility

Understand the principles of rotational dynamics and their application in autonomous electric mobility systems.

Analyze the factors that influence the energy efficiency of rotors and their impact on range.

Study design optimization techniques for rotors, including material selection and geometric configuration.

Evaluate rotor performance through computational simulations and experimental tests.

Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.

Dimension laminates in composites, joints, and bonded joints with FE.

  • Implement damage tolerance and NDT (UT/RT/thermography).
  • Explore vibration control methodologies and their application in electric mobility rotors.
  • Evaluate the impact of environmental conditions (temperature, humidity, etc.) on rotor performance.
  • Develop skills in using specialized software for rotor analysis and design.
  • Understand the safety standards and regulations relevant to autonomous electric mobility.
  • 5. Analysis and Performance of Rotors in Autonomous Electric Vehicles

    5. Analysis and Performance of Rotors in Autonomous Electric Vehicles

    Evaluate the structural and aerodynamic dynamics of rotors, including the study of flap-lag-torsion couplings, the whirl flutter phenomenon, and the effects of fatigue on materials.

    Apply advanced dimensioning techniques for the design of rotor components made of composite materials, paying special attention to joints and bonded joints, using finite element (FE) analysis.

    Integrate damage tolerance methodologies into the design and manufacturing process, and employ non-destructive testing (NDT) methods, such as ultrasonic testing (UT), radiography (RT), and thermography, for the inspection and evaluation of the structural integrity of rotors.

    6. Simulation and Analysis of Rotational Dynamics in Autonomous Electrical Systems

    6. Simulation and Analysis of Rotational Dynamics in Autonomous Electrical Systems

    Understand vibration and stability phenomena in rotors of autonomous electrical systems.

    Model and simulate the rotational dynamics of critical components.

    Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.

    Master the use of simulation software for rotor analysis.

    Evaluate the dynamic response to operating conditions and faults.

    Dimension laminates in composites, joints, and bonded joints using finite element analysis (FE).

    Apply finite element analysis (FEA) methods for structural optimization.

    Implement damage tolerance. and NDT (UT/RT/thermography).

  • Understand non-destructive testing techniques and their application.
  • Interpret results and generate technical analysis reports.
  • movilidad eléctrica

    Who this program is for:

    Autonomous electric mobility course

    • Graduates in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related fields.
    • Professionals from OEMs (Original Equipment Manufacturers) of electric vertical takeoff and landing (eVTOL) vehicles, MROs (Maintenance, Repair, and Overhaul Organizations), consulting firms, and technology centers.
    • Flight Test Engineers, certification engineers, avionics engineers, control engineers, and flight dynamics engineers seeking specialization in autonomous electric mobility.
    • Regulators/authorities and professional profiles related to Urban Air Mobility (UAM) and eVTOL who require skills in compliance and regulatory compliance.

    Recommended requirements: basic knowledge of aerodynamics, control systems, and structures. Language level Spanish (ES) or English (EN): B2+ / C1. We offer bridging tracks to help students reach the required level.

    • 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 Autonomous Mobility and Electric Propulsion Systems
    1.2 Autonomous Mobility Systems Architecture
    1.3 Control Fundamentals for Autonomous Vehicles
    1.4 Sensors and Perception for Autonomous Mobility
    1.5 Path Planning and Autonomous Navigation
    1.6 Design of Autonomous Movement Systems
    1.7 Implementation of Control Strategies
    1.8 Testing and Validation of Autonomous Mobility Systems
    1.9 Integration of Autonomous Mobility Systems
    1.10 Future Perspectives in Autonomous Mobility

    2.2 Rotor Fundamentals in Autonomous Electric Mobility
    2.2 Design and Analysis of Rotors for Electric Vehicles
    2.3 Rotor Aerodynamics: Principles and Applications
    2.4 Rotor Performance Evaluation
    2.5 Rotor Optimization for Energy Efficiency
    2.6 Rotor Materials and Manufacturing
    2.7 Control and Stability in Rotor Systems
    2.8 Rotor Simulation and Modeling
    2.9 Rotor Testing and Validation
    2.20 Future Trends in Rotor Technology

    3.3 Introduction to Autonomous Electric Mobility
    3.2 Architectures of Autonomous Electric Systems
    3.3 Sensors and Actuators in Autonomous Vehicles
    3.4 Control and Navigation Systems
    3.5 Batteries and Energy Management
    3.6 Communication and Safety Protocols
    3.7 Regulatory Framework and Standards
    3.8 Case Studies: Current Applications
    3.9 Future Trends in Autonomous Mobility
    3.30 Challenges and Opportunities

    2.3 Fundamentals of Rotor Aerodynamics
    2.2 Design and Analysis of Airfoils
    2.3 Modeling and Simulation of Rotor Performance
    2.4 Rotor Optimization Methods
    2.5 Rotor Materials and Manufacturing
    2.6 Performance Evaluation: Testing and Measurement
    2.7 Energy Efficiency and Performance
    2.8 Noise and Vibration in Rotors
    2.9 Case Studies: Rotor Performance in Different Applications
    2.30 Maintenance and Service Life Considerations

    3.3 Operating Principles of Rotary Engines
    3.2 Types of Rotary Engines and Their Applications
    3.3 Engine Selection for Autonomous Vehicles
    3.4 Design and Optimization of Rotary Engines
    3.5 Control and Management of Rotary Engines
    3.6 Cooling and Thermal Management Systems
    3.7 Integration of Rotary Engines into Propulsion Systems
    3.8 Failure Analysis and Reliability
    3.9 Technological Advances in Rotary Engines
    3.30 Case Studies: Rotary Engines in Autonomous Vehicles

    4.3 Principles of Rotational Optimization
    4.2 Design and Analysis of Rotational Propulsion Systems
    4.3 Modeling and Simulation of Rotational Performance
    4.4 Algorithm Optimization Methods
    4.5 Performance Evaluation: Testing and Measurement
    4.6 Impact on Energy Efficiency
    4.7 Noise and Vibration Reduction
    4.8 Optimization for Different Operating Conditions
    4.9 Case Studies: Rotational Optimization in Different Applications
    4.30 Challenges and Future Trends

    5.3 Principles of Aerodynamics and Rotor Design
    5.2 Material Selection and rotor manufacturing
    5.3 Rotor performance modeling and simulation
    5.4 Force and moment analysis
    5.5 Rotor design and optimization
    5.6 Wind tunnel testing and measurements
    5.7 Vibration and noise analysis
    5.8 Integration with control systems
    5.9 Case studies: Rotor performance in different designs
    5.30 Challenges and opportunities

    6.3 Fundamentals of rotational dynamics
    6.2 Modeling and simulation of rotational systems
    6.3 Stability and control analysis
    6.4 Design of control systems for rotational dynamics
    6.5 Integration of electrical and mechanical systems
    6.6 Vibration and resonance analysis
    6.7 Damping and noise reduction techniques
    6.8 Applications in autonomous electric vehicles
    6.9 Case studies: Simulation and analysis in different systems
    6.30 Challenges and future trends

    7.3 Rotor selection and specification
    7.2 Design and implementation of mounting systems
    7.3 Integration of rotors with control systems Control
    7.4 Rotor Calibration and Adjustment
    7.5 Testing and Validation on Test Platforms
    7.6 Safety Considerations
    7.7 Maintenance Protocols
    7.8 Performance Optimization
    7.9 Case Studies: Implementation in Different Vehicles
    7.30 Challenges and Best Practices

    8.3 Fundamentals of Aerodynamics and Rotor Design
    8.2 Force and Moment Analysis in Rotors
    8.3 Rotor Performance Modeling and Simulation
    8.4 Optimization Methods
    8.5 Testing and Measurement
    8.6 Vibration and Noise Analysis
    8.7 Energy Efficiency
    8.8 Design for Different Operating Conditions
    8.9 Case Studies: Performance in Different Applications
    8.30 Challenges and Future Trends

    4.4 Introduction to Autonomous Electric Propulsion
    4.2 Legislation and Regulations in Autonomous Systems
    4.3 Design of Control Systems for Autonomous Mobility
    4.4 Architectures of Electric Mobility Systems
    4.5 Sensors and Actuators in Autonomous Vehicles
    4.6 Functional Safety and Cybersecurity
    4.7 Communication Protocols in Autonomous Systems
    4.8 Testing and Validation of Control Systems
    4.9 Integration of Systems and Platforms
    4.40 Case Study: Design of an Autonomous Electric Mobility System

    2.4 Principles of Rotor Aerodynamics
    2.2 Modeling and Simulation of Rotor Performance
    2.3 Flow Analysis and CFD
    2.4 Optimization of Rotor Design
    2.5 Material Selection and Manufacturing of Rotors
    2.6 Performance Evaluation Methods
    2.7 Evaluation of Noise and Vibration
    2.8 Optimization of Energy Consumption
    2.9 Wind Tunnel and Field Testing
    2.40 Case Study: Optimization of Rotor Performance

    3.4 Principles of Operation of Rotary Motors
    3.2 Types of Rotary Motors for Electric Vehicles
    3.3 Selection of Rotary Motors
    3.4 Motor Modeling and Simulation
    3.5 Control and Management of Rotary Motors
    3.6 Motor Design Optimization
    3.7 Cooling Systems
    3.8 Failure and Reliability Analysis
    3.9 Motor Testing and Evaluation
    3.40 Case Study: Optimization of a Rotary Motor

    4.4 Analysis of Rotational Performance in Electric Mobility
    4.2 Modeling and Simulation of Rotational Systems
    4.3 Motion and Stability Control
    4.4 Control System Design
    4.5 Performance Optimization Strategies
    4.6 Energy Efficiency Evaluation
    4.7 Vibration and Noise Analysis
    4.8 Integration of Rotational Systems
    4.9 Testing and Validation of Rotational Performance
    4.40 Case Study: Optimization of Rotational Performance

    5.4 Principles of Operation of Rotors in Autonomous Electric Vehicles
    5.2 Rotor Design for Electric Vehicles
    5.3 Analysis 5.4 Rotor Aerodynamics
    5.5 Material Selection and Manufacturing
    5.6 Performance Modeling and Simulation
    5.7 Performance Evaluation Under Real-World Conditions
    5.8 Rotor Failure and Reliability Analysis
    5.9 Design Optimization for Energy Efficiency
    5.10 Rotor Testing and Validation
    5.40 Case Study: Analysis of a Rotor in an Autonomous Electric Vehicle

    6.4 Rotational Dynamics Modeling
    6.2 Simulation of Autonomous Electric Systems
    6.3 Stability and Control Analysis
    6.4 Controller Design
    6.5 Flight Scenario Simulation
    6.6 Vibration and Noise Analysis
    6.7 Rotational Dynamics Optimization
    6.8 Systems and Platform Integration
    6.9 Testing and Validation in Simulations
    6.40 Case Study: Rotational Dynamics Simulation

    7.4 Design and Selection of Electric Rotors
    7.2 Rotor Implementation and Tuning Methods
    7.3 Rotor Integration into Platforms
    7.4 Control and Automation Systems
    7.5 Rotor Calibration and Configuration
    7.6 Flight Performance Analysis
    7.7 Maintenance and Troubleshooting
    7.8 Flight Testing and Validation
    7.9 Safety and Regulations
    7.40 Case Study: Rotor Implementation

    8.4 Review of Optimization Needs
    8.2 Rotor Design and Material Selection
    8.3 Aerodynamic and Structural Performance Analysis
    8.4 Energy Consumption Optimization
    8.5 Control and Stability System Design
    8.6 Rotor Integration into the Complete System
    8.7 Testing and Validation Under Various Conditions
    8.8 Performance Evaluation and Data Analysis
    8.9 Safety and Regulatory Considerations
    8.40 Case Study: Rotor Optimization

    5.5 Introduction to Legislation and Regulations in Autonomous Electric Mobility
    5.5 Fundamental Concepts of Mobility System Design
    5.3 Basic Principles of Autonomous System Control
    5.4 Key Components of an Electric Mobility System
    5.5 Regulations and Standards Applicable to Electric Mobility
    5.6 Safety Considerations in Autonomous System Design
    5.7 Electric Mobility System Architectures
    5.8 Integration of Sensors and Actuators
    5.9 Fundamentals of Route Planning and Navigation
    5.50 Challenges and Opportunities in Autonomous Electric Mobility

    5.5 Design of Control Systems for Autonomous Mobility
    5.5 Control Strategies for Autonomous Electric Vehicles
    5.3 Energy Efficiency Assessment in Rotors
    5.4 Rotor Performance Optimization for Electric Mobility
    5.5 Airflow Analysis Methods in Rotors
    5.6 Aerodynamic Optimization of Rotors
    5.7 Rotor Modeling and Simulation
    5.8 Rotor Design for Different Applications
    5.9 Performance Assessment Techniques Rotors
    5.50 Implementation of Optimization Strategies

    3.5 Operating Principles of Rotary Motors
    3.5 Types of Rotary Motors and Their Applications
    3.3 Design and Selection of Motors for Autonomous Electric Vehicles
    3.4 Performance Analysis of Rotary Motors
    3.5 Optimization Methods for Rotary Motors
    3.6 Energy Efficiency and Thermal Management in Motors
    3.7 Integration of Motors into Propulsion Systems
    3.8 Control and Monitoring of Rotary Motors
    3.9 Motor Testing and Validation
    3.50 Case Studies of Rotary Motors in Electric Vehicles

    4.5 Rotational Dynamics in Electric Mobility Systems
    4.5 Evaluation of Rotational Performance
    4.3 Optimization of Rotational Performance
    4.4 Modeling and Simulation of Rotational Behavior
    4.5 Design of Rotor Systems for Different Applications
    4.6 Vibration and Noise Analysis in Rotors
    4.7 Rotational Control and Stability Methods
    4.8 Testing and Validation of Rotational Performance
    4.9 Integration of Rotors into Systems Propulsion
    4.50 Rotational Performance Case Studies in Electric Mobility

    5.5 Rotor Operating Principles and Design
    5.5 ​​Aerodynamic Analysis of Rotors
    5.3 Rotor Modeling and Simulation
    5.4 Rotor Materials and Manufacturing
    5.5 Rotor Integration in Electric Vehicles
    5.6 Rotor Performance Evaluation in Electric Vehicles
    5.7 Rotor Stability and Control Analysis
    5.8 Rotor Testing and Validation
    5.9 Rotor Design Optimization
    5.50 Rotor Case Studies in Autonomous Electric Vehicles

    6.5 Introduction to Rotational Dynamics
    6.5 Mathematical Modeling of Rotational Systems
    6.3 Numerical Simulation Methods
    6.4 Rotational Dynamics Simulation in Autonomous Electric Systems
    6.5 Simulation Results Analysis
    6.6 Model and Simulation Validation
    6.7 Simulation Applications in System Design
    6.8 Simulation Software and Tools
    6.9 Stability Considerations and Control
    6.50 Rotational Dynamics Simulation Case Studies

    7.5 Design and Implementation of Rotors on Electric Mobility Platforms
    7.5 Rotor Selection and Assembly
    7.3 Rotor Tuning and Calibration
    7.4 Rotor Integration with Control Systems
    7.5 Platform Testing and Validation
    7.6 Rotor Performance Optimization on Platforms
    7.7 Data Analysis and Results
    7.8 Safety Considerations
    7.9 Rotor Maintenance and Repair
    7.50 Practical Implementation and Tuning Case Studies

    8.5 Rotor Performance Evaluation Methods
    8.5 Performance Optimization Techniques
    8.3 Data Analysis and Results
    8.4 Rotor Design for Different Applications
    8.5 Rotor Modeling and Simulation
    8.6 Rotor Materials and Manufacturing
    8.7 Rotor Testing and Validation
    8.8 Safety Considerations
    8.9 Rotor Integration into Propulsion Systems
    8.50 Performance Optimization Case Studies

    6.6 Types of Autonomous Electric Mobility Systems
    6.2 Key Components: Batteries, Motors, Controllers
    6.3 Control and Navigation Architectures
    6.4 Sensors and Perception Systems for Autonomy
    6.5 Design Principles of Electric Mobility Systems
    6.6 Hardware and Software Integration
    6.7 Communication Protocols and Networks
    6.8 Safety and Reliability in Autonomous Systems
    6.9 System Testing and Validation
    6.60 Future Trends in Autonomous Electric Mobility

    2.6 Architecture and Design of Autonomous Electric Systems
    2.2 Components of Electric Systems: Batteries, Motors, Inverters
    2.3 Design of Control and Energy Management Systems
    2.4 Safety Requirements and Regulations
    2.5 Component Selection and Performance Optimization
    2.6 System Integration and Functional Testing
    2.7 Design of Charging and Maintenance Systems
    2.8 Cost and Energy Efficiency Considerations
    2.9 Environmental Impact and Sustainability
    2.60 Case Studies in the Design of Autonomous Electric Systems

    3.6 Motor Fundamentals Rotary Engines
    3.2 Types of Rotary Engines and Their Applications
    3.3 Operating Principles and Design of Rotary Engines
    3.4 Performance and Efficiency Analysis
    3.5 Rotary Engine Optimization Methods
    3.6 Material Selection and Manufacturing Processes
    3.7 Rotary Engine Control and Regulation
    3.8 Cooling Systems and Thermal Management
    3.9 Rotary Engine Simulation and Modeling
    3.60 Practical Case Studies in Rotary Engine Optimization

    4.6 Principles of Rotational Aerodynamics
    4.2 Rotor Design and Selection
    4.3 Rotational Performance Analysis: Thrust, Power, Efficiency
    4.4 Rotor Design Optimization
    4.5 Control and Stabilization of Rotational Systems
    4.6 Flight Dynamics and Maneuverability
    4.7 Rotational System Modeling and Simulation
    4.8 Rotational Performance Testing and Evaluation
    4.9 Systems Integration and Control
    4.60 Rotational Performance Optimization Case Studies

    5.6 Types of Rotors in Vehicles Electric Systems
    5.2 Rotor Design and Selection
    5.3 Force and Moment Analysis in Rotors
    5.4 Rotor Modeling and Simulation
    5.5 ​​Material Selection and Manufacturing Processes
    5.6 Rotor Control and Regulation
    5.7 Rotor Performance Evaluation
    5.8 Rotor Testing and Validation
    5.9 Rotor Integration in Electric Vehicles
    5.60 Rotor Failure Analysis and Maintenance

    6.6 Mathematical Modeling of Rotational Systems
    6.2 Numerical Simulation Methods
    6.3 Rotational Dynamics Analysis: Stability, Control
    6.4 Flight Scenario Simulation
    6.5 Vibration and Resonance Analysis
    6.6 Control System Design for Rotational Systems
    6.7 Simulation Model Validation and Verification
    6.8 Simulation Tools and Software
    6.9 Results Analysis and Design Optimization
    6.60 Practical Case Studies of Electric Autonomous System Simulation

    7.6 Rotor Selection and Configuration
    7.2 Rotor Mounting and Alignment
    7.3 Calibration and Adjustment of Control Systems
    7.4 Functional Testing and Performance Evaluation
    7.5 Optimization of Control Parameters
    7.6 Integration of Sensors and Data Acquisition Systems
    7.7 Troubleshooting and Diagnosis
    7.8 Rotor Maintenance and Repair
    7.9 System Upgrades and Improvements
    7.60 Rotor Implementation Case Studies

    8.6 Rotor Performance Evaluation Methods
    8.2 Factors Influencing Rotor Performance
    8.3 Optimized Aerodynamic Design
    8.4 Material Selection and Manufacturing Processes
    8.5 Vibration and Noise Analysis
    8.6 Control and Stability Optimization
    8.7 Performance Testing and Validation
    8.8 Systems Integration and Design
    8.9 Cost, Efficiency, and Durability
    8.60 Rotor Performance Optimization Case Studies

    • 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.

    Please enable JavaScript in your browser to complete this form.

    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”).

    Scroll to Top
    SEIUM – Institute of Advanced Engineering
    Privacy Overview

    This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.