Course on digital modeling of critical systems
About our
The Digital Modeling of Critical Systems course focuses on developing skills for creating and analyzing robust computational models of complex systems, essential in industries such as software engineering, aerospace, and finance. It emphasizes the application of modeling methodologies based on UML, SysML, and other standard notations for system specification and design, along with the use of simulation and analysis tools for model verification and validation. The importance of functional safety, risk management, and regulatory compliance in the design of critical systems is addressed. The course provides hands-on experience using systems modeling, simulation, and analysis software, covering topics such as systems architecture, requirements analysis, software testing, and configuration management. Participants will learn to model complex systems, detect and mitigate errors, and evaluate system performance and reliability. The course prepares professionals for roles such as systems engineers, model analysts, software architects, and validation specialists, enabling them to address challenges in critical projects.
Course on digital modeling of critical systems
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
725 $
Competencies and results
What you will learn
1. Digital Modeling and Simulation of Critical Naval Systems
- Master the modeling and simulation of critical naval systems using specialized software.
- Understand and analyze the principles of aerodynamics, hydrodynamics, and structural dynamics as applied to ships and submarines.
- Apply simulation techniques to evaluate the performance, stability, and safety of vessels under various operating conditions.
- Develop detailed digital models of naval components and systems, including hulls, propellers, rudders, and control systems.
- 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).
- Use simulation tools to predict the response of naval systems to extreme loads, such as waves, wind, and maneuvers.
- Interpret and analyze simulation results to optimize ship design and operation.
- Learn to identify and mitigate risks associated with fatigue, corrosion, and other failure modes in naval systems.
- Become familiar with naval industry standards and regulations related to vessel design, construction, and safety.
- Develop practical skills in using simulation software and interpreting results.
- Improve the ability to make informed, data-driven decisions in the design and operation of naval systems.
- Understand predictive maintenance concepts and the application of simulation techniques to optimize maintenance programs.
2. Advanced Digital Modeling of Critical Systems in the Naval Industry
- Master advanced structural and aeroelastic dynamics simulation.
- Implement 3D modeling techniques for complex naval components and systems.
- Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.
- Gain in-depth knowledge of finite element analysis (FEA) applied to naval structures.
- Dimension laminates in composites, connections, and bonded joints using FE.
- Apply design and analysis methodologies for strength and durability optimization.
- Implement damage tolerance and NDT (UT/RT/thermography).
- Utilize specialized software for modeling and simulating critical systems.
- Understand the regulations and standards of the naval industry related to digital modeling.
- Develop skills for decision-making based on simulation analysis.
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. Analysis and Design of Digital Models for Naval Systems
- Analysis of the structural dynamics of naval components: You will understand vibration modes, including flap-lag-torsion, crucial for stability and performance.
- Evaluation of aeroelastic stability and prevention of whirl flutter in rotating structures, vital for safety and efficiency.
- Study of the fatigue resistance of materials and components, essential for the durability and service life of naval systems.
- Design of naval structures using composite materials: You will learn to dimension high-performance laminates and optimize the design to withstand specific loads.
- Simulation of joints and bonded joints with finite element analysis (FE): You will master the use of simulation software to predict structural behavior and optimize the design.
- Application of the methodology Damage tolerance: You will acquire knowledge to assess and mitigate the effects of potential damage to naval structures.
- Mastery of non-destructive testing (NDT) techniques: You will learn to use UT (Ultrasound), RT (Radiography), and thermography to inspect and evaluate the integrity of components.
1. Digital Modeling of Critical Systems for the Naval Fleet
- Master the analysis of crucial aeroelastic phenomena: flap-lag-torsion, whirl flutter, and structural fatigue assessment in naval fleet components.
- Apply advanced finite element (FE) techniques for the accurate dimensioning of composite laminated structures, including the design and analysis of joints and bonded joints.
- Implement damage tolerance (DTT) strategies to ensure the safety and durability of systems, along with the application of non-destructive testing (NDT) methods such as ultrasonic testing (UT), radiography (RT), and thermography for the inspection of critical components.
6. Simulation and Optimization of Digital Naval Critical Systems
6. Simulation and Optimization of Critical Digital Naval Systems
- Modeling and simulation of critical naval systems using specialized software.
- Optimization of the efficiency and performance of digital naval systems.
- Failure analysis and anomaly detection in digital systems.
- Design and implementation of simulation strategies for decision-making.
- Use of simulation tools for predicting system behavior.
- Evaluation of the impact of changes in the design and operation of naval systems.
- Development of high-fidelity simulation models for complex systems.
- Application of optimization techniques for performance improvement and cost reduction.
- Data integration and results analysis for simulation-based decision-making.
- Design of interfaces and results visualization for a better understanding of the systems.
Who this program is for:
Course on digital modeling of critical systems
- Engineers with degrees in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related fields.
- Professionals with experience in rotorcraft/eVTOL OEMs, MRO (Maintenance, Repair, and Operations), aeronautical consulting, or who work in technology centers focused on the aerospace sector.
- Experts in areas such as Flight Testing, aeronautical certification, avionics, control systems, and flight dynamics who wish to deepen their knowledge and specialize in digital modeling of critical systems.
- Personnel from regulatory bodies/aeronautical authorities and professionals involved in the development of Urban Air Mobility (UAM) / eVTOL who need to acquire knowledge in regulatory compliance and modeling.
Recommended requirements: Prior knowledge of aerodynamics, systems control, and structures is recommended. A B2+ or C1 level of English (ES/EN) is required. Bridging tracks are available to help participants reach the required level if necessary.
- 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.
Module 1 — Digital Modeling and Simulation of Critical Naval Systems: Introduction
1.1 Introduction to Digital Modeling in the Naval Industry
1.2 Principles of Simulation of Critical Naval Systems
1.3 Naval Components and Subsystems: Overview
1.4 Naval Modeling Tools and Software
1.5 Digital Modeling Methodology: A Step-by-Step Approach
1.6 Case Studies: Examples of Modeling in the Naval Industry
1.7 Validation and Verification of Digital Models
1.8 Introduction to Data Analysis in Naval Models
1.9 Importance of Optimization in Digital Naval Modeling
1.10 Future Trends in Digital Naval Modeling
Module 2 — Advanced Digital Modeling of Critical Systems in the Naval Industry
2.1 Advanced 3D Digital Modeling of Naval Components
2.2 Fluid Flow Simulation in Naval Systems
2.3 Structural and Dynamic Analysis of Naval Structures
2.4 Modeling and Simulation of Naval Propulsion Systems
2.5 Modeling of Naval Electrical and Electronic Systems
2.6 Simulation of Sea Behavior: Waves and Wind
2.7 Model Integration: Complex Naval Systems
2.8 Design Optimization through Digital Modeling
2.9 Risk and Reliability Analysis in Naval Systems
2.10 Applications of Virtual and Augmented Reality in Modeling
Module 3 — Optimization of Digital Modeling for the Naval Industry
3.1 Optimization Strategies in Naval Modeling
3.2 Parametric Optimization and Design of Experiments
3.3 Optimization Methods: Genetic Algorithms and Simulation
3.4 Optimization of Energy Efficiency in Naval Systems
3.5 Optimization of Drag in Water
3.6 Structural Design Optimization for Weight Reduction
3.7 Optimization of Naval Control and Automation Systems
3.8 Cost-Benefit Analysis in Design Optimization
3.9 Integration of Optimization into the Modeling Workflow
3.10 Advanced Optimization Tools for the Naval Industry
Module 4 — Analysis and Design of Digital Models for Naval Systems
4.1 Principles of Naval Digital Model Analysis
4.2 Data Analysis and Visualization in Naval Models
4.3 Design of Experiments for Model Analysis
4.4 Sensitivity Analysis in Critical Naval Systems
4.5 Uncertainty Analysis in Naval Modeling
4.6 Design of Models for Naval Operations Simulation
4.7 Design of Models for Performance Evaluation
4.8 Design of Models for Emergency Scenario Simulation
4.9 Design Methodologies for the Naval Industry
4.10 Case Studies: Design and Analysis of Naval Models
Module 5 — Digital Modeling of Critical Systems for the Naval Fleet
5.1 Modeling of Combat and C4ISR Systems
5.2 Modeling of Communication and Navigation Systems
5.3 Modeling of Propulsion and Onboard Power Systems
5.4 Modeling of Weapons and Defense Systems
5.5 Modeling of Life Support and Safety Systems
5.6 Modeling of Damage Control and Emergency Management Systems
5.7 Modeling of Naval Platforms and Structures
5.8 Modeling of Human-Machine Interaction in Naval Systems
5.9 Life Cycle Analysis of Naval Systems
5.10 Applications of Digital Modeling in Fleet Planning
Module 6 — Simulation and Optimization of Digital Naval Critical Systems
6.1 Advanced Simulation Techniques in Systems Naval
6.2 Monte Carlo Simulation and Risk Analysis
6.3 Discrete Event Simulation in Naval Operations
6.4 Fuel and Energy Efficiency Optimization
6.5 Route Optimization and Mission Planning
6.6 Naval Logistics and Supply Chain Optimization
6.7 Combat Scenario and Naval Tactics Simulation
6.8 System Maintainability and Reliability Optimization
6.9 Artificial Intelligence Applications in Naval Simulation
6.10 Case Studies: Simulation and Optimization in Naval Practice
Module 7 — Digital Modeling of Critical Naval Systems: Analysis and Optimization
7.1 Review of Naval Digital Modeling Methodologies
7.2 Data Analysis Techniques Applied to Naval Models
7.3 Failure Analysis and Failure Modes in Naval Systems
7.4 Design Optimization for Cost Reduction
7.5 Performance and Energy Efficiency Optimization
7.6 Safety and Reliability Optimization
7.7 Integration of Digital Modeling into the Decision-Making Process
7.8 Sensitivity Analysis and Case Studies
7.9 Development of Customized Modeling Tools
7.10 Trends and Future Challenges in Naval Modeling
Module 8 — Digital Modeling and Optimization of Critical Naval Systems
8.1 Integration of Digital Modeling into Conceptual Design
8.2 Hull Shape and Hydrodynamic Optimization
8.3 Structural Design and Strength Optimization
8.4 Propulsion and Power System Optimization
8.5 Control System Modeling and Optimization
8.6 Design Optimization for Manufacturing and Maintenance
8.7 Applications of Virtual and Augmented Reality in Optimization
8.8 Life Cycle Analysis and Sustainability
8.9 Case Studies of Optimization in the Shipbuilding Industry
8.10 Future Perspectives and Trends in Naval Modeling
2.2 Introduction to Digital Naval Modeling
2.2 Basic Principles of Naval Systems Simulation
2.3 Identifying Critical Systems on Ships
2.4 Initial Naval Modeling Tools and Software
2.5 Creating Basic Digital Models of Naval Components
2.6 Simulating Simple Operational Scenarios
2.7 Preliminary Performance and Efficiency Analysis
2.8 Data Integration and Basic Documentation
2.9 Introduction to Model Validation and Verification
2.20 Case Studies: Initial Digital Modeling of Common Naval Systems
3.3 Introduction to Naval Digital Optimization: Key Concepts
3.2 Digital Modeling Tools for Optimization
3.3 Optimization Parameters in Naval Systems
3.4 Simulation Techniques for Optimization
3.5 Data Analysis and Performance Metrics
3.6 Design of Experiments and Optimization
3.7 Multiobjective Optimization in Naval Systems
3.8 Implementation of Optimization Algorithms
3.9 Case Studies: Optimization of Specific Systems
3.30 Future Trends in Naval Digital Optimization
4.4 Fundamentals of Digital Naval Systems Design
4.2 Principles of Digital Modeling for Naval Applications
4.3 Software Tools for Digital Naval Design
4.4 Creating Digital Models of Naval Hulls and Structures
4.5 Modeling Propulsion Systems and Naval Machinery
4.6 Digital Design of Weapons and Sensor Systems
4.7 Systems Integration: Modeling Complex Interactions
4.8 Validation and Verification of Digital Naval Models
4.9 Design for Optimization: Improving Digital Naval Performance
4.40 Case Studies: Real-World Applications of Digital Naval Design
5.5 Introduction to Digital Modeling in the Naval Industry
5.5 Principles of Naval Systems Simulation
5.3 Types of Applicable Models and Simulations
5.4 Tools and Software for Naval Modeling
5.5 Design and Construction of a Basic Naval Model
5.6 Simulation Execution and Results Analysis
5.7 Model Validation and Verification
5.8 Practical Applications in Decision Making
5.9 Case Studies: Success Stories
5.50 Future Trends in Naval Modeling and Simulation
6.6 Principles of Simulation in Naval Systems
6.2 Creating Digital Models for Naval Simulations
6.3 Simulating Scenarios in Naval Operations
6.4 Resource Optimization in Digital Naval Systems
6.5 Performance Analysis of Simulated Naval Systems
6.6 Data Integration and Analysis in Naval Simulations
6.7 Design and Optimization of Naval Combat Models
6.8 Simulating Risks and Contingencies in Naval Operations
6.9 Optimizing Energy Efficiency in Naval Systems
6.60 Practical Applications and Case Studies in Naval Simulation
- 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”).