1. Comprehensive Maritime Incident Management: protocols, roles, and chain of command for coordinated response
2. Operational Planning and Execution: briefing, routes, weather windows, and go/no-go criteria
3. Rapid Risk Assessment: criticality matrix, scene control, and decision-making under pressure
4. Operational Communication: VHF/GMDSS, standardized reports, and inter-agency liaison
5. Tactical Mobility and Safe Boarding: RHIB maneuvers, approach, mooring, and recovery
6. Equipment and Technologies: PPE, signaling, satellite tracking, and field data logging
7. Immediate Care of the Affected: primary assessment, hypothermia, trauma, and stabilization for evacuation
8. Adverse Environmental Conditions: swell, Visibility, flows, and operational mitigation

   Simulation and training: critical scenarios, use of VR/AR, and exercises with performance metrics

   Documentation and continuous improvement: lessons learned, indicators (MTTA/MTTR), and SOP updates

1. Introduction to AMVs and Electric Vessels: Types, Architectures, and Applications
2. Fundamentals of Autonomous Driving/Navigation: Perception, Planning, and Control
3. Sensor Systems: LiDAR, Radar, Cameras, IMU, GPS/GNSS
4. Control Architecture: Processing Units, Communication Buses, Real-Time Operating Systems
5. Actuation Systems: Electric Motors, Steering/Rudder Systems, Brakes
6. Batteries and Battery Management Systems (BMS): Types, Characteristics, Safety
7. Vehicle/Marine Communication Networks: CAN Bus, Ethernet, Wireless
8. Functional Safety: Risk Analysis, Secure Systems Design, Standards (ISO 26262, IEC 61508)

   Cybersecurity in VAE/EE: Threats, Vulnerabilities, Protection Measures

   Regulations and Standards: Current Legislation, Approval, Certification

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1. Introduction to Autonomous Driving: Levels, Benefits, and Challenges
2. Autonomous Vehicle Architecture: Perception, Planning, and Control
3. Sensors: LiDAR, Radar, Cameras, Ultrasound, IMU, and GNSS
4. Data Processing and Sensor Fusion: Algorithms, Filtering, and Calibration
5. Route Planning and Decision Making: Search and Optimization Algorithms
6. Vehicle Control: Actuators, Steering, Braking, and Acceleration Systems
7. Functional Safety: Risk Analysis, Safe Design, and Validation
8. Cybersecurity in Autonomous Vehicles: Threats, Vulnerabilities, and Countermeasures
9. Regulations and Standards: SAE, ISO, and Regulations Specifics
10. Testing and validation: simulation, closed-circuit and public road testing

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1. Introduction to Intelligent Systems Architecture: Layers, Components, Interfaces
2. Sensors and Actuators: Types, Characteristics, Integration with the Environment
3. Control Systems: PID, Fuzzy Logic, Predictive Control
4. Navigation Algorithms: SLAM, Pathfinding, Obstacle Avoidance
5. Artificial Intelligence: Machine Learning, Neural Networks, Computer Vision
6. Mission Planning: Goal Definition, Constraints, and Optimization
7. Location and Positioning Systems: GPS, IMU, Odometry
8. Environmental Perception: Data Processing, Sensor Fusion, World Modeling
9. Communication and Connectivity: Protocols, Networks, Interoperability
10. Ethics and Safety in Autonomous Systems: Responsibility, Privacy, data protection

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1. System Architecture and Components: Structural design, materials, and subsystems (mechanical, electrical, electronic, and fluid) with selection and assembly criteria for marine environments
2. Fundamentals and Principles of Operation: Physical and engineering foundations (thermodynamics, fluid mechanics, electricity, control, and materials) that explain performance and operating limits
3. Safety and Environmental (SHE): Risk analysis, PPE, LOTO, hazardous atmospheres, spill and waste management, and emergency response plans
4. Applicable Regulations and Standards: IMO/ISO/IEC requirements and local regulations;
5. Conformance criteria, certification, and best practices for operation and maintenance
6. Inspection, testing, and diagnostics: Visual/dimensional inspection, functional testing, data analysis, and predictive techniques (vibration, thermography, fluid analysis) to identify root causes
7. Preventive and predictive maintenance: Hourly/cycle/seasonal plans, lubrication, adjustments, calibrations, consumable replacement, post-service verification, and operational reliability
8. Instrumentation, tools, and metrology: Measuring and testing equipment, diagnostic software, calibration and traceability; selection criteria, safe use, and storage
9. Onboard integration and interfaces: Mechanical, electrical, fluid, and data compatibility; Sealing and watertightness, EMC/EMI, corrosion protection, and interoperability testing.

   Quality, acceptance testing, and commissioning: process and materials control, FAT/SAT, bench and sea trials, go/no-go criteria, and evidence documentation.

   Technical documentation and integrated practice: logs, checklists, reports, and a complete case study (safety → diagnosis → intervention → verification → report) applicable to any system.