Diploma in Validation with SimRacing and Telemetry of Use

9.9 Introduction to Naval Simulation: Principles and Applications
9.9 Telemetry Fundamentals: Data Collection and Analysis
9.3 Simulation Tools: Software and Hardware
9.4 Data Interpretation: Key Variables in Simulation
9.5 Model Validation: Verification and Calibration
9.6 Practical Applications: Initial Case Studies
9.7 Introduction to Naval Simulation Races
9.8 Results Analysis and Report Generation
9.9 Introduction to Telemetry in Naval Environments
9.90 Introduction to Naval Design and its Foundations

9.9 Introduction to Race Simulation
9.9 Principles of Computational Fluid Dynamics (CFD) in Naval Design
9.3 Hull and Propulsion Modeling: Tools and Techniques
9.4 Aerodynamic and Hydrodynamic Optimization
9.5 Structural Design: Stress and Tension Analysis
9.6 Behavior Simulation in the Sea
9.7 Naval Racing Simulation: Strategies and Tactics
9.8 Interior Design and Ergonomics
9.9 Race and Performance Data Analysis
9.90 Control and Navigation Systems Design

3.9 Introduction to Telemetry Analysis
3.9 Telemetry Data Collection and Processing
3.3 Key Variables and Performance Indicators
3.4 Engine and Propulsion Data Analysis
3.5 Optimizing At-Sea Behavior
3.6 Fine-Tuning the Ship’s Configuration
3.7 Real-Time Data Analysis
3.8 Fault Detection and Diagnostics
3.9 Telemetry-Based Optimization Strategies
3.90 Practical Applications and Case Studies

4.9 Introduction to Data Validation
4.9 Data Sources and Data Types
4.3 Data Cleaning and Preprocessing
4.4 Statistical Analysis of Performance Data
4.5 Correlation and Regression
4.6 Data Visualization and Report Generation
4.7 Validation of Simulation Models with Real Data
4.8 Predictive Analysis and Performance Forecasting
4.9 Analysis of Historical Data and Trends
4.90 Experimental Design and Data Collection

5.9 Introduction to Design and Performance Evaluation
5.9 Hull Design Evaluation: Drag and Stability
5.3 Propulsion System Evaluation: Efficiency and Performance
5.4 Seakeeping Performance Evaluation: Wave and Wind Simulation
5.5 ​​Maneuverability Evaluation: Turning Radius and Rudder Response
5.6 Onboard Comfort Evaluation: Design and Analysis
5.7 Cost and Life Cycle Evaluation
5.8 Racing Performance Evaluation
5.9 Risk Analysis and Mitigation
5.90 Conclusions and Recommendations

6.9 Introduction to Simulation Strategies
6.9 Selection Simulation Tools
6.3 Design of Experiments and Test Planning
6.4 Simulation Methodologies: Monte Carlo and Design of Experiments
6.5 Simulation of Multiple Scenarios and Conditions
6.6 Cross-Validation and Model Robustness
6.7 Integration of Simulation with Computer-Aided Design (CAD)
6.8 Multi-Objective Optimization in Naval Design
6.9 Automation of Simulation and Analysis
6.90 Development of Simulation Strategies

7.9 Introduction to Performance Prediction
7.9 Predictive Modeling: Techniques and Methods
7.3 Analysis of Historical Data and Trends
7.4 Development of Regression and Time Series Models
7.5 Validation and Verification of Predictive Models
7.6 Application of Predictive Models in Racing
7.7 Sensitivity Analysis and Performance Optimization
7.8 Failure Prediction and Predictive Maintenance
7.9 Implementation of Predictive Models in Practice
7.90 Applications of Predictive Models

8.9 Introduction to Integral Optimization
8.9 Multidisciplinary Optimization in Naval Design
8.3 Integration of Simulation and Optimization
8.4 Hull Shape Optimization
8.5 Propulsion and Energy Efficiency Optimization
8.6 Structural Design Optimization
8.7 Sea Performance Optimization
8.8 Cost Analysis and Life Cycle Optimization
8.9 Implementation of an Optimization Process
8.90 Conclusions and Next Steps

8.90 Conclusions and Next Steps