Diploma in Root Cause Analytics and Data-Based Diagnostics

9.9 Introduction to Root Cause Analytics (RCA) in the Naval Context
9.9 Importance of Data-Driven Diagnostics in the Naval Industry
9.3 Basic RCA Methodologies: 5 Whys, Ishikawa Diagram, etc.

9.4 Collection and Management of Relevant Data
9.5 Tools and Software for Initial Data Analysis

9.9 Data Selection and Preparation for Root Cause Analysis
9.9 Advanced Data Analysis Techniques: Correlation, Regression
9.3 Use of Dashboards and Data Visualization for Diagnostics
9.4 Optimizing Data Collection Processes for Greater Efficiency
9.5 Identifying Patterns and Trends Through Data Analysis

3.9 In-depth Exploration of RCA Methodologies: FMEA, Fault Tree Analysis, etc.

3.9 Development of data analysis skills: SQL, Python (Pandas, etc.)
3.3 Interpretation of results and construction of causal hypotheses
3.4 Root cause validation techniques
3.5 Effective presentation of findings and recommendations

4.9 Application of RCA in specific systems: propulsion, navigation, etc.

4.9 Advanced Case Studies of Data-Driven Diagnostics in the Naval Industry
4.3 Implementation of Machine Learning Algorithms for Predictive Diagnostics
4.4 Development of Data-Driven Diagnostic Models
4.5 Creation of Technical Reports and Specialized Presentations

5.9 Defining the Objectives and Scope of the Analysis
5.9 Design of Data-Driven Data Collection Systems
5.3 Integration of RCA into Maintenance Planning
5.4 Development of Data-Driven Key Performance Indicators (KPIs)
5.5 Implementation of a Root Cause Analysis System

6.9 Failure Analysis in Naval Propulsion Systems
6.9 Failure Diagnosis in Navigation and Control Systems
6.3 Failure Analysis in Communication and Electronic Systems
6.4 Use of Sensor Data and Maintenance Records
6.5 Development of Data-Driven Corrective Action Plans

7.9 Data Collection Strategies for Root Cause Identification
7.9 Data-Driven Risk Analysis Methodology
7.3 Development of Prioritization Strategies Corrective Action
7.4 Integration of data analysis into the life cycle of naval systems
7.5 Implementation of risk management tools

8.9 Analysis of naval propulsion systems: engines, propellers, etc.

8.9 Analysis of navigation systems: radars, GPS, etc.

8.3 Analysis of control systems: rudders, stabilizers, etc.

8.4 Optimization of system performance through data
8.5 Identification of weaknesses and areas for improvement

9.9 Implementation of Corrective Action (RCA) in naval propulsion systems
9.9 Implementation of RCA in navigation systems
9.3 Implementation of RCA in control systems
9.4 Design of a corrective action plan
9.5 Verification and validation of results
9.6 Documentation and reporting
9.7 Monitoring and follow-up of the effectiveness of actions
9.8 Integration of RCA into the organizational culture
9.9 Continuous improvement of the RCA process