Diploma in Flow and Capacity Optimization with DT

9.9 Introduction to Naval Flows and Their Importance
9.9 Naval Capabilities: Definition and Key Components
9.3 Data Technology (DT): Fundamentals and Applications in the Naval Context
9.4 Data Collection and Management in Naval Environments
9.5 Tools and Technologies for Initial Data Analysis
9.6 Concepts of Naval Optimization and Efficiency
9.7 Integrating DT into Naval Planning and Operations
9.8 Ethics and Safety in the Use of DT in the Naval Sector
9.9 Case Studies: Real-World Applications of DT in the Navy

9.9 Relevant Data Sources for Naval Efficiency Analysis
9.9 Key Performance Indicators (KPIs) in Naval Operations
9.3 Data Analysis Techniques: Descriptive and Inferential Statistics
9.4 Data Visualization: Dashboards and Charts for Naval Analysis
9.5 Time Series Analysis: Identifying Trends and Patterns
9.6 Data Modeling for Scenario Simulation
9.7 Identifying Areas for Improvement Through Data Analysis
9.8 Evaluating the Impact of Improvements on Efficiency
9.9 Case Studies: Data Analysis for Efficiency Improvement in Naval Operations

3.9 Identifying and Mapping Workflows in Naval Operations
3.9 Workflow Optimization Techniques: Lean, Six Sigma, and Other Methodologies
3.3 Process Optimization: Eliminating Bottlenecks and Redundancies
3.4 Workflow Automation: Implementing Systems and Software
3.5 Designing Optimized Workflows for Decision Making
3.6 Supply Chain Management in Naval Environments
3.7 Cost-Benefit Analysis in Workflow Optimization
3.8 Monitoring and Controlling Optimized Workflows: Performance Indicators
3.9 Case Studies: Workflow Optimization in Different Naval Areas

4.9 Evaluation and Improvement of Existing Naval Capabilities
4.9 Integration of Technological Data into Capabilities Planning
4.3 Design and Implementation of New Data-Driven Capabilities
4.4 Optimization of the Use of Naval Resources and Equipment
4.5 Predictive Maintenance Management: Using Data for Planning
4.6 Simulations and Modeling for Capabilities Assessment
4.7 Development of Emergency Response Capabilities
4.8 Risk Analysis and Mitigation in Capabilities Implementation
4.9 Case Studies: Implementing New Capabilities with Technological Data

5.9 Definition of Strategic Objectives and their Alignment with Optimization
5.9 SWOT Analysis and Assessment of the Naval Environment
5.3 Development of Data-Driven Optimization Strategies
5.4 Resource and Budget Planning for Optimization
5.5 ​​Implementation of Key Performance Indicators (KPIs) Strategic
5.6 Change Management and Communication in Strategy Implementation
5.7 Monitoring and Evaluation of the Performance of Implemented Strategies
5.8 Adaptation and Continuous Improvement of Optimization Strategies
5.9 Case Studies: Successful Naval Optimization Strategies

6.9 Design of Optimized Workflows in Different Naval Areas
6.9 Integration of Technological Data into Workflows
6.3 Implementation of Systems and Software for Automation
6.4 Real-Time Data Analysis for Decision Making
6.5 Information Management and Communication in Optimized Workflows
6.6 Cost-Benefit Analysis of Optimization
6.7 Risk Assessment and Mitigation Measures in Optimized Workflows
6.8 Monitoring and Control of the Efficiency of Optimized Workflows
6.9 Case Studies: Optimized Workflows and Integrated Data in Practice

7.9 Fundamentals of Decision-Making in Data
7.9 Data Collection and Analysis for Naval Decision Making
7.3 Use of Data Visualization Tools for Decision Making
7.4 Predictive Modeling for Scenario Simulation
7.5 Application of Artificial Intelligence in Decision Making
7.6 Risk Assessment and Decision Making in Uncertain Environments
7.7 Ethics and Responsibility in Data-Driven Decision Making
7.8 Legal and Regulatory Framework for Data Use in the Naval Sector
7.9 Case Studies: Decision Making with Technological Data in the Navy

8.9 Identification of Needs and Requirements for Implementation
8.9 Selection of Appropriate Technologies and Tools
8.3 Planning and Management of Implementation Projects
8.4 Development and Integration of Systems and Software
8.5 Change Management and Staff Training
8.6 Testing and Validation of Implemented Solutions
8.7 Implementation of Security and Protection Measures Data
8.8 Monitoring and Evaluation of Solution Performance
8.9 Case Studies: Successful Implementation of Solutions with Data Technology

9.9 Introduction to Predictive Modeling: Concepts and Applications
9.9 Predictive Modeling Techniques: Regression, Classification, and Time Series
9.3 Data Collection and Preparation for Modeling
9.4 Selection and Validation of Predictive Models
9.5 Implementation of Predictive Models in Naval Operations
9.6 Use of Predictive Models for Strategic Decision Making
9.7 Predictive Modeling for Risk Management and Planning
9.8 Monitoring and Updating Predictive Models
9.9 Ethics and Responsibility in the Use of Predictive Models
9.90 Case Studies: Predictive Modeling in Naval Environments