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Duration 35 hours
Course Outline
Introduction to MATLAB in Geophysics
- Overview of the MATLAB environment and standard workflows
- Essential scripting and data visualization techniques
- Methods for loading and processing geophysical datasets
Core Principles of Object-Oriented Programming
- Key OOP concepts: classes, objects, and the principle of encapsulation
- The advantages of adopting OOP in scientific computing
- MATLAB-specific syntax for defining class structures
Building and Managing Classes in MATLAB
- Defining essential properties and associated methods
- Understanding public, private, and protected access levels
- Implementing constructors and instantiating objects
Inheritance and Class Hierarchies
- Techniques for subclassing and overriding methods
- Utilizing abstract classes and interfaces
- Applying polymorphism within MATLAB's OOP framework
Implementing OOP for Geophysical Data Analysis
- Designing classes specifically for seismic, gravity, and magnetic data
- Incorporating data preprocessing and filtering methods
- Integrating visualization and plotting functions within class structures
Case Study: Geophysical Modeling Workflow
- Developing a modular OOP framework for modeling tasks
- Integrating modeling algorithms as dedicated class methods
- Procedures for exporting and documenting analysis results
Best Practices and Performance Optimization
- Strategies for enhancing code readability and long-term maintainability
- Optimization tips for handling large-scale geophysical datasets
- Implementing version control and collaborative development practices
Summary and Future Directions
Requirements
- A foundational understanding of general programming concepts.
- Basic knowledge of fundamental geophysics principles.
- Prior exposure to MATLAB or alternative scientific computing platforms.
Intended Audience
- Novice MATLAB users specializing in geophysical research.
- Geophysics researchers aiming to transition into object-oriented programming paradigms.
- Professionals looking to streamline and structure their geophysical data processing pipelines.
Testimonials (2)
The many examples and the building of the code from start to finish.
Toon - Draka Comteq Fibre B.V.
Course - Introduction to Image Processing using Matlab
Many useful exercises, well explained
