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Course Outline
Introduction to MATLAB for Geophysics
- MATLAB environment and workflow.
- Basic scripting and data visualization.
- Loading and working with geophysical datasets.
Foundations of Object-Oriented Programming
- OOP concepts: classes, objects, and encapsulation.
- Benefits of OOP in scientific computing.
- MATLAB syntax for defining classes.
Creating and Managing Classes in MATLAB
- Defining properties and methods.
- Public, private, and protected access.
- Constructors and object instantiation.
Inheritance and Class Hierarchies
- Subclassing and method overriding.
- Abstract classes and interfaces.
- Polymorphism in MATLAB OOP.
Applying OOP to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data.
- Data preprocessing and filtering methods.
- Visualization and plotting functions within classes.
Case Study: Geophysical Modeling Workflow
- Building a modular OOP framework for modeling.
- Integrating modeling algorithms as class methods.
- Exporting and documenting analysis results.
Best Practices and Optimization
- Improving code readability and maintainability.
- Performance tips for large geophysical datasets.
- Version control and collaborative development.
Summary and Next Steps
Requirements
- Basic understanding of programming concepts.
- Familiarity with fundamental geophysics principles.
- Some exposure to MATLAB or another scientific computing environment.
Audience
- Beginner MATLAB users working in geophysics.
- Geophysics researchers transitioning to object-oriented programming.
- Professionals seeking to organize geophysical data processing workflows.
35 Hours
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
