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Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- Overview of the MATLAB environment and workflow
- Basic scripting and data visualization
- Loading and processing geophysical datasets
Foundations of Object-Oriented Programming
- Core OOP concepts: classes, objects, and encapsulation
- Advantages of OOP in scientific computing
- MATLAB syntax for class definition
Creating and Managing Classes in MATLAB
- Defining properties and methods
- Managing 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 techniques
- Visualization and plotting functions within classes
Case Study: Geophysical Modeling Workflow
- Developing a modular OOP framework for modeling
- Integrating modeling algorithms as class methods
- Exporting and documenting analysis results
Best Practices and Optimization
- Enhancing code readability and maintainability
- Performance optimization for large geophysical datasets
- Version control and collaborative development
Summary and Next Steps
Requirements
- Fundamental knowledge of programming concepts
- Basic familiarity with geophysical principles
- Initial experience with MATLAB or a similar scientific computing platform
Target Audience
- Entry-level MATLAB users working in the field of geophysics
- Geophysics researchers transitioning into object-oriented programming
- Professionals looking to streamline geophysical data processing workflows
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