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Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- MATLAB environment and typical workflows
- Basic scripting and data visualization techniques
- Loading and manipulating geophysical datasets
Foundations of Object-Oriented Programming
- Core OOP concepts: classes, objects, and encapsulation
- Advantages of OOP in scientific computing
- MATLAB syntax for class definitions
Creating and Managing Classes in MATLAB
- Defining properties and methods
- Public, private, and protected access levels
- Constructors and creating object instances
Inheritance and Class Hierarchies
- Subclassing and overriding methods
- Abstract classes and interfaces
- Polymorphism in MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data
- Implementing data preprocessing and filtering methods
- Integrating visualization and plotting functions within classes
Case Study: Geophysical Modeling Workflow
- Building a modular OOP framework for modeling tasks
- Integrating modeling algorithms as class methods
- Exporting and documenting analysis results
Best Practices and Optimization
- Enhancing code readability and maintainability
- Performance tips for handling large geophysical datasets
- Using version control and collaborative development practices
Summary and Next Steps
Requirements
- A foundational grasp of programming concepts
- Knowledge of basic geophysics principles
- Basic experience with MATLAB or another scientific computing platform
Target Audience
- Entry-level MATLAB users working in geophysics
- Geophysics researchers moving towards 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