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Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- MATLAB environment and standard workflows
- Essential scripting and data visualisation
- 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 defining classes
Creating and Managing Classes in MATLAB
- Defining properties and methods
- Public, private, and protected access levels
- Constructors and object instantiation
Inheritance and Class Hierarchies
- Subclassing and method overriding
- Abstract classes and interfaces
- Polymorphism within MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data
- Data preprocessing and filtering methods
- Visualisation and plotting functions integrated within classes
Case Study: Geophysical Modelling Workflow
- Building a modular OOP framework for modelling
- Integrating modelling algorithms as class methods
- Exporting and documenting analysis results
Best Practices and Optimisation
- Enhancing code readability and maintainability
- Performance tips for large geophysical datasets
- Version control and collaborative development practices
Summary and Next Steps
Requirements
- A basic understanding of general programming concepts
- Familiarity with fundamental geophysics principles
- Prior exposure to MATLAB or another scientific computing environment
Target Audience
- Entry-level MATLAB users working within the geophysics field
- Geophysics researchers transitioning 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