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Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- Navigating the MATLAB environment and typical workflows.
- Essential scripting techniques and data visualization.
- Techniques for loading and manipulating geophysical datasets.
Core Concepts of Object-Oriented Programming
- Key OOP elements: classes, objects, and encapsulation.
- The advantages of adopting OOP in scientific computing.
- Using MATLAB syntax to define class structures.
Building and Managing Classes in MATLAB
- Defining class properties and methods.
- Managing access levels: public, private, and protected.
- Constructors and the process of object instantiation.
Inheritance and Class Hierarchies
- Creating subclasses and overriding methods.
- Working with abstract classes and interfaces.
- Understanding polymorphism in the context of MATLAB OOP.
Applying OOP to Geophysical Data Analysis
- Designing specialized classes for seismic, gravity, and magnetic data.
- Implementing data preprocessing and filtering methods.
- Incorporating visualization and plotting functions within class definitions.
Case Study: Geophysical Modeling Workflow
- Constructing a modular OOP framework for complex modeling tasks.
- Integrating modeling algorithms as class-specific methods.
- Exporting and documenting analysis outcomes effectively.
Best Practices and Optimization
- Strategies for improving code readability and ease of maintenance.
- Optimizing performance for large-scale geophysical datasets.
- Implementing version control and collaborative development practices.
Conclusion and Future Directions
Requirements
- A solid foundation in basic programming concepts.
- Working knowledge of fundamental geophysics principles.
- Prior exposure to MATLAB or similar scientific computing tools.
Target Audience
- New MATLAB users working within the geophysics field.
- Geophysics researchers transitioning to object-oriented programming paradigms.
- Professionals aiming to refine and structure their 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
