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Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- The MATLAB environment and typical workflows
- Basic scripting techniques and data visualization
- Importing and manipulating geophysical datasets
Foundations of Object-Oriented Programming
- Key OOP concepts: classes, objects, and encapsulation
- The 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 levels
- Using constructors and instantiating objects
Inheritance and Class Hierarchies
- Subclassing and overriding methods
- Utilizing abstract classes and interfaces
- Implementing polymorphism in MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data
- Implementing data preprocessing and filtering methods
- Incorporating visualization and plotting functions within classes
Case Study: Geophysical Modeling Workflow
- Constructing 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 long-term maintainability
- Performance optimization tips for large geophysical datasets
- Version control strategies and collaborative development
Summary and Next Steps
Requirements
- A solid grasp of basic programming concepts
- Familiarity with fundamental principles of geophysics
- Initial exposure to MATLAB or other scientific computing environments
Target Audience
- Beginner MATLAB users specializing in geophysics
- Geophysics researchers looking to transition into object-oriented programming
- Professionals aiming to better organize 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
