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Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- Navigating the MATLAB environment and establishing efficient workflows
- Fundamental scripting and data visualization techniques
- Procedures for loading and processing geophysical datasets
Foundations of Object-Oriented Programming
- Key OOP concepts including classes, objects, and encapsulation
- The advantages of adopting OOP in scientific computing contexts
- MATLAB-specific syntax for defining class structures
Creating and Managing Classes in MATLAB
- Specifying properties and defining methods
- Managing access levels: public, private, and protected
- Utilizing constructors for effective object instantiation
Inheritance and Class Hierarchies
- Techniques for subclassing and overriding methods
- Implementing abstract classes and interfaces
- Applying polymorphism within MATLAB OOP frameworks
Applying OOP to Geophysical Data Analysis
- Designing specialized classes for seismic, gravity, and magnetic data
- Implementing data preprocessing and filtering methodologies
- Integrating visualization and plotting functions directly into classes
Case Study: Geophysical Modeling Workflow
- Constructing a modular OOP framework for comprehensive modeling
- Embedding modeling algorithms as dedicated class methods
- Procedures for exporting results and documenting analysis findings
Best Practices and Optimization
- Strategies for enhancing code readability and long-term maintainability
- Performance optimization tips for handling large geophysical datasets
- Implementing version control and collaborative development practices
Summary and Next Steps
Requirements
- A foundational understanding of general programming concepts.
- Familiarity with basic principles of geophysics.
- Initial exposure to MATLAB or a comparable scientific computing platform.
Target Audience
- Newly onboarded MATLAB users specializing in geophysics.
- Geophysics researchers transitioning into object-oriented programming paradigms.
- Professionals looking to streamline and 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
