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Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- Overview of the MATLAB environment and workflow
- Basics of scripting and data visualization
- Techniques for loading and managing geophysical datasets
Foundations of Object-Oriented Programming
- Core OOP concepts: classes, objects, and encapsulation
- Advantages of OOP in scientific computing
- Specific MATLAB syntax for defining classes
Creating and Managing Classes in MATLAB
- Defining class properties and methods
- Understanding public, private, and protected access levels
- Using constructors and instantiating objects
Inheritance and Class Hierarchies
- Subclassing and overriding methods
- Utilizing abstract classes and interfaces
- Applying polymorphism in MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Designing specific classes for seismic, gravity, and magnetic data
- Implementing data preprocessing and filtering methods
- Integrating visualization and plotting functions within class structures
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
- Strategies for enhancing code readability and maintainability
- Performance optimization tips for large geophysical datasets
- Managing version control and collaborative development
Summary and Next Steps
Requirements
- Fundamental knowledge of programming concepts
- Basic familiarity with core geophysics principles
- Prior exposure to MATLAB or similar scientific computing environments
Target Audience
- Beginner MATLAB users specializing in geophysics
- Geophysics researchers looking to transition to object-oriented programming
- Professionals aiming 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