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Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- The MATLAB environment and workflow.
- Basic scripting and data visualization techniques.
- Loading and processing geophysical datasets.
Foundations of Object-Oriented Programming
- Core object-oriented concepts: classes, objects, and encapsulation.
- Advantages of using object-oriented programming in scientific computing.
- MATLAB syntax for defining classes.
Creating and Managing Classes in MATLAB
- Defining properties and methods.
- Understanding public, private, and protected access levels.
- Using constructors and instantiating objects.
Inheritance and Class Hierarchies
- Creating subclasses and overriding methods.
- Implementing abstract classes and interfaces.
- Applying polymorphism in MATLAB object-oriented programming.
Applying Object-Oriented Programming to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data.
- Implementing data preprocessing and filtering methods.
- Integrating visualization and plotting functions within classes.
Case Study: Geophysical Modeling Workflow
- Constructing a modular object-oriented framework for modeling.
- Integrating modeling algorithms as class methods.
- Exporting and documenting analysis results.
Best Practices and Optimization
- Enhancing code readability and maintainability.
- Performance tips for handling large geophysical datasets.
- Version control and collaborative development practices.
Summary and Next Steps
Requirements
- Basic understanding of programming concepts.
- Familiarity with fundamental principles of geophysics.
- Prior exposure to MATLAB or another scientific computing environment.
Audience
- Beginner MATLAB users working in the field of 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
