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Duration 35 hours
Course Outline
Introduction to MATLAB in Geophysics
- MATLAB workspace and operational workflow
- Essential scripting and data visualization techniques
- Importing and processing geophysical datasets
Core Concepts of Object-Oriented Programming
- Key OOP elements: classes, objects, and encapsulation
- Advantages of OOP in scientific computing environments
- Defining classes using MATLAB syntax
Building and Managing MATLAB Classes
- Defining class properties and methods
- Managing access levels: public, private, and protected
- Constructors and creating object instances
Inheritance and Class Structures
- Creating subclasses and overriding methods
- Utilizing abstract classes and interfaces
- Implementing polymorphism in MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Developing classes for seismic, gravity, and magnetic data
- Implementing data preprocessing and filtering routines
- Integrating visualization and plotting functions within classes
Case Study: Geophysical Modeling Workflow
- Constructing a modular OOP framework for modeling tasks
- Incorporating modeling algorithms as class methods
- Exporting and documenting analytical outcomes
Best Practices and Performance Optimization
- Enhancing code readability and long-term maintainability
- Optimizing performance for large-scale geophysical datasets
- Managing version control and collaborative development
Conclusion and Future Directions
Requirements
- Foundational knowledge of programming logic
- Working familiarity with core geophysical principles
- Initial experience with MATLAB or similar scientific computing platforms
Target Audience
- Entry-level MATLAB users in the geophysics field
- Geophysical researchers adopting object-oriented approaches
- Professionals aiming to streamline geophysical data processing pipelines
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
