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Duration 35 hours
Course Outline
Introduction to MATLAB in Geophysics
- The MATLAB environment and typical workflows
- Essential scripting and data visualization techniques
- Importing and handling geophysical datasets
Basics of Object-Oriented Programming
- Core OOP concepts: classes, objects, and encapsulation
- The advantages of OOP in scientific computing
- Syntax for defining classes in MATLAB
Developing and Managing MATLAB Classes
- Setting up properties and methods
- Understanding public, private, and protected access levels
- Using constructors to instantiate objects
Inheritance and Class Structures
- Creating subclasses and overriding methods
- Utilizing abstract classes and interfaces
- Applying polymorphism within MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data
- Implementing data preprocessing and filtering methods
- Integrating visualization and plotting functions into classes
Case Study: Geophysical Modeling Workflow
- Constructing a modular OOP framework for modeling tasks
- Incorporating modeling algorithms as class methods
- Exporting and documenting analytical results
Best Practices and Optimization
- Enhancing code readability and long-term maintainability
- Optimizing performance for large-scale geophysical datasets
- Implementing version control and collaborative development practices
Conclusion and Future Steps
Requirements
- A solid grasp of basic programming concepts
- Knowledge of fundamental geophysical principles
- Initial experience with MATLAB or another scientific computing platform
Target Audience
- New MATLAB users engaged in geophysics
- Geophysical researchers aiming to adopt object-oriented programming
- Professionals looking to structure 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
