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Course Outline
Introduction to MATLAB for Geophysics
- MATLAB environment and workflow
- Basic scripting and data visualization
- Loading and working with geophysical datasets
Foundations of Object-Oriented Programming
- OOP concepts: classes, objects, and encapsulation
- Benefits of OOP in scientific computing
- MATLAB syntax for defining classes
Creating and Managing Classes in MATLAB
- Defining properties and methods
- Public, private, and protected access
- Constructors and object instantiation
Inheritance and Class Hierarchies
- Subclassing and method overriding
- Abstract classes and interfaces
- Polymorphism in MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data
- Data preprocessing and filtering methods
- Visualization and plotting functions within classes
Case Study: Geophysical Modeling Workflow
- Building a modular OOP framework for modeling
- Integrating modeling algorithms as class methods
- Exporting and documenting analysis results
Best Practices and Optimization
- Improving code readability and maintainability
- Performance tips for large geophysical datasets
- Version control and collaborative development
Summary and Next Steps
Requirements
- Basic understanding of programming concepts
- Familiarity with fundamental geophysics principles
- Some exposure to MATLAB or another scientific computing environment
Audience
- Beginner MATLAB users working in geophysics
- Geophysics researchers transitioning to object-oriented programming
- Professionals seeking to organize geophysical data processing workflows
35 Hours
Testimonials (5)
Concrete, hands-on exercises that were relevant to our core business. Having a trainer with a scientific background was a real asset because we could delve into deeper discussions, not just about programming but also about science and how to combine the two. The practical sessions in Jupyter Notebook format were interesting.
Victor - Vermon
Course - Python for Matlab Users
Machine Translated
Hands on building of the code from scratch.
Igor - Draka Comteq Fibre B.V.
Course - Introduction to Image Processing using Matlab
Guillaume's availability, attentiveness, and interpersonal skills. He was able to adapt to our quite specific needs.
Ugo Imbert - Michelin
Course - Basic MATLAB Programming
Machine Translated
Gradual introduction and application of methods
Aurelien Briffaz - CIRAD
Course - Introduction au Machine Learning avec MATLAB
Machine Translated
Trainer took the initiative to cover additional content outside our course materials to improve our learning.
