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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)
Practical exercises that were relevant to our core business. Having a trainer with a scientific background was a true asset as we were able to engage in in-depth discussions, not just about programming but also about science and how to integrate the two. The Jupyter notebook format lab sessions 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
The availability, attentiveness, and interpersonal skills of Guillaume. He was able to adapt to our quite specific needs.
Ugo Imbert - Michelin
Course - Basic MATLAB Programming
Machine Translated
Progressive presentation 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.
