Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- Overview of the MATLAB environment and typical workflows
- Basics in scripting and data visualization
- Techniques for loading and handling geophysical datasets
Foundations of Object-Oriented Programming
- Key OOP concepts: classes, objects, and encapsulation
- The advantages of adopting OOP in scientific computing
- MATLAB syntax for class definition
Creating and Managing Classes in MATLAB
- Defining specific properties and methods
- Understanding public, private, and protected access levels
- Using constructors and object instantiation
Inheritance and Class Hierarchies
- Techniques for subclassing and method overriding
- Utilization of abstract classes and interfaces
- Application of polymorphism in 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 within class structures
Case Study: Geophysical Modeling Workflow
- Constructing a modular OOP framework for modeling
- Embedding modeling algorithms as class methods
- Processes for exporting and documenting analysis outcomes
Best Practices and Optimization
- Strategies for enhancing code readability and maintenance
- Performance optimization tips for large geophysical datasets
- Implementing version control and collaborative development practices
Summary and Next Steps
Requirements
- A foundational grasp of general programming concepts
- Knowledge of basic geophysical principles
- Initial experience with MATLAB or other scientific computing platforms
Target Audience
- Newcomers to MATLAB working within the geophysics sector
- Geophysics researchers looking to adopt object-oriented programming paradigms
- Professionals aiming to streamline their 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
