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 in Geophysics
- Navigating the MATLAB environment and establishing workflows
- Essential scripting and data visualization techniques
- Importing and managing geophysical datasets
Foundations of Object-Oriented Programming
- Core OOP concepts: classes, objects, and encapsulation
- The advantages of OOP in scientific computing contexts
- Syntax for defining classes in MATLAB
Developing and Managing Classes in MATLAB
- Defining specific properties and methods
- Managing access levels: public, private, and protected
- Implementing constructors and instantiating objects
Inheritance and Class Structures
- Creating subclasses and overriding methods
- Utilizing abstract classes and interfaces
- Applying polymorphism in MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data
- Implementing data preprocessing and filtering logic
- Incorporating visualization and plotting functions within class definitions
Case Study: Geophysical Modeling Workflow
- Constructing a modular OOP framework for modeling tasks
- Integrating modeling algorithms as dedicated class methods
- Exporting data and documenting analysis outcomes
Best Practices and Optimization
- Strategies for enhancing code readability and long-term maintainability
- Optimizing performance for large-scale geophysical datasets
- Implementing version control for collaborative development
Conclusion and Future Learning Paths
Requirements
- A foundational grasp of general programming concepts.
- Working knowledge of core geophysical principles.
- Prior experience with MATLAB or other scientific computing tools.
Target Audience
- Entry-level MATLAB practitioners specializing in geophysics.
- Geophysical researchers adopting an object-oriented programming approach.
- Professionals aiming to structure and 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
