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Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- Overview of the MATLAB environment and workflow
- Basics of scripting and data visualization
- Loading and manipulating geophysical datasets
Core Concepts of Object-Oriented Programming
- Key OOP ideas: classes, objects, and encapsulation
- Advantages of OOP in scientific computing
- Using MATLAB syntax to define classes
Building and Managing Classes in MATLAB
- Defining properties and methods
- Understanding public, private, and protected access
- Using constructors and creating objects
Inheritance and Class Structures
- Creating subclasses and overriding methods
- Working with abstract classes and interfaces
- Implementing polymorphism in MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data
- Implementing data preprocessing and filtering techniques
- Developing visualization and plotting functions within classes
Case Study: Geophysical Modeling Workflow
- Developing a modular OOP framework for modeling
- Integrating modeling algorithms as class methods
- Exporting and documenting analysis outcomes
Best Practices and Performance Optimization
- Enhancing code readability and maintainability
- Tips for optimizing performance with large geophysical datasets
- Managing version control and collaborative development
Summary and Future Steps
Requirements
- A foundational grasp of programming concepts
- Knowledge of basic geophysics principles
- Prior exposure to MATLAB or other scientific computing tools
Target Audience
- New MATLAB users working in the geophysics sector
- Geophysics researchers looking to transition into object-oriented programming
- Professionals aiming to structure and optimize 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
