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Duration 35 hours
Course Outline
Introduction to MATLAB for Geophysics
- Overview of the MATLAB environment and workflow
- Essential scripting and data visualization
- Importing and processing geophysical datasets
Foundations of Object-Oriented Programming
- Core OOP concepts: classes, objects, and encapsulation
- Advantages of OOP in scientific computing
- Syntax for defining classes in MATLAB
Building and Managing Classes in MATLAB
- Establishing properties and methods
- Managing public, private, and protected access levels
- Using constructors and instantiating objects
Inheritance and Class Hierarchies
- Creating subclasses and overriding methods
- Utilizing abstract classes and interfaces
- Implementing polymorphism in MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data
- Methods for data preprocessing and filtering
- Incorporating visualization and plotting functions into classes
Case Study: Geophysical Modeling Workflow
- Constructing a modular OOP framework for modeling
- Integrating modeling algorithms as class methods
- Exporting and documenting analysis outcomes
Best Practices and Optimization
- Enhancing code readability and maintainability
- Performance strategies for large geophysical datasets
- Version control and collaborative development workflows
Summary and Next Steps
Requirements
- Foundational knowledge of programming principles
- Understanding of basic geophysical concepts
- Prior experience with MATLAB or another scientific computing platform
Target Audience
- Entry-level MATLAB users in the geophysics field
- Geophysics researchers adopting object-oriented programming methods
- Professionals aiming to streamline geophysical data processing workflows
Testimonials (2)
That I knew topics that I didn't know
Ernesto Alonso Ocana Valenzuela - Instituto Tecnologico Superior de Comalcalco
Course - Introduction to Image Processing using Matlab
Machine Translated
Many useful exercises, well explained