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 Duration 35 hours

Course Outline

Introduction to MATLAB in Geophysical Contexts

  • Understanding the MATLAB environment and typical workflows
  • Basics of scripting and data visualization
  • Techniques for loading and manipulating geophysical datasets

Core Principles of Object-Oriented Programming

  • Key OOP concepts: classes, objects, and encapsulation
  • The advantages of OOP in scientific computing environments
  • Syntax in MATLAB for defining class structures

Developing and Managing Classes in MATLAB

  • Defining specific properties and methods
  • Managing access levels: public, private, and protected
  • Using constructors for object instantiation

Inheritance and Building Class Hierarchies

  • Techniques for subclassing and overriding methods
  • Utilizing abstract classes and interfaces
  • Implementing polymorphism within MATLAB OOP

Practical Application of OOP in Geophysical Data Analysis

  • Designing classes for seismic, gravity, and magnetic data
  • Implementing data preprocessing and filtering methods
  • Incorporating visualization and plotting functions into class designs

Case Study: Implementing a Geophysical Modeling Workflow

  • Constructing a modular OOP framework for modeling tasks
  • Integrating modeling algorithms as distinct class methods
  • Exporting results and documenting the analysis process

Best Practices for Code Optimization

  • Strategies to enhance code readability and long-term maintainability
  • Performance optimization tips for large-scale geophysical datasets
  • Managing version control and fostering collaborative development

Concluding Summary and Recommendations for Next Steps

Requirements

  • Foundational knowledge of general programming concepts
  • Basic familiarity with key geophysical principles
  • Initial experience with MATLAB or similar scientific computing tools

Target Audience

  • Newcomers to MATLAB who work in the geophysics field
  • Geophysics researchers looking to adopt object-oriented programming
  • Professionals aiming to streamline geophysical data processing workflows

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