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Course Outline
Introduction to MATLAB for Geophysics
- MATLAB environment and workflow
- Basic scripting and data visualization
- Loading and working with geophysical datasets
Foundations of Object-Oriented Programming
- OOP concepts: classes, objects, and encapsulation
- Benefits of OOP in scientific computing
- MATLAB syntax for defining classes
Creating and Managing Classes in MATLAB
- Defining properties and methods
- Public, private, and protected access
- Constructors and object instantiation
Inheritance and Class Hierarchies
- Subclassing and method overriding
- Abstract classes and interfaces
- Polymorphism in MATLAB OOP
Applying OOP to Geophysical Data Analysis
- Designing classes for seismic, gravity, and magnetic data
- Data preprocessing and filtering methods
- Visualization and plotting functions within classes
Case Study: Geophysical Modeling Workflow
- Building a modular OOP framework for modeling
- Integrating modeling algorithms as class methods
- Exporting and documenting analysis results
Best Practices and Optimization
- Improving code readability and maintainability
- Performance tips for large geophysical datasets
- Version control and collaborative development
Summary and Next Steps
Requirements
- Basic understanding of programming concepts
- Familiarity with fundamental geophysics principles
- Some exposure to MATLAB or another scientific computing environment
Audience
- Beginner MATLAB users working in geophysics
- Geophysics researchers transitioning to object-oriented programming
- Professionals seeking to organize geophysical data processing workflows
35 Hours
Testimonials (1)
### Scope of Knowledge and Group Collaboration#### DescriptionThis course focuses on the effective use of knowledge and collaborative work within a group. Participants will learn about various aspects of managing knowledge and collaborating efficiently with team members. The course covers the following topics:- Identification and utilization of knowledge sources- Techniques for effective knowledge sharing- Methods of collaborative work- Tools for group project management- Strategies for conflict resolution within a team- Best practices for team communication#### Learning Objectives- Understand the importance of knowledge management in group projects- Acquire skills for effective collaboration and communication within a team- Learn to use various tools and techniques for managing group projects- Develop strategies for resolving conflicts and enhancing team productivity#### Course Outline##### Module 1: Introduction to Knowledge Management- Definition and importance of knowledge management- Types of knowledge: explicit and tacit- Knowledge management lifecycle##### Module 2: Effective Knowledge Sharing- Techniques for capturing and sharing knowledge- Tools for knowledge sharing (e.g., wikis, databases, forums)- Creating a knowledge-sharing culture##### Module 3: Collaborative Work Methods- Overview of collaborative work principles- Tools for collaborative work (e.g., Slack, Trello, Microsoft Teams)- Best practices for team collaboration##### Module 4: Group Project Management- Introduction to project management methodologies (e.g., Agile, Scrum)- Tools for group project management (e.g., Jira, Asana)- Planning and executing group projects##### Module 5: Conflict Resolution- Identifying sources of conflict within a team- Strategies for conflict resolution- Building a cohesive team environment##### Module 6: Team Communication- Effective communication techniques within a team- Tools for team communication (e.g., Zoom, Skype)- Best practices for maintaining open and transparent communication#### Assessment- Participation in group discussions and activities- Completion of a group project- Written assignments and quizzes- Final exam covering all course topics
Dariusz Szymanski - DKWOC
Course - Python for Matlab Users
Machine Translated
