MATLAB Training in Maia

Object-Oriented Programming with MATLAB for Geophysics applies MATLAB’s OOP capabilities to develop structured, reusable, and maintainable code for geophysical data analysis and modeling.

This instructor-led live training, available online or onsite, is designed for beginner-level MATLAB users in geophysics who want to learn how to design and implement object-oriented solutions for geophysical applications.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of object-oriented programming in MATLAB.
• Create and manipulate classes, properties, and methods for geophysical data handling.
• Apply OOP techniques to structure geophysical modeling and analysis workflows.
• Improve code reusability, scalability, and clarity for geoscience projects.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led live training in Maia (online or on-site) is aimed at Matlab users who wish to explore or transition to Python for data analytics and visualization.

By the end of this training, participants will be able to:

• Install and configure a Python development environment.
• Understand the differences and similarities between Matlab and Python syntax.
• Use Python to derive insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

This four-day course lays the groundwork for image processing using Matlab. Participants will learn how to modify and enhance images, as well as extract patterns from them. Additionally, you will discover how to design 2D filters and apply them effectively to images.

Throughout the analysis process, practical examples and exercises illustrate the application of relevant Matlab and Image Processing Toolbox features.

MATLAB is a numerical computing environment and programming language developed by MathWorks.

This three-day course offers a comprehensive introduction to the MATLAB technical computing environment. Designed for beginners and those seeking a refresher, it assumes no prior programming experience or familiarity with MATLAB. Throughout the course, key themes such as data analysis, visualization, modeling, and programming are explored. Key topics covered include:

• Navigating the MATLAB user interface
• Entering commands and creating variables
• Analyzing vectors and matrices
• Visualizing vector and matrix data
• Handling data files
• Managing data types
• Automating commands via scripts
• Developing programs with logic and flow control
• Writing functions

During this instructor-led live training, participants will discover how to utilize Matlab to design, construct, and visualize a convolutional neural network specifically for image recognition.

Upon completion of this course, participants will be able to:

• Construct a deep learning model
• Automate the data labeling process
• Utilize models from Caffe and TensorFlow-Keras
• Train data employing multiple GPUs, cloud resources, or clusters

Audience

• Developers
• Engineers
• Domain experts

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Designed for a two-day duration, this course offers a thorough introduction to the MATLAB® technical computing environment. It is tailored for beginners or individuals seeking a refresher, with no prior programming background or MATLAB knowledge required. Key themes such as data analysis, visualization, modeling, and programming are covered comprehensively throughout the training.

This course aims to teach the core principles of the Systems Modeling Language (SysML), its application using MagicDraw/Cameo software, fundamental MBSE simulation techniques, and industry best practices. It is also designed to equip professionals with the background knowledge needed for architectural simulation, introduce the Simulation Toolkit plugin, cover the simulation of various diagram types, and demonstrate how to link diagram simulations to automate architecture.​

This course provides comprehensive material on using MATLAB as a robust simulation tool for communications. The primary objective is to introduce MATLAB not merely as a general-purpose programming language, but to emphasize its powerful capabilities as a simulation environment. The examples used to illustrate course material go beyond the direct application of MATLAB commands, often representing real-world engineering problems.