MATLAB Training in Manaus

Object-Oriented Programming with MATLAB for Geophysics involves applying MATLAB’s OOP features to build structured, reusable, and maintainable code for geophysical data analysis and modeling.

This instructor-led, live training (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.

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

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

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Manaus (online or onsite) is aimed at Matlab users who wish to explore and 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 obtain insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

This four-day course establishes the fundamentals of image processing using Matlab. Participants will practice techniques for modifying and enhancing images, as well as extracting patterns from them. Additionally, you will learn how to design 2D filters and apply them to images.

Throughout the analysis process, examples and exercises illustrate the use of appropriate Matlab and Image Processing Toolbox functionalities.

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 knowledge of MATLAB. The curriculum explores key themes such as data analysis, visualization, modeling, and programming. Topics covered include:

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

In this instructor-led live training, participants will learn how to use MATLAB to design, build, and visualize a convolutional neural network for image recognition.

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

• Build a deep learning model
• Automate data labeling
• Work with models from Caffe and TensorFlow-Keras
• Train data using multiple GPUs, the cloud, or clusters

Audience

• Developers
• Engineers
• Domain experts

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This two-day course delivers a comprehensive introduction to the MATLAB® technical computing environment. Designed for beginners and those seeking a refresher, it assumes no prior programming experience or knowledge of MATLAB. Throughout the course, we explore key themes including data analysis, visualization, modeling, and programming.

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application using MagicDraw/Cameo software, basic MBSE simulation techniques, and MBSE best practices. The training also aims to provide professionals with a background in architectural simulation, introduce the Simulation Toolkit plugin, demonstrate how to simulate various diagram types, and show how to link diagram simulations to automate the architecture.​

This course offers comprehensive material on MATLAB as a powerful simulation tool for communications. The primary aim is to introduce MATLAB not merely as a general programming language, but to emphasize the role of its extremely powerful capabilities as a simulation tool. The examples provided to illustrate the course material go beyond simple usage of MATLAB commands; they often represent real-world problems.