Dynamic Analysis Using Matlab Training Course

This four-day course establishes a solid foundation in image processing utilizing Matlab. You will practice techniques for modifying and enhancing images, as well as extracting meaningful patterns. Additionally, you will learn to construct 2D filters and apply them effectively to image data.

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

This three-day course offers a thorough introduction to the MATLAB technical computing environment. Designed for beginners and those seeking a refresher, no prior programming experience or MATLAB knowledge is required. Throughout the course, we explore key themes such as data analysis, visualization, modeling, and programming. Key topics covered include:

• Navigating the MATLAB user interface
• Entering commands and creating variables
• Analyzing vectors and matrices
• Visualizing vector and matrix data
• Managing data files
• Working with different data types
• Automating tasks with 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

MATLAB combines computation, visualization, and programming within an intuitive environment. It features the Financial Toolbox, which provides essential tools for conducting mathematical and statistical analyses on financial data, alongside the ability to present results through high-quality graphics.

This instructor-led training serves as an introduction to MATLAB for finance. Through hands-on exercises and extensive in-lab practice, participants will explore data analysis, visualization, modeling, and programming.

Upon completion, participants will have a comprehensive grasp of the powerful capabilities within MATLAB's Financial Toolbox and will have acquired the practical skills needed to immediately apply them to real-world challenges.

Audience

• Financial professionals who already have experience using MATLAB

Course Format

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

Object-Oriented Programming with MATLAB for Geophysics involves applying 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) targets 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 intensive two-day program offers a thorough introduction to the MATLAB® technical computing environment. Designed for beginners and those seeking a refresher, the course assumes no previous programming background or familiarity with MATLAB. Throughout the sessions, key themes such as data analysis, visualization, modeling, and programming are thoroughly explored.

The course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application through the MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and best practices in MBSE. This training is also designed to provide professionals with a background behind architectural simulation, an introduction to the Simulation Toolkit plugin, the simulation of multiple diagram types, and how to tie diagram simulations together to automate the architecture.​

This instructor-led, live training in Mexico (online or on-site) is designed for 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 extract insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

This course offers comprehensive material on using MATLAB as a powerful simulation tool for communications. The primary goal is to introduce MATLAB not merely as a general-purpose programming language, but to emphasize the critical role of its advanced capabilities in simulation. The examples provided to illustrate the course content go beyond direct command usage, often representing solutions to real-world problems.