MATLAB Training in Lille

Object-Oriented Programming with MATLAB for Geophysics focuses on 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 the geophysics field 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:

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

Format of the Course also allows for the evaluation of participants.

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• 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 Lille (online or onsite) targets beginner-level developers or engineers seeking to learn how to apply numerical simulation for dynamic problems using Matlab.

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

• Understand the fundamentals of dynamic analysis.
• Use Matlab to perform analytical and numerical solutions.
• Derive motion equations using different approaches.

This instructor-led live training in Lille (online or onsite) is designed for Matlab users who wish to explore or transition to Python for data analytics and visualization.

Upon completion 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.

Developing core competencies in MATLAB programming unlocks a powerful platform for technical computing and numerical analysis. This course explores essential concepts including variable handling, array and matrix operations, control structures, custom function development, and scripting. Participants will navigate practical workflows such as data visualization, plotting techniques, and algorithm design, which are critical for engineering simulations and mathematical modeling projects.

This four-day course provides the foundational knowledge of image processing using Matlab. You will practice how to change and enhance images and even extract patterns from the images. You will also learn how to build 2D filters and apply them on the images.

Examples and exercises demonstrate the use of appropriate Matlab and Image Processing Toolbox functionality throughout the analysis process.

This three-day program offers a thorough 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. The course explores key themes such as data analysis, visualization, modeling, and programming. Key topics covered include:

• Navigating the MATLAB user interface
• Inputting commands and creating variables
• Analyzing vectors and matrices
• Visualizing vector and matrix data
• Handling data files
• Managing data types
• Automating tasks with scripts
• Developing programs with logic and control flow
• 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 seamlessly integrates computation, visualization, and programming within a user-friendly environment. It provides the Financial Toolbox, featuring essential tools for conducting mathematical and statistical analysis of financial data, along with the ability to display results through high-quality graphics.

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

Upon completion, participants will possess a comprehensive understanding of the powerful features within MATLAB's Financial Toolbox and will have acquired the necessary practical experience to immediately apply them to solve real-world problems.

Audience

• Financial professionals who already have experience with MATLAB

Course Format

• A mix of lectures, discussions, and intensive hands-on practice

This two-day program offers a thorough introduction to the MATLAB® technical computing environment. It is designed for beginners and individuals seeking a refresher. No prior programming experience or familiarity with MATLAB is required. The course explores 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 Model-Based Systems Engineering (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, cover the simulation of various diagram types, and demonstrate how to link diagram simulations to automate the architecture.​

Enhance automotive engineering capabilities through this advanced Simulink training, which integrates theoretical models of multidomain dynamic systems with practical examples utilizing Simulink/Stateflow verifiers, Reactis tools, and Matelo applications. Tailored for automotive systems engineers, control specialists, and MATLAB/Simulink professionals aiming to master complex automotive modeling, this course provides hands-on expertise in solver selection, subsystem simulation parameters, and system verification. Participants will learn to build reliable, high-performance automotive control models, thereby accelerating vehicle development cycles.

This course provides comprehensive material on MATLAB as a powerful simulation tool for communications. The primary objective is to introduce MATLAB not merely as a general programming language, but to emphasize its role as an exceptionally capable simulation environment. The examples used to illustrate the course material go beyond direct command usage; they frequently represent real-world engineering problems.

Objective: This training is designed for software engineers utilizing Model-Based Design (MBD) technology. The course covers modeling techniques for automotive systems, automotive standards, automated code generation, and the creation and verification of model test harnesses. Audience: Software developers working for automotive suppliers.