Dynamic Analysis Using Matlab Training Course

Developing core competencies in MATLAB programming unlocks a flexible platform for technical computing and numerical analysis. This course examines key concepts including variable handling, array operations, matrix algebra, control flow, custom function creation, and script development. It guides learners through practical workflows such as data visualization, plotting techniques, and algorithm development, which are vital for engineering simulations and mathematical modeling projects.

This four-day course covers the fundamentals of image processing using Matlab. You will practice modifying and enhancing images, as well as extracting patterns from them. You will also learn how to create 2D filters and apply them to images.

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

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

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

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

Upon completing this training, participants will be capable of:

• Constructing a deep learning model
• Automating the data labeling process
• Utilizing models from Caffe and TensorFlow-Keras
• Training data using multiple GPUs, the cloud, or clusters

Audience

• Developers
• Engineers
• Domain experts

Format of the course

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

MATLAB brings together computation, visualization, and programming within an intuitive environment. It provides the Financial Toolbox, equipped with the necessary features to conduct mathematical and statistical analysis of financial data, while presenting the results through high-quality, presentation-ready graphics.

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

Upon completing this training, participants will have a comprehensive understanding of the powerful features within MATLAB's Financial Toolbox and will have acquired the practical skills needed 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

Object-Oriented Programming with MATLAB for Geophysics applies MATLAB’s object-oriented programming (OOP) features to build structured, reusable, and maintainable code for geophysical data analysis and modeling.

This instructor-led live training, available both online and 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:

• Grasp 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 lectures and discussions.
• Ample exercises and practical sessions.
• 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 two-day programme offers a thorough introduction to the MATLAB® technical computing environment. Designed for beginners and those seeking a refresher, the course does not assume any prior programming experience or familiarity with MATLAB. Throughout the training, key themes such as data analysis, visualization, modelling, and programming are examined in depth.

This training teaches the fundamentals of the Systems Modeling Language (SysML) and its application via MagicDraw/Cameo software, alongside core MBSE simulation techniques and best practices. It also equips professionals with knowledge of architectural simulation, an introduction to the Simulation Toolkit plugin, the simulation of various diagram types, and methods for linking diagram simulations to automate architecture.​

This instructor-led, live training in Nigeria (online or onsite) 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 gain insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

Enhance your automotive engineering capabilities through this advanced Simulink training, which integrates theoretical models of multidomain dynamic systems with practical examples using Simulink/Stateflow verifiers, Reactis tools, and Matelo applications. Designed 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. You will learn to build reliable, high-performance automotive control models and accelerate vehicle development cycles.

This course delivers comprehensive material on MATLAB, highlighting its role as a robust simulation tool for communications. The primary objective is to present MATLAB not merely as a general programming language, but to emphasize its immense power as a simulation environment. The examples provided to illustrate the course content go beyond simple command usage; they often model real-world engineering problems.

Purpose: This training is tailored for Software Engineers specializing in Model-Based Design (MBD) technology. The curriculum encompasses modelling techniques for Automotive systems, Automotive standards, Auto-code generation, and Model test harness construction and verification. Target Audience: Software developers working for automotive suppliers.