Introduction to Image Processing using Matlab Training Course

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 operations, matrix algebra, control flow structures, custom function development, and script creation. Participants will navigate practical workflows involving data visualization, plotting techniques, and algorithm development, which are critical for engineering simulations and mathematical modelling projects.

This three-day course 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. 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
• Working with 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 instructor-led live training in Malaysia (online or onsite) is designed for beginner-level developers and engineers seeking to learn how to apply numerical simulation to dynamic problems using Matlab.

By the end 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.

MATLAB seamlessly integrates computation, visualization, and programming within an intuitive environment. It features the Financial Toolbox, which provides the necessary tools to conduct mathematical and statistical analysis on financial data, while presenting results through high-quality, presentation-ready graphics.

This instructor-led training introduces participants to the application of MATLAB in the finance sector. Through extensive hands-on exercises and in-lab practice, learners will explore data analysis, visualization, modeling, and programming techniques.

Upon completion of this training, participants will possess a comprehensive understanding of MATLAB’s Financial Toolbox features and will have acquired sufficient practical experience to immediately apply these skills to solve real-world financial challenges.

Audience

• Financial professionals who already have experience using MATLAB.

Course Format

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

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

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:

• 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 modelling and analysis workflows.
• Enhance code reusability, scalability, and clarity for geoscience projects.

Format of the Course

• Interactive lecture and discussion.
• Ample 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 two-day course delivers a thorough introduction to the MATLAB® technical computing environment. Designed for beginner users and those seeking a refresher, the course assumes no prior programming experience or familiarity with MATLAB. Throughout the program, key themes such as data analysis, visualization, modeling, and programming are explored in depth.

The course is structured to teach the fundamentals of the Systems Modeling Language (SysML), its application via the MagicDraw/Cameo software, core Model-Based Systems Engineering (MBSE) simulation techniques, and industry best practices. This training also equips professionals with a background in architectural simulation, introduces the Simulation Toolkit plugin, covers the simulation of various diagram types, and demonstrates how to link diagram simulations to automate architectural processes.​

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

Elevate 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. Tailored for automotive systems engineers, control specialists, and MATLAB/Simulink professionals aiming to master complex automotive modeling. Gain hands-on expertise in solver selection, subsystem simulation parameters, and system verification to build reliable, high-performance automotive control models and accelerate 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 extremely capable simulation environment. The examples used to illustrate the course material go beyond simple command usage, often representing real-world problems.

Purpose: This training is designed for software engineers engaged with Model-Based Design (MBD) technology. The curriculum covers modelling techniques for automotive systems, relevant automotive standards, automated code generation, and the creation and verification of model test harnesses. Target Audience: Software developers working for automotive suppliers.