Introduction to Image Processing using Matlab Training Course

Establishing a strong foundation in MATLAB programming unlocks the potential of this versatile platform for technical computing and numerical analysis. This course explores core concepts such as variable handling, array operations, matrix algebra, control flow, custom function creation, and script development. It guides participants through practical workflows, including data visualization, plotting techniques, and algorithm development, which are essential for engineering simulations and mathematical modeling projects.

This three-day program 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 sessions, key themes such as data analysis, visualization, modeling, and programming are explored. Key topics covered include:

• Navigating the MATLAB user interface
• Executing commands and creating variables
• Analyzing vectors and matrices
• Visualizing data from vectors and matrices
• Manipulating data files
• Managing data types
• Automating tasks via scripts
• Developing programs with logic and flow control
• Creating functions

In this guided, hands-on training session, participants will discover how to utilize Matlab to design, construct, and visualize convolutional neural networks for image recognition tasks.

Upon completing this training, participants will be capable of:

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

Audience

• Developers
• Engineers
• Domain experts

Course Format

• A blend of lectures, discussions, exercises, and extensive practical application

This instructor-led, live training in Italy (online or onsite) is designed for beginner-level developers or engineers who wish to learn how to apply numerical simulation for dynamic problems using Matlab.

Upon completion of this training, participants will be able to:

• Grasp the core principles of dynamic analysis.
• Utilize Matlab to execute analytical and numerical solutions.
• Derive motion equations through various methodologies.

MATLAB combines computation, visualization, and programming in a user-friendly environment. It provides the Financial Toolbox, which includes the necessary features to conduct mathematical and statistical analysis of financial data, followed by the display of results using presentation-quality graphics.

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

By the end of this training, participants will have a comprehensive understanding of the powerful features within MATLAB's Financial Toolbox and will have gained the necessary practice to immediately apply them to solve real-world problems.

Audience

• Financial professionals with prior experience using MATLAB

Course Format

• Part lecture, part discussion, with heavy emphasis on hands-on practice

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

This instructor-led, live training (available 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.
• Lots of 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 overview of the MATLAB® technical computing environment. Designed for beginners as well as those seeking a refresher, the course assumes no previous programming experience or familiarity with MATLAB. Key topics such as data analysis, visualization, modeling, and programming are covered extensively throughout the session.

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

This instructor-led live training in Italy (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 your automotive engineering expertise with this advanced Simulink training course. This program integrates theoretical models of multidomain dynamic systems with practical applications, utilizing Simulink/Stateflow verifiers, Reactis tools, and Matelo applications. Tailored for automotive systems engineers, control specialists, and MATLAB/Simulink professionals, the course focuses on mastering complex automotive modeling. Participants will gain hands-on proficiency in solver selection, subsystem simulation parameters, and system verification, enabling them to build reliable, high-performance automotive control models and significantly accelerate vehicle development cycles.

This course provides comprehensive material on utilizing MATLAB as a robust simulation tool for communications. The primary objective is to introduce MATLAB not merely as a general programming language, but to emphasize its powerful capabilities for simulation. The examples used to illustrate the course material go beyond simple command usage; they often address real-world engineering problems.

Objective: This training is designed for Software Engineers engaged in Model-Based Design (MBD) technology. The curriculum encompasses modeling techniques for automotive systems, relevant automotive standards, automated code generation, and the construction and verification of test harnesses for models. Audience: Software developers working with automotive suppliers.