Introduction to Image Processing using Matlab Training Course

Developing core competencies in MATLAB programming unlocks a robust platform for technical computing and numerical analysis. The course explores essential concepts including variable management, array operations, matrix algebra, control flow, custom function creation, and script development. Participants are guided through practical workflows such as data visualization, plotting techniques, and algorithm development, which are critical for engineering simulations and mathematical modeling projects.

This three-day program offers a thorough introduction to the MATLAB technical computing environment. It is designed for beginners as well as those seeking a refresher, assuming 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
• Entering commands and creating variables
• Analyzing vectors and matrices
• Visualizing vector and matrix data
• Working with data files
• Managing data types
• Automating commands using scripts
• Developing programs with logic and flow control
• Writing 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 Romania (online or onsite) is designed for developers or engineers at the beginner level who wish to learn how to apply numerical simulation to dynamic problems using Matlab.

Upon completing this training, participants will be able to:

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

MATLAB seamlessly combines computation, visualization, and programming within a user-friendly environment. It features the Financial Toolbox, providing essential tools for conducting mathematical and statistical analyses on financial data, as well as presenting results through high-quality graphics.

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

Upon completion of this training, participants will possess a deep understanding of the powerful capabilities within MATLAB's Financial Toolbox and will have acquired the practical skills necessary to immediately apply these tools to solve real-world financial challenges.

Audience

• Financial professionals who already have experience working with MATLAB

Course Format

• A blend of lectures and discussions, with a strong emphasis on hands-on practice

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

Upon completing this training, participants will be able to:

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

Course Format

• 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 two-day course offers a comprehensive introduction to the MATLAB® technical computing environment. Designed for beginner users and those seeking a review, 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.

This course is structured to teach the core principles of the Systems Modeling Language (SysML), its implementation via MagicDraw/Cameo software, fundamental MBSE simulation methodologies, and industry best practices. Furthermore, the training aims to equip professionals with a solid understanding of architectural simulation, introduce the Simulation Toolkit plugin, demonstrate the simulation of various diagram types, and illustrate how to link diagram simulations to automate architectural processes.​

This instructor-led, live training in Romania (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 extract insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

Enhance your automotive engineering expertise through this advanced Simulink training program, which integrates theoretical models of multidomain dynamic systems with practical applications 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. You will acquire hands-on skills in solver selection, subsystem simulation parameters, and system verification to construct reliable, high-performance automotive control models and expedite vehicle development cycles.

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

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