Introduction to Image Processing using Matlab Training Course

Developing essential MATLAB programming skills unlocks a powerful platform for technical computing and numerical analysis. This course explores fundamental concepts including variable management, array manipulation, matrix algebra, control flow structures, custom function creation, and script development. Participants will navigate practical workflows such as data visualization, plotting techniques, and algorithm design, which are crucial 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, 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. Covered topics include:

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

Through this instructor-led live training, participants will learn how to utilize 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 Serbia (online or onsite) is designed for beginner-level developers or engineers who wish to learn how to utilize numerical simulation for dynamic problems using Matlab.

Upon completion of this training, participants will be capable of:

• Grasping the core principles of dynamic analysis.
• Employing Matlab to execute both analytical and numerical solutions.
• Deriving motion equations through various methodologies.

MATLAB seamlessly integrates computation, visualization, and programming within an intuitive environment. It features the Financial Toolbox, which provides the essential tools for conducting mathematical and statistical analysis of financial data, alongside presentation-quality graphics for displaying results.

This instructor-led training serves as an introduction to using MATLAB in the financial sector. Participants will explore data analysis, visualization, modeling, and programming through hands-on exercises and extensive in-lab practice.

Upon completing this training, participants will possess a comprehensive understanding of the powerful features within MATLAB's Financial Toolbox. They will also have gained sufficient practical experience to immediately apply these skills to solve real-world problems.

Audience

• Financial professionals who already have experience with MATLAB

Course Format

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

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

Delivered as an instructor-led live training (available online or onsite), this course targets beginner-level MATLAB users in geophysics who aim to master the design and implementation of object-oriented solutions for geophysical applications.

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

• Grasp the core principles of object-oriented programming within MATLAB.
• Design and utilize classes, properties, and methods specifically for handling 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.

Customization Options

• To arrange customized training for this course, please contact us.

This two-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. Throughout the course, key themes such as data analysis, visualization, modeling, and programming are thoroughly explored.

The course is structured to teach the core principles of the Systems Modeling Language (SysML), its implementation via MagicDraw/Cameo software, fundamental MBSE simulation techniques, and industry best practices. This training also equips professionals with insights into architectural simulation, introduces the Simulation Toolkit plugin, covers the simulation of various diagram types, and demonstrates how to link diagram simulations to automate architecture workflows.​

This instructor-led live training in Serbia (online or onsite) is aimed at Matlab users who wish to explore and 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. The program integrates theoretical frameworks 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, this course is designed to master complex automotive modeling. Participants will acquire hands-on proficiency in solver selection, subsystem simulation parameters, and system verification, enabling the creation of reliable, high-performance automotive control models and the acceleration of vehicle development cycles.

This course offers comprehensive material on MATLAB as a robust simulation tool for communications. The primary goal is to introduce MATLAB not merely as a general programming language, but to emphasize its powerful capabilities as a simulation environment. The examples provided to illustrate the course material go beyond simple command usage, often representing real-world problems.

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