Introduction to Image Processing using Matlab Training Course

This three-day program offers a comprehensive 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. Key themes of data analysis, visualization, modeling, and programming are woven throughout the curriculum. 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
• Managing data types
• Automating commands through scripts
• Developing programs with logic and flow control
• Writing functions

During 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, accessible online or onsite, is tailored for beginner-level developers and engineers seeking to master numerical simulation for dynamic problems using Matlab.

By the conclusion 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 combines computation, visualization, and programming within an intuitive environment. It features the Financial Toolbox, which provides essential tools for conducting mathematical and statistical analysis of financial data, alongside the capability to present results through high-quality graphics.

This instructor-led training introduces participants to the application of MATLAB in the financial sector. The curriculum covers data analysis, visualization, modeling, and programming through extensive hands-on exercises and in-lab practice sessions.

Upon completion of this training, participants will possess a comprehensive understanding of the robust features available in MATLAB's Financial Toolbox. They will also have acquired the practical skills necessary to immediately apply these tools to resolve real-world financial challenges.

Audience

• Financial professionals who already have experience using MATLAB

Course Format

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

This course explores the application of MATLAB's Object-Oriented Programming (OOP) capabilities to develop structured, reusable, and maintainable code tailored for geophysical data analysis and modeling.

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

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

• Grasp the core principles of object-oriented programming within MATLAB.
• Design and utilize classes, properties, and methods specifically for handling geophysical data.
• Implement OOP techniques to structure workflows for geophysical modeling and analysis.
• Improve code reusability, scalability, and clarity across geoscience projects.

Course Delivery Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Customization Options

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

This intensive two-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 background or familiarity with MATLAB. Participants will explore key themes including data analysis, visualization, modeling, and programming throughout the session.

This course is structured to teach the core principles of the Systems Modeling Language (SysML), its practical application using MagicDraw/Cameo software, fundamental MBSE simulation techniques, and industry best practices. The training also equips professionals with knowledge on architectural simulation foundations, introduces the Simulation Toolkit plugin, covers the simulation of various diagram types, and demonstrates how to integrate diagram simulations to automate architectural processes.​

This instructor-led live training in the UAE (online or onsite) is designed for Matlab users seeking to explore or transition to Python for data analytics and visualization.

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

• Install and configure a Python development environment.
• Identify the differences and similarities between Matlab and Python syntax.
• Leverage Python to extract insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

This course provides comprehensive materials on 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 the critical role of its powerful capabilities in simulation. The examples presented to illustrate the course material go beyond simple command usage, instead representing real-world problems.