MATLAB Programming Training Course

This four-day course provides a solid foundation in image processing using Matlab. You will learn how to modify and enhance images, as well as extract meaningful patterns from them. Additionally, you will gain the skills to build and apply 2D filters to images.

Throughout the analysis process, practical examples and hands-on exercises illustrate the effective use of relevant Matlab and Image Processing Toolbox functionalities.

This intensive three-day program offers a thorough introduction to the MATLAB technical computing environment. Designed for beginners as well as 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. The curriculum covers:

• Navigating the MATLAB user interface
• Inputting commands and establishing variables
• Analyzing vectors and matrices
• Visualizing data contained within vectors and matrices
• Managing data files
• Handling various data types
• Automating tasks through scripts
• Developing programs with logical structures 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

Object-Oriented Programming with MATLAB for Geophysics refers to the use of MATLAB’s object-oriented programming (OOP) capabilities to develop structured, reusable, and maintainable code tailored for geophysical data analysis and modeling.

This instructor-led, live training (available online or on-site) is designed for beginner-level MATLAB users in the field of geophysics who wish 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 core principles of object-oriented programming in MATLAB.
• Create and work with classes, properties, and methods for handling geophysical data.
• Apply OOP techniques to structure workflows for geophysical modeling and analysis.
• Improve code reusability, scalability, and clarity for geoscience projects.

Course Format

• Interactive lectures and group discussions.
• Abundant hands-on exercises and practice sessions.
• Live implementation in a real-time lab environment.

Course Customization Options

• To request a customized version of this course, please contact us to arrange the details.

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

This instructor-led, live training in Uzbekistan (online or on-site) is designed for Matlab users who wish to explore or transition to Python for data analytics and visualisation.

By the end of this training, participants will be able to:

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

This course offers comprehensive material on MATLAB as a powerful simulation tool for communications. The primary objective is to introduce MATLAB not merely as a general-purpose programming language, but to emphasise its exceptional capabilities as a simulation environment. The examples provided to illustrate the course content go beyond the direct application of MATLAB commands; instead, they often address real-world problems.