Online MATLAB Training in the UAE

Object-Oriented Programming with MATLAB for Geophysics is the application of MATLAB’s OOP features to create structured, reusable, and maintainable code for geophysical data analysis and modeling.

This instructor-led, live training (online or onsite) is aimed at beginner-level MATLAB users in 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 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 instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level developers or engineers who wish to learn how to use numerical simulation for dynamic problems using Matlab.

By the end 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.

In the initial segment of this training program, we delve into the basics of MATLAB and its dual role as a programming language and an integrated platform. This section introduces participants to MATLAB syntax, arrays and matrices, data visualization techniques, script creation, and object-oriented programming concepts.

The second part focuses on utilizing MATLAB for tasks such as data mining, machine learning, and predictive analytics. To offer a clear and practical understanding of MATLAB's capabilities compared to other tools like spreadsheets, C, C++, and Visual Basic, we provide relevant comparisons throughout the session.

In the final segment, participants will learn how to enhance their workflow by automating data processing tasks and report generation using MATLAB.

Throughout the course, practical application of these concepts is emphasized through hands-on exercises in a lab setting. By the conclusion of the training, participants will have a comprehensive understanding of MATLAB's functionalities and be equipped to tackle real-world data science challenges as well as streamline their work processes through automation.

Progress assessments are integrated into the course to monitor learning outcomes.

Course Format

• The curriculum encompasses both theoretical and practical exercises, including case studies, code review, and hands-on implementation.

Note

• Practical sessions will be based on pre-arranged sample data report templates. For any specific needs, please reach out to us for arrangements.

This instructor-led, live training in the UAE (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.

This three-day course guides you through the primary interfaces and screens of MATLAB, including...

• using MATLAB as a calculator and plotting fundamental graphs
• creating personalized functions and scripts

This four-day course offers a comprehensive introduction to image processing using Matlab. You will gain hands-on experience in modifying and enhancing images, as well as extracting patterns from them. Additionally, you will learn how to develop 2D filters and apply them to images.

Through various examples and exercises, the course illustrates the effective use of Matlab and the Image Processing Toolbox throughout the analysis process.

This three-day course offers a thorough introduction to the MATLAB technical computing environment. It is designed for new users and those seeking a refresher, without assuming any prior programming experience or familiarity with MATLAB. Throughout the course, key areas such as data analysis, visualization, modeling, and programming are thoroughly covered. The curriculum includes:

• Interacting with the MATLAB user interface
• Inputting commands and generating variables
• Evaluating vectors and matrices
• Visual representation of vector and matrix data
• Handling data files
• Managing different data types
• Automating tasks using scripts
• Crafting programs with logical structures and flow control
• Creating functions

In this instructor-led live training session, participants will gain skills in utilizing Matlab to create, construct, and visualize a convolutional neural network for image recognition.

Upon completion of the course, participants will be equipped with the ability to:

• Create a deep learning model
• Automate the process of data labeling
• Operate with models from Caffe and TensorFlow-Keras
• Train datasets using multiple GPUs, cloud services, or clusters

Audience

• Software Developers
• Engineers
• Subject Matter Experts

Course Format

• The course includes lectures, discussions, practical exercises, and extensive hands-on practice.

MATLAB combines computation, visualization, and programming in a user-friendly environment. It includes the Financial Toolbox, which provides essential features for conducting mathematical and statistical analysis of financial data and presenting results with high-quality graphics.

This instructor-led course offers an introduction to MATLAB for finance professionals. Through practical exercises and extensive lab practice, we explore data analysis, visualization, modeling, and programming.

By the end of this training, participants will have a comprehensive understanding of the robust features in MATLAB's Financial Toolbox and will be well-practiced in applying them to solve real-world financial challenges.

Audience

• Financial professionals with prior experience using MATLAB

Course Format

• Mixed lecture and discussion, with a strong emphasis on hands-on practice

This course offers a thorough introduction to the MATLAB technical computing environment, along with an overview of using MATLAB in financial applications. It is designed for beginners and those seeking a refresher. No prior programming experience or familiarity with MATLAB is required. Throughout the course, key themes such as data analysis, visualization, modeling, and programming are covered. The curriculum includes:

• Navigating the MATLAB user interface
• Executing commands and generating variables
• Evaluating vectors and matrices
• Visual representation of vector and matrix data
• Handling data files
• Managing different data types
• Automating tasks with scripts
• Creating programs using logic and flow control
• Developing functions
• Leveraging the Financial Toolbox for quantitative analysis

MATLAB is a programming language and numerical computing environment created by MathWorks.

Predictive analytics involves utilizing data analytics to forecast future trends. This method employs data mining, statistical analysis, and machine learning techniques to develop models that can predict upcoming events.

This instructor-led live training will guide participants on how to use Matlab to construct predictive models and apply them to extensive datasets for forecasting based on historical information.

By the conclusion of this course, attendees will be able to:

• Develop predictive models to examine patterns in past and transactional data
• Leverage predictive modeling to pinpoint risks and opportunities
• Create mathematical models that reflect significant trends
• Utilize data from devices and business systems to minimize waste, save time, or reduce costs

Audience

• Developers
• Engineers
• Domain experts

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

This two-day course offers a thorough introduction to the MATLAB® technical computing environment. Designed for beginners and those seeking a refresher, the course requires no prior programming experience or familiarity with MATLAB. Key themes such as data analysis, visualization, modeling, and programming are explored in depth throughout the course.

The course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application through the MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and best practices in MBSE. This training is also designed to provide professionals with a background behind architectural simulation, an introduction to the Simulation Toolkit plugin, the simulation of multiple diagram types, and how to tie diagram simulations together to automate the architecture.​

This course is designed for individuals interested in exploring an alternative to the commercial MATLAB software. Over three days, participants will gain a thorough understanding of navigating the environment and utilizing the OCTAVE package for data analysis and engineering computations. The training caters to both beginners and those who already have some experience with the program but wish to refine their skills and organize their knowledge more effectively. Prior programming knowledge is not mandatory but can significantly aid in learning. Through numerous practical examples, the course will demonstrate how to leverage the OCTAVE package effectively.

Simulink serves as a graphical programming platform for the modeling, simulation, and analysis of complex, multidomain dynamic systems.

This course provides extensive content on MATLAB as a robust simulation tool for communications. The primary objective is to introduce MATLAB beyond its role as a general programming language and to highlight its exceptional capabilities as a simulation tool. The examples used throughout the course do not merely demonstrate basic MATLAB commands; instead, they often reflect real-world problems.

Objective: This course is designed for software engineers utilizing MBD technology. It will encompass modeling techniques for automotive systems, industry standards, auto-code generation, and the construction and validation of model test harnesses. Audience: Software developers working in automotive supply companies.