Basic MATLAB Programming Training Course

This four-day course lays the groundwork for image processing using Matlab. Participants will learn how to modify and enhance images, as well as extract patterns from them. Additionally, you will discover how to design 2D filters and apply them effectively to images.

Throughout the analysis process, practical examples and exercises illustrate the application of relevant Matlab and Image Processing Toolbox features.

This three-day course 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. Throughout the course, key themes such as data analysis, visualization, modeling, and programming are explored. Key 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 via scripts
• Developing programs with logic and flow control
• Writing functions

During this instructor-led live training, participants will discover how to utilize Matlab to design, construct, and visualize a convolutional neural network specifically for image recognition.

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

• Construct a deep learning model
• Automate the data labeling process
• Utilize models from Caffe and TensorFlow-Keras
• Train data employing multiple GPUs, cloud resources, or clusters

Audience

• Developers
• Engineers
• Domain experts

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

In the initial segment of this training, we explore the core principles of MATLAB and its dual role as both a programming language and a development platform. This section covers an introduction to MATLAB syntax, arrays and matrices, data visualization, script creation, and object-oriented concepts.

The second part demonstrates how to leverage MATLAB for data mining, machine learning, and predictive analytics. To offer participants a clear and practical understanding of MATLAB's approach and capabilities, we compare its usage with other tools such as spreadsheets, C, C++, and Visual Basic.

In the final segment, participants learn how to optimize their workflows by automating data processing and report generation.

Throughout the course, participants will apply the concepts learned through practical exercises in a lab setting. By the end of the training, participants will have a comprehensive understanding of MATLAB's capabilities and will be able to use it to solve real-world data science problems and streamline their work through automation.

Progress assessments will be conducted throughout the course.

Course Format

• The course comprises theoretical and practical exercises, including case studies, sample code review, and hands-on implementation.

Note

• Practice sessions utilize pre-arranged sample data report templates. If you have specific requirements, please contact us to arrange accordingly.

This instructor-led, live training in Portugal (online or on-site) is designed for beginner-level developers or engineers who want to learn how to apply numerical simulation to 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.

MATLAB seamlessly integrates computation, visualization, and programming within a user-friendly environment. It features the Financial Toolbox, which provides the essential capabilities to conduct mathematical and statistical analysis of financial data, followed by the presentation of results through high-quality graphics.

This instructor-led training offers an introduction to using MATLAB for financial applications. Participants will explore data analysis, visualization, modeling, and programming through practical exercises and extensive in-lab practice.

Upon completion of this training, participants will possess a comprehensive understanding of the powerful features available in MATLAB's Financial Toolbox and will have acquired sufficient practical experience to immediately apply these skills to resolve real-world problems.

Audience

• Financial professionals who already have experience with MATLAB

Course Format

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

This course offers a thorough introduction to the MATLAB technical computing environment, alongside an overview of utilizing MATLAB for financial applications. 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. Key topics covered include:

• Navigating the MATLAB user interface
• Inputting commands and defining variables
• Analyzing vectors and matrices
• Visualizing vector and matrix data
• Managing data files
• Handling data types
• Automating tasks with scripts
• Developing programs with logic and flow control
• Creating functions
• Leveraging the Financial Toolbox for quantitative analysis

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

This instructor-led live training, available online or onsite, is designed for beginner-level MATLAB users in geophysics who want to learn how to design and implement object-oriented solutions for geophysical applications.

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

• Grasp the fundamentals of object-oriented programming in MATLAB.
• Create and manipulate classes, properties, and methods for geophysical data handling.
• Apply OOP techniques to structure geophysical modeling and analysis workflows.
• Improve code reusability, scalability, and clarity for geoscience projects.

Course Format

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

Course Customization Options

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

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

Predictive analytics is the practice of leveraging data analysis to forecast future outcomes. This approach combines data with techniques from data mining, statistics, and machine learning to construct predictive models capable of anticipating upcoming events.

Through this instructor-led live training, participants will acquire the skills to utilize Matlab for building predictive models and applying them to large-scale datasets to forecast future scenarios based on historical data.

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

• Develop predictive models to analyze patterns within historical and transactional data
• Employ predictive modeling to identify potential risks and opportunities
• Construct mathematical models that effectively capture key trends
• Leverage data from devices and business systems to minimize waste, save time, or reduce costs

Audience

• Developers
• Engineers
• Domain experts

Format of the course

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Designed for a two-day duration, this course offers a thorough introduction to the MATLAB® technical computing environment. It is tailored for beginners or individuals seeking a refresher, with no prior programming background or MATLAB knowledge required. Key themes such as data analysis, visualization, modeling, and programming are covered comprehensively throughout the training.

This course aims to teach the core principles of the Systems Modeling Language (SysML), its application using MagicDraw/Cameo software, fundamental MBSE simulation techniques, and industry best practices. It is also designed to equip professionals with the background knowledge needed for architectural simulation, introduce the Simulation Toolkit plugin, cover the simulation of various diagram types, and demonstrate how to link diagram simulations to automate architecture.​

This course is designed for individuals seeking an open-source alternative to the commercial MATLAB software. Over three days, participants will gain comprehensive insights into navigating the Octave environment and utilizing the Octave package for data analysis and engineering computations. The training caters to both beginners and experienced users who wish to systematize their knowledge and enhance their skills. While prior knowledge of other programming languages is not mandatory, it significantly facilitates the learning process. Throughout the course, participants will learn to apply the software through numerous practical examples.

This instructor-led live training in Portugal (online or on-site) 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 derive insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

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