Basic MATLAB Programming Training Course

This four-day course offers a solid foundation in image processing using Matlab. Participants will practice modifying and enhancing images, as well as extracting patterns from them. Additionally, you will learn how to design 2D filters and apply them to images.

Throughout the analysis process, examples and exercises illustrate the effective use of Matlab and Image Processing Toolbox functionalities.

This three-day program delivers a thorough introduction to the MATLAB technical computing environment. Designed for beginners and those seeking a refresher, the course assumes no prior programming experience or knowledge of MATLAB. Throughout the training, participants will explore key themes such as data analysis, visualization, modeling, and programming. Topics covered include:

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

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

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

• Construct a deep learning model
• Automate the data labeling process
• 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

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

This instructor-led, live training in Taiwan (online or onsite) is designed for beginner-level developers or engineers who want to learn how to apply numerical simulation to dynamic problems using Matlab.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of dynamic analysis.
• Utilize Matlab to perform analytical and numerical solutions.
• Derive motion equations using various approaches.

MATLAB seamlessly integrates computation, visualization, and programming within a user-friendly environment. It includes the Financial Toolbox, offering essential features for conducting mathematical and statistical analyses of financial data, while displaying results with presentation-quality graphics.

This instructor-led training introduces participants to MATLAB for finance. Through hands-on exercises and extensive in-lab practice, learners dive into data analysis, visualization, modeling, and programming.

Upon completing this training, participants will possess a thorough understanding of the powerful features in MATLAB's Financial Toolbox and will have gained sufficient practice to immediately apply them to solve real-world problems.

Audience

• Financial professionals with prior experience using MATLAB

Course Format

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

Applying MATLAB's OOP capabilities to build structured, reusable, and maintainable code for geophysical data analysis and modeling.

This instructor-led live training (available online or onsite) targets beginner MATLAB users in geophysics who want 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.
• Extensive 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 two-day course offers a comprehensive introduction to the MATLAB® technical computing environment. It is designed for beginner users and those seeking a refresher. No prior programming experience or knowledge of MATLAB is required. The course explores key themes of data analysis, visualization, modeling, and programming throughout.

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

This instructor-led, live training in Taiwan (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.

Enhance automotive engineering expertise through this advanced Simulink training, which integrates theoretical models of multidomain dynamic systems with practical examples using Simulink/Stateflow verifiers, Reactis tools, and Matelo applications. This course is tailored for automotive systems engineers, control specialists, and MATLAB/Simulink professionals aiming 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 accelerating vehicle development cycles.

This course provides comprehensive material on MATLAB as a powerful 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 advanced capabilities in simulation. The examples provided to illustrate the course material go beyond the direct application of MATLAB commands; they often address real-world engineering problems.

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