MATLAB Training in Busan

Object-Oriented Programming with MATLAB for Geophysics leverages MATLAB's OOP capabilities to develop organized, reusable, and maintainable code tailored for geophysical data analysis and modeling.

This instructor-led live training, available both online and onsite, is designed for beginner-level MATLAB users in the geophysics field 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:

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

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Busan (online or onsite) is designed for beginner-level developers or engineers who want to learn how to utilize 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.

This instructor-led live training in Busan (online or onsite) is designed for 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 obtain insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

This four-day course offers foundational training in image processing with Matlab. You will learn how to modify and enhance images, as well as extract patterns from them. Additionally, you will gain skills in constructing 2D filters and applying them to images.

Examples and exercises throughout the course illustrate the use of relevant Matlab and Image Processing Toolbox functionalities during the analysis process.

This three-day program delivers a thorough 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, we explore key themes of data analysis, visualization, modeling, and programming. Key topics include:

• Navigating the MATLAB user interface
• Entering commands and creating variables
• Analyzing vectors and matrices
• Visualizing vector and matrix data
• Managing data files
• Handling various data types
• Automating tasks with scripts
• Writing programs with logic and flow control
• Defining and using 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

MATLAB seamlessly integrates computation, visualization, and programming within an intuitive environment. It provides the Financial Toolbox, which equips users with the necessary features to conduct mathematical and statistical analyses on financial data and present the results using high-quality graphics.

This instructor-led training offers a comprehensive introduction to using MATLAB in the financial sector. Through hands-on exercises and extensive in-lab practice, participants will explore data analysis, visualization, modeling, and programming.

Upon completion of this training, participants will have a deep understanding of the powerful capabilities within MATLAB's Financial Toolbox and will have gained sufficient practical experience to immediately apply these tools to solve real-world financial problems.

Audience

• Financial professionals who already have prior experience with MATLAB

Course Format

• A blend of lectures and discussions, with a strong emphasis on hands-on practice

This two-day program offers a thorough introduction to the MATLAB® technical computing environment. Designed for beginners and those seeking a refresher, no prior programming experience or familiarity with MATLAB is required. The course covers key themes such as data analysis, visualization, modeling, and programming throughout its duration.

This course is structured to teach the core principles of the Systems Modeling Language (SysML) and its application using MagicDraw/Cameo software, alongside fundamental Model-Based Systems Engineering (MBSE) simulation techniques and best practices. The training aims to equip professionals with a comprehensive understanding of architectural simulation, introduce the Simulation Toolkit plugin, demonstrate the simulation of various diagram types, and illustrate how to link diagram simulations to automate architectural workflows.​

This course provides comprehensive material on using MATLAB as a powerful simulation tool for communications. The primary goal is to introduce MATLAB not merely as a general programming language, but to emphasize its extensive capabilities as a simulation environment. The examples used to illustrate the course material go beyond direct command usage; they often address real-world problems.