Online MATLAB Training in Australia

Object-Oriented Programming with MATLAB for Geophysics involves leveraging MATLAB's OOP capabilities to develop structured, reusable, and maintainable code for geophysical data analysis and modelling.

This instructor-led, live training (available online or onsite) is designed for beginner-level MATLAB users in the geophysics sector 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:

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

Format of the Course

• Interactive lecture and discussion.
• Ample 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 Australia (online or onsite) is designed for MATLAB users who wish to explore or transition to Python for data analytics and visualization.

Upon completing this training, participants will be able to:

• Install and set up a Python development environment.
• Grasp the key differences and similarities between MATLAB and Python syntax.
• Leverage Python to derive insights from diverse datasets.
• Transform existing MATLAB applications into Python.
• Integrate MATLAB and Python applications effectively.

This four-day course delivers foundational knowledge in image processing using MATLAB. You will gain practical experience in modifying and enhancing images, as well as extracting patterns from them. Additionally, you will learn how to construct 2D filters and apply them to images.

Throughout the analysis process, examples and exercises illustrate the use of appropriate MATLAB and Image Processing Toolbox functionality.

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

This three-day course offers 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. The course explores key themes including data analysis, visualization, modeling, and programming. Topics covered include:

• Navigating the MATLAB user interface
• Entering commands and creating variables
• Analysing vectors and matrices
• Visualising vector and matrix data
• Working with data files
• Managing data types
• Automating commands using scripts
• Writing programs with logic 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

This intensive two-day course offers a thorough introduction to the MATLAB® technical computing environment. Designed for beginners and professionals seeking a refresher, it requires no prior programming experience or familiarity with MATLAB. Participants will explore key themes including data analysis, visualization, modelling, and programming throughout the sessions.

This course is designed to instruct the fundamentals of the Systems Modeling Language (SysML), its application via MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and MBSE best practices. Furthermore, this training aims to equip professionals with insights into architectural simulation, introduce the Simulation Toolkit plugin, demonstrate the simulation of various diagram types, and illustrate how to link diagram simulations to automate the architecture.​

This course provides comprehensive material on MATLAB as a potent simulation tool for communications. The primary aim is to introduce MATLAB not merely as a general programming language, but to emphasize the role of its extremely powerful capabilities as a simulation environment. The examples provided to illustrate the course material go beyond the direct use of MATLAB commands; they often represent real-world problems.