Introduction to Image Processing using Matlab Training Course

This three-day course offers a comprehensive introduction to the MATLAB technical computing environment. It is designed for beginners and those seeking a refresher. No prior programming experience or knowledge of MATLAB is assumed. Throughout the course, key themes such as data analysis, visualisation, modelling, and programming are explored. Topics include:

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

During this instructor-led, live training session, participants will learn how to utilise Matlab to design, construct, and visualise 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 labelling process
• Utilise 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 instructor-led, live training in New Zealand (available online or on-site) is designed for beginner-level developers or engineers who wish to learn how to apply numerical simulation techniques to dynamic problems using Matlab.

By the conclusion of this training, participants will be able to:

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

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

This instructor-led, live training (available online or on-site) is designed for 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:

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

Course Format

• Interactive lectures and discussions.
• Abundant exercises and hands-on practice.
• Live implementation in a lab environment.

Course Customisation Options

• To request a customised training session 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 beginners as well as those seeking a refresher. No prior programming experience or familiarity with MATLAB is required. Throughout the course, key themes such as data analysis, visualisation, modelling, and programming are explored in depth.

This course is designed to introduce the fundamentals of the Systems Modeling Language (SysML), its application using MagicDraw/Cameo software, foundational Model-Based Systems Engineering (MBSE) simulation techniques, and industry best practices in MBSE. It also equips professionals with essential background knowledge in architectural simulation, an overview of the Simulation Toolkit plugin, methods for simulating various diagram types, and strategies for linking diagram simulations to automate architectural processes.​

This instructor-led, live training in New Zealand (delivered either online or on-site) is designed for Matlab users who wish to explore and/or transition to Python for data analytics and visualisation.

By the end of this training, participants will be able to:

• Install and configure a Python development environment.
• Understand the key differences and similarities between Matlab and Python syntax.
• Use Python to extract insights from a variety of datasets.
• Migrate existing Matlab applications to Python.
• Integrate Matlab and Python applications seamlessly.

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