MATLAB Training in Johannesburg

Object-Oriented Programming with MATLAB for Geophysics involves applying 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 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 manipulate classes, properties, and methods 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.
• Abundant exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

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

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

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

This instructor-led live training in Johannesburg (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.

This four-day course lays the groundwork for image processing using Matlab. You will learn how to manipulate and enhance images, as well as extract patterns from them. Additionally, you will gain the skills to construct 2D filters and apply them to images.

Examples and exercises demonstrate the use of appropriate Matlab and Image Processing Toolbox functionality throughout the analysis process.

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. Throughout the course, key themes such as data analysis, visualization, modelling, and programming are explored. The topics covered include:

• Working with the MATLAB user interface
• Entering commands and creating variables
• Analyzing vectors and matrices
• Visualizing 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

In this instructor-led, live training, attendees will discover how to leverage Matlab to design, construct, and visualise a convolutional neural network for image recognition.

Upon completion of this training, participants will be capable of:

• Constructing a deep learning model
• Automating the data labelling process
• Utilising models from Caffe and TensorFlow-Keras
• Training data across multiple GPUs, cloud environments, or clusters

Target Audience

• Developers
• Engineers
• Domain experts

Course Format

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

This two-day course 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 curriculum covers key themes such as data analysis, visualization, modelling, and programming.

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 best practices in MBSE. The training also aims to provide professionals with a background in architectural simulation, an introduction to the Simulation Toolkit plugin, the simulation of various diagram types, and methods for integrating 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 its role as an extremely powerful simulation environment. The examples used to illustrate the course material go beyond direct command usage, often representing real-world problems.