Introduction to Image Processing using Matlab Training Course

Establishing core competencies in MATLAB programming unlocks a versatile platform for technical computing and numerical analysis. This course explores essential concepts including variable management, array operations, matrix algebra, control flow, custom function creation, and script development. Participants are guided through practical workflows such as data visualization, plotting techniques, and algorithm development, which are crucial for engineering simulations and mathematical modelling projects.

This three-day course offers a thorough introduction to the MATLAB technical computing environment. It is designed for beginners and those seeking a refresher, with no prior programming experience or knowledge of MATLAB assumed. Throughout the course, key themes of data analysis, visualization, modeling, and programming are explored. Key topics include:

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

In this guided, live training session, participants will discover how to use Matlab to design, construct, and visualise convolutional neural networks for image recognition.

By the conclusion of this training, participants will be capable of:

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

Audience

• Developers
• Engineers
• Domain experts

Format of the course

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

This instructor-led, live training in Botswana (online or onsite) targets beginner-level developers or engineers who wish to learn how to apply numerical simulation to dynamic problems using Matlab.

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

• Comprehend the fundamentals of dynamic analysis.
• Utilise Matlab to conduct analytical and numerical solutions.
• Derive motion equations through various approaches.

MATLAB brings together computation, visualization, and programming within a user-friendly environment. It features the Financial Toolbox, which provides the necessary tools for conducting mathematical and statistical analysis of financial data, along with high-quality graphics to present your findings effectively.

This instructor-led training offers a comprehensive introduction to MATLAB in the context of finance. Through practical exercises and ample in-lab practice, you will explore data analysis, visualization, modeling, and programming techniques.

Upon completion of this training, participants will possess a solid grasp of the powerful capabilities within MATLAB's Financial Toolbox and will have gained sufficient hands-on experience to apply these skills immediately to real-world challenges.

Audience

• Financial professionals who already have experience with MATLAB

Course Format

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

Object-Oriented Programming with MATLAB for Geophysics involves applying MATLAB’s object-oriented programming (OOP) features to develop structured, reusable, and maintainable code for geophysical data analysis and modelling.

This instructor-led live training, available online or onsite, targets beginner-level MATLAB users in the geophysics field 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:

• 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 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 Customization Options

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

This two-day programme offers 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 familiarity with MATLAB. Key themes such as data analysis, visualization, modelling, and programming are explored throughout the sessions.

This course is crafted to teach the core principles of the Systems Modeling Language (SysML), its application via MagicDraw/Cameo software, fundamental MBSE simulation techniques, and MBSE best practices. It also equips professionals with knowledge of architectural simulation foundations, introduces the Simulation Toolkit plugin, demonstrates simulations across various diagram types, and explains how to integrate diagram simulations to automate architecture.​

This guided, live training in Botswana (online or at your location) is designed for Matlab users who want to investigate or migrate to Python for data analytics and visualisation.

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

• Install and set up a Python development environment.
• Recognise the differences and similarities between Matlab and Python syntax.
• Utilise Python to derive insights from diverse datasets.
• Transform existing Matlab applications into Python.
• Integrate Matlab and Python applications.

Elevate automotive engineering proficiency through this advanced Simulink training programme. This course integrates theoretical models of multidomain dynamic systems with practical applications using Simulink/Stateflow verifiers, Reactis tools, and Matelo applications. Tailored for automotive systems engineers, control specialists, and MATLAB/Simulink experts aiming to master complex automotive modelling, participants will gain hands-on experience in solver selection, subsystem simulation parameters, and system verification. The curriculum is designed to help you build reliable, high-performance automotive control models and accelerate vehicle development cycles.

This course provides comprehensive material on MATLAB as a potent 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 powerful simulation capabilities. The examples provided to illustrate the course material do not simply demonstrate direct MATLAB command usage; instead, they often address real-world problems.

Objective: This training is designed for software engineers working with Model-Based Design (MBD) technology. The course covers modelling techniques for automotive systems, automotive standards, automated code generation, and the creation and verification of model test harnesses. Audience: Software developers working for automotive suppliers.