Online MATLAB Training in Sweden

Object-Oriented Programming with MATLAB for Geophysics applies MATLAB’s OOP capabilities to develop structured, reusable, and maintainable code for geophysical data analysis and modeling.

This instructor-led live training (available online or onsite) is designed for beginner-level MATLAB users in the field of geophysics who want to learn how to design and implement object-oriented solutions for geophysical applications.

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

• Grasp the fundamentals of object-oriented programming in MATLAB.
• Create and utilize classes, properties, and methods for managing 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 Sweden (online or onsite) is designed for Matlab users looking to explore or transition to Python for data analytics and visualization.

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

• Set up and configure a Python development environment.
• Compare and contrast the syntax of Matlab and Python.
• Leverage Python to derive insights from diverse datasets.
• Translate existing Matlab applications into Python.
• Integrate Matlab and Python applications.

This four-day course establishes the fundamental concepts of image processing using MATLAB. You will gain hands-on 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 image data.

Throughout the analysis process, examples and exercises illustrate the effective use of relevant MATLAB and Image Processing Toolbox functions.

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 MATLAB knowledge required. Throughout the course, key themes such as data analysis, visualization, modeling, and programming are explored. 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
• Working with data types
• Automating commands using scripts
• Writing programs with logic and flow control
• Defining functions

In this instructor-led, live training session, participants will learn how to use MATLAB to design, build, and visualize a convolutional neural network (CNN) 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 two-day course offers a thorough introduction to the MATLAB® technical computing environment. It is designed for beginners as well as those seeking a refresher, with no prior programming experience or knowledge of MATLAB assumed. The course covers essential themes such as data analysis, visualization, modeling, and programming.

This course is structured to teach the core principles of the Systems Modeling Language (SysML), its practical application using MagicDraw/Cameo software, fundamental MBSE simulation techniques, and industry best practices. The training also equips professionals with knowledge of architectural simulation foundations, an overview of the Simulation Toolkit plugin, the simulation of various diagram types, and methods for linking diagram simulations to automate architecture processes.​

This course provides comprehensive material on MATLAB as a powerful simulation tool for communications. The aim of this course is to introduce MATLAB not only as a general programming language, rather, the role of the extremely powerful MATLAB capabilities as a simulation tool is emphasized. The examples given to illustrate the material of the course is not just a direct use of MATLAB commands, instead they often represent real problems.