Online MATLAB Training in Norway

Object-Oriented Programming with MATLAB for Geophysics involves applying MATLAB’s OOP capabilities to develop structured, reusable, and easily 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 geophysics field who want 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 modeling and analysis workflows.
• Enhance code reusability, scalability, and clarity for geoscience projects.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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 Norway (online or onsite) is aimed at Matlab users who wish to explore 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 provides image processing foundations using Matlab. You will learn how to modify and enhance images, as well as extract patterns from them. You will also gain insights on constructing 2D filters and applying them to images.

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

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

This three-day program offers a thorough introduction to the MATLAB technical computing environment. It is designed for beginners and those seeking a refresher. No prior programming background or MATLAB knowledge is required. The course covers key themes such as data analysis, visualization, modeling, and programming. Topics include:

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

Through this instructor-led, live training session, participants will acquire the skills to design, construct, and visualize convolutional neural networks for image recognition using Matlab.

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

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

Audience

• Developers
• Engineers
• Domain experts

Format of the course

• A combination 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, it assumes no prior programming experience or familiarity with MATLAB. The curriculum explores key themes including data analysis, visualization, modeling, and programming.

This course is structured to teach 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. The training also equips professionals with background knowledge on architectural simulation, introduces the Simulation Toolkit plugin, covers the simulation of various diagram types, and demonstrates how to link diagram simulations to automate the architecture.​

This course provides comprehensive material on using MATLAB as a powerful simulation tool for communication systems. The primary aim is to introduce MATLAB not merely as a general programming language, but to emphasize its role as an exceptionally capable simulation environment. The examples presented to illustrate the course material go beyond simple command usage; they often represent and solve real-world problems.