MATLAB Training in Plovdiv

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) targets beginner-level MATLAB users in geophysics 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.
• Extensive 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 Plovdiv (online or onsite) is designed for Matlab users who want 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 extract insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

This four-day course covers the fundamentals of image processing using Matlab. Participants will practice techniques for modifying and enhancing images, as well as extracting patterns from them. Additionally, the course teaches how to design 2D filters and apply them to images.

Examples and exercises illustrate the use of relevant Matlab and Image Processing Toolbox functionalities 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. Designed for beginners and those seeking a refresher, no prior programming background or MATLAB knowledge is required. The curriculum explores key themes including data analysis, visualization, modeling, and programming. Topics covered include:

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

In this instructor-led, live training, participants will learn how to utilize Matlab to design, construct, and visualize a convolutional neural network for the purpose of image recognition.

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

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

Audience

• Developers
• Engineers
• Domain experts

Format of the course

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

This two-day course offers a thorough introduction to the MATLAB® technical computing environment. It is designed for beginners and individuals seeking a refresher, with no assumed prior programming experience or knowledge of MATLAB. Throughout the course, key themes such as data analysis, visualization, modeling, and programming are explored in depth.

This course is structured to teach the core principles of the Systems Modeling Language (SysML), its application using MagicDraw/Cameo software, fundamental 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 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 its powerful capabilities play in simulation. The examples used to illustrate course content go beyond simple command execution; they often represent real-world problems.