MATLAB for Financial Applications Training Course

This four-day course establishes the foundational principles of image processing utilizing Matlab. Participants will gain hands-on experience in modifying and enhancing images, as well as extracting patterns from them. Additionally, the curriculum covers the construction of 2D filters and their application to image data.

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

This intensive three-day program offers a thorough introduction to the MATLAB technical computing environment. Designed for beginners and those seeking a refresher, the course assumes no prior programming background or familiarity with MATLAB. Throughout the training, key themes such as data analysis, visualization, modeling, and programming are explored in depth. Key topics covered include:

• Navigating the MATLAB user interface
• Executing commands and defining variables
• Analyzing vectors and matrices
• Visualizing vector and matrix data
• Managing data files
• Handling various data types
• Automating tasks using scripts
• Developing programs with logic and flow control
• Creating functions

In this instructor-led, live training, participants will learn how to use Matlab to design, build, and visualize a convolutional neural network 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

Object-Oriented Programming with MATLAB for Geophysics focuses on applying 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.

By the end 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 organize geophysical modeling and analysis workflows.
• Improve 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 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 course explores key themes such as data analysis, visualization, modeling, and programming.

The course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application through the MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and best practices in MBSE. This training is also designed to provide professionals with a background behind architectural simulation, an introduction to the Simulation Toolkit plugin, the simulation of multiple diagram types, and how to tie diagram simulations together to automate the architecture.

This instructor-led, live training in Argentina (online or onsite) is designed for Matlab users looking 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 similarities and differences 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 course provides comprehensive material on MATLAB as a potent simulation tool for communications. The primary goal is to introduce MATLAB not merely as a general programming language, but to emphasize the significant role its powerful capabilities play in simulation. The examples used to illustrate the course material go beyond simple command usage, often addressing real-world problems.