Online MATLAB Training in US

Object-Oriented Programming with MATLAB for Geophysics involves the application of MATLAB’s OOP features to develop structured, reusable, and maintainable code for geophysical data analysis and modeling. This instructor-led, live training (online or onsite) is designed for beginner-level MATLAB users in geophysics 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 managing geophysical data. - 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 sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is aimed at MATLAB users who wish to explore and transition to Python for data analytics and visualization for government purposes. 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 gain insights from various datasets. - Convert existing MATLAB applications to Python. - Integrate MATLAB and Python applications within their workflows.

This four-day course offers foundational training in image processing using MATLAB. Participants will practice techniques for modifying and enhancing images, as well as extracting patterns from them. Additionally, the course covers the construction and application of 2D filters to images. Examples and exercises throughout the course demonstrate the effective use of MATLAB and Image Processing Toolbox functionalities, ensuring that participants gain practical skills applicable in various contexts, including those for government workflows and projects.

MATLAB constitutes a numerical computing environment and programming language engineered by MathWorks to support analytical workflows for government.

This three-day course offers a comprehensive introduction to the MATLAB technical computing environment, tailored for government users. The course is designed for beginning users and those seeking a refresher, requiring no prior programming experience or knowledge of MATLAB. Key themes such as data analysis, visualization, modeling, and programming are explored throughout the course. Topics covered include: - Navigating the MATLAB user interface - Executing commands and creating variables - Analyzing vectors and matrices - Visualizing vector and matrix data - Managing data files - Working with various data types - Automating tasks with scripts - Developing programs using logic and flow control - Creating functions This course is structured to align with the needs of public sector workflows, governance, and accountability, ensuring that participants are well-equipped to apply MATLAB effectively in their professional responsibilities for government.

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

By the end of this training, participants will be able to:

• Develop a deep learning model
• Automate data labeling processes
• Integrate models from Caffe and TensorFlow-Keras
• Leverage multiple GPUs, cloud resources, or clusters for training data

Audience

• Developers
• Engineers
• Domain experts

Format of the Course

• Combination of lecture, discussion, practical exercises, and extensive hands-on practice to ensure proficiency in using MATLAB for government applications.

This two-day course provides a comprehensive introduction to the MATLAB® technical computing environment for government. The course is intended for beginner users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course, with an emphasis on aligning these skills with public sector workflows and governance.

The course is structured to instruct participants in the foundational elements of the Systems Modeling Language (SysML), its practical application using MagicDraw/Cameo software, essential Model-Based Systems Engineering (MBSE) simulation techniques, and recommended best practices in MBSE. This training is also intended to equip professionals with an understanding of architectural simulation principles, an overview of the Simulation Toolkit plugin, the ability to simulate various diagram types, and the methodology for integrating these simulations to automate the architecture. The content is tailored to enhance skills and knowledge for government professionals involved in systems engineering and modeling.

This course provides comprehensive material on MATLAB as a robust simulation tool for communications. The objective of this course is to introduce MATLAB not only as a general programming language but also to highlight its extensive capabilities as a simulation tool. The examples provided are designed to illustrate the course content through practical, real-world problems, ensuring that participants gain a deep understanding of how to apply these tools effectively for government and industry applications.