Dynamic Analysis Using Matlab Training Course

A 3-day course that guides you through the main screens and windows of MATLAB, including...

• how to use MATLAB as a calculator and plot basic curves
• how to create your own customized functions and scripts

This four-day course offers a comprehensive introduction to image processing using Matlab. During the course, you will gain hands-on experience in modifying and enhancing images, as well as extracting patterns from them. You will also learn how to construct 2D filters and apply them to images.

Throughout the course, examples and exercises will illustrate the effective use of Matlab and the Image Processing Toolbox, guiding you through the entire analysis process.

This three-day course offers a thorough introduction to the MATLAB technical computing environment. Designed for beginners and those seeking a refresher, the course requires no prior programming experience or knowledge of MATLAB. Throughout the course, participants will explore key themes such as data analysis, visualization, modeling, and programming. The curriculum covers:

• 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 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:

• Create a deep learning model
• Automate data labeling processes
• Work with models from Caffe and TensorFlow-Keras
• Train data using multiple GPUs, cloud resources, or clusters

Audience

• Developers
• Engineers
• Domain experts

Format of the course

• Combination of lecture, discussion, practical exercises, and extensive hands-on practice

In the first part of this training, we delve into the essentials of MATLAB, exploring its role as both a programming language and a powerful platform. This section covers an introduction to MATLAB syntax, arrays and matrices, data visualization techniques, script development, and object-oriented programming principles.

During the second part, we showcase how to utilize MATLAB for data mining, machine learning, and predictive analytics. To provide participants with a clear and practical understanding of MATLAB's capabilities, we compare its use to other tools such as spreadsheets, C, C++, and Visual Basic.

In the third part of the training, participants will learn how to automate their data processing and report generation processes, enhancing efficiency and productivity.

Throughout the course, participants will apply the concepts learned through hands-on exercises in a lab environment. By the end of the training, they will have a comprehensive understanding of MATLAB's capabilities and be able to use it effectively for solving real-world data science problems and automating their work.

Assessments will be conducted throughout the course to monitor progress.

Format of the Course

• The course combines theoretical and practical exercises, including case discussions, code reviews, and hands-on implementation sessions.

Note

• Practice sessions will be based on pre-arranged sample data report templates. If you have specific requirements, please contact us to arrange them.

MATLAB seamlessly integrates computation, visualization, and programming in an intuitive environment. It offers a Financial Toolbox that includes all the necessary features for performing mathematical and statistical analysis of financial data, along with the ability to present results using high-quality graphics.

This instructor-led training provides an introduction to MATLAB specifically tailored for finance. Through hands-on exercises and extensive in-lab practice, participants will delve into data analysis, visualization, modeling, and programming.

By the end of this training, participants will have a comprehensive understanding of the powerful features available in MATLAB's Financial Toolbox and will be well-prepared to apply these tools immediately to solve real-world financial problems.

Audience

• Financial professionals with prior experience using MATLAB

Format of the course

• Combination of lectures, discussions, and intensive hands-on practice

This course offers a thorough introduction to the MATLAB technical computing environment, along with an overview of using MATLAB for financial applications. Designed for beginners and those seeking a refresher, the course assumes no prior programming experience or knowledge of MATLAB. The curriculum covers themes such as data analysis, visualization, modeling, and programming throughout the course. Key topics include:

• Navigating the MATLAB user interface
• Inputting commands and creating variables
• Performing vector and matrix analysis
• Visualizing vector and matrix data
• Handling data files
• Working with various data types
• Automating tasks with scripts
• Developing programs using logic and flow control
• Creating functions
• Leveraging the Financial Toolbox for quantitative analysis

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

Predictive analytics involves using data analysis to make forecasts about future events. This approach combines data with techniques such as data mining, statistics, and machine learning to develop models that can predict future outcomes.

In this instructor-led, live training, participants will learn how to use Matlab to create predictive models and apply them to large datasets to forecast future events based on the available data.

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

• Create predictive models to identify patterns in historical and transactional data
• Use predictive modeling to uncover risks and opportunities
• Develop mathematical models that capture significant trends
• Leverage data from devices and business systems to optimize processes, save time, or reduce costs

Audience

• Developers
• Engineers
• Domain experts

Format of the course

• Part lecture, part discussion, with 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, the course requires no prior programming experience or familiarity with MATLAB. The curriculum covers key themes such as data analysis, visualization, modeling, and programming, providing a well-rounded foundation in these areas.

This course is designed for individuals who are interested in exploring an alternative to the commercial MATLAB package. Over the course of three days, participants will gain a thorough understanding of navigating and utilizing the OCTAVE environment for data analysis and engineering calculations. The training is suitable for beginners as well as those with prior experience who wish to organize their knowledge and enhance their skills. While familiarity with other programming languages is not necessary, it can significantly aid in the learning process. The course will provide numerous practical examples to illustrate how to effectively use the program.

This instructor-led, live training in Slovakia (online or onsite) is aimed at Matlab users who wish to explore and 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.

Simulink is a graphical programming environment used for modeling, simulating, and analyzing multidomain dynamic systems.

This course offers extensive material on MATLAB, highlighting its strength as a simulation tool for communications. The primary goal of this course is to introduce MATLAB not merely as a general programming language, but to emphasize its powerful capabilities as a simulation tool. The examples provided in the course are designed to illustrate real-world problems rather than simply demonstrating direct use of MATLAB commands.

Objective: This training is designed for software engineers working with Model-Based Design (MBD) technology. It will cover modelling techniques for automotive systems, automotive standards, auto-code generation, and the creation and verification of model test harnesses. Audience: Software developers at automotive suppliers.