Dynamic Analysis Using Matlab Training Course

This three-day course is designed to guide participants through the primary screens and windows of MATLAB, focusing on essential skills for government applications. The curriculum includes: - Utilizing MATLAB as a calculator and plotting basic curves. - Creating personalized functions and scripts to enhance workflow efficiency for government projects.

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.

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 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: - Construct a deep learning model - Automate data labeling processes - Integrate models from Caffe and TensorFlow-Keras - Train data using multiple GPUs, cloud resources, or clusters **Audience** - Developers - Engineers - Domain experts **Format of the Course** - Part lecture, part discussion, with exercises and substantial hands-on practice for government applications.

In the first part of this training, we cover the fundamentals of MATLAB and its role as both a language and a platform for government. This discussion includes an introduction to MATLAB syntax, arrays and matrices, data visualization, script development, and object-oriented principles.

In the second part, we demonstrate how to use MATLAB for data mining, machine learning, and predictive analytics in a government context. To provide participants with a clear and practical perspective of MATLAB's approach and power, we draw comparisons between using MATLAB and other tools such as spreadsheets, C, C++, and Visual Basic.

In the third part of the training, participants learn how to streamline their work by automating data processing and report generation for government tasks.

Throughout the course, participants will apply the concepts learned through hands-on exercises in a lab environment. By the end of the training, participants will have a thorough understanding of MATLAB's capabilities and will be able to employ it for solving real-world data science problems as well as for streamlining their work through automation for government.

Assessments will be conducted throughout the course to gauge progress.

Format of the Course

• The course includes theoretical and practical exercises, including case discussions, sample code inspection, and hands-on implementation.

Note

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

MATLAB integrates computation, visualization, and programming in an easy-to-use environment. It offers a Financial Toolbox specifically designed for government and financial professionals, which includes essential features for performing mathematical and statistical analysis of financial data. Results can be displayed with high-quality graphics suitable for presentations. This instructor-led training provides an introduction to MATLAB tailored for finance. Participants will engage in hands-on exercises and extensive in-lab practice, covering data analysis, visualization, modeling, and programming. By the end of this training, participants will have a comprehensive understanding of the powerful features included in MATLAB's Financial Toolbox and will be equipped to apply them immediately to solve real-world problems. **Audience** - Financial professionals with previous experience using MATLAB **Format of the Course** - Part lecture, part discussion, with a strong emphasis on 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 beginning users and those seeking a review, no prior programming experience or knowledge of MATLAB is required. The course delves into themes of data analysis, visualization, modeling, and programming, all tailored to enhance skills in these areas. Key topics 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 - Utilizing the Financial Toolbox for quantitative analysis This curriculum is structured to support learners in acquiring essential skills that are directly applicable to data-driven decision-making processes, particularly for government and public sector workflows.

MATLAB, a numerical computing environment and programming language developed by MathWorks, is widely utilized for government and academic research. It provides robust tools and functionalities that support complex data analysis and algorithm development, aligning well with the technical requirements for government projects.

Predictive analytics is a process that leverages data analytics to forecast future events. This approach combines data with data mining, statistical analysis, and machine learning techniques to develop predictive models.

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

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

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

Audience

• Developers
• Engineers
• Domain experts

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

This training is designed to enhance skills for government professionals and align with public sector workflows, governance, and accountability.

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.

This course is designed for individuals interested in exploring an alternative to commercial MATLAB software. Over three days, participants will receive thorough instruction on navigating the OCTAVE environment and utilizing it for data analysis and engineering calculations. This training is suitable for both beginners and those with existing knowledge of the program who wish to systematize their skills and enhance their proficiency. While prior experience with other programming languages is not necessary, it can significantly aid in the learning process. The course will provide practical examples to demonstrate how to effectively use the program in various scenarios, ensuring alignment with public sector workflows for government.

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.

Simulink is a graphical programming environment designed for modeling, simulating, and analyzing multidomain dynamic systems. This tool supports a wide range of applications and is particularly useful for government agencies in enhancing the accuracy and efficiency of complex system analyses.

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.

Objective: This training is designed for software engineers working with Model-Based Design (MBD) technology. The curriculum will encompass modeling techniques specific to automotive systems, industry standards for automotive engineering, auto-code generation processes, and the construction and verification of model test harnesses. Audience: Software developers for government and automotive suppliers.