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MATLAB 365 MasterClass
Be a Powerful MATLAB Programmer in 3-day
MATLAB Programming 365 MasterClass
Learn the essential MATLAB hands-on skills you need to discover the power of MATLAB to bring your ideas to implementation quickly.
Complimentary Services: Post training email support & 1-hr consultation session within 1 month after the course completion!
Course
Highlights
Do you want to take your ideas beyond research to production? Do you want to use one platform that integrates workflows? Major engineering and scientific challenges require broad coordination across teams to take ideas to implementation. Every handoff along the way adds errors and delays. MATLAB helps automates the entire path from research to production.
The heart of MATLAB is the MATLAB language, a matrix-based language allowing the most natural expression of computational mathematics. MATLAB® is widely used by millions of engineers and scientists to analyze data, develop algorithms, and create models.
Attend our 3-day MATLAB Programming 365 MasterClass to learn the essential MATLAB hands-on skills you need to discover the power of MATLAB to bring your ideas to implementation quickly. This three-day course covers themes of developing algorithm, visualization, writing efficient, robust, and well-organized code, extending built-in MATLAB capabilities, and creating a robust, interactive, and user-friendly interface for your applications (apps) in MATLAB.
Topics include:
- Working with the MATLAB user interface
- Working with vectors and matrices
- Visualizing data
- Working with data files
- Automating commands with scripts
- Writing programs with branching and loops
- Writing functions
- Structuring data
- Managing data efficiently
- Utilizing development tools
- Structuring code
- Laying out apps in the App Designer environment
- Creating callback functions for interactive components
- Creating and updating graphical objects in apps
- Making app components responsive to user behavior
Who Should
Attend
The course is intended for engineers, scientists, and researchers who wants to explore the capabilities of MATLAB from developing algorithms to creating user-friendly interface for application in MATLAB.
Course
Prerequisites
Undergraduate-level mathematics and experience with basic computer operations.
Course
Benefits
Upon the completion of the course, the participants will be able to:
- Perform calculations and analysis on data sets
- Create informative data visualizations
- Import data from a variety of file formats
- Write programs to automate complex tasks
- Optimize performance by choosing appropriate data types
- Effectively utilize development tools
- Create robust and user-friendly application interfaces
Partners
Upcoming Program
- Please keep me posted on the next schedule
- Please contact me to arrange customized/ in-house training
Course Outline
Exploring the MATLAB Environment
Objective: Become familiar with the main features of the MATLAB integrated design environment and its user interfaces.
- Desktop environment
- Preforming calculations with MATLAB
- Variables and assignment
Scripting with MATLAB Commands
Objective: Utilize MATLAB scripts, call functions, and access documentation to perform complex calculations.
- Using the Command History
- Saving commands to a script
- MATLAB editing environment
- Calling functions
- Using documentation
- Saving and loading MAT-files
Working with Data in MATLAB
Objective: Create, manipulate, and visualize data stored in vectors and matrices.
- Working with vectors
- Visualizing vectors
- Accessing and modifying values in vectors
- Concatenating vectors
- Working with matrices
- Importing and exporting from external formats
Controlling Flow and Creating Functions
Objective: Increase automation by encapsulating modular tasks as user-defined functions and incorporating programming constructs.
- Relational operators
- Conditional statements
- Creating functions
- Function workspaces
- Storing and accessing data in structures
- Using loops
Structuring Data
Objective: Explore choices for storing data within a MATLAB application.
- Data types
- Concatenation and conversion
- Cell and structure arrays
- Extracting data
Managing Data Efficiently
Objective: Use common techniques for improving performance when storing, accessing, and processing data.
- Preallocation
- Vectorization
- Memory management
- Objects and classes
Utilizing Development Tools
Objective: Use integrated tools to manage code, diagnose problems, debug applications, and measure performance.
- Managing files with Projects
- Finding potential problems in code
- Debugging code
- Assessing code performance
- Using Source Control
Working with the MATLAB User Interface
Objective: Use App Designer to create and share an app by laying out components and giving them interactive behavior.
- Working in the App Designer interface
- Adding callbacks to components
- Programming callback functionality
- Sharing apps with others
Creating and Updating Plots
Objective: Create apps with graphical elements that can be modified by user interaction, as well as apps with continuously adjustable components.
- Using plotting functions within apps
- Accessing graphical objects within apps
- Programming components to update the app continuously
- Sharing callbacks between multiple components
- Adding helper and startup functionality
Creating Responsive Components
Objective: Create robust and flexible apps with components that adapt appropriately to user actions.
- Adding and using local application data
- Working with grouped components
- Modifying component properties
