
What you would learn in 5 Days of Matlab, Simulink & SimScape - New 2022 course?
Would you wish to master Matlab, Simulink, and Simscape in an efficient, simple, enjoyable, and entertaining method?
Have you wished to create strong simulation models using Simulink & Simscape But aren't sure where to begin?
Are you a complete beginner looking to get into modeling and simulation using Simulink or Simscape and searching for a course that will provide everything you require?
If you answered yes to one or more of these questions, the course could be right for you!
Simulink is a tool that uses MATLAB to design and model electromechanical, electromechanical, and mechanical hydraulic systems with an extensive Drag and Drop library.
This course is distinctive and extraordinary in several ways. Each day, we'll take a couple of hours to learn to construct and simulate Simulink, Matlab, and Simscape models.
The course is designed using a unique method of project-based learning, which means you learn through doing!
The course provides a variety of exercises, quizzes, and the final capstone project.
Students who take the course are capable of:
Model and emulate Mechanical Systems Utilizing physical modeling techniques within SimScape
Model as well as Simulate Systems within the domain of time by using Simulink
Review the system's response and alter model parameters by using Matlab Live scripts
Learn the fundamental concepts of control systems, and create their controllers using Simulink
Learn the concept of control systems theory, create PID controllers, and tune controllers with Simulink
Make an impression on the future (or the current) employers by demonstrating your skills to prospective employers in Simulink/MATLAB
Convert systems of the time domain into the S-Domain Utilizing Laplace Transform
Learn about the concept of transfer functions
Learn about the effects of damping and stiffness coefficients on second-order systems.
Learn the theory and the underlying logic behind Artificial intelligence deep learning, deep learning, and neural network
Create Artificial Intelligence models within Matlab to identify and classify cancer, diabetes, and other illnesses
Understanding the model of a classifier Key Performance indicators like accuracy and the ROC Curve
Learn how to plot confusion matrixes using Matlab
Learn the distinction between validation, training, and testing datasets
Course Content:
- Simulate and model Mechanical Systems Utilizing Physical Modeling techniques within SimScape
- Simulate and Model Systems within the Time Domain Using Simulink
- Study the Response of Systems and Change in Model Parameters with Matlab Live scripts
- Learn the fundamental concepts of Control Systems and create their Controllers using Simulink
- Know the control System Theory, Develop PID controllers, and Tune Controllers using Simulink
- Convert Systems from Time Domain to S-Domain Using Laplace Transform
- Know how to comprehend the Concept of Transfer Functions
- Learn about the impact of stiffness as well as Damping coefficients for Second-Order Systems
- Know the theory and intuition behind Artificial Intelligence, Machine Learning, Deep Learning, and Artificial Neural Networks
- Train Artificial Intelligence Classifier models in Matlab to identify and classify Diabetes and Cancer cancer
- Know the model of the classifier Key Performance Indicators (KPIs) like accuracy, accuracy, Area Under Curve (AUC) as well as the Receiver Operating Characteristic (ROC) Curve
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