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5 Days of Matlab, Simulink & SimScape + ChatGPT - New!
Build Simulate Powerful Models in Matlab, Simulink, SimScape. Master Transfer Functions, PID, AI/ML & Live Scripts!
This Course Includes
udemy
4.6 (409 reviews )
7h 33m 
english
Online - Self Paced
professional certificate
Udemy
About 5 Days of Matlab, Simulink & SimScape + ChatGPT - New!
_Do you want to learn Matlab, Simulink, and Simscape in a practical, easy, fun, and engaging way?_
_Do you want to build powerful simulation models in Simulink & Simscape but don’t know where to start?_
_Are you an absolute beginner who want to break into modeling/simulation in Simulink and Simscape and looking for a course that has everything you need?_
_Do you want to leverage ChatGPT to automate your coding tasks?_
If the answer is yes to any of these questions, then this course is for you! Simulink is a powerful MATLAB-based tool used to design and simulate mechanical, electrical, electromechanical, and hydraulic systems using a large comprehensive drag and drop library. This course is unique and exceptional in many ways. Every day, we will spend 1-2 hours together and learn how to build and simulate Matlab, Simulink and simscape models. The course is designed in a unique project-based learning approach, and you will learn by doing! The course includes several practice opportunities, quizzes, and final capstone projects. Students who enroll in this course will be able to: 1. _Model and simulate Mechanical Systems Using Physical Modeling techniques in SimScape_ 2. _Model and Simulate Systems in the time domain using Simulink_ 3. _Analyze the system response and change model parameters using Matlab Live Scripts_ 4. _Understand the basic concepts of control systems and develop their own controllers in Simulink_ 5. _Understand control system theory, develop PID controllers, and tune controllers in Simulink_ 6. _Impress future (or current) employers with your marketable skills in MATLAB/Simulink_ 7. _Convert systems from the time domain to S-Domain Using Laplace Transform_ 8. _Understand the concept of transfer functions_ 9. _Understand the impact of the stiffness and damping coefficients on second order systems_ 10. _Understand the theory and intuition behind Artificial intelligence, deep learning, and neural networks_ 11. _Train Artificial Intelligence models in Matlab to detect and classify diabetes and cancer diseases_ 12. _Understand classifier model Key Performance indicators such as accuracy and ROC Curve_ 13. _Understand how to plot confusion matrices using Matlab_ 14. _Learn the difference between training, validation, and testing dataset_
_So who this course is for?_
The course is targeted towards anyone wanting to gain a fundamental understanding of Matlab, Simulink and simscape and solve practical real world business problems. In this course: (1) you will have a true practical project-based learning experience, we will build over 5 projects together (2) You will have access to all the codes, Simulink models and slides (3) You will get a certificate of completion that you can post on your LinkedIn profile to showcase your skills in Simulink and SimScape to employers. (4) All this comes with a 30-day money back guarantee so you can give a course a try risk free! Check out the preview videos and the outline to get an idea of the projects we will be covering. Enroll today and let’s harness the power of Matlab Simulink and SimScape together!
What You Will Learn?
- Model and simulate Mechanical Systems Using Physical Modeling techniques in SimScape .
- Model and Simulate Systems in the Time Domain Using Simulink .
- Analyze Systems Response and Change Model Parameters Using Matlab Live Scripts .
- Understand the Basic Concepts of Control Systems and Develop their Own Controllers in Simulink .
- Understand Control System Theory, Develop PID controllers, and Tune Controllers in Simulink .
- Convert Systems from Time Domain to S-Domain Using Laplace Transform .
- Understand the Concept of Transfer Functions .
- Understand the Impact of Stiffness and Damping Coefficients on Second-Order Systems .
- Understand the Theory and Intuition Behind Artificial Intelligence, Machine Learning, Deep Learning, and Artificial Neural Networks .
- Train Artificial Intelligence Classifier Models in Matlab to Detect and Classify Diabetes and Cancer diseases .
- Understand classifier model Key Performance Indicators (KPIs) such as accuracy, Area Under Curve (AUC) and Receiver Operating Characteristic (ROC) Curve .
- Leverage ChatGPT for Code Generation, Debugging and Documentation Show moreShow less.