Training - Courses

Objective: Gain an understanding of the purpose and applications of MATLAB

• Know about The MathWorks and available tools
• Identify how The MathWorks tools fit into workflow
• Recognize how this course and related tools might change the workflow
• Install the class CD
• Introduction to The MathWorks
• The MathWorks tool family
• Course outcomes
• Getting ready for the class

Objective: Describe the Model-Based Design process and how the process will be covered in the course

• This chapter provides and overview of Model-Based Design and describes how the process will be covered by the course. There are also references to other training courses offered by The MathWorks that cover other parts of Model-Based Design

Objective: Describe how a Simulink model can be used to store system requirements, illustrate data flow, and define system interfaces.

• Understanding the engine spark control system
• Defining component placeholders within Simulink models
• Linking system requirements
• Establishing component interfaces
• Using bus signals to define interfaces

Objective: Discuss the pros and cons of the different features used for organizing a Simulink model into separate components.

• Creating and using subsystems, libraries, and model references
• Practical issues when using system components
  

Objective: Illustrate the methods used for managing and customizing the Simulink environment and Simulink model dependencies.

• Model dependencies
• Creating component variants
• Setting up a Simulink project
• Interfacing to revision control tools
• Customizing the Simulink environment

Objective: Discuss the data dependencies of a Simulink model and provide best practices for managing a Simulink model's data.

• Storing parameters base, model, and mask workspace
• Loading and saving parameters
• Using data objects
• Creating tunable parameters
• Reorganizing knock detection model data

Objective: Discuss how to use the Simulink Model Advisor to enforce modeling standards, check for common modeling errors and optimize model performance.

• What are modeling standards?
• Why have modeling standards?
• Using the Model Advisor
• Model Advisor checks
• Creating custom checks in the Model Advisor

Objective: Describe the tools available to test a Simulink model (Simulink, M-files, and SystemTest) and illustrate common testing tasks, such as parameter sweeping and model coverage.

• Tools for testing
• Functional Testing (Using Simulink, MATLAB M-files, SystemTest

Objective: Describe how to obtain test coverage results on a Simulink model and how to automatically generate test cases.

• Developing a test case
• Testing for coverage
• Analyzing results
• Generating tests automatically
  

Objective: Discuss the methods of automatically creating reports and documentation from Simulink models.

• Printing a model with PrintFrames
• Generating a model report
• Exporting to a Web view
• Profiling a model simulation
• Generating a custom report with Simulink Report Generator