Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
3-DAY COURSE AGENDA
Day One
Introduction to the AIM Process
- Understanding the AIM Process.
- "Without software, there is no system."
- A Process Roadmap for Hardware/Software Co-Design.
AI Acceleration in MBSE
- How AI accelerates MBSE.
-
Developing AI Personas and Agents.
- AI as a subject matter expert.
- AI as a design assistant.
- AI as a code generator.
- Effective prompting strategies.
Scanning Electron Microscope Example
- Introduction to the SEM example.
- Relevance and application of AIM in SEM.
SysML Basics and Introduction to SysML v2
- Overview of SysML.
- Key elements and diagrams in SysML.
- Introduction to SysML v2: benefits and new features.
Domain Modeling
- Importance of domain modeling.
-
Hands-on Lab Session: Domain Modeling.
- Students use AI to help create a Domain Model for the SEM.
Requirements Engineering
- Writing clear requirements.
- Using AI to enhance requirements gathering.
- Zigzag Prompting.
- Deep Dive Prompting.
-
Hands-on Lab Session: Requirements Modeling.
- Students use AI to help gather and write requirements for the SEM.
Use Cases
- Importance of use cases in MBSE.
- Writing effective use cases.
- Using AI for writing use cases, with a focus on alternate and exception behavior.
-
Automated Executable Wireframes.
- Creating and validating wireframes.
-
Hands-on Lab Session: Use Cases.
- Students use AI to help write use cases and create wireframes for the SEM.
Day Two
Logical Architecture
- Overview of Logical Architecture.
- Key components and their relationships.
Domain-Driven Logical Architecture
- Subsystem decomposition.
-
Object-Oriented Approach in MBSE.
- Benefits of an object-oriented approach.
- Comparison with traditional methods.
-
Avoiding Item Flow Violations.
- Strategies to prevent item flow violations.
- Common pitfalls and how to avoid them.
-
Developing Logical Models.
- Hands-on exercises with logical models.
-
Hands-on Lab Session: Logical Architecture.
- Students use AI to develop a Logical Architecture for the SEM.
Physical Architecture and Parametrics
Physical Architecture
- Key components and their relationships.
- Using AI to identify components.
- Trade studies.
-
Hands-on Lab Session: Physical Architecture.
- Students use AI to develop a Physical Architecture for the SEM.
Introduction to Parametrics
- How parametrics enhance MBSE.
-
Developing Parametric Models.
- Hands-on exercises with parametric models.
-
Hands-on Lab Session: Parametrics.
- Students use AI to develop Parametric Models for the SEM.
Day Three
Software Development
Microcontroller Code Generation
- AI-driven code generation for microcontrollers.
-
Hands-on Lab Session: Microcontroller Code Generation.
- Students use AI to generate microcontroller code for the SEM.
Database Code Generation
- AI-driven code generation for databases.
- Introduction to MongoDB and MERN Stack.
-
Hands-on Lab Session: Database Code Generation.
- Students use AI to generate database code for the SEM.
User Interface Code Generation
- AI-driven code generation for user interfaces.
- Introduction to React JS.
-
Hands-on Lab Session: User Interface Code Generation.
- Students use AI to generate user interface code for the SEM.
Testing and SysML v2
Testing in MBSE
- Strategies for effective testing.
-
Hands-on Lab Session: Testing.
- Students use AI to develop test cases for the SEM.
Generating SysML v2 Models
- Introduction to SysML v2.
- Benefits and new features.
- Practical examples and exercises.
-
Hands-on Session: Generating SysML v2 Models.
- Guided exercise on generating SysML v2 models.
Requirements
- A basic understanding of Model-Based Systems Engineering (MBSE) and SysML is beneficial.
- Experience with tools such as Cameo Systems Modeler or Sparx Enterprise Architect is beneficial.
- No programming experience is required, though familiarity with microcontrollers, databases, and user interfaces is helpful.
- Familiarity with AI products like ChatGPT is helpful.
- None of the above are strict prerequisites.
Audience
- Systems Engineers
- Software Engineers
- System and Software Engineering Managers
21 Hours
Testimonials (1)
This class presents material that will be disruptive to industry. Those who do not adopt will miss out.
