Training- Systems Engineering, Software Engineering

Course Objective:

If you've ever wondered why most SysML models pretend that software doesn't exist, this class is for you. Watch "Without Software there is no System" on YouTube. At the end of this 5-day class, students will be familiar with "the four pillars of SysML"(Requirements, Structure, Behavior and Parametrics), and will also know how to structure their SysML models to account for software, then generate User Interface Code from Behavior Models, Database Code from Structure Models, and Microcontroller Code from State Machines. Watch an in-depth description of AIM Training on YouTube.

Importantly, you'll learn how to use AI as a "subject matter expert" in defining the system/software model. Students will model a Scanning Electron Microscope (both hardware and software) as their lab exercise, learning how to ask the right questions (i.e. prompts) to get help from AI in constructing the model. You can read our FAQ including pricing info here.

5 DAY COURSE AGENDA

Monday

AI Assisted MBSE Course Overview

Unified Hardware/Software Modeling

Object-Oriented Design vs Functional Decomposition

Impact of AI on System and Software Modeling

Using AI as a Subject Matter Expert

Introduction to the Electron Microscope Example

Introduction to SysML v2

Tuesday

Understanding the Problem (Stakeholder Needs)

Leveraging AI's domain knowledge

Domain Modeling

Use Case Modeling

Requirements Modeling

Measures of Effectiveness

Wednesday

Structure Modeling (Logical Architecture)

Using AI to drive Subsystem Modeling

Updating Requirements for each Subsystem

Block Definition Diagrams (BDDs) for Logical Architecture

Interface Blocks and Signals

Internal Block Diagrams

Using AI for Database Design and Code Generation

Thursday

Behavior Modeling

Using Activity Diagrams to identify Alternate and Exception Behavior

Updating Requirements to consider Alternate and Exception Behavior

Using Sequence Diagrams to Allocate Operations and Signal Receptions to Blocks

Using AI for User Interface Code Generation

Friday

State Machines, Parametrics and Physical Architecture

Using AI to define State Machines for Subsystems

State Machine Simulation

AI Assisted Component Selection

Constraint Blocks, Parametric Analysis and Trade Studies

Using AI for Embedded, Real-Time Code Generation

Test Case Generation

Courses Available

Introduction to Parallel Agile

Managing parallel development
Simplifying the Spiral Model
Domain-Driven Design, and Design Driven Testing
Using CodeBot - generate a full-stack application from your domain model
How to accelerate your project's schedule by deploying large teams working in parallel, with tactical use of CodeBot to move rapidly from a working proof-of-concept to production-ready software

Use Case Driven Object Modeling (aka ICONIX Process)

Requirements definition - domain modeling, use case modeling
Conceptual design - robustness analysis, preliminary design review
Design and coding - critical design review, getting from detailed design to code, code review and model update
Testing and requirements traceability (Design Driven Testing)

Intro to SysML: Modeling Software Intensive Systems

The Four Pillars of SysML - Requirements, Structure, Behavior, Parametrics
From system concept to requirements
Modeling the system block structure and system behavior
Defining constraints and parameters
Simulating the model
Implementing and testing the modeled hardware and software