Length: 3 Days
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Digital Engineering Training, MBSE Fundamentals for DoD

Digital Engineering training, MBSE Fundamentals for DoD. Digital Engineering (DE) (also known as model-based engineering or model-based systems engineering) helps to streamline the way defense programs collect, retain, and share data.

The interplay between Digital Engineering (DE) and Model Based Systems Engineering (MBSE) has been a focal point for the U.S. Department of Defense (DoD).

Who Should Attend

This course is designed for modelers, systems engineers, hardware and software design engineers, managers, acquisition professionals, and employees with little or no Digital Engineering/MBSE experience. The course is also useful for those who have experience with Digital Engineering/MBSE but have never had any formal training.

What You Will Learn

  • An overview of the Digital Engineering (DE) and Model Based Systems Engineering (MBSE)
  • Analyzing digital engineering/MBSE processes, what modelling tools are used in digital engineering/ MSBE,
  • A list of Digital Engineering tools and applications
  • How to implement Digital Engineering with MBSE
  • How digital engineering/MBSE can be integrated into the project management,
  • An overview of system engineering and modeling with MBSE
  • How to model, architect and design a system using Digital Engineering and MBSE
  • An overview of System Markup Language (SysML)
  • An overview of Mission Engineering using DoDAF/UPDM/UAF and System/System of Systems (SoS) engineering and modeling with MBSE with SysML
  • How digital engineering/MBSE is used in different vertical for example avionics, space engineering, System of Systems (SoS), EW/SIGINT, combat systems engineering, TDLs, C4ISR, networking and telecommunications systems engineering.

Course Content

Introduction to Systems Engineering (SE) and Digital Engineering

  • SE and Management
  • Applications of Systems Engineering
  • Enabling Systems Engineering
  • Formalize the development, integration
    and use of models
  • Enterprise and program decision making
  • Technological innovation to improve the engineering practice
  • Foundation of Digital Engineering
  • Culture and workforce to support digital engineering

Lifecycle SE Transformation with Digital Engineering and MBSE

  • Model-Based Systems Engineering (MBSE)
  • Overview of Systems Modeling Language (SysML)
  • Transitioning Systems Engineering to a Model-based Discipline
  • SE Implementation and Digital Engineering Case Studies and Examples
  • MBSE Best Practices
  • Requirements Engineering with MBSE
  • Model-based Testing and Evaluation

Digital Engineering and System Architecture and Modeling

  • Models, Simulations, and Digital Engineering
    in Systems Engineering with MBSE and SysML
  • Modeling and Simulation (M&S) for Systems Engineering
  • Preparing for Digital Engineering Modeling and Simulation (M&S)
  • Activities to Advance Digital Engineering
  • Stove-piped models and data sources
  • Acquisition Considerations and Digital Engineering Ecosystem

DoD Enterprise and System Architecture with Digital Engineering and MBSE

  • Creating complex defense systems
  • Digital, collaborative, model-based systems engineering environments
  • DoD’s MBSE and digital representations of systems and components
  • Understanding and evaluations, transforming engineering from a design-build-test to a model-analyze-build approach
  • Initiative / Framework System Structure Dependencies
  • Mission Engineering System of Systems (SoS) Architecture
  • DoD Digital Engineering System Process
  • Architecture
  • Process Interfaces and Flow
  • System Development using MBSE
  • MBSE Engineered System
  • Design Architecture
  • Physics-Based Element
  • DoD Digital Engineering (DE) Initiatives


Workshop 1:  Architecture Modeling with SysML

  • Architecture and Models using Digital Engineering, MBSE and SysML
  • Digital Engineering Models of Complex Systems using Model-Based Systems Engineering (MBSE)
  • From Enterprise Architecture (EA) to Systems of Systems (SoS) Architectures & Systems Development Life Cycle (SDLC)
  • Creating, capturing and integrating data with Digital Engineering, MBSE and System
  • Modeling System Architecture
  • Architecture Design
  • Patterns and Tactics
  • Evaluating System Architecture
  • Role of Architecture in Agile Projects
  • Concept and Architecture Development Process
  • Solution Concepts
  • Concept and Architecture Development
  • Selecting Architectures
  • Hierarchical Architecture Development
  • Solution Development Process
  • Architecture Selection Criteria
  • Viewpoints, Views, and Artifacts

Workshop 2: System Architecture with MBSE and SysML

  • Complex System Architecture and Design
  • Modeling Analysis and Requirements
  • Modeling System Architecture and Design
  • System Architecture Best Practices
  • Requirements, High Level Design, and Architecture
  • Traceability for Architecture Elements
  • System Functional Flows (i.e., System Architecture)
  • System Requirements Traceability
  • System and Organizational Process Flows
  • Sub-system Requirements to System Level Requirements Traceability
  • Establishing Structure of the User Model using Packages and Views (Package Diagram)

Working with SysML Diagrams

  • Packages (pkg)
  • Use Cases (uc)
  • Activity Diagram (act)
  • Block Definition Diagram (bdd)
  • Connectivity (Cn)
  • Constrains (Ct)
  • Information (If)
  • Interaction Scenarios (Is)
  • Internal Block Diagram (ibd)
  • Parameters (Pm)
  • Parametric Diagram (par)
  • Processes (Pr)
  • Requirement Diagram (req)
  • Requirements (Req)
  • Sequence Diagram (sd)
  • State Machine Diagram (stm)
  • States (St)
  • Structure (Sr)
  • Summary & Overview (Sm-Ov)
  • Taxonomy (Tx)

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