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Model-Based System Engineering Course
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Model-Based System Engineering Course

Master Model-Based Systems Engineering from foundational principles to enterprise deployment. This course takes you through SysML modeling, requirements traceability, architecture synthesis, and simulation integration using industry-proven frameworks. You will gain the technical depth and practical tools to lead MBSE adoption on real engineering programs.

Dedika for students

What your team will master:

You will build a complete understanding of systems engineering principles and apply them using SysML, the standard modeling language for MBSE. The course covers all nine SysML diagram types, requirements modeling, functional and physical architecture design, and parametric analysis. You will learn how to integrate SysML models with simulation environments and conduct model-based safety and reliability analyses. Agile MBSE practices, collaborative team modeling, and governance strategies are also addressed. By the end, you will be equipped to plan and execute MBSE adoption across complex engineering programs.

How your team learns in practice Model-Based System Engineering Course

How your team practices Model-Based System Engineering Course

Professionals from these companies study at Dedika

ActemiumFR
Nunner LogisticsNL
GT Constructora GeotécnicaCR
Sydel StarBR
Metrô de São PauloBR
Aguas AndinasCL
DSMIN
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CDHCN

Course Content

8 Chapters • 41 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Systems Engineering

  • Lesson 1 • System Architecture Concepts

    Explains functional, logical, and physical architecture layers. Prepares students to represent these layers using formal modeling languages.

  • Lesson 2 • Requirements and Needs Analysis

    Introduces stakeholder needs elicitation and requirements derivation. Establishes the requirements baseline that models must trace to.

  • Lesson 3 • What Is Systems Engineering

    Defines systems engineering scope, purpose, and historical context. Anchors all subsequent MBSE concepts in a shared disciplinary foundation.

  • Lesson 4 • System Lifecycle Fundamentals

    Covers lifecycle phases from concept through disposal. Provides the temporal framework within which MBSE activities are applied.

  • Lesson 5 • Complexity and Emergence in Systems

    Examines how complexity and emergent behavior challenge traditional documentation. Motivates the shift to model-based approaches.

Chapter 2See details

Introduction to Model-Based Systems Engineering

  • Lesson 1 • Benefits and Business Case for MBSE

    Quantifies productivity, quality, and communication gains from MBSE adoption. Equips students to justify MBSE investment to management.

  • Lesson 2 • MBSE Frameworks and Methodologies

    Surveys major MBSE methodologies such as OOSEM, Harmony, and MagicGrid. Students can select an appropriate methodology for a given project context.

  • Lesson 3 • MBSE Definition and Scope

    Precisely defines MBSE and its relationship to the broader SE discipline. Establishes shared terminology used throughout the course.

  • Lesson 4 • Modeling Languages Overview

    Introduces SysML, UML, and domain-specific languages used in MBSE. Prepares students for deep SysML study in subsequent chapters.

  • Lesson 5 • MBSE Tooling Ecosystem

    Maps the landscape of MBSE authoring, simulation, and integration tools. Students understand tool categories and integration patterns before hands-on work.

Chapter 3See details

SysML Language Fundamentals

  • Lesson 1 • Structural Diagrams: BDD and IBD

    Teaches Block Definition Diagrams and Internal Block Diagrams in depth. Students model system composition, ports, and connectors accurately.

  • Lesson 2 • Behavioral Diagrams: Activity and Sequence

    Covers activity flow and message-based interaction modeling. Students capture functional behavior and inter-component communication.

  • Lesson 3 • SysML Packages and Namespaces

    Explains model organization using packages, namespaces, and views. Students structure large models for navigability and team collaboration.

  • Lesson 4 • Behavioral Diagrams: State Machine and Use Case

    Models discrete state-based behavior and system-actor interactions. Completes the behavioral diagram suite introduced in the previous section.

  • Lesson 5 • SysML Architecture and Diagram Types

    Maps the nine SysML diagram types and their organizational hierarchy. Provides the structural overview needed before studying individual diagrams.

  • Lesson 6 • Requirements and Parametric Diagrams

    Formalizes requirements capture and constraint-based analysis in SysML. Students link requirements to model elements and define performance constraints.

Chapter 4See details

Requirements Modeling and Traceability

  • Lesson 1 • Bidirectional Traceability Management

    Maintains consistent traceability from stakeholder needs through verification evidence. Students manage change impact using model-based trace links.

  • Lesson 2 • Eliciting and Structuring Requirements in Models

    Translates stakeholder needs into formal model-based requirements. Builds on lifecycle and requirements basics from Chapter 1.

  • Lesson 3 • Requirements Relationships and Hierarchy

    Models containment, derivation, refinement, and copy relationships. Students construct multi-level requirement hierarchies with correct SysML stereotypes.

  • Lesson 4 • Allocating Requirements to Architecture

    Links requirements to functional and physical architecture elements. Establishes the allocation matrix central to MBSE verification planning.

  • Lesson 5 • Verification and Validation Planning in Models

    Embeds V&V methods and success criteria directly in the requirements model. Connects requirements to test cases and review records within the model.

Chapter 5See details

Functional and Logical Architecture Modeling

  • Lesson 1 • Behavior Modeling at the Logical Level

    Specifies component behavior using state machines and sequence diagrams. Validates that logical components collectively satisfy all functional requirements.

  • Lesson 2 • Modeling Functional Flows and Interfaces

    Captures data, energy, and material flows between functions. Students define interface control data within the model for downstream design use.

  • Lesson 3 • Logical Architecture Design

    Derives logical components from functional analysis and groups them into subsystems. Students apply allocation relationships to connect functions to logical blocks.

  • Lesson 4 • Architecture Consistency and Completeness

    Applies model-checking techniques to detect gaps and inconsistencies. Students use tool-based queries to verify architecture model integrity.

  • Lesson 5 • Functional Decomposition Techniques

    Breaks system functions into hierarchical sub-functions using activity diagrams. Provides the functional baseline for logical and physical architecture derivation.

Chapter 6See details

Physical Architecture and Design Synthesis

  • Lesson 1 • Physical Architecture Derivation

    Allocates logical components to physical hardware, software, and human elements. Builds directly on the logical architecture model from Chapter 5.

  • Lesson 2 • Interface Management and ICDs

    Formalizes interface control data within the model to replace static documents. Students generate interface control documents directly from model data.

  • Lesson 3 • Parametric Modeling for Performance Analysis

    Uses parametric diagrams to evaluate performance, mass, power, and cost budgets. Connects constraint models to simulation tools for quantitative analysis.

  • Lesson 4 • Design Verification Against Requirements

    Confirms that the physical architecture satisfies all allocated requirements. Closes the loop between requirements modeling in Chapter 4 and physical design.

  • Lesson 5 • Design Trade Studies in MBSE

    Structures trade studies using model-captured criteria, alternatives, and scores. Students document and justify design decisions within the model.

Chapter 7See details

Model Integration and Simulation

  • Lesson 1 • Digital Twin Foundations

    Introduces the digital twin concept as an evolution of MBSE simulation. Students map MBSE model elements to digital twin components and data feeds.

  • Lesson 2 • Model Integration Patterns

    Defines strategies for linking SysML models to external analysis tools. Establishes the integration architecture used in subsequent simulation exercises.

  • Lesson 3 • Model-Based Analysis Techniques

    Applies failure mode, reliability, and performance analyses driven by model data. Students generate analysis reports automatically from the system model.

  • Lesson 4 • Executable Models and Simulation

    Transforms SysML behavioral models into executable simulations. Students run scenarios and collect performance data from model execution.

  • Lesson 5 • Validating Models Through Simulation

    Uses simulation results to validate model accuracy against real or expected behavior. Students apply model validation criteria and document findings.

Chapter 8See details

MBSE Deployment and Governance

  • Lesson 1 • Model Governance and Configuration Management

    Establishes policies for model ownership, versioning, and baseline control. Students apply configuration management principles to model repositories.

  • Lesson 2 • MBSE Implementation Roadmap

    Builds a phased plan for MBSE tool, process, and people deployment. Translates readiness assessment findings into actionable milestones.

  • Lesson 3 • Scaling MBSE Across Programs

    Addresses multi-project model reuse, federated models, and enterprise architecture alignment. Students design a model federation strategy for a multi-team program.

  • Lesson 4 • MBSE Maturity and Readiness Assessment

    Evaluates organizational SE maturity and MBSE readiness using structured frameworks. Students identify gaps and prioritize improvement actions.

  • Lesson 5 • Metrics and Continuous Improvement

    Defines MBSE-specific metrics for model quality, coverage, and process efficiency. Students design a measurement program to drive continuous improvement.

Certification

Your valid completion certificate

This course is for you:

  • Systems engineers: ready to replace document-heavy workflows with formal modeling practices.

  • Aerospace or defense engineers: working on complex programs requiring rigorous architecture control.

  • Software engineers: expanding into hardware-software integration and system-level design roles.

  • Engineering managers: seeking to evaluate and sponsor MBSE adoption within their organizations.

  • Recent engineering graduates: building specialized skills that accelerate entry into SE career tracks.

  • Career changers: moving from traditional mechanical or electrical roles into systems engineering positions.

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