Modeling and Simulation for Systems Engineering (21hrs)

  • Overview
  • Course Content
  • Requirements & Materials
Overview

Modeling and Simulation for Systems Engineering (21hrs)

Course Description

Simulation is the process of designing a model of a system and conducting experiments to understand the behavior of the system and/or evaluate various strategies for the operation of the system. Modeling and Simulation (M&S) has become an important tool in all phases of the acquisition process, and can be used within most systems' lifecycle processes. In this course, you will explore the foundations of M&S and how it is used in the systems-engineering process.

Course Content

SCIENCE OF M&S

  • Live Virtual Constructive (LVC) simulation
  • Resolution and fidelity
  • Environmental models
  • Human decision making in M&S

SIMULATION AND PROCESS METHODOLOGY

  • M&S development
  • Conceptual modeling
  • Data
  • Verification and validation

M&S IN THE SYSTEMS ENGINEERING LIFE CYCLE

  • Design Issues
  • Interoperability
  • Standards
  • Use cases

FOUNDATIONAL TECHNOLOGIES AND DESIGN ISSUES

  • Discrete event simulation
  • Continuous systems simulation
  • Agent based simulation
  • System dynamic simulation
  • Monte Carlo methods
  • Optimization
Requirements & Materials

Materials

Provided

  • Hard copy of course viewgraphs

Who Should Attend

This course is designed for engineers, scientists, managers, and technicians.

What You Will Learn

  • The modeling and simulation development process
  • The types and uses of data in simulations, as how verification and validation supports simulation use
  • Different types of simulation methodologies: continuous, discrete, Monte Carlo, agent-based, system dynamics, games, and virtual worlds
  • The systems-engineering lifecycle and how models and simulations fit into the process

How You Will Benefit

  • Become familiar with how models and simulations are used in each step of the acquisition process.
  • Recognize when M&S will provide meaningful support to a technical program.
  • Understand the range of simulation methodologies and areas for which they are most applicable.
  • Examine foundational technologies, including design of experiments, system modeling, and optimization.
  • Examine simulation design issues, including how parallel and distributed simulation standards can be used to support the system of system designs.
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    Taught by Experts in the Field

The course schedule was well-structured with a mix of lectures, class discussions, and hands-on exercises led by knowledgeable and engaging instructors.

- Abe Kani
President

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