Modeling and Simulation for Systems Engineering

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 & Simulation (M&S) has become an important tool in all phases of the acquisition process and can be used within most systems life cycle processes, including requirements analysis, architectural design, design & development, test and verification and operations and maintenance.

Available Classroom Sections

Start Date End Date Registration Deadline Format Location Cost CRN
Section Details Nov 5, 2018 Nov 8, 2018 Monday, November 5, 2018 - 23:59 Classroom Atlanta, Georgia $1,595 18242
View previous sections
View Previous Sections
CRN Start date End date Format Location Cost
14185 Nov 3, 2014 Nov 6, 2014 Classroom Atlanta, Georgia $1,595
15196 Nov 9, 2015 Nov 12, 2015 Classroom Atlanta, Georgia $1,595
16051 Oct 31, 2016 Nov 3, 2016 Classroom Atlanta, Georgia $1,595
17072 Nov 6, 2017 Nov 9, 2017 Classroom Atlanta, Georgia $1,595

Special Discounts

GTRI employees are eligible for a discount on this course.  If you are a GTRI employee, please go to and look under “GT Professional Development” for a coupon code to use when checking out.

Note: Coupon codes must be applied during checkout and cannot be redeemed after your checkout is complete. Only one coupon code can be used per shopping cart.

Who Should Attend

Engineers, scientists, managers and technicians 

How You Will Benefit

  • Describe fundamental systems engineering principles.

  • Understand the phases of the systems engineering life cycle.

  • Explore systems engineering processes.

  • Explain 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 how to plan for effective M&S.

  • 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 system of system designs.


  • Modeling & simulation development process

  • Fidelity, accuracy and resolution of models

  • Verification and validation in systems engineering

  • Reference architectures

  • Systems modeling language (SysML)

  • Simulation methodologies: Continuous, discrete, Monte Carlo, agent-based, system dynamics, games and virtual worlds

  • System engineering life cycle

  • Design of Experiments, surrogate modeling and optimization

  • Simulation ROI

  • Distributed simulation standards

  • Case studies of M&S in acquisition process 

For Course-Related Questions

Please contact the course administrator: Renita Folds