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Gas Cloud Simulation

A simulation of how a gas cloud that has been observed approaching the supermassive black hole at the centre of the galaxy.

Advanced Test Reactor Simulation

Advanced simulation capabilities can model reactors, such as INL's Advanced Test Reactor shown here, from atomic scales to full-sized reactor assemblies.

Underwater EVA Simulation

Underwater simulation of extravehicular activity (EVA).

Combat Simulation

A screen capture depicts a combat situation in a digital world during a command post exercise inside the Joint Multinational Simulations Center.

Motorcycle Simulator

Testing motorcycle simulator at the Pentagon to get a feel for how the bike would handle some situations.

Wake Turbulence Simulation

Wake turbulence simulation for an Airbus A340 on final approach, just before touchdown.

Driving Conditions Simulator

View from the cockpit of the simulator. Multiple screens provide a view similar to what one would see in a snowplow on the road.

Molecules Simulation

Dynamic computer simulations of molecular systems.

Global Aerosols Simulation

This portrait of global aerosols was produced by a Goddard Earth Observing System Model, Version 5 (GEOS-5) simulation at a 10-kilometer resolution.

Driving Simulation

Simulation for driving training.

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Special Interest Group (SIG) on SImulation and Modeling (SIM)
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Introduction to Modeling and Simulation


Osman Balci

Department of Computer Science
Virginia Polytechnic Institute and State University (Virginia Tech)
Blacksburg, VA 24061, USA


Course Outline


  • Orientation to course. Explanation of intent of course and procedures
  • Introduction
  • M&S Fundamentals: Concepts of Models and Systems, Concepts of Modeling, Classifications of Models
  • Solving Problems Using Monte Carlo Simulation
  • M&S Life Cycle (a blueprint, a detailed plan or a program of action for conducting an M&S project)
  • Verification and Validation (V&V) and Quality Assurance (QA) throughout the M&S life cycle
  • Problem Formulation
  • M&S Requirements Engineering
  • Simulation Conceptual Modeling
  • Architecting a Network-Centric M&S Application
  • Design of an M&S Application
  • Simulation Input Data Modeling
  • M&S Implementation / Programming
  • Random Number Generation
  • Random Variate Generation
  • Simulation Programming Conceptual Frameworks
  • Experimentation with, Exercise or Use of an M&S Application
  • Presentation of M&S Project Results
  • Certification of an M&S Application
  • Storage of Certified M&S Applications
  • Feedback on Use of a Certified M&S Application
  • Principles of Verification, Validation, Quality Assurance, and Certification of M&S Applications
  • M&S Verification, Validation, and Testing Techniques


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