James E. Coolahan, Ph.D., retired from full-time
employment at the Johns Hopkins
University Applied Physics Laboratory
(JHU/APL) after 40 years of service. He
currently chairs the M&S Committee of
the Systems Engineering Division of the
National Defense Industrial Association,
and teaches courses in M&S for
Systems Engineering in the JHU Engineering for
Professionals M.S. program. He holds B.S. and M.S.
degrees in aerospace engineering from the University
of Notre Dame and the Catholic University of America,
and M.S. and Ph.D. degrees in computer science from
JHU and the University of Maryland.
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What You Will Learn:
- Define and distinguish key modeling and simulation
- Describe the types of M&S tools used in the phases
of the systems engineering process.
- Distinguish between key elements of simulations of
system performance and effectiveness.
- Explain the use of the eXtensible Markup Language
(XML), and the Unified and Systems Modeling
Languages (UML and SysML).
- Describe the use of simulation interoperability
standards, such as the High Level Architecture.
- Illustrate an architecture for a collaborative simulation
environment consisting of simulation applications,
environmental representations, data repositories,
and user interfaces.
- Views and Categories of Models
and Simulations. Resolution, Aggregation, and Fidelity.
Overview of the Model/Simulation Development Process.
Important M&S-Related Processes. M&S as a Professional
Needs vs. Opportunities for New or Improved Systems. The U.S.
Military Process for Capabilities-Based Assessment.
Commercial System Processes. M&S Use in Operational
Analysis, Functional Analysis, and Feasibility Determination.
M&S in System Needs and Opportunities Analysis.
Effectiveness Simulations and Their Components. Analyses of
Alternatives. Ensuring a “Level Playing Field”. System
Effectiveness Simulation Examples.
M&S in Concept Exploration and Evaluation.
- Range of Engineering
Disciplines Needed for System Design and Development
Simulations. Simulating Interactions between System
Components. Time Management in Simulations Interacting at
Run-Time. Examples of Interacting Simulations for Design and
M&S in Design and Development.
Use during Integration. Planning for Use of Models and
Simulations during T&E. Simulation Use During Testing. Post-
Test Evaluation Using Models and Simulations.
M&S in Integration and Test & Evaluation.
- Planning for Use
of Models and Simulations During Production. Model and
Simulation Use During Production. Systems Operation
Simulations. Reliability Modeling, Logistics Simulations, and
Ownership Cost Modeling.
M&S in Production and Sustainment.
- XML, UML,
and SysML. History and Characteristics of Markup and
Modeling Languages. The eXtensible Markup Language (XML).
The Unified Modeling Language (UML). The Systems Modeling
Basic Markup and Modeling Languages:
- The History of Interoperable Simulation. Why the High Level Architecture (HLA) is Important for Systems Engineering.
Components of the HLA Standard. HLA Time Management. The
Distributed Simulation Engineering and Execution Process
Interoperable Simulation - the High Level Architecture
- Differentiating Live, Virtual, and Constructive
Simulations – A Review. Why LVC Simulation Federations Are
Important for Systems Engineering. Simulation Standards for
LVC Simulations. Issues Encountered in LVC Simulation
Federations, and Efforts to Mitigate Them.
Live-Virtual-Constructive (LVC) Simulation
- Background: Studies on M&S for System
Acquisition. Definition of a Collaborative Simulation Environment
(CSE). Characteristics of a CSE. A Reference Model for a CSE.
Examples of CSE Architectures.
Collaborative Simulation Environments for Systems
Definitions: Repository, Catalog, and Registry. Issues in the
Discovery and Reuse of M&S Assets. Desired Features for
Repositories. Metadata (Data About the Data), with an Example.
Catalog and Repository Examples. Putting Collaborative
Environments and Repositories Together for Systems
M&S Asset Repositories - Construction and Use.
- Definition of the
Natural Environment. Overview of the Air, Ground, Maritime, and
Space Environments. Separating the Natural Environment from
Sources and Sensors. Issues in Aggregation of Natural
Environment Representations. Environmental Modeling
Modeling the Natural Environment.
- Definition of a
Man-Made Environment. Distinguishing the Man-Made
Environment from the Natural Environment and Friendly/Threat
Systems. Some Man-Made Environment Modeling Examples.
Man-Made Environment Modeling Standards: Shapefiles.
Modeling the Man-Made Environment.
Acquisition M&S Research Areas. Model Based Systems
Engineering (MBSE) and Model Based Engineering (MBE).
Levels of Interoperability, and Moving from Syntactic to
Semantic. Simulation Composability.
The Future of M&S in Systems Engineering.
Tuition for two two day course is $1290 per person at one of our scheduled public courses. Onsite pricing is available. Please call us at 410-956-8805 or send an email to ATI@ATIcourses.com.
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