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Department of Computational Modeling & Simulation EngineeringChair's Welcome

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Welcome to the Department of Computational Modeling and Simulation Engineering. More than a decade after pioneering a successful graduate program and building significant modeling and simulation (M&S) infrastructure, we became the first in the world to offer a Bachelor of Science (B.S.) in M&S Engineering (M&SE). We are fully accredited by the Engineering Accreditation Commission (EAC) of the Accreditation Board for Engineering and Technology (ABET). Our students are recognized engineers with excellent programing and analysis skills that are highly sought after in the workplace.

Our students utilize basic science principles and concepts to create and analyze models of systems in order to improve, optimize, or train with them. M&SE teaches students how to capture an idea in computer-speak and test it out under different real-world conditions using graphs, animations, or virtual reality to view its behavior and investigate what-if questions to make the idea better. We teach how these techniques can be applied within a variety of careers in areas such as medical & healthcare, human & autonomous behaviors, cybersecurity, military, transportation, and serious gaming.

More formally, M&SE focuses on advancing and using the theories and practices of selecting appropriate modeling techniques, designing and building associated models, executing models dynamically over time, utilizing visualizations for verification and validation (V&V), and evaluating a range of possible solutions through analytical techniques; then, applying this knowledge in different domains as outlined above. Because simulation allows easy changes to inputs and configurations that broaden the solution space, differing solutions are produced and one must know how to compare and select the best solution. The result is a curriculum that teaches the fundamental principles and theoretical foundations of M&S and prepares students to enter the workforce as entry-level engineers instilled with the knowledge of model creating and what-if analytics.

I invite you to join us in this exciting field and explore the solution spaces for problems that may be too complex, too costly, or too dangerous to explore by utilizing the real systems themselves. We have an educational curriculum to provide students with a well-rounded foundation that can be used either to advance M&S theories or apply such methodologies to virtually any domain.

Please enjoy browsing our website to learn more about our programs. If you would like more information, please call us at 757-683-3720.

Dr. Yuzhong Shen, Chair

yshen@odu.edu