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Further your background and expertise with a doctor of engineering degree in modeling and simulation. The D. Eng. in Modeling and Simulation program focuses on developing the advanced knowledge and skills to enable the graduate to conduct and lead advanced technical projects in an engineering environment. Graduates will have developed the highest possible capability to provide innovative solutions in modeling and simulation engineering endeavors. They will meet the highest standards for advanced level engineering and leadership positions in industry and government.
Students will have the opportunity to work with our faculty on research projects and gain experience solving real world problems
Students are normally employed full-time in industry, government, or the military in an engineering capacity and have duties related to modeling and simulation. They often are responsible for conducting or leading advanced research and development activities suitable for investigation in an academic environment. They plan to participate in the D. Eng. program on a part-time basis and focus their program project work on job-related problems or investigations.
An introduction to stochastic dependence and Bayesian analysis techniques for conducting modeling and simulation studies. Topics include: measures of dependence, common multivariate distributions, sampling from multivariate distributions, elementary time series models and Bayesian statistics. Prerequisites: MSIM 451 or MSIM 551.
The focus of the course is on identification and investigation of mathematical and logical structures that form the foundation for computational simulation. Topics include: foundations of simulation theory in logic, discrete mathematics, and computability; simulation formalisms, including DEVS; interoperability protocols; and computational complexity.
This course provides detailed numerical step-by-step procedures to exploit parallel and sparse computation under MPI (Message Passing Interface) computer environments. Large-scale engineering/science applications are emphasized. Simultaneous linear equations are discussed.
Students entering the Doctor of Engineering program in Modeling & Simulation Engineering should meet the minimum university admission requirements (Graduate Admission)
Completion of a master's degree in an engineering or science discipline closely related to modeling and simulation
A minimum grade-point-average in graduate course work of 3.5 (4.0 scale); students having a grade-point-average between 3.25 and 3.50 with evidence of exceptional professional accomplishment may be eligible for admission upon petition to the graduate program director
Knowledge of mathematical fundamentals including differential and integral calculus, ordinary differential equations, calculus-based probability and statistics, and linear algebra
Knowledge of computer science fundamentals including an object-oriented programming language such as C++ or JAVA, algorithmic problem solving, and data structures
Estimated rates for the 2021-22 academic year. Rates are subject to change. Anyone that is not a current Virginia resident will be charged non-resident rates. That includes international students.
Our enrollment coordinators are ready to help you through the admissions process.
1113 ENGR & COMP SCI BLDG, NORFOLK, VA, 23529
1000 Rollins Hall, Norfolk, VA 23529
2101 Dragas Hall, Norfolk, VA 23529