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Further your background and expertise with a PhD in modeling and simulation. This is a rigorous research program designed to train individuals for careers in teaching and research in the public or private sector. Students will have the opportunity to work with our faculty on research projects and gain experience solving real world problems.
Opportunity to work with faculty on research projects and gain experience solving real world problems
The purpose of the course is to provide an understanding of the finite element method (FEM) as derived from an integral formulation perspective. The course will demonstrate the solutions of (1-D and 2-D) continuum mechanics problems such as solid mechanics, fluid mechanics and heat transfer. Prerequisites: permission of the instructor.
Principles of combat modeling and simulation. Introduction including history, basic definitions, and best practice. Algorithms for modeling movement, sensing effects and behavior. Overview of modern combat models. Interoperability and integration into operational environments. Prerequisites: MSIM 603.
The course covers the theory and techniques for building effective and efficient synthetic environments for modeling and simulation applications. Topics include physics, artificial intelligence, virtual reality, and advanced modeling and rendering. The emphasis is on producing visually realistic synthetic environments based on effective approximations of physics and other related principles. Prerequisites: MSIM 541 or equivalent.
Students entering the Doctor of Philosophy program in Modeling & Simulation Engineering should meet the minimum university admission requirements (Graduate Admission)
Master's degree in an engineering or science discipline closely related modeling and simulation
A minimum grade-point-average in graduate course work of 3.5 (4.0 scale)
Kowledge of mathematical fundamentals including differential and integral calculus, ordinary differential equations, calculus-based probability and statistics, and linear algebra
Knowledge of computer sciences fundamentals including an object-oriented programming language such as C++ or JAVA algorithmic problem solving, and data structures
Estimated rates for the 2022-23 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.
1318 ENGR & COMP SCI BLDG, NORFOLK, VA, 23529
1000 Rollins Hall, Norfolk, VA 23529
2101 Dragas Hall, Norfolk, VA 23529
ODU commemorated the inauguration of President Brian O. Hemphill, Ph.D., during Homecoming Weekend 2022. Relive the historic weekend.
It's time to fall in love with ODU! Join us for our last Open House event of the semester on Saturday, November 19.
Visit the Commencement Office for information on event times, caps & gowns, tickets and more!