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The following requirements are in addition to, or further elaborate upon, those requirements outlined in the Student Services section of this Web site.
Coursework Requirements
Educating graduate students in predictive science, V&V and Uncertainty Quantification (UQ), and computational design requires substantial, in-depth interdisciplinary training. With the new cluster program, the following three topics constitute the core curriculum, taken by all students in the cluster during the first two years of study.
To receive the fellowship, a Fellow is required to take a minimum of three (3) core courses, one from each of the three core areas.
Modeling, Simulation, and High Performance Computing: This topic introduces the next generation of advanced computational methods for predictive simulation of multiscale, multiphysics phenomena. Topics include molecular dynamics, lattice mechanics, methods of thermodyanmics, statistical mechanics, multiscale modeling, bridging scale methods, supercomputing, etc. Students will also become proficient in computing technology, including numerical computation and the practical use of advanced computer architectures.
Available Courses:
· CIV_ENG 426-1 or 2 Advanced Finite Element Methods, I or II (same as MECH_ENG 426-1 or 2 Computational Mechanics I or II)
· IEMS 435 Introduction to Stochastic Simulation
· MAT_SCI 510 Atomic-Scale Computational Materials Science
· MECH_ENG 317 or 318 Simulation Techniques I, II
Computational Design Methods: This topic provides students across all disciplines a view of using computational techniques (including topics like modeling, simulation, optimization, uncertainty quantification, risk-based decision making) and the simulation-based design paradigm for designing complex “engineered” systems based on predictive models.
Available Courses:
· BMD_ENG 384 Biomedical Computing
· IEMS 465 Simulation Experiment Design and Analysis
· MAT_SCI 390 Materials Design
· MECH_ENG 366 Finite Elements for Design and Optimization
· MECH_ENG 341 Computational Methods for Engineering Design
· MECH_ENG 441-1 Engineering Optimization for Product Design and Manufacturing
Interdisciplinary PSED Seminar: This course will be developed and offered by a team of faculty members who serve as advisors to PSED fellows. In addition to learning techniques to handle uncertainty quantification and basic principles of model verification and validation, students will work in teams on interdisciplinary projects related to the current design focus of PSED.
Full course descriptions and a list of electives that will satisfy cluster requirements are listed on the curriculum page.
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