Predictive Science and Engineering Design Certificate

Course Requirements:: Core Area 1: PSED Seminar

This is a literature and project combined seminar course focusing on the common principles and techniques underlying Predictive Science and Engineering Design (PS&ED). In addition to learning the fundamental principles and techniques associated with PS&ED, students will work in teams on interdisciplinary projects related to the current design focus of PS&ED.

Course Requirements:: Core Area 2: 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.

Course Requirements:: Core Area 3: 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.

Course Requirements:: Electives (2 required courses)