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PSED 510 Predictive Science and Engineering Design Cluster Seminar (1): This is a literature and project combined seminar course focusing on the common principles and techniques underlying Predictive Science and Engineering Design (PS&ED). As an emerging paradigm, PS&ED enables a new level of integration of science and engineering by the deliberate transformation of scientific knowledge from a descriptive to a predictive form. The enrichment of this paradigm is critical to the simulation and design of innovative, complex “engineered” systems in a variety of applications across such diverse domains as microsystems, biological systems, energy generation and consumption systems, to efficient manufacturing. Students will work in teams on interdisciplinary projects related to the current design focus of Predictive Science and Engineering Design (PSED) cluster. Prerequisites: graduate standing
Related Courses
BMD_ENG 366 Biomechanics of Movement (1): Detailed analysis of human and animal movement. Modeling of muscle and tendon, kinematics of joints, and dynamics of multijoint movement. Applications of the theory to biomechanical problems in sports, rehabilitation, and orthopedics. Current issues in biomechanical research are reviewed. Prerequisites: Permission of instructor.
BMD_ENG 384 Biomedical Computing (1): Principles of modern (computer-based) medical instrumentation, including analog-vs-digital design tradeoffs, efficient digital filter designs and algorithms for physiological signal processing, automated event recognition, and classification. Hardware and software design of microcomputer-based medical instruments. Examples of specific applications. Prerequisites: Permission of instructor.
BMD_ENG 420 Biostatistics for Experimenters (1): Statistical methods for the design and analysis of experiments including randomization and blocking, Latin squares, factorial designs, sequential designs, analysis of variance, regression analysis, response surfaces, empirical and mechanistic model building.
CIV_ENG 426-1,2 Advanced Finite Element Methods I, II (1)(1): Methods for treating material and geometric nonlinearities by finite elements; transient analysis: explicit and implicit time integration, partitioned methods, and stability; hybrid and mixed elements; finite elements for plates and shells; convergence, efficiency, and computer implementation.
EECS 358 Introduction to Parallel Computing (1): Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming. Prerequisites: EECS 361.
EECS 467 Parallel and Distributed Database Systems (1): File allocation and load balancing in parallel I/O systems. Distributed, scalable file systems. Declustering and range partitioning. Parallel processing of relational queries: sort, clustering and join algorithms. Distributed database systems architectures. Query processing in distributed database systems; simple queries; using semi-joins and joins for general queries. Prerequisites: EECS 339 and EECS 336.
IEMS 401 Intermediate Statistics (1): Linear model theory with application to multiple regression and analysis of variance. Statistical inference methods including likelihood estimation and testing, resampling and the Bayesian approach.
IEMS 435 Introduction to Stochastic Simulation (1): Discrete event simulation modeling. Design and analysis of simulation experiments. Simulation programming in standard languages. Applications to manufacturing and services. Prerequisites: IEMS 302 and IEMS 303, or equivalent.
IEMS 465 Simulation Experiment Design and Analysis (1): Point of error estimation, experiment design, run-length control, variance reduction, optimization via simulation, and input modeling for discrete-event stochastic simulation. Prerequisites: IEMS 435 and IEMS 560-1, or equivalent.
MAT_SCI 390 Materials Design (1): Analysis and control of microstructures. Quantitative process/structure/property/performance relations with case studies. Computer lab for modeling multicomponent thermodynamics and transformation kinetics.
MAT_SCI 510 Seminar (1): Topics may be suggested by students or faculty, with the approval of the department.
MECH_ENG 317 Molecular Modeling and the Interface to Micromechanics (1): Introduction to modern computational methods for calculating thermodynamic, transport, and structural properties of materials. Computational chemistry, molecular simulation, and mesoscopic methods, with emphasis on tribology applications.
MECH_ENG 318 Multiscale Simulations (1): Multiscale simulation methods for material interactions in micro/nano systems, including molecular dynamics,discrete continuum, coupled molecular dynamics and continuum mechanics, and nano- and microscale experiments. Lectures and labs.
MECH_ENG 341 Computational Methods for Engineering Design (1): Introduction to a wide range of computational techniques for engineering design. Modeling, simulation, optimization, design software, examples/projects with emphasis on computational techniques for design and manufacturing related applications. Prerequisites: Graduate standing, senior undergraduate, or permission of instructor.
MECH_ENG 359 Reliability Engineering (1): Probability concepts and random variables. Failure rates and reliability testing. Wear in, wear out, and random failures. Probabilistic treatment of loads, capacity, and safety factors. Reliability of redundant and of maintained systems. Fault tree analysis.
MECH_ENG 366 Finite Elements for Design and Optimization (1): Numerical methods for interactive and optimal CAD. Terminology, fully stressed design, design sensitivity analysis and descent methods, optimality criteria to automated design, and gradient projection methods in nonlinear programming and computer implementations. Prerequisites: MECH_ENG 365-1.
MECH_ENG 382 Experiments in Micro/Nano Science and Engineering (1): Integrates physical and biological sciences with engineering. Labs provide hands-on experience in clean room microfabrication, flow visualization in microchannels, nanomechanics, AFM and dip pen nanolithography, multi-physics computational tools, and experimental evaluation techniques.
MECH_ENG 432 Optimization Methods in Science and Engineering (1): Extremizing multivariate functions, the functional and its variation, Euler-Lagrange equations, isoperimetric problems, applications to optics, mechanics, potential theory, fluid mechanics, wave theory and elasticity.
MECH_ENG 441-1 Engineering Optimization for Product Design and Manufacturing (1): Introduction to optimization theory and numerical techniques. Formulations, algorithms, computer implementation, examples/projects with emphasis in numerical and emerging techniques for design and manufacturing related applications. Prerequisites: Graduate standing, senior undergraduate, or permission of instructor.
MECH_ENG 442 Metal Forming (1): Metal forming processes: drawing, extrusion, rolling, forging, and sheet metal forming. Process analysis and design: force estimation, friction and redundant work effects, temperatures generated, defects, and process and equipment limitations.
MECH_ENG 451 Micromachining (4): Fundamental fabrication issues for microscale components used in MEMS/Nanotechnology. Understand and designing microfabrication processes based on photolithography and deposition/etching steps.
MECH_ENG 453 Micro Systems Design (4) : Theory and tools for analyzing and designing microsystems used in MEMS/Nanotechnology. Includes device physics and analysis, design techniques, and computer-aided design tools for micro systems technology.
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