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21 - 30 of 40 results for: ME 1: Introduction to Mechanical Engineering

ME 283: Introduction to Biomechanics and Mechanobiology

Introduction to the mechanical analysis of tissues (biomechanics), and how mechanical cues play a role in regulating tissue development, adaptation, regeneration, and aging (mechanobiology). Topics include tissue viscoelasticity, cardiovascular biomechanics, blood rheology, interstitial flow, bone mechanics, muscle contraction and mechanics, and mechanobiology of the musculoskeletal system. Undergraduates should have taken ME70 and ME80, or equivalent courses.
Terms: Spr | Units: 3

ME 287: Mechanics of Biological Tissues

Introduction to the mechanical behaviors of biological tissues in health and disease. Overview of experimental approaches to evaluating tissue properties and mathematical constitutive models. Elastic behaviors of hard tissues, nonlinear elastic and viscoelastic models for soft tissues.
Terms: Aut | Units: 4

ME 300C: Introduction to Numerical Methods for Engineering (CME 206)

Numerical methods from a user's point of view. Lagrange interpolation, splines. Integration: trapezoid, Romberg, Gauss, adaptive quadrature; numerical solution of ordinary differential equations: explicit and implicit methods, multistep methods, Runge-Kutta and predictor-corrector methods, boundary value problems, eigenvalue problems; systems of differential equations, stiffness. Emphasis is on analysis of numerical methods for accuracy, stability, and convergence. Introduction to numerical solutions of partial differential equations; Von Neumann stability analysis; alternating direction implicit methods and nonlinear equations. Prerequisites: CME 200/ ME 300A, CME 204/ ME 300B.
Terms: Spr | Units: 3
Instructors: Mani, A. (PI)

ME 302B: The Future of the Automobile- Driver Assistance and Automated Driving

This course provides a holistic overview over the field of vehicle automation. The course starts with the history of vehicle automation and then introduces key terminology and taxonomy. Guest lecturers present the legal and policy aspects of vehicle automation both on the federal and state level. Then, the state of the art in vehicle automation is provided. This includes sensor and actuator technology as well as the driver assistance technology in cars today. Finally, the technology currently being developed for future highly and fully automated vehicles is described, including a high-level introduction of the software and algorithms used as well as HMI and system aspects. Students are asking to work in groups on a current topic related to vehicle automation and present their findings in the final two classes in a short presentation.
Terms: Win | Units: 1 | Repeatable for credit
Instructors: Becker, J. (PI)

ME 304D: Designing Your Life

The course employs a design thinking approach to help fellows develop a point of view about their life and career. The course focuses on an introduction to design thinking, the integration of work and worldview, and practices that support vocation formation. Includes seminar-style discussions, role-playing, short writing assignments, guest speakers, and individual mentoring and coaching. Open to DCI (Distinguished Career Institute) Fellows only. Additional course information at http://www.designingyourlife.org.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit
Instructors: Evans, D. (PI)

ME 313: Human Values and Innovation in Design

Introduction to the philosophy and practice of the Design Impact program. Hands-on design projects are used as vehicles for learning design thinking's tools and methodology. The relationships among technical, human, aesthetic, and business concerns, and drawing, prototyping, and story-telling a will be explored. The focus is on design thinking process and mindsets including: empathy, point of view, ideation, prototyping and testing. For master's students in the Design Impact program only. For a general introduction to design thinking, see ME 377: Design Thinking Studio, taught Autumn and Winter quarters.
Terms: Aut | Units: 3
Instructors: Burnett, W. (PI)

ME 320: Introduction to Robotics (CS 223A)

Robotics foundations in modeling, design, planning, and control. Class covers relevant results from geometry, kinematics, statics, dynamics, motion planning, and control, providing the basic methodologies and tools in robotics research and applications. Concepts and models are illustrated through physical robot platforms, interactive robot simulations, and video segments relevant to historical research developments or to emerging application areas in the field. Recommended: matrix algebra.
Terms: Win | Units: 3
Instructors: Khatib, O. (PI)

ME 336: Discontinuous Galerkin Methods for Fluid-Flow Simulations

This course is designed to provide an introduction to discontinuous Galerkin (DG) methods and related high-order discontinuous solution techniques for solving partial differential equations with application to fluid flows. The course covers mathematical and theoretical concepts of the DG-methods and connections to finite-element and finite-volume methods. Computational aspects on the discretization, stabilization methods, flux-evaluations, and integration techniques will be discussed. Problems and examples will be drawn from advection-reaction-diffusion equations, non-linear Euler and Navier-Stokes systems, and related fluid-dynamics problems. As part of a series of homework assignments and projects, students will develop their own DG-method for solving the compressible flow equations in complex two-dimensional geometries.
Terms: Aut | Units: 3
Instructors: Ihme, M. (PI)

ME 338: Continuum Mechanics (CEE 312)

Introduction to vectors and tensors: kinematics, deformation, forces, and stress concept of continua; balance principles; aspects of objectivity; hyperelastic materials; thermodynamics of materials; variational principles. Prerequisite: CEE 291 or equivalent.
Terms: Spr | Units: 3
Instructors: Linder, C. (PI)

ME 339: Introduction to parallel computing using MPI, openMP, and CUDA (CME 213)

This class will give hands-on experience with programming multicore processors, graphics processing units (GPU), and parallel computers. The focus will be on the message passing interface (MPI, parallel clusters) and the compute unified device architecture (CUDA, GPU). Topics will include multithreaded programs, GPU computing, computer cluster programming, C++ threads, OpenMP, CUDA, and MPI. Pre-requisites include C++, templates, debugging, UNIX, makefile, numerical algorithms (differential equations, linear algebra).
Terms: Win | Units: 3
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