81 - 90 of 184 results for: ME

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.

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.

Fundamentals of soft materials and soft composites in the aspects of mechanical characterization, polymer physics, mechanics, finite-element-analysis of large deformation, and advanced material fabrication including different 3D printing technologies. Stimuli-responsive soft composites for soft robotics and shape-morphing structures will be introduced. Examples such as material systems that respond to magnetic field, electrical field, pneumatic pressure, light, and heat will be discussed. Prerequisites: ME80

In this course, students will explore feedback control mechanisms that living organisms (cells) implement to execute their function. In addition, students will learn the basics of re-engineering feedback control systems in order for cells to execute new decision making behaviors. The focus will be on molecular level feedback control mechanisms for single cells with mention of cooperative feedback control for multicellular coordination as time permits. We will incorporate principles from Systems Biology, Control and Dynamical Systems Theory with Numerical and Stochastic Simulation. Basic biological mechanisms will be reviewed within the course to provide context and conceptual understanding. Ultimately, students with interest in control theoretic applications will learn how to use notions from control theory to accurately reason about cellular behavior.

What makes a good engineer in today's world? How could I improve my performance as an engineer and a designer? How do I equip myself with the necessary capabilities and mindsets to collaboratively and creatively solve complex problems facing society? This class offers hands-on learning activities to help you answer these questions based on theories and frameworks from decades of research into engineering design and design thinking. The class translates relevant research insights into action for guiding your engineering and design work in practice, focusing on four aspects. First, we will introduce various design processes and methods to help you reflect on your own design process. Then, we will dive into design as a physical activity - understanding prototyping performance improvements. After that, we will focus on design as social activity - practices of effective team behaviors for concept generation, decision-making, conflict-handling and engagement with users. Finally, we will learn design as cognitive activity - gaining actionable insights from cognitive, affective and learning sciences of design. Students engage in multiple projects and a lab component.

This is a seminar on carbon dioxide removal, utilization, and sequestration options, and their role in decarbonizing the global energy system. This course will cover topics including the global carbon balance, utilizing atmospheric carbon in engineered solutions, recycling and sequestering fossil-based carbon, and enhancing natural carbon sinks. The multidisciplinary lectures and discussions will cover elements of technology, economics, policy and social acceptance, and will be led by a series of guest lecturers. This seminar can be repeated for credit.

The ME310ABC sequence immerses students in a real-world, engineering design experience in the spirit of a Silicon Valley start-up, managing the uncertainty inherent in entrepreneurial design. Teams of Stanford graduate students often partner with similar teams at international universities for a global perspective. Design challenges are frequently at the human interface: to robots, transportation devices, manufacturing, or medical technologies ( http://me310.stanford.edu). In ME310A teams integrate corporate and market context, user definitions and need-finding, research on competing technologies, and focused early prototyping to deliver a proposal for detailed design in ME310BC.

ME310BC is a two-quarter continuation of ME310 and typically requires ME310A as a prerequisite. In ME310B the focus is on detailed design and prototyping of novel components and systems, often re-framing the problem and identifying new user populations in light of new information. ME310C focuses on making the design credible from an engineering and business perspective. Teams perform user testing and explore pre-production manufacturing techniques to create their final prototypes. They present their solutions at the EXPE ( http://expe.stanford.edu) and produce a report that documents not only the final solutions but also the alternatives considered. Final reports are archived in the Stanford Engineering Libraries: ME310 Project Based Engineering, Digital Collection.

ME310BC is a two-quarter continuation of ME310 and typically requires ME310A as a prerequisite. In ME310B the focus is on detailed design and prototyping of novel components and systems, often re-framing the problem and identifying new user populations in light of new information. ME310C focuses on making the design credible from an engineering and business perspective. Teams perform user testing and explore pre-production manufacturing techniques to create their final prototypes. They present their solutions at the EXPE ( http://expe.stanford.edu) and produce a report that documents not only the final solutions but also the alternatives considered. Final reports are archived in the Stanford Engineering Libraries: ME310 Project Based Engineering, Digital Collection.