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41 - 50 of 195 results for: ME

ME 220: Introduction to Sensors

Sensors are widely used in scientific research and as an integral part of commercial products and automated systems. The basic principles for sensing displacement, force, pressure, acceleration, temperature, optical radiation, nuclear radiation, and other physical parameters. Performance, cost, and operating requirements of available sensors. Elementary electronic circuits which are typically used with sensors. Lecture demonstration of a representative sensor from each category elucidates operating principles and typical performance. Lab experiments with off-the-shelf devices. Recommended Pre-requisites or equivalent knowledge: Physics 43 electromagnetism, Physics 41 mechanics, Math 53 Taylor series approximation, 2nd order Ordinary Diff Eqns, ENGR40A/Engr40 or ME210, i.e. some exposure to building basic circuits
Terms: Spr | Units: 4

ME 223: Applied Robot Design for Non-Robot-Designers: How to Fix, Modify, Design, and Build Robots

Students will learn how to design and build the mechanical hardware of robots. The goal is to take people with minimal robot-building experience and have them building professional-quality robots by the end of the quarter. The course will consist of three labs and a final project, each of which will entail building an interesting robotic device. Topics include robot actuators, sensors, transmissions, rotary and linear motion, standard mechanisms, electronics, high-level software design, and safety. Some experience with Python and/or C++ is preferred.
Last offered: Autumn 2022

ME 225: Scaling Up

Scaling Up is intended for design and engineering-oriented students who anticipate or have an interest in launching products. Where the cousin of this class, ME219, is an overview of fabrication and factory systems, this course explores how to go from vision to reality, and from parts to products. We'll explore the systems that enable us to design and produce high-quality products, at scale, at reasonable prices, including quality systems, supply chains, and different ways of conveying intent to factories. Students will acquire a professional foundation in the business of manufacturing through readings, in-class discussion, and roughly one-a-week team projects.
Terms: Spr | Units: 3

ME 226: Data Literacy in Mechanical Design Engineering

Fluency with data elevates your impact as a mechanical designer by driving quantitative design choices, rich analyses, and crisp communication. This course demystifies fundamentals like tolerance analyses and failure modes effects analyses. We will use interferential statistics to determine process sensitivity, and calculate if processes are capable within specification limits. Later we will wrangle large datasets in Python to produce rich visualizations and control recommendations. Finally, we will generate a discrete event simulation of an automated manufacturing line to increase production capacity.
Last offered: Autumn 2021

ME 228: The Future of Mechanical Engineering (CS 226)

This seminar series provides an overview of current and emerging research topics in mechanical engineering and its application to engineering and scientific problems. The seminar is targeted at senior mechanical engineering undergraduates and mechanical engineering graduate students. Presenters will be selected external speakers who feature exciting and cutting-edge research of mechanical engineering.
Last offered: Winter 2023

ME 228T: The Future of Mechanical Engineering Education

This seminar series provides an overview of current and emerging topics in Mechanical Engineering education. It is targeted at undergraduate and coterminal Master's students in Mechanical Engineering. Presenters will be selected external speakers who feature exciting and cutting-edge teaching activities in Mechanical Engineering.
Last offered: Winter 2023

ME 233: Automated Model Discovery

Fundamentals of physics-based modeling and deep learning; deep neural networks, recurrent neural networks, constitutive artificial neural networks; Bayesian methods; training, testing, and validation; prediction and uncertainty quantification; soft materials and living matter; discovering models, parameters, and experiments to best explain soft matter systems. Prerequisite: ME80.
Terms: Win | Units: 3

ME 234: Introduction to Neuromechanics

Understanding the role of mechanics in brain development, physiology, and pathology. Mechanics of brain cells: neurons, mechanobiology, mechanotransduction. Mechanics of brain tissue: experimental testing, constitutive modeling, computational modeling. Mechanics of brain development: gyrification, cortical folding, axon elongation, lissencephaly, polymicrogyria. Mechanics of traumatic brain injury: high impact loading, neural injury. Mechanics of brain tumors, brain cancer, tumor growth, altered cytoskeletal mechanics. Mechanics of neurological disorders: autism, dementia, schizophrenia. Mechanics of brain surgery.
Last offered: Autumn 2022

ME 235: Biotransport Phenomena (APPPHYS 235, BIOE 235, BIOPHYS 235)

The efficient transport of energy, mass, and momentum is essential to the normal function of living systems. Changes in these processes often result in pathological conditions. Transport phenomena are also critical to the design of instrumentation for medical applications and biotechnology. The course aims to introduce the integrated study of transport processes and their biological applications. It covers the fundamental driving forces for transport in biological systems and the biophysics across multiple length scales (molecules, cells, tissues, organs, whole organisms). Topics include chemical gradients, electrical interactions, fluid flow, mass transport. Pre-requisites: Calculus, MATLAB, basic fluid mechanics, heat transfer, solid mechanics.
Last offered: Winter 2023

ME 236: Tales to Design Cars By

Students learn to tell personal narratives and prototype connections between popular and historic media using the automobile. Explores the meaning and impact of personal and preserved car histories. Storytelling techniques serve to make sense of car experiences through engineering design principles and social learning, Replay memories, examine engagement and understand user interviews, to design for the mobility experience of the future. This course celebrates car fascination, and leads the student through finding and telling a car story through the REVS photographic archives, ethnographic research, interviews, and diverse individual and collaborative narrative methods-verbal, non-verbal, and film. Methods draw from socio-cognitive psychology design thinking, and fine art; applied to car storytelling. Course culminates in a final story presentation and showcase. Restricted to co-term and graduate students. Class Size limited to 16.
Terms: Spr | Units: 1-3 | Repeatable 2 times (up to 6 units total)
Instructors: Karanian, B. (PI)
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