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21 - 30 of 67 results for: ME

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 244: Mechanotransduction in Cells and Tissues (BIOE 283, BIOPHYS 244)

Mechanical cues play a critical role in development, normal functioning of cells and tissues, and various diseases. This course will cover what is known about cellular mechanotransduction, or the processes by which living cells sense and respond to physical cues such as physiological forces or mechanical properties of the tissue microenvironment. Experimental techniques and current areas of active investigation will be highlighted. This class is for graduate students only.
Terms: Win | Units: 3

ME 258: Fracture and Fatigue of Materials and Thin Film Structures (MATSCI 358)

Linear-elastic and elastic-plastic fracture mechanics from a materials science perspective, emphasizing microstructure and the micromechanisms of fracture. Plane strain fracture toughness and resistance curve behavior. Mechanisms of failure associated with cohesion and adhesion in bulk materials, composites, and thin film structures. Fracture mechanics approaches to toughening and subcritical crack-growth processes, with examples and applications involving cyclic fatigue and environmentally assisted subcritical crack growth. Prerequisite: 151/251, 198/208, or equivalent. SCPD offering.
Terms: Win | Units: 3

ME 263: The Chair

Students design and fabricate a highly refined chair. The process is informed and supported by historical reference, anthropometrics, form studies, user testing, material investigations, and workshops in wood steam-bending, plywood forming, metal tube bending, TIG & MIG welding, upholstery & sewing. Prerequisite: ME103/203 or consent of instructor. May be repeated for credit.
Terms: Win | Units: 4 | Repeatable 2 times (up to 8 units total)

ME 268: Robotics, AI and Design of Future Education (EDUC 468)

The time of robotics/AI is upon us. Within the next 10 to 20 years, many jobs will be replaced by robots/AI (artificial intelligence). This seminar features guest lecturers from industry and academia discussing the current state of the field of robotics/AI, preparing students for the rise of robotics/AI, and redesigning and reinventing education to adapt to the new era.
Terms: Win | Units: 1 | Repeatable 10 times (up to 10 units total)
Instructors: Jiang, L. (PI)

ME 269: Designing Learning and Making Environments

We investigate Learning and Making environments that enable participants to learn technical concepts through designing and prototyping at low cost. The course consists of lectures, invited guest talks and a final project. Students interact with guest speakers who have developed novel learning environments and deployed them in mainstream education settings as well as in extreme conditions such as remote rural locations. Students work in teams to complete a course project using design methodology to develop a learning environment solution.
Terms: Win | Units: 2 | Repeatable 2 times (up to 4 units total)
Instructors: Jiang, L. (PI)

ME 281: Biomechanics of Movement (BIOE 281)

Experimental techniques to study human and animal movement including motion capture systems, EMG, force plates, medical imaging, and animation. The mechanical properties of muscle and tendon, and quantitative analysis of musculoskeletal geometry. Projects and demonstrations emphasize applications of mechanics in sports, orthopedics, and rehabilitation.
Terms: Win | Units: 3

ME 283: Introduction to Biomechanics and Mechanobiology (BIOE 282)

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: Win | Units: 3

ME 285: Computational Modeling in the Cardiovascular System (BIOE 285, CME 285)

This course introduces computational modeling methods for cardiovascular blood flow and physiology. Topics in this course include analytical and computational methods for solutions of flow in deformable vessels, one-dimensional equations of blood flow, cardiovascular anatomy, lumped parameter models, vascular trees, scaling laws, biomechanics of the circulatory system, and 3D patient specific modeling with finite elements; course will provide an overview of the diagnosis and treatment of adult and congenital cardiovascular diseases and review recent research in the literature in a journal club format. Students will use SimVascular software to do clinically-oriented projects in patient specific blood flow simulations. Pre-requisites: CME102, ME133 and CME192.
Terms: Win | 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: Win | Units: 4
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