Strategies and methods of designing, manufacturing, and testing of mechanical products. Engineering drawing and CAD, design methods, material properties, failure modes, selection methodology, ...

This class covers the foundations of rigid multi-body mechanics. Topics include geometry of rigid bodies, rotating bodies, Lagrangian mechanics and variational principles, conservation of energy and ...

Introduction to microelectromechanical devices with an emphasis on their manufacturing and mechanical behavior. Material properties, microfabrication technology, mechanical behavior of of ...

The Mechanical Engineering Graduate Student Society (MEGSS) provides a student voice on departmental issues like faculty selection and curriculum matters. In this way, the concerns of the graduate ...

The spring section of ME 398 is only for students who chose to work on a two-quarter project in the previous winter section. The spring section is a continuation of the winter ME 398 and cannot be ...

Probability concepts and random variables. Failure rates and reliability testing. Wear-in, wear-out, random failures. Probabilistic treatment of loads, capacity, safety factors. Reliability of ...

Friction. Kinetics of rigid bodies in planar motion. Equilibrium of rigid bodies. Mass centers and moments of inertia of rigid bodies, dynamics of rigid bodies in planar motion. Kinetics of particles.

The objective is to give students an introduction to the essential fluid mechanical concepts needed to work in some of the most contemporary areas of mechanical engineering: microfluidics, ...

Computational simulation gives researchers the power to explore complex engineering problems that cannot be easily approached through theory and experiment alone. We are creating solutions using ...

Numerical methods for interaction and optimal CAD. Fully stressed design; design sensitivity analysis and descent methods; optimality criteria to automated design. As structures and mechanisms grow ...

Python is arguably now the world's foremost programming language. It is the go-to coding language for data scientists, machine learning researchers, design engineers, and anyone who needs to grab and ...

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