Protective materials, including body armor, helmets, and specialized suits, are essential to saving lives and minimizing body injuries under extreme dynamic conditions. A fundamental understanding of material deformation behavior at very high rates is crucial to advance protective materials. This course will provide a basic understanding of materials science and high-strain-rate mechanics relevant to such extreme conditions.

The course introduces the theoretical background to hydrodynamics, gravity waves in the oceans, coastal processes and tides.

In this course, students will be introduced to fundamental concepts and current approaches for manufacturing bioactive systems using cells as building blocks. The topics include stem cell/organoid engineering, scaffold/matrices, biomaterials, 3D bioprinting, organ-on-chips, and biohybrid robotics. This course also prepares students for independent research by improving literature reviewing and writing skills.

The goal of any manufacturing enterprise should be to obtain safe, dependable, satisfactory, and economical production within the operating constraints of the process. Students will gain foundational knowledge of industrial control systems focused on manufacturing automation. The course will concentrate on the selection and application of commercial sensors, actuators, and controllers to meet the needs of an individual process, or an enterprise-wide operation.

Not available at this time

Not available at this time

Introduction to the theory of stochastic processes with emphasis on Markov chains, Poisson processes, markovian queues and networks, and computational techniques in Jackson networks. Applications include stochastic models of production systems, reliability and maintenance, and inventory control. Prerequisites: M&I-Eng 271, 520, or equivalent.

This class focuses on the design and analysis of wind turbines. This is accomplished via a semester long wind turbine design project, which utilizes modern wind turbine design and analysis codes, including those of the National Renewable Energy Laboratory, such as TurbSim, Aerodyn, BModes and FAST as well as ancillary codes written in Excel, VBA or Matlab. Students will learn about the theory behind these codes as well as how to develop the input files, run the codes and analyze the results.

This course prepares engineers to be leaders in organizations of varying size by simulating the planning, decision-making, and communication needed to take an idea from germination to execution and delivery, scaling a team from a few people to a ~200 person organization. You will be the VP of Engineering of your own startup where you will pitch an idea, develop it, plan the resources needed to deliver it, hire a team, and manage the organization.