A professionally oriented seminar with faculty, university administration, and alumni speakers. Topics include: starting career options; career development; safety; switching companies and careers; working for oneself; graduate school.

The goal of this seminar is to introduce the graduate students to different cutting edge research projects that are ongoing in the Department and at other Institutions and to promote interdisciplinary research collaboration by encouraging the students to attend the Departmental Seminars and PhD/MS defenses.

In this course, we will read and discuss papers on a range of topics applicable to offshore wind energy.

Additive Manufacturing (AM), also known as 3D printing, is a disruptive technology that has received significant attention in recent years in both the popular press and the manufacturing industry. This class will cover a comprehensive understanding of various AM technologies and their applications.

Modeling, analysis, and simulation of dynamic systems. Models for the dynamics of systems from different disciplines derived using differential equations and then transformed into state-space and input/output forms, and finally simulated. Relevant concepts from Laplace Transform, linear algebra, and complex variables covered. The models analyzed for transient response and frequency response properties.

Innovation in materials, IT, manufacturing and intelligent techniques is propelling the revolution of manufacturing industry. The integration of the innovative materials and artificial intelligent (AI) and sensing techniques in manufacturing processes, called Industry 4.0, is bringing lower cost and higher quality products to our life and changing our life.

This course is designed to introduce the fundamentals of internal combustion engines. Attention will be paid to how engine design affects their operation, power, efficiency, fuel requirements, and emissions. Lectures will include discussion of fluid flow, thermodynamics, combustion, heat transfer and friction phenomena. The design and operating characteristics of different types of internal combustion engines including spark-ignition, diesel and mixed-cycle engines will be explored.

This course introduces numerical methods used by mechanical engineers. It involves coding algorithms in Matlab and observing the types of numerical errors that arise. It is suitable for junior and senior undergraduates and graduate students. It provides a foundation for Advanced Numerical Analysis (MIE 603), which presumes an understanding of basic numerical methods and focuses on accounting for numerical errors in order to analyze engineering problems using numerical solutions that inherently include error.

Course description not available at this time.

Not available at this time.