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.

This course offers an examination of the principles of systems engineering (SE) and their application within engineering management contexts. Students will be introduced to the vocabulary and the core concepts and techniques (tools) of SE. Of particular focus is exploring how systems thinking, as a perspective, offers a valuable capability for holistically understanding and dealing with engineering management problems and challenges.

Structuring of materials at the micro-/nano-scale has become a standard method for creating optical, thermal, acoustic, and mechanical properties, which are not possible by traditional stochastic material processing. The new materials created by the deliberate control of their structures have been called ?metamaterials? and will play a critical role in the development of future high-performance materials. The aim of the course is to provide multidisciplinary knowledge for understanding metamaterials with selected applications.

The objective of this class is to gain a deeper understanding of several issues related to teaching and learning, including how students learn, different methods of instruction and mentoring, and the challenges in making and grading assignments.