This seminar is for incoming transfer students.

Additive Manufacturing (AM) course is designed to explore the latest developments and critical challenges of AM and provide students with in-depth knowledge of the AM processes and hands-on experiments with available 3D printing machines.

The basics of data acquisition and analysis, pattern classification, system identification, neural network modeling, and fuzzy systems. Essential to students whose thesis projects involve experimentation and data analysis.

Contact department for description.

Description not available at this time

Vibration of discrete systems with many degrees of freedom, normal modes and frequencies, approximate methods. Introduction to nonlinear vibrations. Nonlin-earities in inertia, damping, restoring forces, etc. Singular points and stability, including approximate methods of solution. Liapunov's method. Prerequisite: M&I-Eng 640 or 385. Mr. Poli