Unified treatment of the analysis of solids. Consideration of continuity, mechanical energy, stress and strain. Application to elasticity, thermoelasticity, and plasticity.

With the advancement of technology, the world is becoming increasingly data rich. Engineers are expected to use large quantities of data as they design and evaluate systems. However, these large amounts of data cannot inform decisions until they are statistically analyzed for patterns and translated into insight. This course will discuss and use the field of probability and statistics to demonstrate its importance and utility in the solution of problems specifically of interest to industrial engineering and engineering management.

Theory and application of linear programming. Includes formulation of linear programming models, simplex, revised simplex and dual simplex algorithms, duality, parametric procedures, interpretation of results, and the decomposition principle. Prerequisite: consent of instructor.

The course is under the umbrella of the Materials Group and the Biomechanical Engineering Group in the Department of Mechanical and Industrial Engineering. The course will cover functional nanomaterials and biosensors based on the nanomaterials.

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

This course covers 1D, 2D, 3D systems, limit cycle oscillations, period-n and quasiperiodic responses, phase planes, Poincare' maps, logistics equations, and chaos, among other critical nonlinear phenomena.

Principles of mechanical behavior and failure of metals, polymers, and ceramics. Analysis of problems in design of structural materials that must meet certain strength and performance criteria. Emphasis on the engineering significance and use of various experimentally measured properties such as fatigue life, critical stress intensity factor, relaxation modulus, creep rupture life, and crack growth rate.

The course provides advanced background to fluid mechanics including statics, kinematics, governing equations of fluid flow, viscous flow, inviscid ideal flow and gravity waves.

Numerical methods of solving problems in engineering analysis. Topics include interpolation polynomials, numerical integration and differential equations, multiple regression and correlation, roots of equations and solution of simultaneous equations and numerical solution of partial differential equations. Prerequisites: undergraduate calculus and differential equations.

Review of classical thermodynamics and conventional energy conversion systems. Introduction to kinetic theory of gases, and statistical thermodynamics. Selected topics in chemical thermodynamics. Mr. McGowan