Course Description: Presents the synergistic integration of mechanical engineering with electronics and computer control in the design of industrial products and processes. Surveys basic electronics, electromechanical actuators, analog and digital signals, sensors, basic control algorithms, and microcontrol programming. Weekly laboratory exercises and a final design project. Prerequisite: Third year standing in ME or AE or instructor permission.

Course Description: Discusses the mathematics of feedback control systems; transfer functions; basic servo theory; stability analysis; root locus techniques; and graphical methods. Applications to analysis and design of mechanical systems, emphasizing hydraulic, pneumatic, and electromechanical devices. Prerequisite: MAE 2320 and 3710.

Course Description: Studies free and forced vibration of damped and undamped single and multiple degree of freedom systems. Includes modeling of discrete and continuous mass systems; application to vibration measurement instruments; analysis of concepts of modal analysis; concepts of linear stability; application to rotating machinery, Prerequisite MAE 2320, corequisite MAE 3710

Course Description: Concepts of stress, strain, equilibrium, compatibility; Hooke's law (isotropic materials); displacement and stress formulations of elasticity problems; plane stress and strain problems in rectangular coordinates (Airy's stress function approach); plane stress and strain problems in polar coordinates, axisymmetric problems; thermal stress; and energy methods.

Course Description: The course covers state-of-the-art mechanical models to describe the constitutive behavior of hard and soft tissues with emphasis on biological form following physiological function. The course will cover linear and nonlinear elasticity, viscoelasticity, poroelasticity, and biphasic constitutive relations in the context of biological systems and will include the dependence of macroscopic behavior and properties on material microstructure. Prerequisite: MAE 6020

Course Description: This course will begin with a study of the fundamental microscopic energy carriers (definitions, properties, energy levels and disruptions of photons, phonons, and electrons.) Transport of energy will then be investigated with an emphasis on microscale effects in space and in time. The approaches used to describe microscale heat transportation differ significantly from the macroscopic phenomenological approaches and include new physical mechanisms. They often involve solution of the Boltzman transport equation and the equation of phonon radiative transfer. These approaches will be introduced with an emphasis on ultra-short time scale heating and ultra-low temperatures. Prerequisite: Instructor Permission

Course Description: Topics include free and forced vibrations of undamped and damped single- and multi-degree-of-freedom systems; modal analyses; continuous systems; matrix formulations; finite element equations; direct integration methods; and eigenvalue solution methods. Cross-listed as CE 6731. Prerequisite: Instructor permission.

Course Description: Further and deeper understanding of partial differential equations that govern physical phenomena in science and engineering. Solution of linear partial differential equations by eigenfunction expansion techniques. Green's functions for time-independent and time-dependant boundary value problems. Fourier transform methods, and Laplace transform methods. Solution of variety of initial-value, boundary-value problems. Various physical applications. Study of complex variable theory. Functions of complex variable, the complex integral calculus, Taylor series, Laurent series, and the residue theorem, and various applications. Serious work and efforts in the further development of analytical skills and response. Cross-listed as APMA 6420. Prerequisite: Graduate standing and APMA/MAE 6410 or equivalent.

Course Description: Role of statistics in science, hypothesis tests of significance, confidence intervals, design of experiments, regression, correlation analysis, analysis of variance, and introduction to statistical computing with statistical software libraries. Cross-listed as APMA 6430. Prerequisite: Admission to graduate studies or instructor permission.

Course Description: The topics covered are: review of vectors, matrices, and numerical solution techniques; discrete systems; variational formulation and approximation for continuous systems; linear finite element method in solid mechanics; formulation of isoparametric finite elements; finite element method for field problems, heat transfer, and fluid dynamics. Prerequisite: MAE 6020 or equivalent

Course Description: Numerical solution techniques for the partial differential equations governing fluid dynamics; model equations; numerical error analysis using theories in ordinary differential equations and ordinary difference equations; eigensystem analysis; stability, convergence, and consistency; stiffness, relaxation, and multigrid. Prerequisite: MAE 6310 or instructor permission.

Course Description: A design or research project for a first-year graduate student under the supervision of a faculty member. A written report must be submitted and an oral report presented. Up to three credits from either this course or MAE 7540 may be applied toward the master's degree. Prerequisite: Students must petition the department Graduate Studies Committee before enrolling.

Course Description: Analysis of thermodynamic cycles and energy conversion systems. Topics include multi-component system analysis, real fluids, chemical equilibrium, and renewable energy systems. Applications include power generation, internal combustion engines, refrigeration/heat pump systems, energy audits, fuel cells, bio-derived fuels, and solar, wind, and water energy systems. Prerequisite: MAE 2100.

Course Description: Analytical and computational treatment for modeling and simulation of 3-Dimensional multibody mechanical systems. Provide a systematic and consistent basis for analyzing the interactions between motion constraints, kinematics, static, dynamic, and control behavior of multibody mechanical systems. Applications to machinery, robotic devices and mobile robots, biomechanical models for gait analysis and human motions, and motion control. Matrix modeling procedures with symbolic and numerical computational tools will be utilized for demonstrating the methods developed in this course. Focus on the current research and computational tools and examine a broad spectrum of physical systems where multibody behavior is fundamental to their design and control. Prerequisite: Engineering degree and familiarity with a programming language.

Course Description: This is an advanced applications course on the biomechanical basis of human injury and injury modeling. The course covers the etiology of human injury and state-of-the-art analytic and synthetic mechanical models of human injury. The course will have a strong focus on modeling the risk of impact injuries to the head, neck, thorax, abdomen and extremities. The course will explore the biomechanical basis of widely used and proposed human injury criteria and will investigate the use of these criteria with simplified dummy surrogates to assess human injury risk. Brief introductions to advanced topics such as human biomechanical variation with age and sex, and the biomechanics of injury prevention will be presented based on current research and the interests of the students. Prerequisite: MAE 6080.