ME
2022-2023
ME 5014
Graduate Assistant Training for the Mechanical Engineering Professoriate
Teaching assistant in-the-laboratory training for Mechanical Engineering courses. Responsibilities of the instructor and teaching assistant in the classroom and laboratory. Leadership development and team building. Professionalism in communication and work interaction. Lab practice: scheduling, safety, development of experiments and troubleshooting. Communication in mechanical engineering: critiquing and grading. Working with a diverse group and inclusivity. Engineering ethics. Restricted to students enrolled in the Graduate Certificate: Mechanical Engineering Professoriate. Pre: Graduate standing.
Graduate
Lab, Lecture, VB, Online Lecture
2
3
ME 5034
Bio-Inspired Technology
Introduction to engineering solutions inspired by the functional mechanisms of biological systems. An overview of bio-inspired technology and the state of the art. Exploration of the relationship between engineered and natural biological systems. Concepts of biological systems, such as evolutionary optimization, sensing, actuation, control, system integration, assembly, and materials in engineering terms. State-of-the art of bio-inspired technology. Interdisciplinary analysis skills are practiced in projects where man-made and biological systems are evaluated for parallels and the technological potential of the biological systems. Prerequisite: Graduate Standing required.
Graduate
Lecture, Online Lecture
3
3
ME 5104
Thermodynamics: Foundations and Applications
Exposition of the basic concepts and principles of thermodynamics. Principles and results developed for both macroscopic and microscopic systems as well as equilibrium and non-equilibrium states. Definition of entropy for any state. The definition of temperature; pressure, total potential; heat; work; the fundamental Gibbs, Euler, Gibbs-Duhem, and Maxwell relations; characteristic functions; and the state principle. Definition and use of thermo-physical properties, charts, tables, and equations of state for pure as well as mixtures of ideal and real gases, liquids and solids. Second Law analysis, energy conversion, chemical reactions and chemical equilibrium, and introduction to the phenomenological laws of non-equilibrium thermodynamics. I.
Graduate
Lecture, Online Lecture
3
3
ME 5135 (AOE 5135)
Vehicle Propulsion
Aerothermodynamics of gas turbines and rockets: cycle analysis of turbojets, turbofans, prop fans, and turbo props. Analysis of ramjets and scramjets. Performance of inlets, combustors, and nozzles. Elementary theory of turbomachinery. Liquid and solid propellant chemical rockets. Electrostatic, electromagnetic, and electrothermal propulsion. Integrated rocket-ramjet. Fuels and propulsion systems for future transportation system.
Graduate
Lecture, Online Lecture
3
3
ME 5174 (BMES 5174)
Biomechanics of Crash Injury Prevention
Principles of design and analysis of crash injury prevention methods in vehicle crashes. The course encompasses three major focus areas for occupant protection in crashes: crash energy absorption in (1) the vehicle structure, (2) the occupant, and (3) the occupant restraints. Topics include the biomechanics of impact injury, analysis of occupant response in crash tests, vehicle crash kinematics, modeling of vehicle impact response, modeling of human impact response, and occupant restraint design. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
3
3
ME 5204 (BMES 5204)
Lab Techniques Injury Prev
Human surrogate biomechanical impact testing. 3-D rigid-body kinematics, kinetics, properties of deformable materials, servosled testing. Injury prediction and mitigation for transport systems. Transportation restraint system design. Instrumentation, data acquisition, and signal processing techniques of impact biomechanics. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
4
4
ME 5214
Combustion
Combustion science and its applications and introduction. Thermodynamics of gaseous mixtures, chemical kinetics of gases, transport properties of gaseous mixtures, chemical reactors and chemically reacting flows. Waves in chemically reacting flows, deflagrations and deformations. Laminar premixed flames, laminar diffusion flames. Liquid fuels combustion. Pollutants formation in combustion.
Graduate
Lecture, Online Lecture
3
3
ME 5264
Mechanics of Adhesive Bonding and Interfaces
Principles of mechanics applied to adhesively bonded joints and interfaces, overview of adhesion technology, stress analysis of adhesive joints, stresses in bimaterial systems and interfaces, failure mechanisms and fracture, thermodynamic and observed toughnesses, time dependence and durability, design.
Graduate
Lecture, Online Lecture
3
3
ME 5304
Conduction and Radiation Heat Transfer
Principles of conduction. Analysis of one-dimensional and multidimensional steady and transient, phase change and moving heat source problems are examined. A comprehensive treatment of numerical and analytical methods for solving heat conduction problems is presented.
Graduate
Lecture, Online Lecture
3
3
ME 5314
Convective Heat and Mass Transfer
Principles of convection. Analysis of heat transfer for internal and external flows; laminar and turbulent boundary layer theories; forced and natural convection. Analysis using similarity transformations, integral solutions and numerical methods.
Graduate
Lecture, Online Lecture
3
3
ME 5324
Radiation Heat Transfer
Introduction to thermal radiation; the electromagnetic spectrum; the blackbody; wave phenomena versus geometric optics; polarization, diffraction, and refraction effects; emission, reflection, absorption, and transmission of thermal radiation by surfaces; radiant interchange among surfaces; radiation through a participating medium; the Monte Carlo raytrace method; uncertainty and confidence interval of results. Knowledge of thermodynamics at the undergraduate level is recommended.
Graduate
Lecture, Online Lecture
3
3
ME 5344G
Advanced Biological Transport Phenomena
Engineering analysis and predictive modeling of heat and mass transport in biological systems (e.g., tissues, organs, organisms, and biomedical devices). Examination of processes that involve conduction, convection, diffusion, generation/ consumption. Application of analytical and computational methods to solve differential equations that describe unsteady and/or multi-dimensional transport. Topics include oxygen transport, drug delivery, pharmacokinetic analysis, kidney function, blood perfusion, cryopreservation, and hyperthermia. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
3
3
ME 5404
Fluid Dynamics
Fundamental fluid mechanics: kinematics and dynamics. Continuum fluid dynamics including hydrostatics, flow kinematics, the concept of stress, constitutive relations, the equations of motion and energy for compressible and incompressible viscous and inviscid flows. Incompressible Newtonian viscous flows, similitude and physical modeling, inviscid potential flows, inviscid flows with vorticity, boundary layers, and an introduction to turbulent flow. I.
Graduate
Lecture, Online Lecture
3
3
ME 3404
ME 5414
Nonlinear Systems
Dynamics of conservative and nonconservative systems; phase planes; local and global stability; damping mechanisms; self-excited oscillators. Forced oscillations of one-degree-of-freedom systems; primary, secondary, and multiple resonances; period-multiplying bifurcations; strange attractors; chaos. Parametric excitations; Floquet theory; influence of damping and nonlinearity. Multi-degree-of-freedom systems; concepts of internal and external resonances; Hopf bifurcation. Applications to continuous systems; strings, beams, plates, and shells.
Graduate
Lecture, Online Lecture
3
3
ESM 5754, ESM 5304
ME 5424
Turbomachinery
Application of fluid mechanics and thermodynamics to turbomachinery, with emphasis on high speed machines. Review of basic concepts and ideal performance. Viscous effects - losses and stall. Three dimensional and secondary flow. Actual machine performance and design considerations. Selected topics including axial and centrifugal machines, transonic flow, transient behavior, and three-dimensional flow design. II
Graduate
Lecture, Online Lecture
3
3
ME 5434
Advanced Introduction to Computational Fluid Dynamics
Euler and Navier-Strokes equations governing the flow of gases and liquids. Mathematical character of partial differential equations. Discretization approaches with a focus on the finite difference method. Explicit and implicit solution techniques and their numerical stability. Introduction to verification, validation, and uncertainty quantification for computational fluid dynamics predictions. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
3
3
ME 5444
Interfacial Fluid Mechanics
Interfacial fluid systems involving surface tension, interfacial hydrodynamics, and phase-change heat transfer. Scaling analysis and non-dimensionalization will be used to mode a variety of interfacial phenomena relevant to fluid mechanics and phase-change heat transfer. Capillarity, surface wettability, hydrodynamics of interfaces, flow instabilities, long range forces, convective and diffusive boundary layers, homogeneous and heterogeneous nucleation, and multiphase flows. Pre: Graduating standing.
Graduate
Lecture, Online Lecture
3
3
ME 5454
Interfacial Thermodynamics and Transport
Intermolecular forces (covalent, van der Waals, and Coulombic forces) and their thermodynamic considerations. Molecular structure and thermodynamic properties of liquid-solid, liquid-vapor, and liquid-liquid interfaces. Thin films and wetting. Disjoining pressure (van der Waals, double layer, and solvation forces; non-classical forces). Transport phenomena driven by interfacial forces, including electrokinetic transport, diffusioosmosis, and diffusiophoresis. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
3
3
ME 5514
Vibrations of Mechanical Systems
Single degree-of-freedom systems, multiple-degree-of- freedom system and distributed parameter systems ending in dynamic finite element modeling. Numerical solutions, isolation, absorption, optimal design for vibration reduction, analytical modal methods, transfer function methods. Damping models and analysis.
Graduate
Lecture, Online Lecture
3
3
ME 3504
ME 5524
Bayesian Robotics
Principles of autonomous robotics control for unstructured environments. Probability theory, numerical techniques for recursive Bayesian estimation and multi-sensor data fusion, simultaneous localization and mapping, quantification of belief, Bayesian control. Prerequisite: Graduate Standing required.
Graduate
Lecture, Online Lecture
3
3
ME 5544 (AOE 5744) (ECE 5744)
Linear Systems Theory
Advanced introduction to the theory of time-varying and time-invariant linear systems represented by state equations; solutions of linear systems, uniform stability and other stability criteria, uniform observability and controllability, state feedback and observers.
Graduate
Lecture, Online Lecture
3
3
ECE 4405 (UG) OR ECE 4405 OR ECE 4624 (UG) OR ECE 4624 OR ECE 4634 (UG) OR ECE 4634 OR ME 4504 (UG) OR ME 4504 OR AOE 4004 (UG) OR AOE 4004
ME 5554 (AOE 5754) (ECE 5754)
Applied Linear Systems
Develop an applied understanding of state-space representations for linear time invariant multi-input multi-output dynamic systems in both time domain and frequency domain. Introduction to modern state-space control methods; state feedback and output feedback. Realistic design problems with numerical simulations of practical implementations.
Graduate
Lecture, Online Lecture
3
3
ECE 4405 OR ECE 4624 OR ECE 4634 OR ME 4504 OR AOE 4004 OR ECE 4405 (UG) OR ECE 4624 (UG) OR ECE 4634 (UG) OR ME 4504 (UG) OR AOE 4004 (UG)
ME 5564 (ECE 5764) (AOE 5764)
Applied Linear Control
Analysis and design of sampled-data systems, extraction of discrete-time dynamic models from experimental data, and implementation of dynamic compensators on digital processors. In-depth design experience with LQR optimal control and an introduction to Kalman filtering. Realistic design problems with numerical simulations of practical implementations.
Graduate
Lecture, Online Lecture
3
3
ME 5554 OR ME 5544 OR AOE 5744 OR AOE 5754 OR ECE 5744 OR ECE 5754
ME 5574 (AOE 5774) (ECE 5774)
Nonlinear Systems Theory
Introduction to the theory of systems of coupled, nonlinear, time-varying ordinary differential equations: existence and uniqueness of solutions; continuous dependence on parameters; stability of equilibria and stability analysis techniques; input-to-state stability; input-output stability; nonlinear design techniques including input-state and input-output feedback linearization, backstepping, and sliding mode control.
Graduate
Lecture, Online Lecture
3
3
ECE 4405 (UG) OR ECE 4405 OR ECE 4624 (UG) OR ECE 4624 OR ECE 4634 (UG) OR ECE 4634 OR ME 4504 (UG) OR ME 4504 OR AOE 4004 (UG) OR AOE 4004
ME 5584 (ECE 5734) (AOE 5734)
Convex Optimization
Recognizing and solving convex optimization problems. Convex sets, functions and optimization problems. Least-squares, linear, and quadratic optimization. Geometric and semidefinite programming. Vector optimization. Duality theory. Convex relaxations. Approximation, fitting, and statistical estimation. Geometric problems. Control and trajectory planning. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
3
3
ME 5634
Finite Elements in Machine Design
Advanced analysis and design of machine components with emphasis on the finite element method of analysis using commercial software. Structural and continuum elements will be used for both the static and dynamic analysis and design of machine components. Practice oriented analysis techniques and design procedures employable through the finite element method will be developed. Design problems will constitute a significant part of the course. II.
Graduate
Lecture, Online Lecture
3
3
ME 3614
ME 5644
Rapid Prototyping
Participants will study topics fundamental to rapid prototyping and automated fabrication, including the generation of suitable CAD models, current rapid prototyping fabrication technologies, their underlying material science, the use of secondary processing, and the impact of these technologies on society. The rapid prototyping process will be illustrated by the actual design and fabrication of a part. Partially duplicates ME 4644; credit may only be received for one course. Co: ME 4634 or equivalent background; programming skills.
Graduate
Lecture, Online Lecture
3
3
ME 5654
Multibody Systems Dynamics
Dynamic systems with planar and spatial rigid multibody models. Position and orientation of bodies in space. Holonomic and nonholonomic constraints. Planar and spatial joints. Derive driving constraints. Characterize the manifold using differential geometry. Singular configurations. Kinematics analysis. Equations of motion. Calculate the centroid, moments, and products of inertia. Formulate internal generalized forces. Multibody system dynamics in the ordinary differential equations (ODE) and differential algebraic equations (DAE) formulations. Tangent space ODE and tangent space index 0 formulations for holonomic systems; implement and solve the kinematic and dynamics of rigid multibody systems using numerical methods. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
3
3
ME 5664
Global Collaborative Product Development
Participants will study topics fundamental to global collaborative product development, project data management, and collaborative product data management. These topics will be applied during a team project with team members located overseas, utilizing state-of-the-art collaborative engineering and product data management software and hardware technologies. Partially duplicates 4664; credit may only be received for one course. Graduate standing required.
Graduate
Lecture, Online Lecture
3
3
(ME 2024 (UG) OR ME 2024), (ME 4634 (UG) OR ME 4634)
ME 5674
Tire Mechanics
Introduction to tire mechanics with emphasis on tire modeling for vehicle dynamic simulation. Tire mechanics explained from several view points: engineering mechanics, system dynamics, and empirical procedures. Vehicle dynamic modeling including suspension and steering systems covered providing details on the effect of tire dynamics on vehicle behavior. Real tire data provided to be used for vehicle dynamics simulation.
Graduate
Lecture, Online Lecture
3
3
ME 5694
Advanced Design Project
Teams solve complex engineering problems, typically originating for industry, with emphasis on new product development, using the engineering design process. Emphasis on project management, engineering economics, and professional skills in presentation of a proposed business plan and technical solution. Intended for students in the Virginia Tech - Technische Universitat Darmstadt dual Master of Science in Mechanical Engineering degree program. May be repeated for a maximum of 6 credits, but then in different fields of mechanical engineering. Variable credit of 1-6 hours
Graduate
Lecture, Online Lecture
1 TO 6
1 TO 6
ISE 5174
ME 5704 (ECE 5704)
Robotics and Automation
Automation, mechatronics, robot technology, kinematics, dynamics, trajectory planning, and control of two-dimensional and spatial robots; robot programming; design and simulation of robotic devices. Laboratories associated with robot forward/inverse kinematics, task planning, velocity kinematics, force rendering, control, haptics, mobile robotics, mapping/localization, computer vision and path planning. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
2
3
ME 5714 (BMES 5514)
Digital Signal Processing for Mechanical Measurements
The fundamentals of digital signal processing of data experimentally obtained from mechanical systems will be covered. Attention will be given to the data acquisition, A/D conversion, aliasing, anti-aliasing filtering, sampling rates, valid frequency ranges, windowing functions, leakage, and various transform methods. Special attention will be given to random, transient, and harmonic function data processing. Various methods of estimation of the frequency response function (FRF) will be explored. The estimation methods will be assessed as to their impact on FRF estimation errors. I.
Graduate
Lecture, Online Lecture
3
3
ME 3504, ME 4504
ME 5724
Advanced Instrumentaion and Signal Processing
Advanced techniques in instrumentation using state-of-the- art transducers, techniques in data acquisition and signal processing. Techniques for estimating errors and optimizing data quality.
Graduate
Lecture, Online Lecture
3
3
ME 4005
ME 5734
Advanced Engineering Acoustics
The fundamental principles underlying the generation, transmission, and reception of acoustic waves will be presented. Methods for analytically investigating various acoustic and structural acoustic situations encountered in practice will be developed. The application of these methods to typical engineering acoustical problems with physical interpretation of the results will be demonstrated.
Graduate
Lecture, Online Lecture
3
3
ME 4724
ME 5735G
Advanced Mechatronics
Electromechanical design and control applications. Design and building of electronic interfaces and controllers for mechanical devices, sensors, signal acquisition, filtering, and conditioning. Microcontroller-based closed-loop control and device communications. Sensor and actuator selection, installation, and application strategies.
Graduate
Lecture, Online Lecture
3
3
ME 5736G
Advanced Mechatronics
Electromechanical design and control applications. Design and building of electronic interfaces and controllers for mechanical devices, sensors, signal acquisition, filtering, and conditioning. Microcontroller-based closed-loop control and device communications. Sensor and actuator selection, installation, and application strategies.
Graduate
Lecture, Online Lecture
3
3
ME 5735G
ME 5744
Methods of Mechanical Engineering Analysis
Introduction to selected mathematical techniques oriented toward solving advanced continuous and lumped parameter problems of the type often encountered in mechanical engineering. Elliptic, parabolic and hyperbolic ordinary and partial differential equations are discussed. Solution by separation of variables, integral transforms, Greens functions and numerical methods. The emphasis is on understanding how physical processes work.
Graduate
Lecture, Online Lecture
3
3
ME 5764 (BMES 5764)
Modeling MEMS and NEMS
Modeling MEMS and NEMS is about the construction, analysis, and interpretation of mathematical and computational models of microelectromechanical and nanoelectromechanical systems (MEMS and NEMS). A goal throughout the course will be to develop a physical intuition for the fundamental phenomena at these small scales. The material covered will be broad and multidisciplinary including: dimensional analysis and scaling; a review of continuum mechanics; fluid dynamics, elasticity, thermal transport, and electromagnetism at the micro and nanoscales; the modeling of a variety of new MEMS/NEMS devices; and approaches beyond the continuum theory including stochastic and deterministic methods. Graduate standing required.
Graduate
Lecture, Online Lecture
3
3
ME 5784
Advanced Industrial Internet of Things Platform
Theory and applications of Industrial Internet of Things (IIoT). Industrial data flow, devices and network. Basics for IIoT architecture and Cloud computing platforms. Hands-on experience with Cloud computing platforms and original equipment manufacturer (OEM) IIoT platforms. Practical projects to demonstrate device connection, data transfer and apply diagnostics, maintenance, and predictive data analytics on IIoT platforms. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
3
3
ME 5794
Optimization Techniques in Engineering
Fundamental mathematical concepts for optimization and optimality conditions. Classification of optimization techniques/problems in engineering. Concepts of forward and inverse design. Linear programming, 1st and 2nd order gradient-based algorithms. Evolutionary strategies for optimization. Sensitivity analysis. Reliability-based and robustness-based optimization. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
3
3
ME 5804
Active Material Systems and Smart Structures - I
Behavior and physics associated with ceramic and polymeric active materials; constitutive models of piezoelectric and electrostrictive ceramics and polymers derived from thermodynamic relationships; development of static and dynamic models of systems that incorporate active materials derived using variational mechanics. Piezoelectric and electrostrictive ceramics and polymers, ionomeric polymers, conductive polymers, and carbon nanotubes will be studied. Applied topics in structural health monitoring, motion control, vibration control, and sensing will be studied.
Graduate
Lecture, Online Lecture
3
3
ME 3514, ME 3504 OR ME 4504
ME 5814
Energy Harvesting
Criterion of harvesting, identification of energy sources, theory of vibrations, PSD, measurement and analysis. Selection of materials for energy conversion, piezoelectric, electromagnetic, electrostrictive, magnetostrictive, magnetoelectric, dielectric elasomers, conducting polymers, metal-ceramic composites, electrets, electostatic, thermoelectric, photovoltaic. Design and characterization, modeling and fabrication of vibration, wind, thermal gradient, and light energy harvesters; resonance phenomenon, equivalent circuits and storage. Case studies for applications of industrial systems, surveillance, automobliles and the human body. Prerequisite: Graduate Standing
Graduate
Lecture, Online Lecture
3
3
ME 5824 (CS 5844)
Algorithmic Human-Robot Interaction
Formalizing interaction between robots and humans. Developing learning and control algorithms that enable robots to seamlessly and intelligently collaborate with humans. Mathematical approaches to human-robot interaction, learning from demonstration, Bayesian inference, intent detection, safe and optimal control, assistive autonomy, and user study design. Students review and present existing literature, conduct a research project. Pre: Graduate Standing.
Graduate
Lecture, Online Lecture
3
3
ME 5854G
Advanced Nano and Micromechanics of Materials
Analysis of microstructural mechanics, crystal structures, defects, and dislocations. Mechanical behavior of crystalline materials at the microscale. Computational modeling of mechanical behavior in discrete atomistic and molecular systems, including molecular dynamics. Application of these methods to polymers and other soft materials, biological materials, carbon-based materials, and metallic alloys. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
3
3
ME 5864G
Advanced Micro/Nano-Robotics
Overview of micro/nano-robotic systems, physics of reduced length scales (scaling effects in the physical parameters, surface forces, contact mechanics, and micro/nano-scale dynamical phenomena), basics of micro/nano manufacturing, microfabrication and soft lithography, biomimetic design strategies for mobile micro-robots, principle of transduction, material properties and characteristics of micro/nano-actuators (piezoelectric, shape memory alloy, and a variety of MEMS and polymer actuators), control requirements and challenges of micro/nano-actuators, micro/nano sensors for mobile microrobotic applications, micro/nano-manipulation (scanning probe microscopy, operation principles, designing experiments for nanoscale mechanical characterization of desired samples). Pre-requisite: Graduate Standing required
Graduate
Lecture, Online Lecture
3
3
ME 5874
Experimental Robotics
Robot Operating System (ROS) installation and operation, Linux, MATLAB and TCP communication with ROS, Integration of sensor, actuator, microcontroller and onboard computer, Object recognition, Simultaneous localization and mapping, Bayesian control. Pre: Graduate standing.
Graduate
Lecture, Online Lecture
3
3
ME 5904
Project and Report
Graduate
Research, Online Research
1 TO 19
ME 5944
ME Graduate Seminar
This course will consist of a series of 50-minute lectures given by invited guests from industry, government organizations, and other universities as well as ME Ph.D students. May be repeated for a maximum of 6 credits. Graduate standing required.
Graduate
Lecture, Online Lecture
1
1
ME 5974
Independent Study
Graduate
Independent Study, VI
1 TO 19
1 TO 19
ME 5984
Special Study
Graduate
Lecture, Online Lecture
1 TO 19
1 TO 19
ME 5994
Research and Thesis
Graduate
Research, Online Research
1 TO 19
ME 6014
Mechanical Engineering Professoriate Preparation Seminar
Training for doctoral students mechanical and nuclear engineering preparing for an academic career. Course development and enhancement. Pedagogy and teaching preparation. Student recruitment, advising, mentoring, and retention issues. Marketing and networking. Research initiation, funding, and productivity metrics. Research teams and collaboration. Publications and intellectual property. Ethical behavior. Academic career planning and promotion and tenure. Restricted to students enrolled in the Graduate Certificate: Mechanical Engineering Professorate. Pre: Graduate standing.
Graduate
Lab, Lecture, VB, Online Lecture
1
2
ME 6104
Advanced Topics in Thermodynamics
Exposition of the basic concepts and principles of statistical thermodynamics including statistical mechanics, probability theory, quantum mechanics, kinetic theory, and thermo-physical and transport properties. Presentation of the basic concepts and principles of gas dynamics for compressible flow within normal temperature ranges (i.e. excluding the very high temperatures at which plasmas form). A more in depth look at chemical thermodynamics including chemical equilibrium and chemical kinetics. II.
Graduate
Lecture, Online Lecture
3
3
ME 5104
ME 6434 (AOE 6434)
Computational Fluid Dynamics and Heat Transfer
Overview of numerical methods used in the study of computational fluid dynamics (CFD) and heat transfer. Spatio-temporal finite-difference, finite-volume discretizations, solution of linear systems with direct and iterative methods, algorithms for solving the Navier Stokes and energy equations, and turbulence modeling. Applications to inviscid subsonic, transonic, and supersonic flows and viscous boundary layer. Theory reinforced with hands on programming assignments and the application of commercial CFD packages to select problems.
Graduate
Lecture, Online Lecture
3
3
ME 5404, ME 5314, ME 5104
ME 6444 (CS 6444) (AOE 6444)
Verification and Validation in Scientific Computing
Applicable to scientific and engineering models described by partial differential or integral equations. Software engineering, code verification, and the method of manufactured solutions for generating exact solutions. Estimation of numerical approximation errors in scientific computing. Design and execution of experiments for model validation and model accuracy assessment. Propagation of aleatory and epistemic uncertainty through models. Estimation of total prediction uncertainty in scientific computing simulations. Graduate Standing required
Graduate
Lecture, Online Lecture
3
3
ME 6504
Nonlinear Vibrations and Applications
Stability, floquet theory, and bifurcation; phase-plane; asymptotic and perturbation methods; internal, primary, secondary, and parametric resonances; singular point, limit cycles, and chaos; cables and beams; piezoelectric and electromagnetic based nonlinear energy harvesting; nonlinear vibration absorbers and energy sink; friction-induced oscillations; wind-induced vibrations; microelectro mechanical systems (MEMS) sensors/actuators; and wave propagation, nonlinear metamaterials.
Graduate
Lecture, Online Lecture
3
3
ME 5514
ME 6544 (AOE 6744) (ECE 6744)
Linear Control Theory
Advanced introduction to the theory of optimal control of time-varying and time-invariant linear systems; Solutions to the linear-quadratic regulator, optimal filtering, and linear-quadratic-gaussian problems; Robustness analysis and techniques to enhance robustness of controllers.
Graduate
Lecture, Online Lecture
3
3
ECE 5744 OR ECE 5754 OR ME 5544 OR ME 5554 OR AOE 5744 OR AOE 5754
ME 6574 (ECE 6774) (ISE 6574) (AOE 6774)
Adaptive Control Systems
Introduction to the theory and methodology used to design adaptive controllers for uncertain systems, addressing issue such as input constraints, disturbance rejection, partial measurements, and robustness.
Graduate
Lecture, Online Lecture
3
3
(ECE 5774, ECE 5744) OR (ME 5544, ME 5574) OR (AOE 5774, AOE 5744)
ME 6744
Chaos & Nonlinear Dynamics
Overview of theoretical and numerical approaches for the study of nonlinear and chaotic dynamics in science and engineering. Fractals, bifurcation analysis, predictability, strange attractors, and routes to chaos. Roles of dissipation and noise in deterministic chaos. Use of Lyapunov spectra, fractal dimension, information, entropy, correlation functions, and attractor reconstruction to describe chaos. Chaos in iterated maps and systems of nonlinear ordinary differential equations. Spatiotemporal chaos in coupled map-lattices and in systems of nonlinear partial differential equations. Numerical integration of systems of stiff equations, operator splitting, exponential time integration, spectral and pseudo-spectral methods.
Graduate
Lecture, Online Lecture
3
3
ME 5404, ME 5744
ME 6804
Feedback Control of Dynamic Legged Locomotion
Modeling and control methodologies for bio-inspired robots (bipedal and quadrupedal robots), dynamic stability and robustness of gaits, nonlinear controller techniques for agile locomotion, optimization-based techniques for gait planning and numerical simulation of legged machines.
Graduate
Lecture, Online Lecture
3
3
ME 5574
ME 6984
Special Study
Graduate
Lecture, Online Lecture
1 TO 19
1 TO 19
ME 7994
Research and Dissertation
Graduate
Research, Online Research
1 TO 19