Any experimental courses offered by M E can be found at: registrar.iastate.edu/faculty-staff/courses/explistings/
Courses
Courses primarily for undergraduates:
(2-2) Cr. 3. F.S.
Prereq: M E majors only. MATH 142 or MATH 143 or MATH 145; credit or enrollment in MATH 165.
Introduction to the field of Mechanical Engineering through problem-solving in a range of topics including statics, mechanics of materials and thermo-fluids. Techniques to professionally present and communicate solutions. Use of MATLAB computer programming to aid problem solving, including curve fitting and graphing.
Only one of M E 160, ENGR 160, Aer E 160, C E 160, CPR E 185, E E 185, S E 185 and I E 148 may count towards graduation.
(2-2) Cr. 3. F.S.
Prereq: Satisfactory scores on mathematics placement assessments; credit or enrollment in MATH 142 or MATH 143 or MATH 145
Integration of fundamental graphics, computer modeling, and engineering design. Applications of multiview drawings and dimensioning. Techniques for visualizing, analyzing, and communicating 3-D geometries. Application of the design process including written and oral reports. Freehand and computer methods.
(1-0) Cr. 1. Repeatable. F.S.
Enrollment in M E learning communities.
Cr. R. F.S.
Prereq: Credit or Enrollment in M E 231
Preparation for a career in mechanical engineering; discussion of opportunities for leadership, undergraduate research, experiential learning.
(Cross-listed with ANTHR, ENV S, GLOBE, MAT E, SOC). (3-0) Cr. 3. F.S.
An introduction to understanding the key global issues in sustainability. Focuses on interconnected roles of energy, materials, human resources, economics, and technology in building and maintaining sustainable systems. Applications discussed will include challenges in both the developed and developing world and will examine the role of technology in a resource-constrained world.
Cannot be used for technical elective credit in any engineering department.
Meets International Perspectives Requirement.
(1-6) Cr. 3. F.S.
Prereq: M E 160 or equivalent, M E 170 or equivalent, PHYS 221
Overview of mechanical engineering design with applications to thermal and mechanical systems. Introduction to current design practices used in industry. Semester-long team project focused on addressing societal needs. Past projects include designing human powered charging systems and products for developing nations.
(3-0) Cr. 3. F.S.SS.
Prereq: M E 231
Gas power cycles. Fundamentals of gas mixtures, psychrometry, and thermochemistry. Applications to one-dimensional compressible flow, refrigeration, air conditioning and combustion processes.
(3-2) Cr. 4. F.S.SS.
Prereq: M E 345, MATH 265, MATH 266 or MATH 267, credit or enrollment in M E 332.
Incompressible and compressible fluid flow fundamentals. Dimensional analysis and similitude. Internal and external flow applications. Lab experiments emphasizing concepts in thermodynamics and fluid flow. Written reports are required.
Cr. R. Repeatable. SS.
Prereq: Permission of department and Engineering Career Services
Professional work period of at least 10 weeks during the summer. Students must register for this course prior to commencing work.
Offered on a satisfactory-fail basis only.
Cr. R. Repeatable. F.S.
Prereq: Permission of department and Engineering Career Services
Professional work period. One semester per academic or calendar year. Students must register for this course before commencing work.
Offered on a satisfactory-fail basis only.
Cr. 1. Alt. S., offered irregularly.
Prereq: Acceptance into Study Abroad Program.
A pre-departure course for M E 402. Safety and health issues while on site; travel logistics; required travel documents and deadlines; cultural norms.
Offered on a satisfactory-fail basis only.
(1-4) Cr. 3. Alt. SS., offered irregularly.
Prereq: M E 401
Design methodology and field engineering principles for use in engineering problem solving in developing nations; application of principals will be on site. Awareness of culture, use of local artisans, crafts people and engineers will be emphasized for the purpose of ensuring sustainable and appropriate technology.
Meets International Perspectives Requirement.
(2-2) Cr. 3. Alt. S., offered irregularly.
Prereq: E E 442, E E 448, credit or enrollment in M E 421
Fundamentals of sensor characterization, signal conditioning and motion control, coupled with concepts of embedded computer control. Digital and analog components used for interfacing with computer controlled systems. Mechanical system analysis combined with various control approaches. Focus on automation of hydraulic actuation processes. Laboratory experiences provide hands-on development of mechanical systems.
(2-2) Cr. 3. F.
Prereq: M E 421
Methods and principles of automatic control. Pneumatic, hydraulic, and electrical systems. Representative applications of automatic control systems. Mathematical analysis of control systems.
(3-0) Cr. 3. F.
Prereq: Credit or enrollment in M E 325
The study of ethics in engineering design and the engineering profession. A comprehensive look at when ethical decisions must be made and an approach to make them. The approach takes into account moral, legal, technical, experiential, and standards to aid in ethical decision making. Each area will be studied through lectures, debates, guest speakers, class discussion, and case studies.
(Cross-listed with A B E). (2-2) Cr. 3. F.
Prereq: Credit or enrollment in E M 378 or M E 335, A B E 216 or M E 270
Fundamental fluid power principles, symbols and schematics. Hydraulic fluid properties. Function and performance of components such as connections and fittings, filtration, pumps, valves, actuators, hydrostatic transmissions. Hydraulic system dynamics. Modeling and simulation of circuits. Analysis and design of hydraulic systems. Hydrostatic transmission design. Hands-on construction of circuits, measurement of system variables, and electrohydraulic control.
(0-6) Cr. 3. F.S.
Prereq: M E 324, M E 325
Mechanical Engineering Capstone Design course. Team approach to solving design problems involving mechanical systems. Teams will use current design practices they will encounter in industry. Document decisions concerning form and function, material specification, manufacturing methods, safety, cost, and conformance with codes and standards. Solution description includes oral and written reports. Projects often worked with industry sponsors.
Cr. 3. S.
Prereq: M E 325
An introduction to the design and analysis of mechanisms and the use of prescribed design methodologies to identify design requirements and achieve desired motion profiles. Topics include fundamental mechanism kinematics; graphical and analytical mechanism synthesis methods; velocity and acceleration analysis; and the design of linkages, cams and gear trains. Significant amount of team-based problem solving and the development of physical and computational models to assist in the design process.
(Dual-listed with M E 517). (3-0) Cr. 3. F.
Prereq: M E 325, MAT E 273
Stress life, strain life, and fracture mechanics approaches to fatigue life and design with metals, polymers and ceramics. Introduction to material selection in design of machine components. Thermal and structural considerations in design of machine components and hybrid materials. Course project and relevant literature review required for graduate credit.
(Dual-listed with M E 518). (3-0) Cr. 3. S.
Prereq: Credit or enrollment in M E 421
Three dimensional kinematics, dynamics, and control of robot manipulators, hardware elements and sensors. Laboratory experiments using industrial robots.
(3-0) Cr. 3. F.S.
Prereq: M E 325
Theory and applications of computer- aided design. Computer graphics programming, solid modeling, assembly modeling, and finite element modeling. Mechanical simulation, process engineering, rapid prototyping and manufacturing integration.
(3-2) Cr. 4. F.S.SS.
Prereq: E E 442, E E 448, M E 345, MATH 267
Modeling and simulation of mechanical, electrical, fluid, and/or thermal systems. Development of equations of motion and dynamic response characteristics in time and frequency domains. Fundamentals of classical control applications, including mathematical analysis and design for closed loop control systems. Introduction to computer interfacing for simulation, data acquisition, and control. Laboratory exercises for hands-on system investigation and control implementation.
(Dual-listed with M E 525). (3-0) Cr. 3. F.
Prereq: M E 160, MATH 265
Optimization involves finding the 'best' according to specified criteria. Review of a range of optimization methods from traditional nonlinear to modern evolutionary methods such as Genetic algorithms. Examination of how these methods can be used to solve a wide variety of design problems across disciplines, including mechanical systems design, biomedical device design, biomedical imaging, and interaction with digital medical data. Students will gain knowledge of numerical optimization algorithms and sufficient understanding of the strengths and weaknesses of these algorithms to apply them appropriately in engineering design. Experience includes code writing and off-the-shelf routines. Numerous case-studies of real-world situations in which problems were modeled and solved using advanced optimization techniques.
Cr. 3. Alt. S., offered odd-numbered years.
Prereq: M E 345
Analysis and evaluation of the performance of cars, trucks and other surface vehicles. Computer simulation of ride, braking, and directional response. Considerations in the design and fabrication of suspension systems.
(3-0) Cr. 3. F.
Prereq: PHYS 221 and PHYS 232 and PHYS 232L and CHEM 167
Basic principles, performance, and cost analysis of alternative energy systems including biofuels, bioenergy, wind, solar, fuel cells, storage and other alternative energy systems. Performance analysis and operating principles of systems and components, and economic analysis for system design and operation will be taught. Emphasis is on alternative energy technologies needed to meet our future energy needs at various scales ranging from household to city to national levels.
(3-2) Cr. 4. F.S.SS.
Prereq: M E 335
Heat transfer by conduction, convection, and radiation. Similarity concepts in heat, mass, and momentum transfer. Methods for determination of heat transfer coefficients. Combined modes of heat transfer. Heat exchangers. Lab experiments emphasizing concepts in thermodynamics and heat transfer. Written reports are required.
(3-0) Cr. 3. S.
Prereq: Credit in M E 332 or equivalent.
Introduction to the fundamentals of combustion and the analysis of combustion systems for gaseous, liquid, and solid fuels-including biomass fuels. Combustion fundamentals are applied to the analysis of engines; turbines, biomass cookstoves; suspension, fixed-bed, and fluidized-bed furnaces; and other combustion devices.
(3-0) Cr. 3. F.
Prereq: Credit or enrollment in M E 436
Space conditioning and moist air processes. Application of thermodynamics, heat transfer, and fluid flow principles to the analysis of heating, ventilating, and air conditioning components and systems. Performance and specification of components and systems.
(1-5) Cr. 3. S.
Prereq: M E 441 or with Instructor Permission
Design criteria and assessment of building environment and energy requirements. Design of heating, ventilating, and air conditioning systems. System control and economic analysis. Oral and written reports required.
(3-0) Cr. 3. S.
Prereq: M E 332, credit or enrollment in M E 335
Basic principles, thermodynamics, engineering analysis of power plant systems. Topics include existing power plant technologies, the advanced energyplex systems of the future, societal impacts of power production, and environmental and regulatory concerns.
(Cross-listed with AER E). (3-0) Cr. 3. S.
Prereq: AER E 311 or M E 335
Applications of principles of fluid mechanics and thermodynamics in performance analysis and design of turbomachines. Conceptual and preliminary design of axial and radial flow compressors and turbines using velocity triangles and through-flow approaches.
(3-1) Cr. 3. F.
Prereq: M E 332
Basic principles, thermodynamics, combustion, and exhaust emissions of spark-ignition and compression-ignition engines. Laboratory determination of fuel properties and engine performance. Effects of engine components and operating conditions on performance. Written reports required.
(Cross-listed with E E, E M). (2-2) Cr. 3. Alt. S., offered even-numbered years.
Prereq: PHYS 221 and MATH 266 or MATH 267
The basics of acoustic wave propagation in fluids with an emphasis on sound propagation in air. Topics include transmission and reflection of sound at a boundary; role of acoustic sources in directing sound fields; diffraction of sound around solid objects; reverberation of sound in a room; and the measurement of sound fields.
(Dual-listed with M E 556). Cr. 3. Repeatable. Alt. F., offered odd-numbered years.
Prereq: MATH 317, M E 421 or permission of instructor
Practical imaging processing techniques, geometric optics, and mathematics behind machine vision, as well as the most advanced 3D vision techniques. Experience with practical vision system development and analysis. Assignments include individual bi-weekly homework; weekly readings and lectures; and a semester-long research project on design and experiment vision systems.
(Cross-listed with A B E, AER E, B M E, CPR E, E E, ENGR, I E, MAT E). (1-4) Cr. 3. Repeatable. F.S.
Prereq: Student must be within two semesters of graduation; permission of instructor.
Application of team design concepts to projects of a multidisciplinary nature. Concurrent treatment of design, manufacturing, and life cycle considerations. Application of design tools such as CAD, CAM, and FEM. Design methodologies, project scheduling, cost estimating, quality control, manufacturing processes. Development of a prototype and appropriate documentation in the form of written reports, oral presentations and computer models and engineering drawings.
(Cross-listed with AER E, ENGR, I E, MAT E). (1-4) Cr. 3. Repeatable, maximum of 2 times. Alt. F., offered irregularly.Alt. S., offered irregularly.
Prereq: Student must be within two semesters of graduation or receive permission of instructor.
Build and test of a conceptual design. Detail design, manufacturability, test criteria and procedures. Application of design tools such as CAD and CAM and manufacturing techniques such as rapid prototyping. Development and testing of a full-scale prototype with appropriate documentation in the form of design journals, written reports, oral presentations and computer models and engineering drawings.
(3-0) Cr. 3. S.
Prereq: M E 421, credit or enrollment in M E 436
Introduction to computer solution techniques required to simulate flow, thermal, and mechanical systems. Methods of solving ordinary and partial differential equations and systems of algebraic equations; interpolation, numerical integration; finite difference and finite element methods.
(Dual-listed with M E 584). (Cross-listed with WLC). (3-0) Cr. 3. F.
Prereq: junior or senior classification for M E 484; graduate classification for M E 584
Cross-disciplinary examination of the present and future impact of globalization with a focus on preparing students for leadership roles in diverse professional, social, and cultural contexts. Facilitate an understanding of the threats and opportunities inherent in the globalization process as they are perceived by practicing professionals and articulated in debates on globalization. Use of a digital forum for presenting and analyzing globalization issues by on-campus and off-campus specialists.
Meets International Perspectives Requirement.
Cr. 1-6. Repeatable.
Investigation of topics holding special interest of students and faculty. Election of course and topic must be approved in advance by supervising faculty.
Cr. 1-6. Repeatable.
Investigation of topics holding special interest of students and faculty. Election of course and topic must be approved in advance by supervising faculty.
Cr. 1-6. Repeatable.
Investigation of topics holding special interest of students and faculty. Election of course and topic must be approved in advance by supervising faculty.
Cr. 1-6. Repeatable.
Investigation of topics holding special interest of students and faculty. Election of course and topic must be approved in advance by supervising faculty.
Courses primarily for graduate students, open to qualified undergraduates:
(3-0) Cr. 3. S.
Prereq: Previous coursework in introductory physics and chemistry is recommended.
Introduction to the science and engineering of converting biorenewable resources into bioenergy and biobased products. Survey of biorenewable resource base and properties; description of biofuels and biobased products; production of biorenewable resources; processing technologies for fuels, chemicals, materials, and energy; environmental impacts; technoeconomic analysis of production and processing; and biofuels policy.
Cr. 3. Alt. S., offered even-numbered years.
Prereq: M E 436 (Heat Transfer) or an undergraduate class on transport phenomena, or Instructor’s permission
Analysis of transport phenomena and its application to the field of microfluidics. Conservation equations of mass, momentum and energy are derived from first principles and applied to contemporary topics in microfluidics such as organs-on-a-chip, point-of-care and separation processes. The conservation equations are used to model hydrodynamics and random walk diffusion of multiphase microfluidic systems. Advanced microfluidic topics, such as interfacial transport involving capillary interactions, electrostatic forces, and chemical gradients are discussed into order to describe a variety of phenomena observed in microfluidic devices. Numerical models based on finite element modeling and molecular dynamic simulation techniques are discussed as one approach to designing microfluidic devices such as pumps, micromixers, actuators, and filters.
Cr. 3. Alt. F., offered even-numbered years.
Prereq: Graduate standing.
Economics and policy for U.S. energy systems, with an emphasis on connections to engineering. Topics include: economic analysis of conventional energy commodity markets and technologies, deregulated electricity markets, and emerging energy technologies; demand forecasting; economic and environmental policy in energy; integrated assessment; and semester-specific contemporary issues.
Economics majors may not apply this course towards graduation.
(3-0) Cr. 3. Alt. F., offered odd-numbered years.
Prereq: M E 411
Application of control design methods using continuous, discrete, and frequency-based models. Approaches include classical, pole assignment, model reference, internal model, and adaptive control methods. Mechanical design projects.
(Dual-listed with M E 417). (3-0) Cr. 3. F.
Prereq: M E 325, MAT E 273
Stress life, strain life, and fracture mechanics approaches to fatigue life and design with metals, polymers and ceramics. Introduction to material selection in design of machine components. Thermal and structural considerations in design of machine components and hybrid materials. Course project and relevant literature review required for graduate credit.
(Dual-listed with M E 418). (3-0) Cr. 3. S.
Prereq: Credit or enrollment in M E 421
Three dimensional kinematics, dynamics, and control of robot manipulators, hardware elements and sensors. Laboratory experiments using industrial robots.
(Cross-listed with M S E). (3-0) Cr. 3. S.
Prereq: M E 324 or MAT E 272 and E M 324
Effect of chemical structure and morphology on properties. Linear viscoelasticity, damping and stress relaxation phenomena. Structure and mechanics of filler and fiber reinforced composites. Mechanical properties and failure mechanisms. Material selection and designing with polymers. Processing of polymer and composite parts.
(Dual-listed with M E 425). (3-0) Cr. 3. F.
Prereq: M E 160, MATH 265
Optimization involves finding the 'best' according to specified criteria. Review of a range of optimization methods from traditional nonlinear to modern evolutionary methods such as Genetic algorithms. Examination of how these methods can be used to solve a wide variety of design problems across disciplines, including mechanical systems design, biomedical device design, biomedical imaging, and interaction with digital medical data. Students will gain knowledge of numerical optimization algorithms and sufficient understanding of the strengths and weaknesses of these algorithms to apply them appropriately in engineering design. Experience includes code writing and off-the-shelf routines. Numerous case-studies of real-world situations in which problems were modeled and solved using advanced optimization techniques.
(3-0) Cr. 3. Alt. F., offered even-numbered years.
Prereq: M E 324
Mechanics of material removal for ductile materials. Shear zone theory. Oblique cutting. Heat transfer in machining. Milling and grinding. Mechanics of material removal for brittle materials. Optimal selection and design of cutting parameters. Control of machining processes. Principles of precision finishing. Design considerations for machining and finishing processes.
(3-0) Cr. 3. Alt. F., offered odd-numbered years.
Prereq: M E 324
Concepts and applications of micro/nanotechnology appropriate to the manufacturing field. An overview of micro/nano-fabrication techniques including mechanical, EDM, laser and lithography. MEMS device fabrication. Scaling laws. Top down and bottom up approaches of nanomanufacturing. Experimental or theoretical project leading to potential submission of a manuscript for journal or conference.
(3-0) Cr. 3. F.
Prereq: M E 332
Fundamentals of thermodynamics from the classical viewpoint with emphasis on the use of the first and second laws for analysis of thermal systems. Generalized thermodynamic relationships. Computer applications of thermodynamic properties and system analysis. Selected topics.
Cr. 3. S.
Prereq: M E 231 or M E 332 or graduate standing or instructor permission
Introduction to energy systems including economic and thermodynamic principles. Various production systems will be analyzed. Application to transportation and building systems will be emphasized. Sustainability, climate change and other current energy system topics.
(Cross-listed with AER E). (3-0) Cr. 3. S.
Prereq: AER E 310, 311 or equivalent
Thermodynamics of compressible flow. Viscous and inviscid compressible flow equations. One dimensional steady flow; isentropic flow, shocks, expansions. Multidimensional compressible flow aspects. Linear and nonlinear wave analysis and method of characteristics. Subsonic, transonic, supersonic and hypersonic flows.
Cr. 3. Alt. S., offered even-numbered years.
Prereq: M E 231; MATH 267; M E 335 or AER E 310 Recommend: M E 436; AER E 311; M E 437 or M E 542
Introduction to energetic materials (classes of energetics, their use, safety, analysis of multiphase deflagration/detonation reaction wave structures), their application (e.g. pyrotechnics, chemical propulsion systems, explosives), system performance analysis, common measurement techniques, and societal/environmental implications.
(3-0) Cr. 3. Alt. F., offered odd-numbered years.
Prereq: M E 332 or graduate status
Introduction to thermal and catalytic processes for the conversion of biomass to biofuels and other biobased products. Topics include gasification, fast pyrolysis, hydrothermal processing, syngas to synfuels, and bio-oil upgrading. Application of thermodynamics, heat transfer, and fluid dynamics to bioenergy and biofuels.
(3-0) Cr. 3. S.
Prereq: M E 436
Advanced treatment of heat transmission by conduction, convection, and radiation.
(3-0) Cr. 3. F.
Prereq: Credit or enrollment in M E 436
Detailed analysis of incompressible/compressible, viscous/inviscid, laminar/turbulent, and developing fluid flows on a particle/point control volume basis.
(3-0) Cr. 3. Alt. F., offered odd-numbered years.
Prereq: M E 332 or CH E 381
Thermochemistry and transport theory applied to combustion. Gas phase equilibrium. Energy balances. Reaction kinetics. Flame temperatures, speed, ignition, and extinction. Premixed and diffusion flames. Combustion aerodynamics. Mechanisms of air pollution.
(Cross-listed with E M). (3-0) Cr. 3. Alt. S., offered odd-numbered years.
Vibrations of continuous systems. Nonlinear vibration phenomena, perturbation expansions; methods of multiple time scales and slowly-varying amplitude and phase. Characteristics of random vibrations; random processes, probability distributions, spectral density and its significance, the normal or Gaussian random process. Transmission of random vibration, response of simple single and two-degree-of-freedom systems to stationary random excitation. Fatigue failure due to random excitation.
(3-0) Cr. 3. Alt. S., offered odd-numbered years.
Prereq: M E 436
Integrating thermodynamics, fluid mechanics, and heat transfer to model thermal equipment and to simulate thermal systems. Second law and parametric analysis; cost estimation, life cycle analysis and optimization. Some computer programming required.
(Cross-listed with AER E). (3-0) Cr. 3. F.
Prereq: AER E 310 or M E 335, and programming experience
Basic concepts of discretization, consistency, and stability. Explicit and implicit methods for ordinary differential equations. Methods for each type of partial differential equation. Iterative solution methods; curvilinear grids. Students will program basic algorithms.
(Cross-listed with AER E). (3-0) Cr. 3. S.
Prereq: AER E 546 or equivalent
Application of computational methods to current problems in fluid mechanics and heat transfer. Methods for solving the Navier-Stokes and reduced equation sets such as the Euler, boundary layer, and parabolized forms of the conservation equations. Introduction to relevant aspects of grid generation and turbulence modeling.
Cr. 3. Alt. F., offered even-numbered years.
Prereq: Graduate status or Advanced undergraduates (junior or senior). Recommend a basic background in engineering and one or more introductory biology courses.
Extensive overview of biosensors including biological/biomedical microelectromechanical (Bio-MEMs) systems and bioanalytical devices with an introduction to fundamental principles, detection methods, and miniaturization techniques. Fundamental biosensor theory including biorecognition, transduction, signal acquisition, and post processing/data analysis will be discussed. Distinct sensing modalities (e.g., electrochemical, optical, thermal and mass based), biorecognition agents (e.g., enzymes, antibodies, aptamers, whole cells/tissues, genetically engineered proteins) and advanced transduction materials (e.g., carbon nanotubes, graphene, quantum/carbon dots, and polymers/hydrogels) and their use in the context of specific applications (e.g., biomedical, environmental, food safety) will be reviewed in detail. Additionally, students will design a theoretical biosensor and present their design in a written proposal and oral presentation.
(Cross-listed with E M). (3-0) Cr. 3. Alt. F., offered irregularly.
Prereq: E M 451
Theoretical acoustics: wave propagation in fluids; acoustic radiation, diffraction and scattering; nonlinear acoustics; radiation force; cavitation; and ray acoustics.
(Dual-listed with M E 456). Cr. 3. Repeatable. Alt. F., offered odd-numbered years.
Prereq: MATH 317, M E 421 or permission of instructor
Practical imaging processing techniques, geometric optics, and mathematics behind machine vision, as well as the most advanced 3D vision techniques. Experience with practical vision system development and analysis. Assignments include individual bi-weekly homework; weekly readings and lectures; and a semester-long research project on design and experiment vision systems.
(Cross-listed with COM S, CPR E). (3-0) Cr. 3. Alt. F., offered odd-numbered years.
Prereq: M E 421 or instructor permission
Fundamentals of computer graphics technology. Data structures. Parametric curve and surface modeling. Solid model representations. Applications in engineering design, analysis, and manufacturing.
(2-2) Cr. 3. Alt. F., offered irregularly.
Prereq: First year physics, chemistry
Introduction to the scanning probe microscope (SPM, also known as atomic force microscope or AFM) and associated measurement techniques. Overview or instrumentation system, basic principles of operation, probe-sample interaction and various operational modes to obtain micro/nanoscale structure and force spectroscopy of material surfaces. Examples of SPM significance and applications in science and engineering research, nanotechnology and other industries. Laboratory work involving use of a scanning probe microscope system is an integral part of the course.
(3-0) Cr. 3. Alt. S., offered odd-numbered years.
Prereq: E M 324 and M E 325
Review of Fundamentals: (Elasticity, Electromagnetism, Mechanical response), Mechanics of thermally, electrostatically and magnetically actuated microsystems, Mechanics and design of nanostructured materials, mechanics of surface stress engineering and its implications to sensors and thin film structures.
(Cross-listed with AER E, E M, M S E). (3-0) Cr. 3. Alt. F., offered even-numbered years.
Prereq: E M 324 and either MAT E 216 or MAT E 273 or MAT E 392. Undergraduates: Permission of instructor
Materials and mechanics approach to fracture and fatigue. Fracture mechanics, brittle and ductile fracture, fracture and fatigue characteristics, fracture of thin films and layered structures. Fracture and fatigue tests, mechanics and materials designed to avoid fracture or fatigue.
(Cross-listed with E M). (3-0) Cr. 3. S.
Prereq: EM 510 or EM 516 or EM 514
Continuum thermodynamics and kinetics approaches to phase transformations. Phase field approach to stress- and temperature-induced martensitic transformations and twinning at the nanoscale. Nucleation and growth. Nanostructural evaluation. Analytical and numerical solutions. Surface stresses and energy. Surface-induced phase transformations. Large Strain formulation.
Cr. 3. Alt. F., offered even-numbered years.
Prereq: M E 170 and M E 419, or Instructor Permission
Theory and applications of solid modeling and introduction to parallel computing using the graphic processing unit (GPU). Topics include solid modeling fundamentals, representations of solid geometry, introduction to parallel programming using CUDA, and applications of GPU algorithms. Design and analysis software include SolidWorks and programming using either C or Python, and NVIDIA CUDA.
(Cross-listed with AER E, E E). (3-0) Cr. 3. F.
Prereq: E E 324 or AER E 331 or M E 370 or M E 411 or MATH 341
Elementary notions of probability. Random processes. Autocorrelation and spectral functions. Estimation of spectrum from finite data. Response of linear systems to random inputs. Discrete and continuous Kalman filter theory and applications. Smoothing and prediction. Linearization of nonlinear dynamics.
(Cross-listed with AER E, E E). (3-0) Cr. 3. S.
Prereq: E E 577
The optimal control problem. Variational approach. Pontryagin's principle, Hamilton-Jacobi equation. Dynamic programming. Time-optimal, minimum fuel, minimum energy control systems. The regulator problem. Structures and properties of optimal controls.
(Cross-listed with AER E, E E). (3-0) Cr. 3.
Prereq: E E 577
Introduction to modern robust control. Model and signal uncertainty in control systems. Uncertainty description. Stability and performance robustness to uncertainty. Solutions to the H2, Hoo, and l1 control problems. Tools for robustness analysis and synthesis.
(Cross-listed with AER E, E E). (3-0) Cr. 3. F.
Prereq: E E 475 or AER E 432 or M E 411 or MATH 415; and MATH 267
Sampled data, discrete data, and the z-transform. Design of digital control systems using transform methods: root locus, frequency response and direct design methods. Design using state-space methods. Controllability, observability, pole placement, state estimators. Digital filters in control systems. Microcomputer implementation of digital filters. Finite wordlength effects. Linear quadratic optimal control in digital control systems. Simulation of digital control systems.
(Cross-listed with AER E, E E, MATH). (3-0) Cr. 3. F.
Prereq: E E 324 or AER E 331 or MATH 415; and MATH 207
Linear algebra review. Least square method and singular value decomposition. State space modeling of linear continuous-time systems. Solution of linear systems. Controllability and observability. Canonical description of linear equations. Stability of linear systems. State feedback and pole placements. Observer design for linear systems.
(Cross-listed with AER E, E E, MATH). (3-0) Cr. 3. S.
Prereq: E E 577
Linear vs nonlinear systems. Phase plane analysis. Bifurcation and center manifold theory. Lyapunov stability. Absolute stability of feedback systems. Input-output stability. Passivity theory and feedback linearization. Nonlinear control design techniques.
(Cross-listed with HCI). (3-0) Cr. 3. Alt. S., offered even-numbered years.
Prereq: Senior or Graduate status.
A systematic introduction to the underpinnings of Virtual Environments (VE), Virtual Worlds, advanced displays and immersive technologies; and an overview of some of the applications areas particularly virtual engineering.
(Dual-listed with M E 484). (Cross-listed with WLC). (3-0) Cr. 3. F.
Prereq: junior or senior classification for M E 484; graduate classification for M E 584
Cross-disciplinary examination of the present and future impact of globalization with a focus on preparing students for leadership roles in diverse professional, social, and cultural contexts. Facilitate an understanding of the threats and opportunities inherent in the globalization process as they are perceived by practicing professionals and articulated in debates on globalization. Use of a digital forum for presenting and analyzing globalization issues by on-campus and off-campus specialists.
Meets International Perspectives Requirement.
(Cross-listed with BCB, GDCB). Cr. 4. F.
Principles of engineering, data analysis, and plant sciences and their interplay applied to predictive plant phenomics. Transport phenomena, sensor design, image analysis, graph models, network data analysis, fundamentals of genomics and phenomics. Multidisciplinary laboratory exercises.
Cr. 1-8. Repeatable.
Cr. 1-8. Repeatable.
Cr. 1-8. Repeatable.
Cr. 1-8. Repeatable.
Cr. 1-8. Repeatable.
Cr. 1-8. Repeatable.
Cr. 1-8. Repeatable.
Cr. 3. Alt. S., offered even-numbered years.
Prereq: Linear algebra or MATH 207; probability theory or STAT 231; or instructor permission
Applications of probabilistic and statistical methods to engineering system design and post-design failure prognostics. Hands-on learning of various probabilistic and statistical design methods, such as design of experiments, surrogate modeling, uncertainty quantification, reliability-based design, and robust design. It also covers Bayesian estimation and machine learning methods for post-design failure prognostics.
Cr. 3. S.
Prereq: Basics of linear algebra, probability theory and computer programming
In this course, several data analytics techniques and Machine Learning algorithms will be explored with a strong focus on various applications to cyber-physical systems. The students will have hands-on experience with various analytics tools and data-driven decision-making techniques applied to a diverse set of spatial, temporal and spatiotemporal data emanating from real-life cyber-physical systems such as robots, energy & power systems, design & manufacturing systems, self-driving cars and agricultural systems. Among various machine learning techniques, special emphasis will be given on deep learning, reinforcement learning and probabilistic graphical models. A key highlight of this course is that the assignments and class projects will be designed for individual students or groups based on their specific applications or data sets of interest.
Cr. arr. Repeatable.
Courses for graduate students:
Cr. R. Repeatable.
(1-0).
(3-0) Cr. 3. Alt. F., offered odd-numbered years.
Prereq: M E 557 or instructor permission
Theory and implementation of contemporary parametric sculptured surface modeling technology. Non-uniform rational B-spline (NURBS) curves and surfaces. Fundamental computational algorithms. Construction techniques. Advanced modeling topics. Computer projects.
(Cross-listed with CH E). (3-0) Cr. 3. Alt. S., offered even-numbered years.
Prereq: M E 538
Single particle, mutliparticle and two-phase fluid flow phenomena (gas-solid, liquid-solid and gas-liquid mixtures); particle interactions, transport phenomena, wall effects; bubbles, equations of multiphase flow. Dense phase (fluidized and packed beds) and ducted flows; momentum, heat and mass transfer. Computer solutions.
(3-0) Cr. 3. Alt. F., offered irregularly.
Prereq: M E 436
Convection heat transfer to internal or external flows under laminar or turbulent conditions. Dimensionless parameters. Classical solutions of Newtonian viscous flows. Forced and free convection. Special topics.
(3-0) Cr. 3. Alt. F., offered irregularly.
Prereq: M E 436
Techniques for analysis of radiation in enclosures. Radiative properties of surfaces. Radiative transfer in participating media. Combined modes of transfer. Approximate methods of analysis.
(Cross-listed with AER E). (3-0) Cr. 3. S.
Prereq: AER E 547
An examination of current methods in computational fluid dynamics. Differencing strategies. Advanced solution algorithms for unstructured meshes. Grid generation. Construction of higher-order CFD algorithms. Parallel computing. Current applications. Use of state of the art CFD codes.
Cr. arr. Repeatable.
Investigation of advanced topics of special interest to graduate students in mechanical engineering.
Cr. arr. Repeatable.
Investigation of advanced topics of special interest to graduate students in mechanical engineering.
Cr. arr. Repeatable.
Investigation of advanced topics of special interest to graduate students in mechanical engineering.
Cr. arr. Repeatable.
Investigation of advanced topics of special interest to graduate students in mechanical engineering.
Cr. arr. Repeatable. F.S.SS.
Investigation of Special Topics: Biological and Nanoscale Sciences of special interest to graduate students in mechanical engineering.
Cr. arr. Repeatable. F.S.SS.
Investigation of Special Topics: Complex Fluid Systems of special interest to graduate students in mechanical engineering.
Cr. arr. F.S.SS.
Investigation of Special Topics: Clean Energy Technologies of special interest to graduate students in mechanical engineering.
Cr. arr. Repeatable.
Investigation of Design & Manufacturing Innovation of special interest to graduate students in mechanical engineering.
Cr. arr. Repeatable. F.S.SS.
Investigation of Special Topics: Simulation and Visualization of special interest to graduate students in mechanical engineering.
Cr. R. Repeatable.
Prereq: Permission of Director of Graduate Education, graduate classification
One semester and one summer maximum per academic year professional work period.
Offered on a satisfactory-fail basis only.
Cr. arr. Repeatable.
Offered on a satisfactory-fail basis only.