Mechanical Engineering (ME)

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Courses

Courses primarily for undergraduates:

Credits: 3.

Prereq: ME majors only. MATH 1430 or MATH 1450; credit or enrollment in MATH 1650.
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. Graduation Restriction: Only one of ENGR 1600, ABE 1600, AERE 1600, CE 1600, CHE 1600, CPRE 1850, EE 1850, IE 1480, ME 1600, and SE 1850 may count toward graduation. (Typically Offered: Fall, Spring)

Credits: 3.

Prereq: Credit or concurrent enrollment in MATH 1430 or MATH 1450 (or satisfactory scores on mathematics placement assessments)
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. Satisfactory placement scores can be found at: https://math.iastate.edu/academics/undergraduate/aleks/placement/. (Typically Offered: Fall, Spring)

Credits: 1. Contact Hours: Lecture 1.
Repeatable.

Enrollment in ME learning communities. (Typically Offered: Fall, Spring)

Credits: Required. Contact Hours: Lecture 1.

Prereq: Credit or Enrollment in ME 2310
Preparation for a career in mechanical engineering; discussion of opportunities for leadership, undergraduate research, experiential learning. (Typically Offered: Fall, Spring)

(Cross-listed with ANTHR 2200/ ENVS 2200/ GLOBE 2200/ SOC 2200/ MATE 2200).
Credits: 3. Contact Hours: Lecture 3.

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. Graduation Restriction: Cannot be used for technical elective credit in any engineering department. Meets International Perspectives Requirement. (Typically Offered: Fall, Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: CHEM 1670; MATH 1660 or MATH 1660H; PHYS 2310 or PHYS 2310H; PHYS 2310L
Fundamental concepts based on zeroth, first and second laws of thermodynamics. Properties and processes for ideal gases and solid-liquid-vapor phases of pure substances. Applications to vapor power cycles. (Typically Offered: Fall, Spring, Summer)

Credits: 3. Contact Hours: Lecture 1, Laboratory 6.

Prereq: ME 1600 or (ABE 1600, AERE 1600, BME 1600, CE 1600, CHE 1600, CPRE 1850, EE 1850, ENGR 1600, IE 1480, or SE 1850); ME 1700; PHYS 2310; PHYS 2310L
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. (Typically Offered: Fall, Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ENGR 1600 or equivalent; PHYS 2210
Introduction to the basic concepts of cyber-physical systems (CPS); physical and cyber considerations and constraints for design, analysis, performance monitoring and control of human-engineered physical systems; basic concepts of sensing, information processing and feedback actuation. Substantial hands-on computer programming activity relevant to CPS applications. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 2700, EM 3240, MATE 2730 and ME 3240L
Fundamentals of manufacturing processes including forming, machining, casting and welding with emphasis on design considerations in manufacturing. Mechanical behavior of metallic materials. Modern manufacturing practices. (Typically Offered: Fall, Spring, Summer)

Credits: 1. Contact Hours: Laboratory 2.

Prereq: ENGL 2500; MATE 2730; ME 2700
Laboratory exercises in metrology, mechanical testing (tensile/compression and hardness tests), computer aided design (CAD), machining operations, metal welding, metal casting, and bulk/sheet metal forming. (Typically Offered: Fall, Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 1700, EM 3240, and STAT 3050
Philosophy of design and design methodology. Consideration of stresses and failure models useful for static and fatigue loading. Analysis, selection and synthesis of machine elements. (Typically Offered: Fall, Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 2310
Gas power cycles. Fundamentals of gas mixtures, psychrometry, and thermochemistry. Applications to one-dimensional compressible flow, refrigeration, air conditioning and combustion processes. (Typically Offered: Fall, Spring, Summer)

Credits: 4. Contact Hours: Lecture 3, Laboratory 2.

Prereq: MATH 2650; (MATH 2660 or MATH 2670); (credit or concurrent enrollment in ME 3320); ME 3450
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. (Typically Offered: Fall, Spring, Summer)

Credits: 3. Contact Hours: Lecture 3.

Prereq: CE 2740 and Credit or concurrent enrollment in MATH 2660 or MATH 2670
Particle and rigid body kinematics, Newton's laws of motion, kinetics of plane motion, rigid body problems using work-energy, linear, and angular impulse-momentum principles, vibrations. (Typically Offered: Fall, Spring)

Credits: 3. Contact Hours: Lecture 2, Laboratory 2.

Prereq: EE 4420 and STAT 3050
Fundamentals of design, selection, and operation of components of measuring systems. Measurement processes, data acquisition systems, analysis of data, and propagation of measurement uncertainty. (Typically Offered: Fall, Spring)

(Cross-listed with FSHN 3730).
Credits: 3. Contact Hours: Lecture 1.5, Laboratory 4.5.

Introduction to brewing science and technology. Understanding the role of malts, hops, water, and yeast in production of ale and lager beers. Unit operations in brewing. Health, safety, and environmental sustainability in alcohol production and consumption. Weekly laboratory in practical aspects of beer production. (Typically Offered: Fall, Spring)

Credits: 1. Contact Hours: Lecture 1.

A pre-departure course for ME 4020. Safety and health issues while on site; travel logistics; required travel documents and deadlines; cultural norms. Offered irregularly. Offered on a satisfactory-fail basis only. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 1, Laboratory 4.

Prereq: ME 4010
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. Offered irregularly. Meets International Perspectives Requirement. (Typically Offered: Summer)

Credits: 3. Contact Hours: Lecture 2, Laboratory 2.

Prereq: EE 4420, EE 4480 and Credit or concurrent enrollment in ME 4210
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. Offered irregularly. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 2, Laboratory 2.

Prereq: ME 3700 or (credit or concurrent enrollment in ME 4210)
Methods and principles of automatic control. Pneumatic, hydraulic, and electrical systems. Representative applications of automatic control systems. Mathematical analysis of control systems. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

Prereq: Credit or enrollment in ME 3250
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. (Typically Offered: Fall)

(Cross-listed with ABE 4130).
Credits: 3. Contact Hours: Lecture 2, Laboratory 2.

Prereq: ABE 2160 or ME 2700 and Credit or concurrent enrollment in EM 3780 or ME 3350
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. (Typically Offered: Fall)

Credits: 3. Contact Hours: Laboratory 6.

Prereq: ME 3240, ME 3250
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. (Typically Offered: Fall, Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 3250
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. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 3250, MATE 2730
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. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3, Laboratory 2.

Prereq: Credit or enrollment in ME 4210
Three dimensional kinematics, dynamics, and control of robot manipulators, hardware elements and sensors. Laboratory experiments using industrial robots. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 3250
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. (Typically Offered: Fall, Spring)

Credits: 4. Contact Hours: Lecture 3, Laboratory 2.

Prereq: EE 4420, EE 4480, ME 3450, and MATH 2670
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. (Typically Offered: Fall, Spring, Summer)

(Cross-listed with HCI 4250).
Credits: 3. Contact Hours: Lecture 3.

Prereq: MATH 2650; ME 1600
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. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 3450
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. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: CHEM 1670; PHYS 2320 or PHYS 2320H; PHYS 2320L
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. (Typically Offered: Fall)

Credits: 4. Contact Hours: Lecture 3, Laboratory 2.

Prereq: ME 3350
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. (Typically Offered: Fall, Spring, Summer)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 3250
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. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 3250
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. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 1, Laboratory 5.

Prereq: (ME 4410; credit or concurrent enrollment in ME 4360) or Permission of Instructor
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. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 3320, credit or enrollment in ME 3350
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. (Typically Offered: Spring)

(Cross-listed with AERE 4480).
Credits: 3. Contact Hours: Lecture 3.

Prereq: AERE 3110 or ME 3350
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. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3, Laboratory 1.

Prereq: ME 3250
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. (Typically Offered: Fall)

(Cross-listed with EM 4510/ EE 4510).
Credits: 3. Contact Hours: Lecture 3.

Prereq: MATH 2660 or MATH 2670; PHYS 2310 and 2310L
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. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.
Repeatable.

Prereq: MATH 2070 or MATH 3170 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. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 4210, credit or enrollment in ME 4360
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. (Typically Offered: Spring)

(Cross-listed with WLC 4840/ MKT 4840).
Credits: 3. Contact Hours: Lecture 3.

Prereq: Junior or Senior Classification
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. (Typically Offered: Fall)

Credits: 1-6. Repeatable.

Prereq: Instructor Permission for Course
Investigation of topics holding special interest of students and faculty. Election of course and topic must be approved in advance by supervising faculty.

Credits: 1-6. Repeatable.

Prereq: Instructor Permission for Course
Investigation of topics holding special interest of students and faculty. Election of course and topic must be approved in advance by supervising faculty.

Credits: 1-6. Repeatable.

Prereq: Instructor Permission for Course
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:

Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

Analysis of transport phenome 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 phenome 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. Offered even-numbered years. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

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. Graduation Restriction: Economics majors may not apply this course towards graduation. Offered even-numbered years. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

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. Offered odd-numbered years. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

Three dimensional kinematics, dynamics, and control of robot manipulators, hardware elements and sensors. Laboratory experiments using industrial robots. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

Integration of materials, design and manufacturing. Materials selection. Design for assembly and manufacturing (DFMA). Design and redesign to facilitate cost-effective manufacturing using material selection and DFMA software. Offered irregularly. (Typically Offered: Fall)

(Cross-listed with MSE 5210).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Spring)

(Cross-listed with HCI 5250).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

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. Offered even-numbered years. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

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. Offered odd-numbered years. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

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. Offered even-numbered years. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Spring)

(Cross-listed with AERE 5320).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

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. Offered even-numbered years. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

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. Offered odd-numbered years. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

Advanced treatment of heat transmission by conduction, convection, and radiation. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

Detailed analysis of incompressible/compressible, viscous/inviscid, laminar/turbulent, and developing fluid flows on a particle/point control volume basis. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

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. Offered odd-numbered years. (Typically Offered: Spring)

(Cross-listed with EM 5430).
Credits: 3. Contact Hours: Lecture 3.

Vibrations of continuous systems. Nonlinear vibration phenome, 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. Offered odd-numbered years. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

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. Offered odd-numbered years. (Typically Offered: Spring)

(Cross-listed with AERE 5460).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Fall)

(Cross-listed with AERE 5470).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

Fundamentals of lasers and optical techniques for application in measurements of thermo-fluid systems. Rigorous diffraction theory, theory of laser operation, and applications of theory to measurements using optics and lasers will be covered. The principles of measurement using linear scattering techniques (absorption, Rayleigh and Raman scattering) as well as nonlinear techniques (CARS and multiphoton absorption) will be discussed. Offered even-numbered years. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

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. Offered even-numbered years. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.
Repeatable.

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. Offered odd-numbered years. (Typically Offered: Fall)

(Cross-listed with COMS 5570/ CPRE 5570).
Credits: 3. Contact Hours: Lecture 3.

Fundamentals of computer graphics technology. Data structures. Parametric curve and surface modeling. Solid model representations. Applications in engineering design, analysis, and manufacturing. Offered odd-numbered years. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 2, Laboratory 2.

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. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

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. Offered odd-numbered years. (Typically Offered: Spring)

(Cross-listed with AERE 5640/ EM 5640/ MSE 5640).
Credits: 3. Contact Hours: Lecture 3.

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. Offered even-numbered years. (Typically Offered: Fall)

(Cross-listed with EM 5660).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

Prereq: ME 1700 and ME 4190 or Permission of Instructor
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. Offered even-numbered years. (Typically Offered: Fall)

(Cross-listed with EE 5730/ AERE 5730).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Fall)

(Cross-listed with AERE 5740/ EE 5740).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Spring)

(Cross-listed with AERE 5750/ EE 5750).
Credits: 3. Contact Hours: Lecture 3.

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 AERE 5760/ EE 5760).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Fall)

(Cross-listed with AERE 5770/ EE 5770/ MATH 5770).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Fall)

(Cross-listed with AERE 5780/ EE 5780/ MATH 5780).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Spring)

(Cross-listed with HCI 5800).
Credits: 3. Contact Hours: Lecture 3.

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. Offered even-numbered years. (Typically Offered: Spring)

(Cross-listed with WLC 5840/ MKT 5840).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Fall)

(Cross-listed with BCB 5850/ GDCB 5850).
Credits: 4. Contact Hours: Lecture 3, Laboratory 3.

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. (Typically Offered: Fall)

Credits: 1-8. Repeatable.

Prereq: Instructor Permission for Course
Investigation of advanced topics of special interest to graduate students in mechanical engineering.

Credits: 1-8. Repeatable.

Prereq: Instructor Permission for Course

Credits: 1-8. Repeatable.

Prereq: Instructor Permission for Course

Credits: 1-8. Repeatable.

Prereq: Instructor Permission for Course

Credits: 1-8. Repeatable.

Prereq: Instructor Permission for Course

Credits: 1-8. Repeatable.

Prereq: Instructor Permission for Course

Credits: 3. Contact Hours: Lecture 3.

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. Offered even-numbered years. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Spring)

Credits: 1-30. Repeatable.

Prereq: Instructor Permission for Course

Courses for graduate students:

Credits: Required. Repeatable.

Seminar.

Credits: 3. Contact Hours: Lecture 3.

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. Offered odd-numbered years. (Typically Offered: Fall)

(Cross-listed with CHE 6320).
Credits: 3. Contact Hours: Lecture 3.

Single particle, multiparticle and two-phase fluid flow phenome (gas-solid, liquid-solid and gas-liquid mixtures); particle interactions, transport phenome, wall effects; bubbles, equations of multiphase flow. Dense phase (fluidized and packed beds) and ducted flows; momentum, heat and mass transfer. Computer solutions. Offered even-numbered years. (Typically Offered: Spring)

Credits: 3. Contact Hours: Lecture 3.

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. Offered irregularly. (Typically Offered: Fall)

Credits: 3. Contact Hours: Lecture 3.

Techniques for analysis of radiation in enclosures. Radiative properties of surfaces. Radiative transfer in participating media. Combined modes of transfer. Approximate methods of analysis. (Typically Offered: Fall)

(Cross-listed with AERE 6470).
Credits: 3. Contact Hours: Lecture 3.

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. (Typically Offered: Spring)

Credits: 1-30. Repeatable.

Investigation of advanced topics of special interest to graduate students in mechanical engineering.

Credits: 1-30. Repeatable.

Prereq: Instructor Permission for Course
Investigation of advanced topics of special interest to graduate students in mechanical engineering.

Credits: 1-30. Repeatable.

Prereq: Instructor Permission for Course
Investigation of advanced topics of special interest to graduate students in mechanical engineering.

Credits: 1-30. Repeatable.

Prereq: Instructor Permission for Course
Investigation of Special Topics: Biological and Nanoscale Sciences of special interest to graduate students in mechanical engineering. (Typically Offered: Fall, Spring, Summer)

Credits: 1-30. Repeatable.

Prereq: Instructor Permission for Course
Investigation of Special Topics: Complex Fluid Systems of special interest to graduate students in mechanical engineering. (Typically Offered: Fall, Spring, Summer)

Credits: 1-30. Repeatable.

Prereq: Instructor Permission for Course
Investigation of Special Topics: Clean Energy Technologies of special interest to graduate students in mechanical engineering. (Typically Offered: Fall, Spring, Summer)

Credits: 1-30. Repeatable.

Prereq: Instructor Permission for Course
Investigation of Design & Manufacturing Innovation of special interest to graduate students in mechanical engineering.

Credits: 1-30. Repeatable.

Prereq: Instructor Permission for Course
Investigation of Special Topics: Simulation and Visualization of special interest to graduate students in mechanical engineering. (Typically Offered: Fall, Spring, Summer)

(Cross-listed with AGRON 6930/ BCB 6930/ ENGR 6930/ GENET 6930/ EE 6930).
Credits: 1. Contact Hours: Lecture 3.
Repeatable, maximum of 2 credits.

Understanding key topics of starting a technology based company, from development of technology-led idea to early-stage entrepreneurial business. Concepts discussed include: entrepreneurship basics, starting a business, funding your business, protecting your technology/business IP. Subject matter experts and successful, technology-based entrepreneurs will provide real world examples from their experience with entrepreneurship. Learn about the world class entrepreneurship ecosystem at ISU and Central Iowa. Offered on a satisfactory-fail basis only. (Typically Offered: Fall, Spring)

Credits: Required. Repeatable.

Prereq: Instructor Permission for Course
One semester and one summer maximum per academic year professional work period. Offered on a satisfactory-fail basis only.

Credits: 1-30. Repeatable.

Prereq: Instructor Permission for Course
Offered on a satisfactory-fail basis only.