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Mechanical and Industrial Engineering

Chair

  • Andrew Kusiak

Faculty

Professors

  • Karim Abdel-Malek, Kurt M. Anstreicher, Jasbir S. Arora, Christoph Beckermann, T.D. Brown, P. Barry Butler, Krishnan B. Chandran, Kyung K. Choi, J.A. Goree, Andrew Kusiak, Ching-Long Lin, Jia Lu, Sharif Rahman, K. Rim, Matthew Rizzo, Frederick Stern, H.S. Udaykumar

Associate professors

  • Pablo Carrica, Yong Chen, Pavlo Krokhmal, Amaury Lendasse, Albert Ratner, Thomas Schnell, Hiroyuki Sugiyama, Geb W. Thomas, Shaoping Xiao, Olesya Zhupanska

Assistant professors

  • James Buchholz, Hongtao Ding, Ibrahim Ozbolat

Lecturers

  • Justin Garvin, Arun Pennathur, Kamran Samani

Professors emeriti

  • James G. Andrews, Dennis L. Bricker, Lea-Der Chen, Gary W. Fischer, Edward J. Haug, Robert G. Hering, George M. Lance, John M. Liittschwager, Donald H. Madsen, Peter O'Grady, Virendra C. Patel, J. Richard Simon, Theodore F. Smith, Ralph I. Stephens, H.C. Wu
Undergraduate majors: industrial engineering (B.S.E.); mechanical engineering (B.S.E.)
Graduate degrees: M.S. in industrial engineering (optional concentration in wind power management); Ph.D. in industrial engineering; M.S. in mechanical engineering; Ph.D. in mechanical engineering
Web site: http://www.engineering.uiowa.edu/mie/

The Department of Mechanical and Industrial Engineering offers distinct undergraduate and graduate degrees and research programs in industrial engineering and in mechanical engineering. It also is the administrative home of the undergraduate Certificate in Wind Energy.

INDUSTRIAL ENGINEERING

Industrial engineering is concerned with analysis, design, and implementation of systems through optimal use of resources—human, material, energy, information, and financial. Systems may range from small units to extremely large operations. In order to accomplish these activities, the industrial engineer must be skilled in mathematics, physical sciences, management, and human relations as well as manufacturing, computer systems, economics, optimization, human behavior, and systems analysis and design.

Industrial engineers have many opportunities for employment and service in industrial, government, research, and public service organizations. Employment opportunities are among the most varied in the engineering field. Industrial engineers hold positions as advisors to management or may participate directly in management decisions. Representative job titles include industrial engineer, manufacturing engineer, systems analyst, quality specialist, operations research analyst, internal consultant, human factors specialist, supervisor, and manager. Industrial engineers are employed by manufacturing and energy firms, wind turbine manufacturers, government agencies, and service organizations such as airlines, banks, hospitals, health care groups, and consulting companies.

MECHANICAL ENGINEERING

Mechanical engineering is broadly concerned with energy, manufacturing, and design of machines. Mechanical engineers conceive, plan, design, and direct the manufacture, distribution, and operation of a wide variety of devices, machines, and systems—including complex human-machine systems—for energy conversion, biofuel production, environmental control, materials processing, transportation, materials handling, and other purposes. Major subspecialties of mechanical engineering include thermal-fluids engineering and mechanical systems engineering.

Thermal-fluid phenomena occur in many engineering systems and devices, such as aircraft; automobiles; off-road vehicles; ships; gas turbines; heat exchangers; material processes; heating, ventilating, air-conditioning, and refrigerating systems; hydraulic and wind turbines; airbag inflators; fuel cells; biofuel processes; environmental control devices; and biomedical systems.

Machines and mechanical systems and machines are the foundations of human technology. Mechanical systems are found in mechanical engineering systems and devices such as manufacturing equipment, medical equipment, ground vehicles, heavy equipment, farm equipment, aircraft, ships, home appliances, packaging machinery, wind turbine blades and gearboxes, robots, and biomedical systems.

Mechanical engineers find a wide variety of career opportunities in industry, government, and education. Mechanical engineers form an integral part of most industries, including aerospace firms, energy companies, automobile manufacturers, health care providers, food- and metal-processing industries, petroleum refineries, electronic and computer manufacturers, heavy construction and agricultural vehicle manufacturers, wind turbine manufacturers, thermal comfort equipment firms, farm equipment firms, and consulting companies.

Undergraduate Programs of Study

  • Major in industrial engineering (Bachelor of Science in Engineering)
  • Major in mechanical engineering (Bachelor of Science in Engineering)
INDUSTRIAL ENGINEERING

The educational objective of the B.S.E. program in industrial engineering is to produce graduates who, within a few years of graduation:

  • will have successful careers in engineering and beyond and will have assumed professional roles of increasing responsibility and impact;
  • will have acquired new knowledge and expertise through professional development opportunities or advanced education; and
  • will be engaged in workplace, professional, or civic communities.

Visit Industrial Engineering Program Educational Objectives to learn more.

MECHANICAL ENGINEERING

The educational objective of the B.S.E. program in mechanical engineering is to produce graduates who, within a few years of graduation:

  • will have successful careers in engineering and beyond and will have assumed professional roles of increasing responsibility and impact;
  • will have acquired new knowledge and expertise through professional development opportunities or advanced education; and
  • will be engaged in workplace, professional, or civic communities.

Visit Mechanical Engineering Program Educational Objectives to learn more.

B.S.E.: Industrial Engineering

The Bachelor of Science in Engineering requires a minimum of 128 s.h. The major in industrial engineering requires a strong foundation of courses in engineering science, mathematics, design, manufacturing, social science, and humanities.

Advanced work includes specialty courses in human factors and ergonomics, management, information systems, manufacturing, quality control, and operations research. Design is an integral part of the undergraduate program; all students complete a comprehensive design experience.

All engineering students complete the B.S.E. core requirements, which include RHET:1030 (010:003) Rhetoric, ENGR:1100 (059:005) Engineering Problem Solving I, ENGR:1300 (059:006) Engineering Problem Solving II, and courses in chemistry, engineering mathematics and fundamentals, and physics. They must earn a grade of C-minus or higher in the core requirements MATH:1550 (22M:031) Engineering Mathematics I: Single Variable Calculus and MATH:1560 (22M:032) Engineering Mathematics II: Multivariable Calculus.

They also complete the curriculum designed for their major program, which covers four major stems: mathematics and basic sciences, engineering topics, an elective focus area, and the general education component (15 s.h. of humanities and social science courses). For information about the curriculum stems, see Bachelor of Science in Engineering in the Catalog.

Students must select elective focus area courses according to guidelines established by the Department of Mechanical and Industrial Engineering. See "Elective Focus Area" after the following curriculum list.

The following study plan includes the B.S.E. core requirements and the curriculum for the industrial engineering major. Some courses in the curriculum are prerequisites for others. Students must complete a course's prerequisites before they may register for the course. Those who take courses in the order below satisfy the prerequisite requirements automatically.

FIRST YEAR
First Semester
ENGR:1000 (059:090) Engineering Success for First-Year Students1 s.h.
ENGR:1100 (059:005) Engineering Problem Solving I3 s.h.
CHEM:1110 (004:011) Principles of Chemistry I4 s.h.
MATH:1550 (22M:031) Engineering Mathematics I: Single Variable Calculus4 s.h.
RHET:1030 (010:003) Rhetoric4-5 s.h.
Second Semester
ENGR:1300 (059:006) Engineering Problem Solving II3 s.h.
MATH:1560 (22M:032) Engineering Mathematics II: Multivariable Calculus4 s.h.
MATH:2550 (22M:033) Engineering Mathematics III: Matrix Algebra2 s.h.
PHYS:1611 (029:081) Introductory Physics I4 s.h.
General education component course3 s.h.
SECOND YEAR
First Semester
IE:2000 (056:020) Industrial Engineering Sophomore Seminar0 s.h.
ENGR:2110 (059:007) Engineering Fundamentals I: Statics2 s.h.
ENGR:2120 (059:008) Engineering Fundamentals II: Electrical Circuits3 s.h.
ENGR:2130 (059:009) Engineering Fundamentals III: Thermodynamics3 s.h.
MATH:2560 (22M:034) Engineering Mathematics IV: Differential Equations3 s.h.
PHYS:1612 (029:082) Introductory Physics II3 s.h.
PSY:1001 (031:001) Elementary Psychology3 s.h.
Second Semester
IE:2500 (056:054) Engineering Economy3 s.h.
IE:3500 (056:150) Information Systems Design3 s.h.
ENGR:2720 (057:015) Materials Science3 s.h.
STAT:2020 (22S:039) Probability and Statistics for the Engineering and Physical Sciences3 s.h.
Elective focus area course3 s.h.
THIRD YEAR
First Semester
IE:3000 (056:091) Professional Seminar: Industrial Engineering0 s.h.
IE:3400 (056:144) Human Factors3 s.h.
IE:3610 (056:166) Stochastic Modeling3 s.h.
IE:3700 (056:171) Operations Research3 s.h.
ENGR:2760 (057:021) Design for Manufacturing3 s.h.
General education component course3 s.h.
Second Semester
IE:3300 (056:131) Manufacturing Systems3 s.h.
IE:3450 (056:147) Ergonomics3 s.h.
IE:3750 (056:178) Digital Systems Simulation3 s.h.
IE:3760 (056:176) Applied Linear Regression3 s.h.
Elective focus area course3 s.h.
General education component course3 s.h.
FOURTH YEAR
First Semester
IE:3000 (056:091) Professional Seminar: Industrial Engineering0 s.h.
IE:3350 (056:134) Process Engineering4 s.h.
IE:3600 (056:162) Quality Control3 s.h.
Elective focus area courses6 s.h.
General education component course3 s.h.
Second Semester
IE:4600 (056:160) Operational Systems Design4 s.h.
Elective focus area courses (including math/science elective)12 s.h.
Systems elective course3 s.h.

Elective Focus Area

The industrial engineering program offers a variety of elective focus area options, including standard focus areas developed and maintained by the program and flexible focus areas tailored to individual student interests. For more detailed information about elective focus areas, see Bachelor of Science in Engineering in the Catalog. For a list of standard industrial engineering elective focus area options and guidelines for tailored elective focus areas, see Industrial Engineering Undergraduate Program on the Department of Mechanical and Industrial Engineering web site.

Joint B.S.E./M.S.: Industrial Engineering

The College of Engineering offers a joint (fast-track) Bachelor of Science in Engineering/Master of Science for industrial engineering undergraduate students who intend to earn an M.S. in industrial engineering. B.S.E./M.S. students may take up to 12 s.h. of graduate-level course work, attend the program's graduate seminar, and work with a faculty member on a master's thesis project while they are still undergraduates. They may count 6 s.h. of graduate course work toward both degrees. Once students complete the requirements for the bachelor's degree, they are granted the B.S.E., and they normally complete the M.S. one year later.

To be admitted to the joint degree program, students must have completed at least 80 s.h., must have a cumulative g.p.a. of at least 3.25, and must submit a letter of application to the chair of the Department of Mechanical and Industrial Engineering.

Some students in undergraduate majors other than industrial engineering may be admitted to the combined program; they must meet the same admission requirements as industrial engineering majors. In some cases, they may be required to take additional course work to meet the prerequisite requirements for upper-level courses.

B.S.E.: Mechanical Engineering

The Bachelor of Science in Engineering requires a minimum of 128 s.h. The major in mechanical engineering lays a foundation in the basic disciplines of mathematics, physics, and chemistry and in the engineering sciences of statics, dynamics, thermodynamics, mechanics of deformable bodies, mechanics of fluids and transfer processes, materials science, and electrical sciences. An understanding of these sciences enables mechanical engineers to design parts of systems and understand whole systems, plan the production and use of energy, plan and operate industrial manufacturing facilities, and design automatic control systems for machines and other mechanical systems.

Mechanical engineering students develop an awareness of social and humanistic issues relating to business, environment, government, history, language, religion, and international relations. They also acquire an appreciation of professional and ethical responsibilities.

All engineering students complete the B.S.E. core requirements, which include RHET:1030 (010:003) Rhetoric, ENGR:1100 (059:005) Engineering Problem Solving IENGR:1300 (059:006) Engineering Problem Solving II, and courses in chemistry, engineering mathematics and fundamentals, and physics. They must earn a grade of C-minus or higher in the core requirements MATH:1550 (22M:031) Engineering Mathematics I: Single Variable Calculus and MATH:1560 (22M:032) Engineering Mathematics II: Multivariable Calculus.

They also complete the curriculum designed for their major program, which covers four major stems: mathematics and basic sciences, engineering topics, an elective focus area, and the general education component (15 s.h. of humanities and social science courses). For information about the curriculum stems, see Bachelor of Science in Engineering in the Catalog.

Upper-level students work on team projects in a senior capstone design course, ME:4086 (058:086) Mechanical Engineering Design Project. Some students may arrange to participate in established research projects.

Students must select elective focus area courses according to guidelines established by the Department of Mechanical and Industrial Engineering. See "Elective Focus Area" after the following curriculum list.

The following study plan includes the B.S.E. core requirements and the curriculum for the mechanical engineering major. Some courses in the curriculum are prerequisites to others. Students must complete a course's prerequisites before they may register for the course. Those who take courses in the order below satisfy the prerequisite requirements automatically.

FIRST YEAR
First Semester
ENGR:1000 (059:090) Engineering Success for First-Year Students (credit does not count toward B.S.E. degree)1 s.h.
ENGR:1100 (059:005) Engineering Problem Solving I3 s.h.
CHEM:1110 (004:011) Principles of Chemistry I4 s.h.
MATH:1550 (22M:031) Engineering Mathematics I: Single Variable Calculus4 s.h.
RHET:1030 (010:003) Rhetoric4 s.h.
Second Semester
ENGR:1300 (059:006) Engineering Problem Solving II3 s.h.
MATH:1560 (22M:032) Engineering Mathematics II: Multivariable Calculus4 s.h.
MATH:2550 (22M:033) Engineering Mathematics III: Matrix Algebra2 s.h.
PHYS:1611 (029:081) Introductory Physics I4 s.h.
General education component course3 s.h.
SECOND YEAR
First Semester
ME:2020 (058:020) Mechanical Engineering Sophomore Seminar0 s.h.
ENGR:2110 (059:007) Engineering Fundamentals I: Statics2 s.h.
ENGR:2120 (059:008) Engineering Fundamentals II: Electrical Circuits3 s.h.
ENGR:2130 (059:009) Engineering Fundamentals III: Thermodynamics3 s.h.
General education component course3 s.h.
MATH:2560 (22M:034) Engineering Mathematics IV: Differential Equations3 s.h.
PHYS:1612 (029:082) Introductory Physics II3 s.h.
Second Semester
ENGR:2710 (057:010) Dynamics3 s.h.
ENGR:2720 (057:015) Materials Science3 s.h.
ENGR:2750 (057:019) Mechanics of Deformable Bodies3 s.h.
ENGR:2760 (057:021) Design for Manufacturing3 s.h.
Elective focus area course3 s.h.
THIRD YEAR
First Semester
ME:3091 (058:091) Professional Seminar: Mechanical Engineering0 s.h.
ME:3351 (058:051) Engineering Instrumentation2 s.h.
ENGR:2510 (057:020) Fluid Mechanics4 s.h.
ENGR:2730 (057:017) Computers in Engineering2-3 s.h.
MATH:3550 (22M:037) Engineering Mathematics V: Vector Calculus3 s.h.
STAT:2020 (22S:039) Probability and Statistics for the Engineering and Physical Sciences3 s.h.
Elective focus area course3 s.h.
Second Semester
ME:3040 (058:040) Thermodynamics II3 s.h.
ME:3045 (058:045) Heat Transfer3 s.h.
ME:3052 (058:052) Mechanical Systems4 s.h.
Elective focus area course3 s.h.
General education component course3 s.h.
FOURTH YEAR
First Semester
ME:3091 (058:091) Professional Seminar: Mechanical Engineering0 s.h.
ME:4048 (058:048) Energy Systems Design4 s.h.
ME:4055 (058:055) Mechanical Systems Design3 s.h.
Elective focus area courses6 s.h.
General education component course 3 s.h.
Second Semester
ME:4080 (058:080) Experimental Engineering4 s.h.
ME:4086 (058:086) Mechanical Engineering Design Project3 s.h.
Elective focus area courses6 s.h.
General education component course3 s.h.

Elective Focus Area

The mechanical engineering program offers a variety of elective focus area options, including standard focus areas developed and maintained by the program and flexible focus areas tailored to individual student interests. For more detailed information about elective focus areas, see Bachelor of Science in Engineering in the Catalog. For a list of standard mechanical engineering elective focus area options and guidelines for tailored elective focus areas, see Mechanical Engineering Undergraduate Program on the Department of Mechanical and Industrial Engineering web site.

Joint B.S.E./M.S.: Mechanical Engineering

The College of Engineering offers a joint (fast-track) Bachelor of Science in Engineering/Master of Science for mechanical engineering undergraduate students who intend to earn an M.S. in mechanical engineering. B.S.E./M.S. students may take up to 12 s.h. of graduate-level course work, attend the program's graduate seminar, and participate in master's research while they are still undergraduates. They may count 6 s.h. of graduate course work toward both degrees. Once students complete the requirements for the bachelor's degree, they are granted the B.S.E., and they normally complete the M.S. one year later.

To be admitted to the joint degree program, students must have completed at least 80 s.h., must have a cumulative g.p.a. of at least 3.25, and must submit a letter of application to the chair of the Department of Mechanical and Industrial Engineering.

Certificate in Wind Energy

The Department of Mechanical and Industrial Engineering (College of Engineering) and the Department of Geographical and Sustainability Sciences (College of Liberal Arts and Sciences) administer the undergraduate certificate program in wind energy; see Wind Energy in the Catalog.

Graduate Programs of Study

  • Master of Science in industrial engineering (with or without thesis; optional concentration in windpower management)
  • Doctor of Philosophy in industrial engineering
  • Master of Science in mechanical engineering (with or without thesis)
  • Doctor of Philosophy in mechanical engineering

Research and Study in Industrial Engineering

Graduate study in industrial engineering is tailored individually. Each student's study program is based on his or her background and career objectives and is designed according to sound academic practice. The curriculum is highly flexible; the goal is academic excellence.

The program offers six principal academic focus areas: design and manufacturing, human factors engineering and ergonomics, engineering management, reliability and production systems, operations research and applied statistics, and information systems. Graduate students participate in research in their academic concentration areas.

ENGINEERING MANAGEMENT

Current research in engineering management consists of entrepreneurship, parametric cash flow analysis, strategic management, and economic risk analysis. Engineering management studies concentrate on engineering administration, engineering economics, and information systems. This area is covered by courses in the 50 series.

HUMAN FACTORS AND ERGONOMICS

Current research in human factors and ergonomics includes investigation of the effects of visual and auditory displays on human information processing and development of computer systems that ease the challenges of controlling complex medical and robotic systems. This work examines how engineers should shape information technology to enhance productivity, safety, and customer satisfaction. Industrial engineering faculty members and students work to improve the effectiveness of robot systems for exploration of Mars and the Moon, to improve driving safety, and to design new cockpit interfaces. The department has several medical, flight, and driving simulators. It also conducts research in other facilities, including National Advanced Driving Simulator, the most advanced simulation facility in the world.

Human factors and ergonomics studies concentrate on designing systems compatible with human capabilities and limitations. Human factors engineering integrates components from the fields of psychology, cognitive sciences, physiology, statistics, and technical sciences to address issues of human-interface design and human-systems design. Specific considerations include human cognitive abilities and limitations, visual performance, error reduction, workload assessment and mitigation, design of jobs in the industrial environment, information acquisition and processing, choice of action, operator performance measurement, and economic concerns. This area is covered by courses in the 40 series.

INFORMATION SYSTEMS

Studies in information systems concentrate on system design. Design problems involve devising information systems that meet a diverse set of requirements. Contemporary topics include network-based systems, client/server systems, internet systems, and medical informatics.

MANUFACTURING

Ongoing manufacturing research consists of flexible manufacturing systems, optimum control of processes, and reliability assessment. Manufacturing courses, denoted by the 30 series, delve into selecting appropriate manufacturing methods, planning processing operations, devising control strategies, and designing products and manufacturing systems. Contemporary topics include computer-aided process planning, computer-aided design, computer-controlled manufacturing, concurrent engineering, and applications of artificial intelligence in manufacturing.

OPERATIONS RESEARCH AND APPLIED STATISTICS

Ongoing research in operations research and applied statistics deals with the application of optimization techniques for informed decision making in the public and private sectors. The primary focus of this work is modeling, simulating, and optimizing the design and operation of systems such as logistics, communications, health care, and manufacturing. Studies in operations research and applied statistics concentrate on mathematical programming, statistical, and computer sciences for modeling, analyzing, and optimizing systems. Various methodologies in this area include mathematical programming, heuristic optimization, statistical analysis, and digital systems simulation. This area is covered by courses in the 70 series.

QUALITY CONTROL AND PRODUCTION SYSTEMS

Current research in quality control and production systems focuses on measures for corporate quality and reliability, computer-aided layout and scheduling, just-in-time production, inspection, and online expert systems in process control. Studies of quality control and production systems focus on reliability engineering, quality control, and production systems. This area is covered by courses in the 60 series.

Research and Study in Mechanical Engineering

The graduate programs in mechanical engineering educate students in more depth and breadth than is possible at the baccalaureate level. This prepares the graduate to use contemporary methods at advanced levels in professional careers in engineering design, development, teaching, and research. Each student's plan of study is based on his or her background and career objectives, and is designed according to sound academic practice. Faculty members in the program have teaching and research expertise in energy and power conversion, fluid and thermal sciences, solid mechanics, mechanical systems, and related areas.

Students may develop programs emphasizing fluid mechanics, thermodynamics, heat transfer, fatigue and fracture mechanics, and mechanical systems. Some may pursue more general programs that combine emphases. Others may specialize in interdisciplinary areas (e.g., energy engineering, materials engineering, automatic control, chemical processes), which involve a combination of mechanical and industrial engineering departmental courses and appropriate electives from other departments in the College of Engineering and across the University. Ph.D. programs may center on any one of these areas through choice of appropriate course work and research topic.

For more information, see the Mechanical Engineering Graduate Student Handbook, available from the department.

The mechanical engineering program offers the following research and study areas.

FLUID MECHANICS

The graduate program in fluid mechanics provides a rigorous and broad foundation in theoretical, numerical, and experimental aspects of the subject. It is especially suitable for those seeking careers in teaching and/or research in academic and industrial organizations. The program focuses on fundamental principles and techniques of solving problems in the varied fields of fluids engineering. It emphasizes computer use, both in mathematical modeling of flow phenomena and in acquisition and processing of experimental data.

Although most of the relevant courses are offered by the Department of Mechanical and Industrial Engineering, students are strongly encouraged to take applied mathematics and classical mechanics courses offered by the Departments of Mathematics and Physics and Astronomy in the College of Liberal Arts and Sciences and by other College of Engineering departments.

Current research projects include computational modeling of viscous and turbulent flows; vortex dynamics; unsteady flows; pulmonary flow; flow separation and control; atmospheric flows; environmental flows; ship hydrodynamics; viscous flow around ships; propulsor flow and propulsor-body interactions; free-surface effects; nonlinear wave theory; biomimetic fluid mechanics; hydraulic turbines; quantitative flow visualization and image processing; computational fluid dynamics; LDV and thermal anemometry for flow analysis; and uncertainty analysis.

MECHANICAL SYSTEMS

The graduate program in mechanical systems is designed to provide students with a broad, strong background in theoretical, computational, experimental, and applied aspects of the subject. It prepares future graduates for careers in industry, teaching, and government. The program emphasizes fundamental principles, computational techniques, multiscale modeling and simulation, and experimentation used to analyze and design mechanical systems. Areas of concentration include reliability-based design and optimization, nanotechnology, tissue mechanics, machine and vehicle dynamics, optimal design, structural sensitivity analysis and optimization, computational solid mechanics, probabilistic mechanics, mechanics of composite materials, reliability, and fatigue and fracture mechanics.

Although most courses relevant to the specialization areas are offered by the Department of Mechanical and Industrial Engineering, students are encouraged to consider appropriate course work from other areas, including courses offered by other College of Engineering departments and in disciplines such as mathematics, statistics, and physics.

Current research projects include computational mechanics, tissue mechanics, multiphysics, and multiple-scale problems; mechanics of multifunctional composites and nanocomposites, electromagnetic and thermal effects in composites, micromechanical modeling of multiphase composites and nanocomposites, impact and failure of composites, contact mechanics problems with friction and adhesion; stochastic meshfree and finite element methods; design sensitivity analysis of nonlinear structural systems; reliability-based design optimization; surrogate modeling for reliability-based design optimization; shape optimal design of elastoplastic materials; optimal design of metal stamping process; probabilistic and elastic-plastic fracture mechanics; damage tolerant design; fatigue behavior and life prediction under constant and variable amplitude loading; design sensitivity analysis of rigid and flexible mechanical systems; multibody system dynamics, tire dynamics, wheel and rail contact dynamics; wind turbine drivetrain dynamics; and vehicle system dynamics.

THERMAL SCIENCES

The graduate program in thermal sciences and systems is designed to provide students with a rigorous and broad foundation in theoretical and experimental aspects of the subject. It prepares future graduates for careers in industry, teaching, and government. The program emphasizes fundamentals of thermodynamics and heat transfer, and associated analytical, numerical, and experimental methods used in energy systems. Areas of concentration include fluid mechanics, thermodynamics, heat transfer, phase-change, combustion, and fuel cells.

Most courses relevant to the specialization areas are offered by the Department of Mechanical and Industrial Engineering. Students are encouraged to balance their programs by supplementing these with appropriate course work from other areas, including courses offered by other College of Engineering departments and in disciplines such as mathematics and physics.

Current research projects include biomass gasification; turbulent flames; combustion of biomass; alternative and renewable fuels; combustion instability; spray atomization and combustion; transport modeling of fuel cells; transport phenomena in materials processing, melting, and solidification; and optical-based diagnostics of complex thermal processes.

M.S.: Industrial Engineering

The Master of Science program in industrial engineering requires a minimum of 30 s.h. of graduate credit with thesis, and a minimum of 36 s.h. of graduate credit without thesis. Students who intend to pursue a Ph.D. should select the thesis option; those who hold research or teaching assistantships may be required to select the thesis option. The M.S. concentration in wind power management is open to students in either option.

All M.S. students must earn 21 s.h. in graduate-level industrial engineering courses. They earn a minimum of 9 s.h. in 5000-level industrial engineering courses and complete at least one 3000- or 5000-level course from each of three focus areas: human factors, operations research, and reliability and systems design. Thesis students who plan to pursue a Ph.D. may choose to take two 5000-level courses in each of the three focus areas in order to complete their Ph.D. breadth requirement before entering the doctoral program. Students select other courses in consultation with their advisors; choices are documented in the student's plan of study.

Thesis students may count a maximum of 6 s.h. of research credit toward the degree and may include that credit in the required 21 s.h. of graduate-level industrial engineering courses. The thesis option does not include research credit.

All graduate students must register for IE:5000 (056:191) Graduate Seminar: Industrial Engineering (1 s.h.) each semester of enrollment. They may not substitute seminar credit for regular course work or research credit.

M.S. students must maintain a g.p.a. of at least 3.00 on all graduate work at The University of Iowa and must pass a final comprehensive examination as specified by their examining committees.

Entering students must have strong verbal and written skills in English and a background in computer programming (e.g., C++, C, VB), probability, statistics, and mathematics equivalent to that required by accredited undergraduate engineering programs. Students with insufficient academic background must remedy deficiencies by taking appropriate courses beyond those normally required for the study plan.

Entering students are advised by the department chair or by a designated faculty advisor. The department chair or the graduate program coordinator assigns an advisor to each student during his or her first regular semester in residence.

During that semester, the student and the advisor prepare a study plan, which they submit to the department chair for approval. Once the plan is approved, it is filed with the student's record. It is the student's responsibility to assure that the study plan is submitted to the department chair.

M.S. students must pass a final comprehensive examination, as specified by their examination committees. Examination committees consist of at least three Graduate College faculty members and must be approved by the department chair.

The comprehensive examination may consist of both oral and written parts. Its purpose is to assess the adequacy of the student's defense of thesis and/or course preparation. The final study plan, approved by the Graduate College dean, is prerequisite to the exam. The student should consult with his or her advisor on the composition of the advisory/examination committee and the time and place for the exam.

It is the student's responsibility to submit a degree application to the Graduate College by the college's deadline.

For more detailed information about M.S. program requirements, including a list of focus area courses, see the Industrial Engineering Graduate Handbook or link to industrial engineering graduate programs on the Department of Mechanical and Industrial Engineering web site.

M.S. Concentration in Wind Power Management

M.S. students in industrial engineering may elect to concentrate in wind power management. They must meet all regular requirements for the M.S. in industrial engineering. In addition, thesis option students must take three courses (9 s.h.) from the list of recommended courses. Nonthesis option students must take four courses (12 s.h.) from the list of recommended courses and one course (3 s.h.) from the list of electives. Students' course selections must be approved by their advisors.

WIND POWER MANAGEMENT: RECOMMENDED COURSES
 
CEE:4107 (053:107) Sustainable Systems3 s.h.
CEE:4317 (053:117) Remote Sensing3 s.h.
CEE:6151 (053:251) Environmental Systems Modeling3 s.h.
IE:3350 (056:134) Process Engineering4 s.h.
IE:3600 (056:162) Quality Control3 s.h.
IE:3610 (056:166) Stochastic Modeling3 s.h.
IE:3700 (056:171) Operations Research3 s.h.
IE:3750 (056:178) Digital Systems Simulation3 s.h.
ME:5143 (058:143) Computational Fluid and Thermal Engineering3 s.h.
ME:5195 (058:195) Contemporary Topics in Mechanical Engineering3 s.h.
ME:6255 (058:255) Multiscale Modeling3 s.h.
ME:7268 (058:268) Turbulent Flows3 s.h.
WIND POWER MANAGEMENT: ELECTIVES
 
IE:3760 (056:176) Applied Linear Regression3 s.h.
CS:4400 (22C:144) Database Systems3 s.h.
EES:3140 (012:114) Energy and the Environment3 s.h.
GEOG:3750 (044:127) Environmental Quality: Science, Technology, and Policy3 s.h.
GEOG:4930 (044:135) Urban Geography3 s.h.
MSCI:6190 (06K:234) Knowledge Management3 s.h.
MSCI:9200 (06K:226) Business Programming3 s.h.
MSCI:9260 (06K:228) Web and Multimedia3 s.h.
OEH:5410 (175:192) Occupational Safety3 s.h.

Ph.D.: Industrial Engineering

The Doctor of Philosophy program in industrial engineering requires a minimum of 72 s.h. It is granted upon demonstration of comprehensive knowledge and scholarly work at the highest level.

A maximum of 36 s.h. earned toward the M.S. may be counted toward the 72 s.h. required for the Ph.D. Students must spend at least two semesters in residence at The University of Iowa. They also must maintain a g.p.a. of at least 3.25 on all graduate work done at the University.

The degree requires broad academic background with considerable depth in at least one area of specialization that clearly demonstrates the student's capability to do high-level research. Ph.D. students must complete a series of written and oral examinations and a written dissertation based upon the results of an original investigation.

Students without a Master of Science in industrial engineering or a closely allied area must satisfy all requirements for the M.S. in industrial engineering before they may be admitted to the Ph.D. program.

Entering students are advised by the department chair or by a designated faculty advisor. During the student's first regular semester in residence, an advisor is assigned by the department chair or the graduate program coordinator. Students are expected to identify an industrial engineering faculty member willing to serve as their advisor by the end of their first regular semester in the program.

Once the student is assigned an advisor, he or she works with the advisor to prepare a study plan, which is submitted to the department chair for approval. Once the plan is approved by the department chair, it is filed with the student's record. At the beginning of each academic year, the industrial engineering faculty reviews the study plan and gives the student feedback regarding progress toward his or her degree objective. It is the student's responsibility to assure that the study plan is submitted to the program chair.

Admission to degree candidacy requires a g.p.a. of at least 3.25 on all graduate work taken at The University of Iowa, demonstration of capacity for individual research achievement (typically a dissertation research proposal), and successful completion of the comprehensive examination given by the examining committee.

The comprehensive examination is scheduled with approval of the student's advisor and the industrial engineering program coordinator or the graduate coordinator once the student's study plan is essentially completed. The examining committee determines the composition of the exam, including written and oral parts, and determines whether the student is ready to begin dissertation research.

For more detailed information about Ph.D. program requirements, see the Industrial Engineering Graduate Handbook or link to industrial engineering graduate programs on the Department of Mechanical and Industrial Engineering web site.

All Ph.D. students must satisfy the following requirements.

Graduate students must register for IE:5000 (056:191) Graduate Seminar: Industrial Engineering (1 s.h.) each semester of enrollment. They may not substitute seminar credit for regular course work or research credit.

INDUSTRIAL ENGINEERING BREADTH REQUIREMENT

Each Ph.D. student must pass at least two 5000-level industrial engineering courses in each of three focus areas: human factors, operations research, and reliability and systems design. Students who have earned an M.S. in the program may already have satisfied this requirement.

QUALIFYING EXAM

Each student must satisfy the qualifying exam requirement in two of the three focus areas. The requirement for a focus area can be satisfied by passing a written qualifying exam in the focus area or by earning a grade of A-minus or higher in each of two 5000-level industrial engineering courses in the focus area.

FOCUS AREA

Students select one of the three focus areas and take additional course work in that area. They fulfill the minimum requirement of the focus area, completing at least two additional 5000-level industrial engineering courses in the area.

COMPREHENSIVE EXAMINATION

Each student must demonstrate his or her ability to carry out creative individual research by completing and defending his or her dissertation research proposal in a comprehensive examination. The exam includes written and oral parts and is conducted by an examining committee of at least five industrial engineering and Graduate College faculty members. It is scheduled after the qualifying examination requirement has been satisfied. The examining committee determines whether the student is ready to begin dissertation research. Once the student has completed the comprehensive examination satisfactorily, he or she is accepted as a candidate for the Ph.D.

FINAL EXAMINATION (THESIS DEFENSE)

Each student must defend his or her completed dissertation in the final examination, which is conducted by the examining committee.

Ph.D. Concentration in Wind Power Management

Ph.D. students who concentrate in wind power management must meet all regular requirements for the doctoral degree. In addition, they must gain sufficient breadth and depth of domain knowledge in their study area by taking energy-related courses.

Related Certificate: Informatics

The Graduate College offers the Certificate in Informatics with a health informatics subtrack, which requires 18 s.h. of credit. The subtrack emphasizes the organization, management, and use of health care information; health care research, education, and practice; and information technology developments in the socioeconomic context of health care. Industrial engineering students working toward the certificate complete IE:5860 (056:186) Health Informatics I, IE:5870 (056:287) Health Informatics II, and approved electives. Completion of the certificate is noted on the student's transcript. To learn more, see "Certificate" in the Informatics (Graduate College) section of the Catalog.

M.S.: Mechanical Engineering

The Master of Science program in mechanical engineering requires a minimum of 30 s.h., with or without thesis. Thesis students may count 6-9 s.h. earned for thesis research and writing toward the degree. Each student determines a study plan in consultation with an advisor and submits the plan to the department chair for approval.

All M.S. students must register for ME:6191 (058:191) Graduate Seminar: Mechanical Engineering each semester.

To earn the M.S., the student must maintain a g.p.a. of at least 3.00 on graduate work used to satisfy the degree requirements and must be successful in the final examination. This examination is administered by the student's committee, which consists of at least three faculty members, including at least one with primary appointment in the Department of Mechanical and Industrial Engineering.

The requirements for the M.S. may be completed within one calendar year. However, students with assistantship duties or other constraints may take up to two calendar years to complete the degree.

Ph.D.: Mechanical Engineering

The Doctor of Philosophy program in mechanical engineering requires 72 s.h. of graduate credit, including at least 54 s.h. in course work (excluding thesis research) and at least 12 s.h. earned for Ph.D. thesis research. Students must pass the qualifying examination administered by the program to be formally admitted to the doctoral program.

Each student takes the comprehensive examination after passing the qualifying examination and when the course work specified in the study plan is nearly completed; in any case, the comprehensive examination should be taken no later than 28 months after the first registration in the Ph.D. program. To be admitted to the comprehensive examination, a student must be in good academic standing and must be recommended by his or her advisor. The exam is administered by the student's committee. Admission to Ph.D. candidacy is recognized upon successful completion of the comprehensive examination.

Having satisfactorily completed the exam, the student usually has only to complete and defend the dissertation at the final examination.

Requirements for the Ph.D. usually can be completed in three to four years beyond the M.S.

Admission

Applicants must meet the admission requirements of the Graduate College; for detailed information about Graduate College policies, see the Manual of Rules and Regulations of the Graduate College or the Graduate College section of the Catalog.

INDUSTRIAL ENGINEERING

Reference letters, student research interests, grade-point average for previous graduate study, and factors such as faculty availability are considered in admission decisions.

M.S. applicants may be admitted from an ABET-accredited baccalaureate curriculum in any engineering discipline, or in the mathematical sciences, the physical sciences, or the computer sciences with a g.p.a. of at least 3.00 and an acceptable score on the Graduate Record Examination (GRE) General Test. Applicants from institutions outside the United States must meet equivalent conditions for regular admission. Students with lesser qualifications may be considered for conditional admission.

Students from business or social science programs who have mathematical preparation similar to that of engineering students are considered for regular or conditional admission. Students on conditional status must achieve regular status within two sessions of their first registration by attaining an acceptable grade-point average and gaining regular acceptance by the industrial engineering program faculty; otherwise, they are dismissed. Admissions may be limited by available resources.

Ph.D. applicants may be admitted from an ABET Inc.-accredited baccalaureate curriculum or a postbaccalaureate curriculum in any engineering discipline or in the mathematical sciences, computer science, or physical sciences with a g.p.a. of at least 3.25 and an acceptable GRE General Test score. Applicants from outside the United States must meet equivalent standards for regular admission as determined by The University of Iowa. Students also may be admitted from business or social science programs as determined individually.

Applicants who intend to pursue a Ph.D. and who have a B.S. or an M.S. without thesis usually are admitted first to the M.S. program. All admissions to the Ph.D. program are reviewed by the graduate studies committee.

MECHANICAL ENGINEERING

Applicants who have earned a baccalaureate or master's degree in engineering curriculum or in the mathematical or physical sciences are eligible to be considered for admission to graduate study in mechanical engineering. In order to be considered for regular admission, applicants must have a g.p.a. of at least 3.00 on a 4.00 scale on all previous college-level work and Graduate Record Examination (GRE) General Test scores of at least 500 verbal, 750 quantitative, and 4.5 analytical writing. Students whose first language is not English must score at least 550 (paper-based), 213 (computer-based), or 81 (Internet-based) on the Test of English as a Foreign language (TOEFL).

Applicants with a lower grade-point average and/or GRE or TOEFL test scores may be considered for conditional admission, under exceptional circumstances. Applicants admitted conditionally must achieve regular standing within one semester (excluding summer sessions) after admission by attaining a g.p.a. of at least 3.00 on their first 9 s.h. at The University of Iowa. The Graduate College cancels registration for the subsequent semester for students who have not submitted their GRE and/or TOEFL scores by the end of the first semester after admission.

Financial Support

INDUSTRIAL ENGINEERING

A number of one-quarter-time and one-half-time teaching and research assistantships are available for graduate students. Awards are based on students' academic records and assessment of their potential contribution to the research and teaching goals of the program. Advanced graduate students also may qualify for appointments as graduate teaching fellows. Contact the chair of the Department of Mechanical and Industrial Engineering for details.

MECHANICAL ENGINEERING

Financial support is available to M.S. and Ph.D. students, primarily through graduate assistantships in teaching or research from the Department of Mechanical and Industrial Engineering, the Center for Computer-Aided Design, IIHR—Hydroscience and Engineering, and the National Advanced Driving Simulator. These awards may be made on a semester, academic year, or calendar year basis. Awards and reappointments are competitive and are based on the student's potential contribution to the teaching and research goals of the department. Students who fulfill their assistantship responsibilities and continue to make satisfactory progress toward their degree objective receive preference in new assistantship awards. All applications for financial support should be submitted directly to the department chair.

M.S. students with assistantship appointments of one-quarter-time or more are required to register for a minimum of 9 s.h. during fall and spring semesters until they have completed 30 s.h. of course and research work beyond the baccalaureate degree. Ph.D. students with assistantship appointments of one-quarter-time or more must register for a minimum of 9 s.h. during fall and spring semesters until they have completed 72 s.h. of course and research work beyond the baccalaureate degree. Once they meet these minimums, graduate students must register for a graduate seminar each semester until they have successfully completed their final examination or thesis defense. All registrations should accurately reflect the amount and type of work undertaken, the use of University facilities, and the amount of consultation with the faculty.

Facilities and Laboratories

DESIGN FOR MANUFACTURING LABORATORY

The Design for Manufacturing Laboratory is used by students in industrial engineering and in mechanical engineering. The laboratory provides students with experience in CAD/CAM systems. It is equipped with 4-axis CNC mills (Haas and Tormach), CNC router (Techno-CNC), CNC metal lathe (Haas and Techno-CNC), drill press, plastic injection molder, thermoforming machine, band saw, disc sander, bench grinder, polishing wheel, hand drill, sandblasting cabinet, press, foot shear, and welding station. The lab has the latest software technology, such as Pro/ENGINEER and Rhinoceros.

Industrial Engineering

The following facilities and laboratories are used by undergraduate and graduate students. For information about laboratories affiliated with core courses coordinated by other College of Engineering departments, see those departments' Catalog sections.

ACTIVE LEARNING FACILITY

The Active Learning Facility (ALF) is designed to encourage group interaction in a small classroom setting. The reconfigurable classroom is equipped with nine tables and 20 HP workstations. It is used for industrial engineering courses and for small groups working together on computer assignments.

BIOMANUFACTURING LABORATORY

The Biomanufacturing Laboratory teaches students about emerging processes and techniques in cell-biomaterial interactions and gives them hands-on laboratory experience. Work in the laboratory is interdisciplinary, spanning engineering, medicine, biology, and biotechnology. The laboratory provides facilities for engineered living tissue systems. Next generation manufacturing tools are used to build biologically inspired structures intended to replace diseased or damaged organs and tissues. Laboratory research projects and activities focus primarily on design, modeling, and fabrication of tissue replacement parts; tissue scaffolds and medical devices; and cell and organ printing. Diverse software and hardware are available to support bioadditive manufacturing platforms.

COGNITIVE SYSTEMS LABORATORY

The Cognitive Systems Laboratory is devoted to examining the safety, performance, and user acceptance implications of technology insertion into complex systems. The laboratory has networked computers, a video editing workstation, a process control simulation, and a low-cost driving simulator. The simulator is equipped with five cameras, instrumentation to record all driver activity, and an eye tracking system. The Cognitive Systems Laboratory shares the driving simulator and an instrumented vehicle with the Operator Performance Laboratory. The equipment supports class projects, system development, and undergraduate and graduate research.

DESIGN PROJECT LABORATORY

The Design Project Laboratory  is equipped with standard computers and videoconferencing facilities. It supports senior design project courses.

GROK LAB

The GROK Lab develops technologies to help scientists and doctors improve their understanding and control of complex systems such as robots, distributed sensor networks, and augmented-reality systems. The lab designs and builds software, electronic circuits, and mechanical devices that create or modify complex systems and that extend scientists' understanding of how to make these systems perform their intended tasks better.

The laboratory has a variety of software development platforms and manufacturing tools, including CNC machines and supplies for casting and molding, as well as a suite of equipment for circuit design, testing, and assembly.  The GROK lab has developed technologies used by NASA to control robots exploring South America and Mars. Its most recent projects have focused on using distributed sensor networks to track the activities of health care workers and on developing training simulators for orthopedic surgeons.

INTELLIGENT SYSTEMS LABORATORY

The Intelligent Systems Laboratory provides facilities for research in computational intelligence leading to applications in industry, service organizations, and health care. Research in the laboratory is funded by government agencies and industrial corporations. Solutions to practical problems and enhancement of engineering education are emphasized. Most of the laboratory's recent projects concentrate on development of software tools for product development, manufacturing, and health care applications.

The Intelligent Systems Laboratory is furnished with the latest computer technology to support research on numerous computing platforms. Diverse software is available for modeling, design, and construction of intelligent systems—for example, data mining software, neural networks, expert systems, and simulation software.

OPERATOR PERFORMANCE LABORATORY

Research in the Operator Performance Laboratory (OPL) focuses on determining human performance in a variety of situations, with particular emphasis on driving and flight deck environments. Much of the research is performed in the field using a state-of-the-art instrumented vehicle that is equipped with five cameras, eye movement equipment, two computers, video equipment, and a suite of sensors. The OPL also features a scale Boeing 737-400 fixed-base flight simulator with six channels of visuals. The flight simulator is equipped with a remote eye-tracking device that allows the activation of selected virtual controls in the flight deck. A specially designed stimulus presentation booth is used for color research and for photometry applications. Computer models of operator performance are designed based on the data obtained in the laboratory and field research.

Mechanical Engineering

Mechanical Engineering Undergraduate Instruction

ENGINEERING CORE

The laboratories for fluid flows and transport processes contain a wind tunnel; a water flume; a water table; four water channels with porous media; three air-jet tables; various air, water, and oil flow devices; and facilities for numerous small-scale experiments to demonstrate the principles of mass, momentum, and energy transfer.

For information about laboratories affiliated with core courses coordinated by other College of Engineering departments, see the departments' Catalog sections.

COMPUTATIONAL FLUIDS LABORATORY

The Computational Fluids Laboratory is equipped with 20 computers running ANSYS Fluent software used in fluid mechanics courses.

DESIGN PROJECT LABORATORY

The Design Project Laboratory supports all senior design project courses. It is equipped with eight mid-level workstations as well as a high-end workstation, which enables students to manipulate full design models and interactive WebEx sessions with companies using the analysis software during the session. Research versions of ANSYS Fluent and ProE, standard computers, and videoconferencing facilities also are available.

EXPERIMENTAL FLUID MECHANICS LABORATORY

The Experimental Fluid Mechanics Laboratory acquaints students with ongoing research in fluid mechanics and hydraulics. The laboratory focuses on literature, experiments, numerical simulations, audio-video aids, and links to educational and scientific internet sites. Students using the laboratory develop an understanding of basic flow mechanisms and become familiar with the latest developments in experimental techniques and instrumentation.

RALPH AND BARBARA STEPHENS EXPERIMENTAL ENGINEERING LABORATORY

The Ralph and Barbara Stephens Experimental Engineering Laboratory supports the required undergraduate courses ME:3351 (058:051) Engineering Instrumentation and ME:4080 (058:080) Experimental Engineering. The laboratory is equipped with varied instruments and test rigs that help students learn basic measurement principles and laboratory procedures. It also offers sensors for measurement of displacement, mass, temperature, pressure, velocity and flow rate, heat flux, force, torque, and so forth.

SOLIDIFICATION LABORATORY

The Solidification Laboratory supports research in fundamental aspects of solidification and their application in casting of metals. Research in the laboratory ranges from basic experimental and computational studies of microstructure evolution to modeling and simulation of a wide variety of industrial metal casting processes. Collaboration with the casting industry has resulted in custom-made software for process control, new capabilities in commercially available casting simulation software, and strategies for yield improvement and defect prevention. Facilities include numerous state-of-the-art computer workstations and experimental test setups.

THERMAL AND HEAT TRANSFER LABORATORY

The Thermal and Heat Transfer Laboratory is equipped with data acquisition systems to process data online. It also provides facilities for experiments in heat transfer measurements.

Mechanical Engineering Graduate Facilities

FLUID MECHANICS

The program in fluid mechanics is conducted in close collaboration with IIHR—Hydroscience & Engineering. The equipment available to graduate students includes several wind tunnels and hydraulic flumes, an environmental flow facility, a towing tank, two special low-temperature flow facilities for investigation of ice phenomena, hot-wire and laser anemometer systems, particle-image velocimetry systems, and computer-based data acquisition systems.

Facilities available in the department include a flow visualization and imaging system with CCD (charge-coupled devices) camera, and a low-speed wind tunnel. IIHR and College of Engineering shops provide the necessary support. In addition to using in-house workstations and computers, the department's faculty members and students make extensive use of supercomputers at national centers.

MECHANICAL SYSTEMS

Computer-based simulation research activities in the mechanical systems area are carried out mainly in the Center for Computer-Aided Design (CCAD). CCAD maintains a variety of high-performance computer systems in support of its technology research and development efforts. General computing services are supported by a number of LINUX and Windows applications servers connected to centralized file servers. CAD/CAE, software development, virtual prototyping, and virtual environment development applications are hosted on numerous high-performance workstations. Standard desktop, multimedia, and office productivity applications are hosted on a network of more than 40 workstations.

THERMAL SCIENCES

Facilities for research in the thermal sciences and systems consist of a low-pressure combustion chamber, a high-pressure continuous flow combustion chamber, a high-pressure chamber for atomization study, a test rig for heat transfer to near supercritical fluids, a diffusion flame test rig, an enclosed laminar flame test rig, an air atomization spray apparatus, test stands for melting and solidification studies, various optical measurement systems, and two fuel cell test rigs. Laser-based diagnostics (e.g., laser-induced fluorescence, imaging, and laser Doppler anemometry) are available for solidification, turbulent flow, heat transfer, and combustion studies. Flow visualization and imaging by CCD camera are available for the study of complex fluid motion and heat convection, and combustion flows.

Courses

Industrial Engineering

Special Topics
 

IE:0000 (056:000) Cooperative Education Training Assignment: Industrial Engineering0 s.h.
Industrial engineering students participating in the Cooperative Education Program register in this course during work assignment periods; registration provides a record of participation in the program on the student's permanent record. Requirements: admission to Cooperative Education Program.
 
IE:0002 (056:002) Half-time Cooperative Education Training Assignment: Industrial Engineering0 s.h.
Registration for work assignment periods; for students participating in the Cooperative Education Program.
 
IE:1000 (056:010) Industrial Engineering First-Year Seminar0 s.h.
Introduction to curriculum and profession; ethics and professionalism in classroom and workplace. Requirements: first‑year or transfer standing in engineering.
 
IE:2000 (056:020) Industrial Engineering Sophomore Seminar0 s.h.
Curriculum and profession; ethics and professionalism in classroom and workplace. Requirements: sophomore or transfer standing in engineering.
 
IE:3000 (056:091) Professional Seminar: Industrial Engineering0 s.h.
Professional aspects of industrial engineering presented through lectures and discussions by guest speakers, field trips, films, panel discussions. Requirements: junior standing.
 
IE:3998 (056:098) Individual Investigations: Industrial Engineeringarr.
Independent projects in industrial engineering for undergraduate students, including laboratory study, an engineering design project, analysis and simulation of an engineering system, computer software development, CAD/CAM applications, or research.
 

Manufacturing
 

IE:3138 (056:138) Biomanufacturing3 s.h.
Design and manufacturing technologies in development of biomedical related products (customized implants, medical devices, tissue scaffolds, engineered tissues, organs, biological systems); tissue engineering, BioCAD, biomedical imaging and processing for customized implant development, reverse engineering, biomaterials, regenerative medicine and drug delivery, traditional manufacturing processes for tissue engineering, rapid prototyping and layered manufacturing, rapid tooling, bioadditive fabrication, bionanofabrication and new frontiers in biomanufacturing (organ printing); hands‑on laboratory projects and assignments. Prerequisites: ENGR:2760 (057:021).
 
IE:3300 (056:131) Manufacturing Systems3 s.h.
Manufacturing and logistics systems, supply chain management, MRP/ERP systems, lean manufacturing, concurrent engineering, value stream mapping and six sigma. Offered spring semesters. Prerequisites: IE:3700 (056:171) and ENGR:2760 (057:021). Same as ME:4131 (058:131).
 
IE:3350 (056:134) Process Engineering4 s.h.
Methodologies, algorithms, and tools for processing modeling, analysis, and reengineering; modeling issues in product and component design, product and process modularity, quality, reliability, agility. Offered spring semesters. Prerequisites: IE:3700 (056:171).
 
IE:4116 (056:116) Manufacturing Processes and Automation3 s.h.
Material processing, metal cutting theories, forming, micro/nano fabrication, programmable logic controller, computer numerical controllers, discrete control system, DC and AC servo motors, Command generation. Prerequisites: ENGR:2760 (057:021). Same as ME:4116 (058:116).
 
IE:4172 (056:172) Big Data Analytics3 s.h.
Principles of data mining and machine learning in context of big data; basic data mining principles and methods—pattern discovery, clustering, ordering, analysis of different types of data (sets and sequences); machine learning topics including supervised and unsupervised learning, tuning model complexity, dimensionality reduction, nonparametric methods, comparing and combining algorithms; applications of these methods; development of analytical techniques to cope with challenging and real "big data" problems; introduction to MapReduce, Hadoop, and GPU computing tools (Cuda and OpenCL). Prerequisites: MATH:3800 (22M:072) and STAT:2020 (22S:039). Requirements: basic programming skills in C, C++, Java, or Python; knowledge of Matlab, Octave, or R; and knowledge of a word processor. Recommendations: IE:3760 (056:176), CS:4400 (22C:144), CS:3330 (22C:031), and MATH:2550 (22M:033).
 
IE:4550 (056:155) Wind Power Management3 s.h.
Principles of wind power production, wind turbine design, wind park location and design, turbine and wind park control, predictive modeling, integration of wind power with a grid.
 
IE:5129 (056:129) Information Systems for Resource Management3 s.h.
Understanding and managing natural and engineered resources requiring data‑reach foundation; management of data; complex data‑driven technologies integrated into data and information systems (DIS); hands‑on opportunity to develop or use capabilities of DIS for study or research area of interest (science, engineering, industrial operation); wind power generation, an emerging field in Iowa, used as a case study for illustrating key DIS components, links, and functionalities. Same as ME:5129 (058:129), CEE:5129 (053:129), ECE:5129 (055:129), GEOG:5129 (044:140).
 
IE:6232 (056:232) Advanced Computer-Aided Design and Manufacturing3 s.h.
In‑depth study of CAD and manufacturing (CAD/CAM); review of CAD/CAM, computer graphics, NURBS modeling (curves/surfaces, solid modeling, design data exchange); computational geometry for product development, heterogeneous object modeling, rapid prototyping (RP) and layered manufacturing, computer‑aided path planning, CAD applications (computer‑aided tissue engineering, biomedical imaging and processing, biomanufacturing); related lab projects and assignments. Requirements: knowledge of one programming language (C, C++, C#, VB, or Java).
 
IE:6350 (056:235) Computational Intelligence3 s.h.
Concepts, models, algorithms, and tools for development of intelligent systems; data mining, expert systems, neural networks for engineering, medical and systems applications. Prerequisites: IE:3700 (056:171). Same as NURS:6900 (096:313).
 

Human Factors and Ergonomics
 

IE:3400 (056:144) Human Factors3 s.h.
Design of human‑machine systems; development of optimum work environments by applying principles of behavioral science and basic knowledge of human capacities and limits. Offered fall semesters. Prerequisites: PSY:1001 (031:001).
 
IE:3450 (056:147) Ergonomics3 s.h.
Ergonomic design of jobs and products in an industrial and consumer market setting; principles of good design, examples of poor design; consequences of poor job and product design; principles of work sampling, usability studies, performance rating, sizing and planning of workstations, hand tool design, ergonomic design in transportation; related group project.
 
IE:6211 (056:211) Human Factors in Healthcare Systems3 s.h.
Solving human factors problems in health care work systems; cognitive systems engineering, interface design, health care productivity, patient safety; specific research including decision making, information transfer, and communication; discrete event and dynamic systems simulation modeling; human computer interaction; health information technology/systems; usability; business models of organizational, technical, and social elements of health care systems.
 
IE:6410 (056:241) Research Methods in Human Factors Engineering3 s.h.
Logic and methods for research and for analysis and evaluation of complex human‑machine systems; advanced techniques for enhancement of human interaction with advanced information technology; emphasis on cognitive task analysis techniques for innovative design, understanding of how technology affects safety, performance, user acceptance.
 
IE:6420 (056:242) Human/Computer Interaction3 s.h.
Development of projects using human factors principles in the design of computer interfaces.
 
IE:6440 (056:244) Airborne Design of Experiments3 s.h.
Issues in design of airborne human factors research, and techniques applicable to ground transportation research; statistical, human factors, flight mechanics, and organizational principles in flight test engineering; basic understanding of systematic approach to human factors flight testing, development of test points and test apparatus, flight envelope, proper briefing techniques, mission execution, and after‑action review; securing, synchronizing, and analyzing data.
 
IE:6450 (056:245) Human Factors in Aviation3 s.h.
Measuring, modeling, and optimizing human visual performance; display design for optimal legibility, research in visibility, legibility, conspicuity, and camouflage; visibility model development.
 
IE:6460 (056:246) The Design of Virtual Environments3 s.h.
Development of techniques for designing and creating three‑dimensional representations of information for simulation, scientific visualization, and engineering; emphasis on human factors issues, software.
 

Engineering Management
 

IE:2500 (056:054) Engineering Economy3 s.h.
Basic concepts of engineering economy: time value of money, cash flow equivalence, depreciation, tax considerations, continuous cash flows, cost accounting overview; main analysis techniques—present worth, uniform annual cost, rate of return, benefit/cost ratio, replacement and break‑even analysis. Corequisites: STAT:2020 (22S:039).
 
IE:3500 (056:150) Information Systems Design3 s.h.
Structure and design of computer‑based information systems; concepts of information systems, decision making; computer hardware, software, data structures; methods for determining system requirements; designing, implementing, evaluating, managing information systems; applied projects. Prerequisites: ENGR:1300 (059:006).
 

Quality Control and Production Systems
 

IE:3600 (056:162) Quality Control3 s.h.
Basic techniques of statistical quality control; application of control charts for process control variables; design of inspection plans and industrial experimentation; modern management aspects of quality assurance systems. Offered fall semesters. Prerequisites: STAT:2020 (22S:039). Same as STAT:3620 (22S:133), CEE:3142 (053:142).
 
IE:3640 (056:164) Six Sigma Operations and Quality Control3 s.h.
Six Sigma techniques for the DMAIC cycle (Define, Measure, Analyze, Improve, Control); what is needed for data collection (process inputs and outputs, measurement tools), conduct analysis (hypothesis testing, process capability studies), and conduct process improvement studies (design of experiments, response surface methodology); overview of Six Sigma, process and project management skills.
 
IE:4600 (056:160) Operational Systems Design1-4 s.h.
Projects involving product and related operational system design in an industrial or service organization; associated entrepreneurial or intrapreneurial planning. Offered spring semesters. Corequisites: IE:3300 (056:131), IE:3350 (056:134), IE:3400 (056:144), IE:3450 (056:147), IE:3500 (056:150), IE:3600 (056:162), and IE:3750 (056:178); if not taken as prerequisites.
 
IE:4610 (056:161) Enhanced Design Experience2-3 s.h.
Real‑world, in‑depth design experience in student teams, working with engineers at major companies in the region; application of industrial engineering knowledge and skills to design products and related operational systems.
 
IE:5610 (056:268) Reliability Theory and Applications3 s.h.
Fundamental topics in reliability engineering, including system reliability modeling, statistical inference of lifetime data, basic preventive maintenance models; statistics and random process models, and online monitoring and change detection techniques. Prerequisites: MATH:2550 (22M:033) and STAT:2020 (22S:039).
 

Operations Research and Applied Statistics
 

IE:3610 (056:166) Stochastic Modeling3 s.h.
Fundamental probabilistic models and applications of industrial engineering; overview of probability and distributions, stochastic processes and Markov chains, queuing theory, inventory theory, decision theory under uncertainty, and elements of risk management. Prerequisites: STAT:2020 (22S:039). Corequisites: IE:3700 (056:171).
 
IE:3700 (056:171) Operations Research3 s.h.
Operations research models and applications; emphasis on deterministic model (linear programming, duality). Offered fall semesters. Prerequisites: MATH:2550 (22M:033). Corequisites: STAT:2020 (22S:039).
 
IE:3750 (056:178) Digital Systems Simulation3 s.h.
Simulation modeling and analysis; emphasis on construction of models, interpretation of modeling results; input and output analysis; hands‑on usage of ARENA simulation software, manufacturing, health care, and service. Offered spring semesters. Prerequisites: IE:3610 (056:166) and IE:3760 (056:176).
 
IE:3760 (056:176) Applied Linear Regression3 s.h.
Regression analysis with focus on applications; model formulation, checking, selection; interpretation and presentation of analysis results; simple and multiple linear regression; logistic regression; ANOVA; hands‑on data analysis with computer software. Prerequisites: STAT:2010 (22S:030) or STAT:2020 (22S:039). Same as STAT:3200 (22S:152).
 
IE:5860 (056:186) Health Informatics I3 s.h.
Technological tools that support health care administration, management, and decision making. Requirements: graduate standing. Same as MED:5300 (050:283), SLIS:5900 (021:275), RSNM:3195 (074:191), HMP:5370 (174:226), BME:5250 (051:187), IGPI:5200 (200:110).
 
IE:5870 (056:287) Health Informatics II3 s.h.
Selected health informatics initiatives, including computer‑based patient records, physiologic monitoring, networking, imaging, virtual reality; participation in an interdisciplinary project team focused on an informatics innovation; application and research seminars. Same as BME:5252 (051:189), RSNM:5301 (074:192), SLIS:5910 (021:280), IGPI:5210 (200:120).
 
IE:6300 (056:230) Innovation Science and Studies3 s.h.
Innovative typology and sources, classical innovation models, measuring innovation, innovation discovery from data, evolutionary computation in innovation, innovation life cycle.
 
IE:6600 (056:270) Linear Programming3 s.h.
Mathematical programming models; linear and integer programming, transportation models, large‑scale linear programming, network flow models, convex separable programming. Requirements: calculus and linear algebra. Same as MSCI:6600 (06K:286).
 
IE:6720 (056:271) Nonlinear Optimization3 s.h.
Mathematical models, theory, algorithms for constrained and unconstrained optimization; nonlinear, geometric, quadratic, dynamic programming; optimality conditions; aspects of duality theory.
 
IE:6750 (056:274) Stochastic Optimization3 s.h.
General tools and approaches used in decision making under uncertainties; modeling of uncertainties and risk, changes that uncertainties bring to the decision process, difficulties of incorporating uncertainties into optimization models, common techniques for solving stochastic problems.
 
IE:6760 (056:275) Statistical Pattern Recognition3 s.h.
Fundamental mathematical tools for multivariate statistical analysis and decision‑making processes in pattern recognition.
 
IE:6770 (056:276) Game Theory3 s.h.
Problems, challenges, solution strategies, and other elements that arise among decisions makers who have aligned or opposing objectives; changes that collaboration and competition bring to decision making and problem solving; how ideas and concepts of game theory can be used to understand economic, industrial, social, and biological phenomena. Requirements: basic linear programming and probability.
 
IE:6780 (056:277) Financial Engineering and Optimization3 s.h.
Quantitative methods of modeling various financial instruments (i.e., stocks, options, futures) and tools for measurement and control of risks inherent to financial markets; fundamentals of interest rates; options and futures contract valuation, including weather and energy derivatives; risk management and portfolio optimization; emphasis on modeling and solution techniques based on optimization and simulation approaches traditional to industrial engineering and operations research. Recommendations: basic knowledge of probability and statistics, numerical methods, and optimization.
 

Graduate Seminars, Advanced Topics, Research
 

IE:5000 (056:191) Graduate Seminar: Industrial Engineering1 s.h.
Recent advances and research in industrial engineering presented by guest lecturers, faculty, students. Requirements: graduate standing.
 
IE:5995 (056:195) Contemporary Topics in Industrial Engineeringarr.
New topics or areas of study not offered in other industrial engineering courses; topics based on faculty/student interest.
 
IE:5998 (056:198) Individual Investigations: Industrial Engineeringarr.
Individual projects for industrial engineering graduate students: laboratory study, engineering design, analysis and simulation of an engineering system, computer software development, research. Requirements: graduate standing.
 
IE:5999 (056:199) Research: Industrial Engineering M.S. Thesisarr.
Experimental and/or analytical investigation of an approved topic for partial fulfillment of requirements for M.S. with thesis in industrial engineering. Requirements: graduate standing.
 
IE:7995 (056:295) Advanced Topics: Industrial Engineeringarr.
Discussion of current literature in industrial engineering.
 
IE:7998 (056:298) Special Topics in Industrial Engineeringarr.
 
IE:7999 (056:299) Research: Industrial Engineering Ph.D. Dissertationarr.
Experimental and/or analytical investigation of an approved topic for partial fulfillment of requirements for Ph.D. in industrial engineering.
 

Mechanical Engineering

Special Topics
 

ME:0000 (058:000) Cooperative Education Training Assignment: Mechanical Engineering0 s.h.
Mechanical engineering students participating in the Cooperative Education Program register in this course during work assignment periods; registration provides a record of participation in the program on the student's permanent record. Requirements: admission to the Cooperative Education Program.
 
ME:0002 (058:002) Half-time Cooperative Education Training Assignment: Mechanical Engineering0 s.h.
Registration for work assignment periods; for students participating in the Cooperative Education Program.
 
ME:4098 (058:098) Individual Investigations: Mechanical Engineeringarr.
Individual projects for mechanical engineering undergraduate students; laboratory study; engineering design project; analysis, synthesis, simulation of an engineering system; computer software development, research.
 

General Topics
 

ME:2020 (058:020) Mechanical Engineering Sophomore Seminar0 s.h.
Introduction to the mechanical engineering profession and curriculum; ethics and professionalism in classroom and workplace; mentorship program and professional societies; visits to laboratories and local companies. Requirements: sophomore or transfer standing.
 
ME:3091 (058:091) Professional Seminar: Mechanical Engineering0 s.h.
Professional aspects of mechanical engineering: presentations, student/faculty interaction, professional society involvement, panel discussions, plant trip. Requirements: junior standing.
 
ME:3351 (058:051) Engineering Instrumentation2 s.h.
Basic elements of measuring circuits (bridges, voltage dividers, shunts, transformers); laboratory instrumentation (oscilloscopes, multimeters, power supplies, signal generators); amplifiers; frequency response principles; sensors; data acquisition, signal processing, filtering using Labview. Prerequisites: ENGR:2120 (059:008) and PHYS:1612 (029:082).
 
ME:4080 (058:080) Experimental Engineering4 s.h.
Principles of physical measurements; standards calibration, estimation of error; static and dynamic performance of measuring systems; laboratory experience, experiment planning, report writing. Prerequisites: ME:3351 (058:051). Corequisites: ME:3045 (058:045) and ME:3052 (058:052).
 
ME:4086 (058:086) Mechanical Engineering Design Project2-3 s.h.
Application of mechanical, thermal, fluid systems design; student or team design projects initiated at various levels in the design process and carried through to higher levels; emphasis on synthesis, written and oral communication. Corequisites: ME:4048 (058:048) or ME:4055 (058:055).
 
ME:4110 (058:110) Computer-Aided Engineering3 s.h.
Computational engineering modeling and simulation, geometric modeling, grid generation, finite‑element and finite‑volume methods, uncertainty analysis, optimization, engineering applications. Prerequisites: ENGR:2750 (057:019) and ME:3052 (058:052). Same as CEE:4515 (053:115).
 
ME:4111 (058:111) Numerical Calculations3 s.h.
Development of algorithms for functional approximations, numerical differentiation and integration; solution of algebraic and differential equations, with emphasis on digital computations; initial and boundary value problems. Prerequisites: MATH:2560 (22M:034). Same as CEE:4511 (053:111).
 
ME:4112 (058:112) Engineering Design Optimization3 s.h.
Engineering design projects involving modeling, formulation, and analysis using optimization concepts and principles; linear and nonlinear models, optimality conditions, numerical methods. Prerequisites: ENGR:2110 (059:007) and MATH:2550 (22M:033). Requirements: junior standing. Same as CEE:4512 (053:112).
 
ME:4114 (058:114) Predictive Human Modeling3 s.h.
Introduction to basic concepts of predictive human modeling, fundamental programming, Denavit‑Hartenberg notation (robotics), optimization, posture prediction, interface development, validation, and applied problems for digital human models (DHM). Prerequisites: ENGR:1300 (059:006) and MATH:2550 (22M:033).
 
ME:4115 (058:115) Finite Element I3 s.h.
One‑ and two‑dimensional boundary value problems; heat flow, fluid flow, torsion of bars; trusses and frames; isoparametric mapping; higher order elements; elasticity problems; use of commercial software. Prerequisites: ENGR:2750 (057:019). Same as CEE:4533 (053:133).
 
ME:4131 (058:131) Manufacturing Systems3 s.h.
Manufacturing and logistics systems, supply chain management, MRP/ERP systems, lean manufacturing, concurrent engineering, value stream mapping and six sigma. Offered spring semesters. Prerequisites: IE:3700 (056:171) and ENGR:2760 (057:021). Same as IE:3300 (056:131).
 
ME:4186 (058:186) Enhanced Design Experience2-3 s.h.
Experience working in teams on industry‑sponsored design and product development projects scheduled for production; emphasis on practical experience with the complete design process, from conceptualization through prototyping, evaluation, testing, and production; written and oral communication. Prerequisites: ME:4086 (058:086).
 
ME:5113 (058:113) Mathematical Methods in Engineering3 s.h.
Linear ordinary differential equations, series solutions of differential equations, special functions, Laplace transforms, Fourier series, matrices, linear systems, eigenvalue problems, second‑order partial differential equations. Prerequisites: MATH:2550 (22M:033) and MATH:2560 (22M:034). Same as CBE:5140 (052:118), CEE:5513 (053:113).
 
ME:5129 (058:129) Information Systems for Resource Management3 s.h.
Understanding and managing natural and engineered resources requiring data‑reach foundation; management of data; complex data‑driven technologies integrated into data and information systems (DIS); hands‑on opportunity to develop or use capabilities of DIS for study or research area of interest (science, engineering, industrial operation); wind power generation, an emerging field in Iowa, used as a case study for illustrating key DIS components, links, and functionalities. Same as IE:5129 (056:129), CEE:5129 (053:129), ECE:5129 (055:129), GEOG:5129 (044:140).
 

Thermal Engineering and Fluids
 

ME:3040 (058:040) Thermodynamics II3 s.h.
Power and refrigeration cycles; mixtures of gases, psychometric mixtures; availability; thermodynamics of combustion and chemical equilibrium. Prerequisites: ENGR:2130 (059:009).
 
ME:3045 (058:045) Heat Transfer3 s.h.
Principles of heat transfer by conduction, convection, radiation; analytical and numerical methods of solution; applications to engineering problems. Prerequisites: ENGR:2510 (057:020) and MATH:3550 (22M:037). Corequisites: ENGR:2730 (057:017).
 
ME:4048 (058:048) Energy Systems Design4 s.h.
Principles and design of energy conversion systems, including solar, wind, and geothermal power systems; design of thermal‑fluid system components, modeling and simulation of systems, optimization techniques; design projects. Prerequisites: ME:3040 (058:040) and ME:3045 (058:045).
 
ME:4125 (058:125) Biomimetic Fluid Dynamics3 s.h.
Study and development of engineered systems that mimic the structure and function of biological systems; overview of the fluid dynamic principles that govern locomotion by swimming or flapping flight; equations of motion, fundamentals of aerodynamics; analytical models of force generation for swimming and flight; parameters governing effective locomotion; experimental and numerical studies to understand the present state of the art, challenges, and important questions. Prerequisites: ENGR:2510 (057:020).
 
ME:4142 (058:142) Wind Turbine Aerodynamics3 s.h.
Fluid mechanics of wind turbines and wind farms; engineering methodologies to design wind turbine blades; evaluation of rotor wakes; interaction between machines; effects of topography on wind turbine and wind farm performance. Prerequisites: ENGR:2510 (057:020).
 
ME:4164 (058:164) Fundamentals of Wind Turbinesarr.
Application of fundamental principles of thermodynamics, fluid mechanics, and mechanical systems to wind turbine engineering; fundamentals of horizontal‑axis wind turbines, wind energy conversion to useful work; wind turbine aerodynamics, performance, design of components; overview of wind resource and historical development of wind turbines; introduction to wind turbine installation and wind farm operation.
 
ME:5143 (058:143) Computational Fluid and Thermal Engineering3 s.h.
Governing equations of fluid flow and heat transfer; basic numerical techniques for solution of the governing equations; estimation of accuracy and stability of the approximations; boundary conditions; grid generation; applications to flows and heat transfer in engineering systems; familiarity with software for analysis and design of thermo‑fluids systems. Prerequisites: ME:3045 (058:045).
 
ME:5145 (058:145) Intermediate Heat Transfer3 s.h.
Steady and unsteady conduction; forced and natural convection; surface and gaseous radiation; condensation and evaporation; analytical and numerical methods and applications. Prerequisites: ME:3045 (058:045).
 
ME:5146 (058:146) Modeling of Materials Processing3 s.h.
Manufacturing processes for metals, polymers, semiconductors; processing by casting, solidification, crystal growth, polymer molding and extrusion, welding, heat treating, application of optical (laser) and electronmagnetic energy; processes that use momentum, heat, mass transfer principles; measurement and instrumentation for materials processing; current topics in materials processing. Corequisites: ME:3045 (058:045).
 
ME:5149 (058:149) Propulsion Engineering3 s.h.
Opportunity to develop basic understanding and knowledge of rocket and airbreathing propulsion systems, relevant terminology and analysis techniques, parameteric cycle analysis for ideal engines, off‑design analysis methods, problem‑solving methodology. Requirements: ME:3040 (058:040) or graduate standing.
 
ME:5160 (058:160) Intermediate Mechanics of Fluids3 s.h.
Basic concepts and definitions; pressure distribution in a fluid; governing equations and boundary conditions; integral and differential analysis; dimensional analysis and similarity; experimental analysis; laminar and turbulent internal and external flows; potential flows; engineering applications. Prerequisites: ENGR:2510 (057:020) and ME:3040 (058:040). Same as CEE:5369 (053:169).
 
ME:5162 (058:162) Experimental Methods in Fluid Mechanics and Heat Transfer3 s.h.
Hands‑on experience in methodology of conducting experiments in fluid mechanics and heat transfer from design to data acquisition and processing; essential theoretical elements, experimental methodologies, data acquisition systems, uncertainty analysis; wide variety of instruments for fundamental and applied experimentation; work in small groups; design, implement, test, and report an experiment in area of interest. Same as CEE:5372 (053:172).
 
ME:5163 (058:163) Environmental Fluid Dynamics3 s.h.
Same as CEE:5375 (053:175).
 
ME:5180 (058:180) Measurements in Fluid Mechanics: Fundamental and Advanced Topics3 s.h.
General concepts in fluid mechanics measurement; classical methods for flow rate, pressure, velocity, temperature, concentration, and wall shear stress; state‑of‑the‑art methods for flow visualization and full‑field quantitative measurement; introduction to advanced optical measurement method, i.e., particle image velocimetry (PIV), and related image processing techniques; hands‑on training with a class project assignment on writing a computer program to evaluate experimental image recordings. Prerequisites: ENGR:2510 (057:020). Requirements: primary knowledge of fluid mechanics, thermodynamics, and heat transfer; basic skill in computer language.
 
ME:5210 (058:140) Intermediate Thermodynamics3 s.h.
Fundamental principles of thermodynamics as applied to phase equilibrium; properties of fluids, first and second law, variable composition systems, behavior of real fluids, mathematical techniques for solution thermodynamics. Requirements: CBE:3105 (052:103) or ME:3040 (058:040) or graduate standing. Same as CBE:5110 (052:117).
 
ME:6245 (058:245) Diffusive Transport3 s.h.
Diffusive transport of heat, mass, and momentum; phenomenological laws and analogies; analytical and numerical solution techniques; inverse heat conduction; multiphase and multicomponent systems. Prerequisites: ME:5145 (058:145). Same as CBE:6145 (052:272).
 
ME:6260 (058:260) Viscous Flow3 s.h.
Equations of viscous flow; classical analytical and numerical solutions; flow regimes and approximations; laminar boundary layers—equations, solution methods, applications; stability theory and transition; incompressible turbulent flow—mean‑flow and Reynolds‑stress equations, modeling, turbulent boundary layers and free shear flows. Requirements: for ME:6260 (058:260) — ME:5160 (058:160); for CEE:6376 (053:276) — CEE:5369 (053:169). Same as CEE:6376 (053:276).
 
ME:6262 (058:262) Inviscid Flow3 s.h.
Derivation of governing equations for fluid flow; general theorems for motion of inviscid, incompressible flows; solution techniques for two‑ and three‑dimensional irrotational flows; forces and moments acting on immersed bodies; vortex kinematics and dynamics; steady and unsteady aerodynamic theory. Prerequisites: ME:5160 (058:160).
 
ME:6263 (058:263) Compressible Flowarr.
Compressible flow behavior; 1‑D unsteady flow and appropriate use of x‑t diagrams; 2‑D flows and use of the method of characteristics; Burgers' Equation and its properties.
 
ME:6275 (058:275) Advanced Heat Transfer3 s.h.
Conservation laws, forced and natural convection; surface and gaseous radiation; analytical and numerical methods; applications. Prerequisites: ME:5145 (058:145).
 
ME:7248 (058:248) Combustion Theory3 s.h.
Laminar flame theory; turbulent combustion; spray combustion; thermal ignition; pollutant formation, oxidation; combustion diagnostics. Prerequisites: ME:5145 (058:145) and ME:5160 (058:160).
 
ME:7266 (058:266) Interfacial Flows and Transport Processes3 s.h.
Physics of fluid interfaces and numerical techniques to simulate interface dynamics; interfacial flow coupled with thermal‑fluid transport, from molecular interactions to continuum approximations; development of computer code segments to track and represent interface‑flow interactions. Prerequisites: ME:5145 (058:145) and ME:5160 (058:160).
 
ME:7267 (058:267) Multiphase Flow and Transport3 s.h.
Thermodynamic and mechanical aspects of interfacial phenomena and phase transitions; nucleation, phase‑change, species transport, particulate flows, liquid‑vapor systems, solidification, porous media. Prerequisites: ME:5145 (058:145) and ME:5160 (058:160).
 
ME:7268 (058:268) Turbulent Flows3 s.h.
Origin; need for modeling, averages, Reynolds equations, statistical description; experimental methods and analysis; turbulence modeling; free shear layers and boundary layers; complex shearflows; development of computational strategies; recent literature on theory and applications, chaos phenomena. Prerequisites: ME:5160 (058:160).
 
ME:7269 (058:269) Computational Fluid Dynamics and Heat Transfer3 s.h.
Development of numerical and algebraic approximations for elliptic, parabolic, hyperbolic partial differential equations; finite‑volume, spectral, pseudo‑spectral, Galerkin techniques; stability of numerical methods; CFL condition; stiff problems; adaptive grid generation and boundary‑fitted coordinates; numerical solutions for one‑ and two‑dimensional compressible and incompressible fluid flow and heat transfer problems. Prerequisites: ME:4111 (058:111) and ME:5160 (058:160).
 
ME:7296 (058:296) Advanced Topics in Thermal and Fluid Engineeringarr.
Thermodynamics, fluid mechanics, heat and mass transfer, related experimental and analytical techniques; selection of subject and content determined by instructor/student interest.
 

Mechanical Systems
 

ME:3052 (058:052) Mechanical Systems4 s.h.
Topics in mechanical behavior and failure of materials; materials selection in design; stress and deflection analysis; static failure theories; fatigue and durability in design; fracture, statistical, and reliability considerations; introduction to finite element analysis using commercial software packages; standards, product liability, engineering ethics. Prerequisites: ENGR:2750 (057:019). Corequisites: ENGR:2720 (057:015), ENGR:2760 (057:021), and STAT:2020 (22S:039).
 
ME:3179 (058:179) Continuum Mechanicsarr.
Mechanics of continuous media; kinematics of deformation, concepts of stress and strain; conservation laws of mass, momentum and energy; constitutive theories; boundary and initial value problems. Prerequisites: ENGR:2510 (057:020) or ENGR:2750 (057:019). Same as CEE:3179 (053:179).
 
ME:4055 (058:055) Mechanical Systems Design3 s.h.
Kinematics of mechanisms, dynamics and vibration of machines, cam and gear, machine elements, computer‑aided analysis of machines. Prerequisites: ENGR:2710 (057:010) and ME:3052 (058:052).
 
ME:4116 (058:116) Manufacturing Processes and Automation3 s.h.
Material processing, metal cutting theories, forming, micro/nano fabrication, programmable logic controller, computer numerical controllers, discrete control system, DC and AC servo motors, Command generation. Prerequisites: ENGR:2760 (057:021). Same as IE:4116 (056:116).
 
ME:4153 (058:153) Fundamentals of Vibrations3 s.h.
Vibration of linear discrete and continuous mechanical and structural systems; harmonic, periodic, and arbitrary excitation; modal analysis; applications. Prerequisites: ENGR:2750 (057:019). Same as CEE:4532 (053:132).
 
ME:5130 (058:136) Digital Human Modeling and Simulation3 s.h.
Fundamentals of using computational methods in modeling, simulating, and animating articulated kinematic chains such as robots and humans; underlying mathematics, introductory concepts in kinematics and dynamics, serial chain kinematics and multibody dynamics; methods from kinematics and dynamics, coupled with biomechanical concepts, provide an integrated approach to predicting and analyzing serial link motion (e.g., human and robotic manipulator motion). Prerequisites: ENGR:2710 (057:010). Same as BME:5710 (051:162).
 
ME:5150 (058:150) Intermediate Mechanics of Deformable Bodies3 s.h.
Application of equilibrium analyses, strain‑displacement relations, and constitutive relationships to practical structural systems and elementary plane elasticity problems. Prerequisites: ENGR:2750 (057:019). Same as CEE:5540 (053:140), BME:5660 (051:151).
 
ME:5154 (058:154) Intermediate Kinematics and Dynamics3 s.h.
Kinematic and dynamic analysis of mechanical systems; computational kinematics, Lagrangian dynamics, principle of virtual work in dynamics, constrained dynamics, spatial dynamics. Prerequisites: ENGR:2710 (057:010).
 
ME:5159 (058:159) Fracture Mechanics3 s.h.
3‑D stress states, definition and criteria for failure, nominal and local yield phenomena, linear elastic and elastic plastic fracture mechanics, plane stress and plane strain fracture toughness, J‑Integral, crack opening displacement, environmental assisted cracking, fatigue crack growth, fail safe, and damage tolerant design. Prerequisites: BME:4910 (051:085) or ME:4055 (058:055) or ME:5150 (058:150). Same as CEE:5549 (053:149).
 
ME:5167 (058:167) Composite Materials3 s.h.
Mechanical behavior of composite materials and their engineering applications; composite constituents (fibers, particles, matrices) and their properties and behavior; macromechanical behavior of composite laminae; micromechanical predictions of composite overall properties; classical lamination theory; composite beams and plates. Prerequisites: ENGR:2750 (057:019). Same as CEE:5137 (053:137).
 
ME:5360 (058:133) Control Theory3 s.h.
State space approach; controllability, observability, canonical forms, Luenberger observers, feedback control via pole placement, stability, minimal realization and optimal control. Prerequisites: ECE:3600 (055:060). Same as ECE:5600 (055:160).
 
ME:5362 (058:134) Computer-Based Control Systems3 s.h.
Discrete and digital control systems; application of computers in control; sampling theorem; discrete time system models; analysis and design of discrete time systems; control design by state variable and input/output methods; advanced topics in digital controls; lab. Prerequisites: ECE:3600 (055:060). Same as ECE:5640 (055:164).
 
ME:6214 (058:214) Analytical Methods in Mechanical Systems3 s.h.
Vector and function spaces; functionals and operators in Hilbert spaces; calculus of variations and functional analysis with application to mechanics; Ritz and Galerkin methods. Prerequisites: ME:5113 (058:113). Same as CEE:6310 (053:214).
 
ME:6215 (058:215) Finite Element II3 s.h.
Computer implementation; plate and shell elements; mixed and hybrid formulations; nonlinear analysis; recent development; introduction to boundary element method. Prerequisites: CEE:4533 (053:133). Same as CEE:6532 (053:233).
 
ME:6246 (058:246) Advanced Numerical Methods for Mechanical Systems3 s.h.
Introduction to meshfree particle methods, extended finite element method, material stability analysis, thermal‑mechanical coupling, and coupling of finite element/meshfree methods. Requirements: ME:4115 (058:115) or ME:5143 (058:143) or background in computational mechanics, computational chemistry, or computational physics.
 
ME:6247 (058:247) Contact Mechanics3 s.h.
Varied aspects of contact mechanics and engineering applications, including stationary contacts, sliding, rolling, impact, and fretting fatigue; emphasis on theoretical basis of solutions of contact mechanics problems; mathematical methods of solving contact problems using Green's function method; complex potentials and integral transform methods. Prerequisites: ME:5113 (058:113) and ME:5150 (058:150).
 
ME:6252 (058:252) Advanced Continuum Mechanics3 s.h.
Continuum mechanics of fluids and solids, balance laws, invariance restrictions, continuum thermodynamics, constraint theory, mixtures, materials with microstructure. Prerequisites: ME:6262 (058:262). Same as CEE:6547 (053:247).
 
ME:6255 (058:255) Multiscale Modeling3 s.h.
Computational modeling of engineering materials ranging from molecular to continuum scales, molecular dynamics and Monte Carlo methods, nanoscale continuum modeling, scale‑coupling methods. Prerequisites: ME:4115 (058:115) or ME:5143 (058:143). Same as CEE:7549 (053:249).
 
ME:6258 (058:258) Computational Ship Hydrodynamics3 s.h.
Introduction to computation of problems in three main areas of ship hydrodynamics: resistance and propulsion, seakeeping, and maneuvering; focus on issues of simulating operating ships, modeling methods, and numerical techniques used to approach ship hydrodynamics. Prerequisites: ME:5160 (058:160). Corequisites: ME:5143 (058:143).
 
ME:6261 (058:261) Multibody System Dynamics3 s.h.
Introduction to principles of analytical and computational dynamics for rigid and flexible multibody systems; spatial kinematics and dynamics of rigid body systems, numerical solution procedures for multibody dynamics analysis, and flexible multibody dynamics. Prerequisites: ME:5154 (058:154).
 
ME:6278 (058:278) Nonlinear Elasticity3 s.h.
Nonlinear elasticity theory; modern applications in biomechanics; vectors and tensors, constitutive theory of elastic material, some exact solutions of boundary value problems, inverse deformation relations, stability of elastic material, theories of tissue adaptive response. Prerequisites: ME:5150 (058:150). Requirements: elementary linear elasticity.
 
ME:7250 (058:250) Advanced Fracture Mechanics3 s.h.
Fracture of modern engineering materials; linear‑elastic fracture; computational methods; functionally graded materials; elastic‑plastic fracture; multiscale fracture and fatigue crack initiation. Prerequisites: ME:5113 (058:113), and ME:4115 (058:115) or ME:5159 (058:159). Same as CEE:7250 (053:250).
 
ME:7256 (058:256) Computational Solid Mechanics3 s.h.
Advanced computational methods for nonlinear and dynamic analysis of solids, structures; new space‑ and time‑discretization methods for problems, including highly nonlinearities, large deformation, contact/impact conditions. Prerequisites: ME:4115 (058:115) and ME:5113 (058:113).
 
ME:7257 (058:257) Probabilistic Mechanics and Reliability3 s.h.
Stochastic and reliability analysis of mechanical systems; computational methods for structural reliability; random eigenvalue problem; random field and stochastic finite element methods. Prerequisites: ME:4115 (058:115) and ME:5113 (058:113).
 
ME:7259 (058:259) Mechanical Design in Structures3 s.h.
Discrete and continuum variational equilibrium equations, discrete design sensitivity analysis for static responses and eigenvalues, interactive design workstation, continuum sizing design sensitivity analysis for static responses and eigenvalues, design sensitivity analysis of structural dynamics, differentiability theory, shape optimal design, shape design sensitivity analysis, design sensitivity of nonlinear structural systems. Prerequisites: ME:4115 (058:115), ME:5113 (058:113), and ME:5150 (058:150).
 
ME:7265 (058:265) Multiphysics Modeling of Solids3 s.h.
Coupling of mechanical, electrical, electromagnetic, and thermal fields in solids; how to formulate and solve applied multiphysics problems where mechanical, electromagnetic, and thermal loads must be taken into account. Prerequisites: ME:5150 (058:150).
 
ME:7295 (058:295) Advanced Topics in Mechanical Systems3 s.h.
Advanced contemporary topics in mechanical systems engineering not covered in other courses and determined by student/faculty interest.
 

Graduate Seminars, Advanced Topics, Research
 

ME:5195 (058:195) Contemporary Topics in Mechanical Engineeringarr.
New topics in fluid and thermal sciences and mechanical systems not covered in other courses; topic and coverage determined by student/faculty interest. Requirements: junior standing.
 
ME:6191 (058:191) Graduate Seminar: Mechanical Engineering0 s.h.
Presentation and discussion of recent advances and research in mechanical engineering by guest lecturers, faculty, students.
 
ME:6198 (058:198) Individual Investigations: Mechanical Engineeringarr.
Individual project in mechanical engineering, for department graduate students; laboratory study, engineering design project, analysis and simulation of an engineering system, computer software development, research.
 
ME:6199 (058:199) Research: Mechanical Engineering M.S. Thesisarr.
Experimental and/or analytical investigation of an approved topic for partial fulfillment of requirements for M.S. with thesis in mechanical engineering.
 
ME:7299 (058:299) Research: Mechanical Engineering Ph.D. Dissertationarr.
Experimental and/or analytical investigation of an approved topic for partial fulfillment of requirements for Ph.D. in mechanical engineering.