The following courses, numbered 5000-9999, are offered for graduate credit. Courses numbered 5000-6999 which are offered for undergraduate credit only may be found in the undergraduate bulletin, as well as all other undergraduate courses (numbered 0900-4999). Courses in the following list numbered 5000-6999 may be taken for undergraduate credit unless specifically restricted to graduate students as indicated by individual course limitations. For interpretation of numbering system, signs and abbreviations, see University Courses.
Prereq: senior standing. The basic principles of human physiology presented from the engineering viewpoint. Bodily functions, their regulation and control discussed in quantitative terms and illustrated by simple mathematical models when feasible. (F)
Prereq: senior standing. Design, fabrication and testing of customized hardware to aid handicapped patients. (F)
Prereq: senior standing in science or engineering discipline. Identification of a strategy for application of technology in the marketplace; application development, integration into vehicle production, concurrent engineering manufacturing issues, quality and testing in manufacturing. (F)
Special subject matter in industrial engineering. Topics to be announced in Schedule of Classes . (I)
Prereq: graduate standing in engineering or consent of instructor. Fundamentals of digital control and logic; integration and automation solution technologies (barcode systems, vision systems, etc.); data acquisition. (W)
Prereq: graduate standing. Introduction to probability and statistics for engineering students: analysis of random component in problems, understanding probability and statistics, opportunities for application, analysis of data using statistical software. (W)
Prereq: ECE 3300, BME 5010 or BMS 5550, and BME 5020. Engineering principles of physiological measurements. Signal conditioning equipment, amplifiers, recorders and transducers. Recent advances. (I)
Prereq: B E 2100 or placement exam. No credit after I E 4250. Analysis of variability in engineering decision making; data analysis, probabilistic models, hypothesis testing, regression and analysis of variance. (F,W)
Prereq: B E 2100 or placement exam. Design of quality management systems. Topics include: QFD, quality planning, business operating systems, TQM, standards, and auditing. Quality management tools such as PDCA and root case analysis. (W)
Prereq: I E 6210. Proven aspects of maintenance and asset management. Principles of measurement and analysis. Case studies and projects are emphasized. Topics include: maintenance strategy, organization, methodologies, information systems, training programs. (W)
Prereq: B E 2100 or placement exam. Introduction to product assurance in engineering design and manufacturing. Topics include: SQC, acceptance sampling, process capability, control charts, variables data. (W)
Prereq: I E 6210. The design of engineering experiments for manufacturing process analysis, human factors experimentation, societal systems analysis and life testing; basic experimental design models, blocking, factorial experiments, nested designs, covariance analysis, response surface analysis, estimation of effects. (F)
Fundamental theories and concepts in lean manufacturing, six-sigma, mistake proofing, problem solving, process management. Students develop competency in identifying causes and sources of waste in manufacturing, industrial, and business operations. (F)
Product development process: product architectures, concurrent engineering. Integration of marketing, design, and manufacturing functions. How processes are designed to account for various manufacturing and other business constraints to ensure that customer needs are met. (F)
Product and computer-aided design; design for X and CAD software; development of product models using Pro-Engineer software. (F)
Prereq: I E 6415. CAM and process planning. Principles of manufacturing planning and control. Design and integration of ASRS, AGVS, robotic systems in manufacturing. (W)
Coreq: I E 6310. The application of discrete, continuous and combined simulation methods to the solution of a variety of production and service systems problems. Computer simulation and a term project involving an application are required. (F)
Prereq: I E 6442. Qualitative approaches for making facility location, layout, vehicle routings, and inventory management decisions. Applicability of various algorithms to real world applications; case studies.
(F)
Plant location theory, analysis of models of plant location. Models for determining plant size and time phasing. Design of manufacturing warehouse and material handling facilities. Use of analytical and computer-aided methods in the facilities design process. (F)
Review of novel manufacturing processes, methods and systems; emphasis on optimum design for manufacturability, technical, economic, and industrial limitations. Elements of computer-aided manufacturing, and numerical methods application. (W)
Description of queuing systems; analytical solutions; discrete events systems; modeling framework and object models; terminating and non-terminating systems; statistical analysis; case studies. (Y)
Methods for information flow modeling. Information needs of global manufacturer: design, testing, manufacture, and delivery. Partnership relation to suppliers via information. (W)
Introduction to philosophy of operations research. Formulation of linear program models and their solutions. Duality and sensitivity analysis. The transportation model. Introduction to probabilistic modeling and applications of queuing models. Network models decision theory. (F,W)
For the working engineer who requires exposure to basic concepts of 6-Sigma and its work applications. This course is intended for non-IE majors; I E majors should elect I E 7610. (S)
Principles of successful project management including: time and cost management, risk analysis, human resource management. Consideration of both operational and conceptual issues. Introduction to project management tools. (W)
Prereq: graduate standing in engineering. Strategic approach to the management of manufacturing including: relationship to corporate strategy, operationalizing manufacturing concepts, impact of new technology and manufacturing concepts, impact of new technology and manufacturing as a competitive resource; case-studies approach. (Y)
Prereq: prior consent of department and supervisor in semester prior to internship assignment. Offered for S and U grades only. (F,W)
Prereq: I E 5100 or BMS 5550; M E 3400; consent of instructor. Review of models created for impact simulations. Regional impact simulation models. Human and dummy models subject to various restraint systems. (W)
Prereq: M E 2400, and BME 5010 or BMS 5550. Biomechanical response of the body regions and the whole body to impact. Mechanisms of injury in blunt impact. Effects of restraints on injury reduction. Development of test surrogates such as dummies. Material fee as indicated in the Schedule of Classes (I)
Prereq: I E 6210. Fundamental principles including role of variability, types of noise, and variability reduction strategies to increase product quality. Techniques such as: DOE, RSM, Taguchi, reliability estimation, and design for reliability. (I)
Prereq: I E 6210. Quality loss function; introduction to on-line and off-line quality control; product and process design optimization using Taguchi methods; fractional factorial designs using orthogonal arrays and linear graphs; robust design and signal to noise ratio. (W)
Prereq: BME 5010 or BMS 5550. Introduction to mastery of basic tools and methods required for evaluating devices and environments for the elderly. Practical approach to redesign and implementation improvements for the elderly . Adoption of current gerontological literature. (B:F)
Prereq: B E 2100 or placement exam. Reliability measures, failure distributions, reliability block diagrams, reliability estimation using exponential and Weibull distributions, sequential life testing and Bayesian reliability. (F)
Methodology for approaching large-scale systems with many interacting components. Development of ability to decompose large system design problems into manageable stages. (Y)
Topics in product assurance management including: definition, history, philosophy of quality. Strategic elements of proactive quality, design for quality, process project control, reliability program management. (Y)
Role of various technologies in engineering management. Topics may include: artificial intelligence and expert systems; world wide web; ergonomics; TRIEZ technical problem-solving technique; value engineering; mechatronics; systems thinking. (Y)
Topics include: Fundamental theories and concepts in design and operation of production systems for manufacturing and service organizations, using concepts of inventory management, production planning, factory physics, production control and supply, chain management. (W)
Fundamental theories and concepts in design and management of supply chains. Theories and applications of mathematical models in SCM. Logistics, advanced strategic and tactical planning, extended enterprise integration. (F)
Prereq: I E 6400, I E 6410, I E 6420, I E 6421. Integration of product development tools and theory. Industry-based project to develop hands-on experience with integrated project design and development. Application to robust product development methodologies. (W)
Factors that help define the agility of a system; greater workforce autonomy and changes in training and production of technical personnel. Main elements of operations management. (Y)
Analysis and design of flexible manufacturing systems. FMS control and communication architecture, FMS material handling architecture. Flexibility analysis. Computer-integrated manufacturing (CIM). (F)
Integration of design, manufacturing, test, and factory management systems. Computer-based manufacturing systems to improve the quality, speed, and cost effectiveness to create and produce new products. (W)
Prereq: basic knowledge of Linear programming and graduate standing. Introduction to optimization theory and optimization problems. Necessary and sufficient conditions for optimality. Mathematics and algorithms of linear programming. Non-linear programming and integer programming. Research methods. Duality in optimization problems. Geometric programming. (F)
Prereq: graduate standing. Methods for quantifying impact of specific constraints on overall performance of a system; use of journal articles on corporate use of these models. (Y)
Prereq: I E 6210. No credit after I E 6610. For the industrial engineer with a solid foundation in probability and statistics. Advanced knowledge to develop students into 6-Sigma consultants. (S)
Fundamental understanding of various probability models from applied and theoretical perspectives. Topics include: probability review, Markov chains, Poisson process, renewal process, continuous time Markov chains, queuing processes, and inventory applications. (B)
Structure and analysis of technical management decisions with emphasis on multiple objectives and tradeoffs, and significant uncertainty. (F)
Prereq: graduate standing. In-depth treatment of development and implementation of advanced technology; special attention to interaction among technology work process, organization, human resources, and culture. (F)
Prereq: ECE 5120 or CSE 7850 or consent of instructor; strong familiarity with a computer language. Computation intelligence methods used to solve complex engineering problems. Project-centric approach with goal of developing several intelligent systems. (F)
Prereq: graduate standing. Quality philosophies used as basis for quality process improvements; discussions and journal articles used to examine re-engineering, supply chain management, and the human side of quality; team project included. (Y)
Prereq: graduate standing and I E 6420. Review of collaborative engineering tools, techniques and systems related to design and development of engineering products for both co-located and distributed team. (W)
Prereq: written consent of adviser, chairperson and graduate officer for master's students; written consent of adviser, chairperson and Dean of Graduate Studies for Ph.D. students. Student selects some field of industrial engineering for advanced study and instruction. An outline approved by the instructor must be presented before registration in this course. (T)
Special subject matter in industrial engineering. Topics to be announced in Schedule of Classes . (I)
Prereq: consent of adviser and chairperson; outline approved by instructor prior to registration for this course. Advanced design, investigation or experimental work. (T)
Organizational leadership, team building, principles of management and communication, customer analysis, measurement. Assessment and metrics, supplier relationship, management/supplier assessment, customer relationship management. (F)
Prereq: consent of adviser. Integration of knowledge from individual courses in M.S. engineering management curriculum. Team-oriented focus on major industrial problem. (T)
Prereq: I E 7260 or 7270. An in-depth study of current literature in reliability and quality control research. (F)
Prereq: Ph.D. standing. Offered for S and U grades only. Research and development methods. Leading-edge research topics. Platform for student to present preliminary research findings and obtain feedback. (F,W)
Prereq: consent of graduate adviser. (T)
Prereq: consent of department. For Ph.D. program applicants. Offered for S and U grades only. Research in preparation for doctoral dissertation. (T)
Prereq: consent of dissertation adviser; Ph.D. candidate in department. Required in academic-year semester following advancement to Ph.D. candidacy. Offered for S and U grades only. (T)
Prereq: consent of dissertation adviser; I E 9991. Required in academic-year semester following I E 9991. Offered for S and U grades only. (T)
Prereq: consent of dissertation adviser; I E 9992. Required in academic-year semester following I E 9992. Offered for S and U grades only. (T)
Prereq: consent of dissertation adviser; I E 9993. Required in academic-year semester following I E 9993. Offered for S and U grades only. (T)
Prereq: consent of dissertation adviser; completion of 30 credits in I E 9999, or 9991-9994. Offered for S and U grades only. (T)
Prereq: consent of chairperson and departmental graduate committee. No more than ten credits may be elected before doctoral candidacy is obtained. Offered for S and U grades only. (T)