The University of Arizona 199395 General Catalog Catalog Home All UA Catalogs UA Home

Systems and Industrial Engineering (SIE) Engineering Building, Room 111 (520) 6268181 Professors Pitu B. Mirchandani, Head, Ronald G. Askin, A. Terry Bahill, Lucien Duckstein, William R. Ferrell, Marcel F. Neuts, John S. Ramberg, Donald G. Schultz (Emeritus), Soroosh Sorooshian, Ferenc Szidarovszky, A. Wayne Wymore (Emeritus), Sidney J. Yakowitz Associate Professors Robert L. Baker (Emeritus), Duane L. Dietrich, Jeffrey B. Goldberg, Julia L. Higle, Suvrajeet Sen Assistant Professors Emmanuel Fernandez, Sanjay Jagdale, Renato Monteiro, FeiYue Wang Instructor Frank W. Ciarallo, John R. Lyon Adjunct Professor Walter Arnell Adjunct Associate Professor Sandra Newsome Adjunct Assistant Professor Kenneth L. Head, William Thompson The Department of Systems and Industrial Engineering in the College of Engineering and Mines offers the degrees of Bachelor of Science in Systems Engineering, Bachelor of Science in Industrial Engineering, Master of Science with a major in systems, industrial, or reliability and quality engineering, and Doctor of Philosophy with a major in systems and industrial engineering. For specific undergraduate program requirements, see the College of Engineering and Mines section of this catalog. 230. Introduction to Engineering Probability and Statistics (3) I II S Axioms of probability, discrete and continuous distributions, sampling distributions. Engineering applications of statistical estimation, hypothesis testing, confidence intervals.. P, MATH 125b. 250. Introduction to Systems Engineering (3) I System modeling; the elementary constructs and principles of system models including discretetime, discretestate system theory; finite state machines; modeling components, coupling, modes, and homomorphisms. System design; requirements, lifecycle, performance measures, costs, tradeoffs, alternative design concepts, testing plan, and documentation. Applications and case studies from engineering. 2ES, 1ED. P, ENGR 102, MATH 125b. 260. Introduction to Industrial and Manufacturing Systems (3) I Analysis, design and control of manufacturing and production systems, including topics in facilities layout and location, materials handling, inventory control, computerintegrated manufacturing, information systems, and simulation. 2ES, 1ED. P, ENGR 102, MATH 125b. 265. Engineering Economic Analysis (3) I II S Methods and modern techniques of engineering economic analysis for decision making. Topics from evaluations of economic alternatives, cost control, capital budgeting, managerial cost accounting and deterministic inventory theory and decisionmaking under uncertainty. 3ES. P, ENGR 102, MATH 125b. (Identical with ENGR 265) 270. Computer Methods for Engineering (3) I II S Application of numerical methods and computer programming techniques to the solution of numerical problems of engineering systems. 1.5ES. P, ENGR 102, MATH 125b and PHYS 110. 321. Probabilistic Models in Operations Research (3) II Probability, Markov chains, Poisson processes, queueing models, reliability models. 3ES. P, 230. 330R. Engineering Statistics (3) I II Design of engineering experiments and associated analytical and graphical data analysis methods, including tests of significance, confidence intervals, multiple regression, and probability plots. 1.5ES, 1.5ED. P, MATH 254, SIE 230, CR 330L. 330L. Engineering Statistics Lab (1) I II Problem solving in the applications of engineering statistics. 0.5ES, 0.5ED. CR, 330R. 340. Deterministic Operations Research (3) I Deterministic models and methods of operations research linear programming, including models, theory and algorithms. 3ES. P, MATH 254. 350. Deterministic Systems (3) II Analysis and design of linear deterministic systems in both the time and frequency domains using Fourier analysis, Laplace transforms and state space methods. Attention will be given to modeling physical and engineering systems. 3ES. P, MATH 254. 370. Microcomputer Systems (4) I II Boolean algebra, combinational and sequential logic circuits, state machines, simple computer architecture, assembly language programming, and realtime computer control. The computer is used as an example of systems engineering design; it is analyzed as a system, not as a collection of components. 3R, 3L. 1ES, 3ED. P, ENGR 102, ECE 207. 377. Software for Engineers (3) I FORTRAN and C. Modular design, program verification, data structures, and development of algorithms. Credit is allowed for this course or C SC 342, but not for both. 1.5ES, 1.5ED. CR, 321. 383. Integrated Manufacturing Systems (3) II Introduction to the integrated manufacturing enterprise and automation. Topics include computeraided design, process planning, computer numerical control machining, machine vision, application of robots and automation. 2R, 2L. 2ES, 1ED. P, 260, MSE 331. 406. Engineering Quality Control (3) II Quality planning, online statistical process control techniques for monitoring and improving the quality of manufactured products, acceptance sampling, and government standards. 2ES, 1ED. P, 230 or A ME 474, CR, 330R, 330L. 408. Reliability Engineering (3) I Timetotime failure, failure rate, and reliability determination for early, useful and wear out lives; equipment reliability predictions; spare parts provisioning; reliability growth; reliability allocation. Credit for this course or A ME 472. P, 330 or A ME 413a, MATH 223. 1.5ES, 1.5ED. May be convened with 508. 410. Industrial Ergonomics (4) I Human performance and wellbeing as affected by workplace, environment and task. Analysis and design for prevention and solution of ergonomic problems. Basic measurements and design methods. 2ES, 2ED. P, 230, PSYC 101. 411. Human Interaction with Computers and Software (4) II The interaction of technical requirements with the characteristics of computer users and programmers as they affect the design of software, and the physical and cognitive interfaces between people and computers. 1ES, 3ED. May be convened with 511. 422. Engineering Decision Making Under Uncertainty (3) I Application of principles of probability and statistics to the design and control of engineering systems in a random or uncertain environment. Emphasis is placed on Bayesian decision analysis. 1ES, 2ED. P, 330R330L or equivalent. May be convened with 522. 430. Engineering Statistics (3) I II Statistical methodology of estimation, testing hypotheses, goodnessoffit, nonparametric methods and decision theory as it relates to engineering practice. Significant emphasis on the underlying statistical modeling and assumptions. P, 330R, 330L. May be convened with 530. 431. Digital Systems Simulation (3) I II Simulation modeling of systems using digital computer languages, emphasizing random variate generation, modeling, timekeeping structures and statistical design and analysis of simulation experiments. 1.5ES, 1.5ED. P, 321, 330R, 330L. May be convened with 531. 440. Survey of Optimization Methods (3) II Survey of methods including network flows, integer programming, nonlinear programming, and dynamic programming. Model development and solution algorithms are covered. 3ES. P, 340. May be convened with 540. 442. System Design Projects (3) I II Practical application of engineering knowledge by student teams to actual system design problems in industry or business. Development of report writing and oral presentation skills. 3ED. P, 431. WritingEmphasis Course. P, satisfaction of the upperdivision writingproficiency requirement (see "WritingEmphasis Courses" in the Academic Policies and Graduation Requirements section of this catalog). 453. Deterministic Control Systems (3) I The analysis and synthesis of deterministic linear control systems, with emphasis on design using both frequencydomain and statevariable approaches. 1.5ES, 1.5ED. P, 350. 462. Production Systems Analysis (3) I Production systems, quantitative methods for forecasting, aggregate planning, inventory control, materials requirement planning, production scheduling, manpower planning and facility design. 3ES. P, 340. 463. Facilities and Production Systems Design (3) I Case studies emphasizing aspects of production systems design such as facility location, facility layout, group technology, product and process design, material handling, and automated assembly. The student will be required to work in groups. Solutions will be presented using both written and oral reports. 3ED. CR, 462. 464. Facilities Layout and Location (3) II Modeling and solution of continuous and discrete, single and multifacility location problems for various objectives. Relative location and layout of facilities/departments for minimizing material handling and interaction costs. Emphasis on quantitative methods. 2ES, 1ED. P, 321, 340. May be convened with 564. 473. Concepts in Information and Communication Systems (3) II Modeling and analysis of information and communication, systems/networks for applications in telecommunication, systems and computer communication networks. Topics selected from the following: signal representation, sampling, coding and error detection, modulation, OSI network architecture, network protocols, delay models of performance, routing and flow control. 3ES. P, 321, 340. May be convened with 573. 474. Expert Systems (3) I Building, testing and evaluating expert systems, computer systems that emulate the human and draw conclusions based on incomplete or inaccurate data. Each student will build an expert system using commercially available expert system shells. 1ES, 2ED. P, familiarity with computers. May be convened with 574. 475. Computational Methods for Games, Decisions, and Artificial Intelligence (3) II An introduction to automata, computer representation and optimal solution of games and decision problems. Principles of heuristic programming and machine learning. A programming project is to be selected from areas such as game strategies, graphics, recreational mathematics, and manufacturing simulation. Microcomputer experience is emphasized. 1.5ES, 1.5ED. P, 270 or C SC 227. May be convened with 575. 476. Numerical Analysis (3) I An intermediatelevel introduction to numerical methods and error analysis for function approximation and interpolation, integration, solution of linear and nonlinear equations, and differential equations. 3ES. P, ENGR 102, MATH 254. May be convened with 576. 485. Introduction to Robotics (3) I Methods of design and operation of general purpose and industrial manipulation systems. Kinematic and dynamic models of mechanical manipulators. Trajectory planning. Manipulator control. Robotic vision and sensors. Computer software, languages and simulation methods for robotics systems. Mathematical theory of intelligent machines and application to automation. 3ES. P, 350. May be convened with 585. 486. Modeling Manufacturing Systems (3) II An intermediatelevel introduction to topics in hierarchical design, planning, and control of manufacturing systems. Topics include modeling automated transfer lines, cellular manufacturing, and flexible manufacturing systems. Emphasis on material flow and analysis of throughput rate. 2ES, 1ED, P, 321, 340. May be convened with 586. 495. Colloquium s. Senior (1) I Open to majors only. P, senior standing. 507. Advanced Engineering Quality Control (3) II Advanced techniques for statistical quality assurance, including multivariate control charting, principal components analysis, economic design of acceptance sampling plans and control charts, inspection errors, and select papers from the recent literature. P, 530. 508. Reliability Engineering (3) I For a description of course topics, see 408. Graduatelevel requirements include a special report of 30 pages on a specific reliability engineering topic. Credit for this course or A ME 572. May be convened with 408. 510. Behavioral Judgment and Decision Making (3) II Models and theories of human judgment and decision from an engineering perspective. Subjective probability, value and utility. Methods for aiding and supporting decision making. P, 330R, 330L or 530. 511. Human Interaction with Computers and Software (4) II For a description of course topics, see 411. Graduatelevel requirements include separate examinations and a major project. May be convened with 411. 513. Environmental Risk Analysis (3) I 199495 (Identical with HWR 513) 518. Reliability Testing (3) II Meantimebetweenfailure and reliability confidence limits; sequential testing; sampling; accelerated, suddendeath, and suspendeditems; nonparametric, and Bayesian testing. Credit for this course or A ME 575. P, 408, 530. 520. Stochastic Modeling I (3) I Modeling of stochastic processes from an applied viewpoint. Markov chains in discrete and continuous time, renewal theory, applications to engineering processes. P, 321. 521a521b. Advanced Systems Modeling and Simulation (33) (Identical with MIS 521a521b) 522. Engineering Decision Making Under Uncertainty (3) I For a description of course topics, see 422. Graduatelevel requirements include a semester research project. P, 330R, 330L. May be convened with 422. 525. Queueing Theory (3) II Application of the theory of stochastic processes to queueing phenomena; introduction to semi Markov processes; steadystate analysis of birthdeath, Markovian, and general single and multiplechannel queueing systems. P, 520. 528. Maintainability Engineering (3) II Complex systems reliability; maintainability engineering; reliability and availability of maintained systems; operational readiness; system effectiveness; maintainability demonstration. Credit for this course or A ME 577, but not for both. P, 408, 530. 529. Advanced DecisionMaking Under Uncertainty (3) II 199394 Review of statistical decision theory; utility, games, Bayesian decision theory. Conjugate priors, worth of data, worth of information sequential decision making. Engineering and water resource applications. P, 422. 530. Engineering Statistics (3) I II For a description of course topics, see 430. Graduatelevel requirements include additionally more difficult homework assignments. P, 330R, 330L or equivalent. May be convened with 430. 531. Digital Systems Simulation (3) I II For a description of course topics, see 431. Graduatelevel requirements include a library research report. May be convened with 431. 532. Statistical Models in Engineering (3) Statistical distributions applicable in engineering, with emphasis on quality and reliability problems. Topics include model selection, parameter estimation, and approximations for largescale systems. P, 530. 536. Experiment Design for Engineering I (3) I Design and analysis of experiments for engineering design and manufacture. Topics include classical designs, Japanese approaches, analysis of variance and regression analysis. P, 530 or STAT 566a. 537. Experiment Design for Engineering II (3) II Continuation of 536. Topics include response surface analysis, related empirical optimization methods, random effects models and nested designs. P, 536. 540. Survey of Optimization Methods (3) II For a description of course topics, see 440. Graduatelevel requirements include additional assigned readings and a project paper. P, 340, May be convened with 440. 541. Dynamic Programming (3) II 199394 Application of the art and theory of dynamic programming to common stochastic and deterministic sequential decision problems, including equipment replacement, capacity expansion, inventory planning and decision analysis. P, 321, 340. 544. Linear Programming (3) I Linear and integer programming formulations, simplex method, geometry of the simplex method, sensitivity and duality, projective transformation methods. P, 340. 545. Nonlinear Programming (3) II Unconstrained and constrained optimization problems from a numerical standpoint. Topics include variable metric methods, optimality conditions, quadratic programming, penalty and barrier function methods, interior point methods, successive quadratic programming methods. P, 340. 546. Algorithms and Heuristics for Graphs and Networks (3) II 199495 Stateoftheart solution methods for several practical problems that may be formulated on graphs and networks. Emphasis on obtaining good solutions in reasonable time when optimization proves intractible. P, 544. 550. Theory of Linear Systems (3) II An intensive study of continuous and discrete linear systems from the statespace viewpoint, including criteria for observability, controllability, and minimal realizations; and optionally, aspects of optimal control, state feedback, and observer theory. P, 350. 551. Modeling Physiological Systems (3) Development and validation of models, sensitivity analyses, and applications of systems engineering techniques to physiological systems. 552. Analysis and Optimization of Discrete Event Dynamical Systems (3) Introduction to Discrete Event Dynamical Systems (DEDS) and the associated modeling and analysis tools. Generalized semiMarkov process model of DEDS. Elementary queueing model operational analysis. Mean value analysis. Perturbation analysis. Supervisory control methodology of DEDS. Applications to computer and manufacturing systems. P, linear algebra and vector calculus; basic probability and statistics. 554. Mathematical Systems Engineering Design (3) I Tools for modeling and concurrent engineering of largescale, complex systems: documentation, a system design language, quality function deployment, system coupling, subsystems, and homomorphisms. 558. Fuzzy Sets in Systems Analysis and Analysis, and Decision Making (3) I 199394 Fuzzy numbers' definition, operations; fuzzy regression, interpolation and reliability, fuzzy logic, optimization and control; fuzzy events and decisionmaking applications in areas such as systems, civil, industrial, electrical, computer engineering and water management. 559. MultiObjective Analysis of Engineering Systems (3) I 1994 95 Systems design versus operation; multiobjective programming distancebased and outranking techniques; multiattribute utility; techniques with qualitative criteria; interactive, quasiinteractive and dynamic approaches; model choice; resource and industrial engineering applications. P, 321, CR, 544. 562. Scheduling Theory (3) I 199394 Introduction to sequencing and scheduling. Algorithms for single, multiple, and parallel processor scheduling problems. Special purpose methods, discrete programming and heuristic methods. Complexity of scheduling problems. Industrial practice. 564. Facilities Layout and Location (3) II For a description of course topics, see 464. Graduatelevel requirements include additional assigned readings and an indepth research paper on a course topic. P, 340, 462. May be convened with 464. 567. Advanced Production Control (3) II Quantitative models in the planning, analysis, and control of multilevel production systems. Topics include aggregate planning, inventory control, capacitated and uncapacitated lotsizing, and JustinTime systems. P, 544, 321. 573. Concepts in Information and Communication Systems (3) II For a description of course topics, see 473. Graduatelevel requirements include a course project in the subject area. P, 321, 340. May be convened with 473. 574. Expert Systems (3) I For a description of course topics, see 474. Graduatelevel requirements include a strong testing and validation study of student's expert system. P, familiarity with computers. May be convened with 474. 575. Computational Methods for Games, Decisions, and Artificial Intelligence (3) II For a description of course topics, see 475. Graduatelevel requirements include a comprehensive and intensive programming project. P, 270 or C SC 227. May be convened with 475. 576. Numerical Analysis (3) I For a description of course topics, see 476. Graduatelevel requirements include extra reading assignments and more sophisticated programming assignments. P, ENGR 102, MATH 254, or equivalent skill in PASCAL or FORTRAN. May be convened with 476. 583. Computer Integrated Manufacturing Systems (3) I Modern manufacturing systems with emphasis on information requirements and data management. Includes CAD, CAM, CAPP, real time scheduling, networking and system justification. 584. Manufacturing Automation (3) II Current topics in hardware for automation, selecting and implementing robots, part orientation, computer vision, automated warehousing and material handling, programmable controllers, NC machining, online computer control. Laboratory projects. 585. Introduction to Robotics (3) I For a description of course topics, see 485. Graduatelevel requirements include two research projects. P, 350. May be convened with 485. 586. Modeling Manufacturing Systems (3) II For a description of course topics, see 486. Graduatelevel requirements include additional assigned readings from the current literature and an indepth paper on recent research on a course topic. P, 321, 340. May be convened with 486. 608. Selected Topics in Reliability (3) I Indepth analysis of selected advanced topics in reliability engineering from the recent archival literature. Project required. P, 530, A ME 577. 620. Selected Topics in Probability Modeling (3) II [Rpt./2] An advanced discussion of a subject in applied probability with significant interest to engineering. Individual projects in stochastic modeling. P, 520. 625. Advanced Queueing Theory (3) Study of complex queueing models of engineering interest. Emphasis on algorithmic methods for the study of such models. P, 525. 631. Digital Systems Simulation (3) Emphasis on current research problems including random variate generation, modeling, language development and statistical analysis of output. P, 431 or MIS 521a or 521b. 640. Topics of Optimization (3) [Rpt./2] I Convexity, optimality conditions, duality, and topics related to the instructor's research interests; e.g., stochastic programming, nonsmooth optimization, interior point methods. P, 544 or 540. 645. LargeScale Optimization (3) I 199495 Decomposition coordination algorithms for largescale mathematical programming. Methods include generalized Benders decomposition, resource and price directive methods, subgradient optimization, and descent methods of nondifferentiable optimization. Application of these methods to stochastic programming will be emphasized. P, 544. 646. Integer and Combinatorial Optimization (3) 199394 Modeling and solving problems where the decisions form a discrete set. Topics include model development, brand and bound methods, cutting plane methods, relaxations, computational complexity, and solving wellstructured problems. P, 544. 654. Mathematical Theory of System Design (3) II Formal presentation of the system design process. Development of the system design requirements: input/output, technology, performance, utilization of resources, tradeoff, and system test. Defining and specifying the system model requirements. P, 554. 685. Advanced Topics in Robotics (3) II Selected topics covering recent advances in robotics, to be chosen from a list including applications, kinematics, dynamics, tactile sensing and vision. P, 485. 686. Advanced Manufacturing System Modeling (3) I 199394 Current topics in design and analysis of manufacturing systems. Topics include serial processing lines, queueing networks and FMS. Student projects. P, 567 or 586. 695. Colloquium a. Doctoral (13) [Rpt./12 units] I II Consult department before enrolling. 696. Seminar m. Operations Research Methods to Water Resources Systems (13) [Rpt./1] II P, consult department before enrolling. (Identical with HWR 696m, which is the home) 
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