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SYSTEMS AND INDUSTRIAL ENGINEERING (SIE)
196. Proseminar
a. Elite Seminar I (1) [Rpt./ 2] I II
199. Independent Study (1-5) [Rpt./]
250. Introduction to Systems Engineering (3) I System modeling; the elementary constructs and principles of system models including discrete-time, discrete-state system theory; finite state machines; modeling components, coupling, modes, and homomorphisms System design; requirements, life-cycle, performance measures and cost measures, 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, computer-integrated manufacturing, information systems, and simulation. 2ES, 1ED. P, ENGR 102, MATH 125B.
265. Engineering Economic Analysis (3) Methods and modern techniques of engineering economic analysis for decision making, evaluations of economic alternatives, cost control, capital budgeting, managerial cost accounting, deterministic inventory theory and decision-making under uncertainty. 3ES. P, MATH 125B, ENGR 102. (Identical with ENGR 265).
270. Computer Methods for Engineering (3) Application of numerical methods and computer programming techniques to the solution of numerical problems of engineering systems. 1.5ES. P, ENGR 170, MATH 125B, PHYS 141.
296. Proseminar
a. Elite Seminar II (1) [Rpt./ 2] I II
299. Independent Study (1-5) [Rpt./]
299H. Honors Independent Study (1-3) [Rpt./] I
305. Introduction to Engineering Probability and Statistics (3) Axioms of probability, discrete and continuous distributions, sampling distributions. Engineering applications of statistical estimation, hypothesis testing, confidence intervals. P, MATH 125B.
321. Probabilistic Models in Operations Research (3) II Probability, Markov chains, Poisson processes, queuing models, reliability models. 3ES. P, SIE 230.
330L. Engineering Experiment Design Lab (1) I II Application of statistical software to analyze observational and planned experiments using multiple linear regression, control charts and other data summarization methods. .5ES, .5ED. P, SIE 305; CR, SIE 330R.
330R. Engineering Experiment Design (3) I II Design and analysis of observational and factorial experiments employing numerical and graphical methods. Topics include control charts, probability plots, multiple regression analysis, confidence and prediction intervals and significance tests. 1.5ES, 1.5ED. P, SIE 305; CR, SIE 330L.
340. Deterministic Operations Research (3) I Linear programming models, solution techniques, sensitivity analysis and duality. 3ES. P, SIE 265 or ECON 210; SIE 270.
350. Deterministic Systems (3) II Modeling and analysis and design of linear deterministic systems in both the time and frequency domains. Input/output differential equations, Laplace transforms and state space methods. Attention will be given to modeling physical and engineering systems and computer simulations. 3ES. P, ECE 207, MATH 254.
370. Design of Computer Systems (4) I II Boolean algebra, combinational and sequential logic circuits, finite state machines, simple computer architecture, assembly language programming, and real-time 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, 2ED. P, ENGR 102, ECE 207.
377. Software for Engineers (3) I Programming in C. Modular program design and verification, pointers and structures, data structures and algorithms including: lists, trees, graphs, searching and sorting. 1.5ES, 1.5ED. P, SIE 170. Credit allowed for only one of these courses: SIE 377, C SC 342.
383. Integrated Manufacturing Systems (3) II Introduction to the integrated manufacturing enterprise and automation. Topics include computer-aided design, process planning, computer numerical control machining, machine vision, application of robots and automation. 2R, 2L. 2ES, 1ED. P, SIE 260, MSE 331.
396. Proseminar
a. Elite Seminar III (1) I II
399. Independent Study (1-5) [Rpt./]
399H. Honors Independent Study (1-3) [Rpt./] I II
406. Quality Engineering (3) I Quality, improvement and control methods with applications in design, development, manufacturing, delivery and service. Topics include modern quality management philosophies, engineering/statistical methods (including process control, control charts, process capability studies, loss functions, experimentation for improvement) and TQM topics (customer driven quality, teaming, Malcolm Baldrige and ISO 9000). P or CR, SIE 305; SIE 430. May be convened with SIE 506.
408. Systems Reliability Engineering (3) I Time to failure, reliability and hazard functions. Conditional reliability. Distribution, mixed distribution and combined effects models. Series and parallel systems. Analysis of complex systems using event space methods, decomposition, and coherent structure functions. System optimization. Inclusion and exclusion bounding. P, SIE 305. May be convened with SIE 508.
410. Human Factors and Ergonomics in Design I (4) I Consideration of human characteristics in the requirements for design of systems, organizations, facilities and products to enable human-centered design which considers human abilities, limitations and acceptance. 2ES, 2ED.
411. Human Factors and Ergonomics in Design II (3) II Advanced human-centered design with emphasis on human-system interfaces. Applications to computer and information systems, consumer products, manufacturing processes, etc., according to student interest. A project will be required. 1ES, 2ED. P, SIE 410 or consent of instructor. May be convened with SIE 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, SIE 330R, SIE 330L or equivalent. May be convened with SIE 522.
430. Engineering Statistics (3) I II Statistical methodology of estimation, testing hypotheses, goodness-of-fit, nonparametric methods and decision theory as it relates to engineering practice. Significant emphasis on the underlying statistical modeling and assumptions. P, SIE 330R, SIE 330L. May be convened with SIE 530.
431. Simulation Modeling and Analysis (3) I II Discrete event simulation, model development, statistical design and analysis of simulation experiments, variance reduction, random variate generation, Monte Carlo simulation. 1.5ES 1.5ED. CR, SIE 321; P, SIE 330R, SIE 330L. May be convened with SIE 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, SIE 340. May be convened with SIE 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, SIE 431. Writing-Emphasis Course*.
453. Deterministic Control Systems (3) I The analysis and synthesis of deterministic linear control systems, with emphasis on design using both frequency-domain and state-variable approaches. 1.5ES, 1.5ED. P, SIE 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, SIE 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, SIE 462.
464. Facilities Layout and Design (3) II Definition and modeling solutions 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, SIE 321, SIE 340. May be convened with SIE 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, SIE 321, SIE 340. May be convened with SIE 573.
474. Decision Support 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 a decision support system using commercially available expert system shells. Students will use many tools to test and validate their systems. 1ES, 2ED. P, familiarity with computers. May be convened with SIE 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. May be convened with SIE 575.
476. Numerical Analysis (3) I An intermediate-level introduction to numerical methods and error analysis for function approximation and interpolation, integration, solution of linear and nonlinear equations, and differential equations. 3ES. P, MATH 254, computer programming experience. May be convened with SIE 576.
485. Robotics and Automation (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 other sensing techniques. 2ES, 1ED. P, SIE 350 or equivalent. May be convened with SIE 585.
486. Modeling Manufacturing Systems (3) II An intermediate-level 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, SIE 321, SIE 340. May be convened with SIE 586.
495. Colloquium
s. Senior Colloquium (1) I P, senior status, open to majors only.
498. Senior Capstone (1-3) I II
498H. Honors Thesis (3) [Rpt./ 2] I II
499. Independent Study (1-3) [Rpt./]
499H. Honors Independent Study (3) [Rpt./] I II
*Writing-Emphasis Courses. P, satisfaction of the upper-division writing-proficiency requirement (see "Writing-Emphasis Courses" in the Academic Policies and Graduation Requirements section of this manual).
506. Quality Engineering (3) I For a description of course topics see SIE 406. Graduate-level requirements include additional readings and assignments/projects. May be convened with SIE 406.
508. Systems Reliability Engineering (3) I For a description of course topics see SIE 408. Graduate-level requirements include additional readings and assignments/projects. May be convened with SIE 408.
509. Integration of Reliability Testing in Systems Design (3) II Developmental tests, reliability growth tests, truncated life tests, sequential life tests, burn-in, environmental stress screens and field tests. Application of concurrent engineering and Bayesian methods to integrate reliability tests into the overall product development cycle, thereby reducing overall test time and life cycle costs. P, SIE 508, SIE 530.
510. Behavioral Judgement 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, SIE 330L or SIE 530; SIE 330R.
511. Human Factors and Ergonomics in Design II (3) II For a description of course topics see SIE 411. For a description of course topics see 411. Graduate-level requirements include separate examinations and a major project. May be convened with SIE 411.
513. Environmental Risk Analysis (3) I (Identical with HWR 513, which is home).
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, SIE 321.
522. Engineering Decision Making Under Uncertainty (3) I For a description of course topics see SIE 422. Graduate-level requirements include a semester research project. May be convened with SIE 422.
525. Queuing Theory (3) II Application of the theory of stochastic processes to queuing phenomena; introduction to semi-Markov processes; steady-state analysis of birth-death, Markovian, and general single- and multiple-channel queuing systems. P, SIE 520.
528. Maintainability Engineering (3) II Complex systems reliability; maintainability engineering; reliability and availability of maintained systems; operational readiness; system effectiveness; maintainability demonstration. P, SIE 408, SIE 530. Credit allowed for only one of these courses: SIE 528, A ME 577.
529. Advanced Decision-Making Under Uncertainty (3) II 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, SIE 422.
530. Engineering Statistics (3) I II For a description of course topics see SIE 430. Graduate-level requirements include additionally more difficult homework assignments. May be convened with SIE 430.
531. Simulation Modeling and Analysis (3) I II For a description of course topics see SIE 431. Graduate-level requirements include a library research report. May be convened with SIE 431.
532. Statistical Models in Engineering (3) I II Statistical distributions applicable in engineering, with emphasis on quality and reliability problems. Topics include model selection, parameter estimation, and approximations for large-scale systems. P, SIE 530.
536. Experiment Design and Regression (3) II Planning and designing experiments with an emphasis on factorial layout. Includes analysis of experimental and observational data using multiple linear regression and analysis of variance. P, SIE 530.
540. Survey of Optimization Methods (3) II For a description of course topics see SIE 440. Graduate-level requirements include additional assigned readings and a project paper. May be convened with SIE 440.
541. Dynamic Programming (3) II Modeling of stochastic dynamic systems and the application of dynamic programming techniques to optimal decision and control problems. Topics include inventory control, admission and flow control in queuing systems, stochastic scheduling, dynamic portfolio analysis and computational methods. P, SIE 321, SIE 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, SIE 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, SIE 340.
546. Algorithms, Graphs, and Networks (3) II Model formulation and solution of problems on graphs and networks. Topics include heuristics and optimization algorithms on shortest paths, min-cost flow, matching and traveling salesman problems. P, SIE 340. Credit allowed for only one of these courses: SIE 546, MIS 546.
550. Theory of Linear Systems (3) II An intensive study of continuous and discrete linear systems from the state-space viewpoint, including criteria for observability, controllability, and minimal realizations; and optionally, aspects of optimal control, state feedback, and observer theory. P, SIE 350.
551. Modeling Physiological Systems (3) II 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) I Introduction to Discrete Event Dynamical Systems (DEDS) and the associated modeling and analysis tools. Generalized semi-Markov process model of DEDS. Elementary queuing 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. Concurrent Engineering and System Design (3) I Process and tools for systems engineering of large-scale, complex systems: requirements, performance measures, concept exploration, life cycle, function decomposition, system coupling, quality function deployment, multi-objective trade-off analysis, system modeling, design for X, teamworking, project management, ISO 9000 and documentation.
558. Fuzzy Sets in Systems Analysis and Decision Making (3) I Fuzzy numbers' definition, operations; fuzzy regression, interpolation and reliability, fuzzy logic, optimization and control; fuzzy events and decision-making applications in areas such as systems, civil, industrial, electrical, computer engineering and water management.
559. Multi-Objective Analysis of Engineering Systems (3) I Systems design versus operation; multi-objective programming distance-based and outranking techniques; multi-attribute utility; techniques with qualitative criteria; interactive, quasi-interactive and dynamic approaches; model choice; resource and industrial engineering applications. P, SIE 321; CR, SIE 544.
562. Advanced Production Control (3) I Quantitative models in the planning, analysis and control of production systems. Topics include aggregate planning, multi-level production systems, inventory control, capacitated and uncapacitated lot-sizing, Just-in-time systems and scheduling. P, SIE 540, SIE 544.
564. Facilities Layout and Design (3) II For a description of course topics see SIE 464. Graduate-level requirements include additional assigned readings and an in-depth research paper on a course topic. May be convened with SIE 464.
573. Concepts in Information and Communication Systems (3) II For a description of course topics see SIE 473. Graduate-level requirements include a course project in the subject area. May be convened with SIE 473.
574. Decision Support Systems (3) I For a description of course topics see SIE 474. Graduate-level requirements include a strong testing and validation study of student's expert system. May be convened with SIE 474.
575. Computational Methods for Games, Decisions, and Artificial Intelligence (3) II For a description of course topics see SIE 475. Graduate-level requirements include a comprehensive and intensive programming project. May be convened with SIE 475.
576. Numerical Analysis (3) I For a description of course topics see SIE 476. Graduate-level requirements include extra reading assignments and more sophisticated programming assignments. May be convened with SIE 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, on-line computer control. Laboratory projects.
585. Robotics and Automation (3) I For a description of course topics see SIE 485. Graduate-level requirements include two research projects. May be convened with SIE 485.
586. Modeling Manufacturing Systems (3) II For a description of course topics see SIE 486. Graduate-level requirements include additional assigned readings from the current literature and an in-depth paper on re cent research on a course topic. May be convened with SIE 486.
599. Independent Study (1-5) [Rpt./]
606. Advanced Quality Engineering (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, SIE 530, SIE 506.
608. Advanced Topics in Systems Reliability and Availability (3) II In-depth analysis of selected advanced topics in reliability engineering from the recent archival literature. Project required. P, SIE 508, SIE 520, SIE 530.
620. Selected Topics in Probability Modeling (3) [Rpt./ 2] II An advanced discussion of a subject in applied probability with significant interest to engineering. Individual projects in stochastic modeling. P, SIE 520.
625. Advanced Queuing Theory (3) II Study of complex queuing models of engineering interest. Emphasis on algorithmic methods for the study of such models. P, SIE 525.
631. Digital Systems Simulation (3) II Emphasis on current research problems including random variate generation, modeling, language development and statistical analysis of output. P, SIE 431 or MIS 521A or MIS 521B.
636. Advanced Experiment Design (3) I Robust product and process design through planned experiments, emphasizing the integration of loss functions, parameter design and tolerance design.
640. Topics of Optimization (3) I Convexity, optimality conditions, duality, and topics related to the instructor's research interests; e.g., stochastic programming, nonsmooth optimization, interior point methods. P, SIE 544 or SIE 540.
645. Large-Scale Optimization (3) I Decomposition-coordination algorithms for large-scale 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, SIE 544.
646. Integer and Combinatorial Optimization (3) I II Modeling and solving problems where the decisions form a discrete set. Topics include model development, branch and bound methods, cutting plane methods, relaxations, computational complexity, and solving well-structured problems. P, SIE 544.
654. Model-Based System Design (3) II Development of the system design requirements: input/output, technology, performance, cost tradeoff and system test. Defining and specifying the system and model requirements. Study of various systems design tools. P, SIE 554.
662. Topics in Scheduling and Planning (3) II Current topics in scheduling and planning including theory and models for M-machine scheduling problems, multi-echelon inventory theory, stochastic inventory control and scheduling. P, SIE 520, SIE 562.
685. Advanced Topics in Robotics and Automation (3) II Selected topics covering recent advances in robotics and automation, to be chosen from a list including applications, kinematics, dynamics, tactile sensing, vision and intelligent systems. P, SIE 585.
686. Advanced Manufacturing System Modeling (3) I Current topics in design and analysis of manufacturing systems. Topics include serial processing lines, queuing networks and FMS. Student projects. P, SIE 562 or SIE 586.
695. Colloquium
a. Doctoral (1-3) [Rpt./ 12 units] I II Consult department before enrolling.
696. Seminar
g. Interstate Conflict Resolution (3) [Rpt./ 1] II (Identical with AREC 696G, HWR 696G).
699. Independent Study (1-6)
900. Research (2-8) [Rpt./]
909. Master's Report (1-6) [Rpt./]
910. Thesis (1-6) [Rpt./]
920. Dissertation (1-9) [Rpt./]
930. Supplementary Registration (1-9) [Rpt./]