122 / FIELDS OF INSTRUCTION with specialization in industrial engineering, operations research, and systems engineering. A degree in one of the engineering disciplines or in mathematics, statistics, physics, computer sciences, quan- titative management, or similarfields is prerequisite. Where the student's background is deficient, an articulation pro- gram of foundation courses will be required. EIN 6246L-Human Factors Engineering (2) Prereq: course in human engineering or perceptual psychology. Effects of human factors on the performance of systems containing extensive man- machine interactions. EIN 6318-Work Measurement Theory (3) Prereq: EIN 3314L, ESI 6417, STA 4321. Systems of work measurement and work methods. Comparison of systems. EIN 6336-Advanced Production and Inventory Control (3) Prereq: ESI 6417, 6429. Production planning and control; prob- lem identification and formulation. Mathematical theory ofsingle- and multicommodity inventory systems; problem solving using dynamic programming and Markov chains. EIN 6357-Advanced Engineering Economy (3) Prereq: STA 4321. Economic analysis of capital expenditure decisions. Finan- cial mathematics and microeconomics. Decision under risk and uncertainty. Game theory and utility theory. EIN 6358-Decision Theory (2) Prereq: EIN 6357, ESI 6417. Formulation of decision criteria and decision strategies in a probabilistic environment. Industrial applications of input-output analysis and von Neumann-Morgenstern utility theory. Statistical decision functions. EIN 6367-Facilities Layout and Location (3) Prereq: ESI 6417. Planar and discrete layout problems and locations problems; network location problems. Single- and multi-objectives. Indus- trial and public sector applications. EIN 6388-Statistical Forecasting Models (3) Prereq: ESI 4567, STA 4322. Classification of models for forecasting; polynominal and autoregressive models; the problem of smoothing; cross- correlation and its use; the Box-Jenkins method; estimation of model parameters; forecast error; analysis of industrial data. EIN 6397-Seminar in Manufacturing Systems Engineering (1-2; max: 5) Current topics in manufacturing. Automation, robotics, computervision, communication networks, labor relations, manu- facturing processes. EIN 6508-Health Systems Analysis (3) Prereq: consent of in- structor. Introduction to quantitative analysis, total value analysis, resource allocation techniques, stochastic service systems, simu- lation, quality of care audits, and hospital control and manage- ment systems. EIN 6905-Special Problems (1-6; max: 9) Laboratory, lecture, field work, or conferences. EIN 6910-Supervised Research (1-5; max: 5) S/U. EIN 6918-Graduate Seminar (1; max: 15) S/U. EIN 6940-Supervised Teaching (1-5; max: 5) S/U. EIN 6971-Research for Master's Thesis (1-15) S/U. EIN 6972-Research for Engineer's Thesis (1-15) S/U. EIN 7933-Special Problems (1-6; max: 12) Laboratory, lecture, field work, or conferences. EIN 7979-Advanced Research (1-9) Research for doctoral stu- dents before admission to candidacy. Designed for students with a master's degree in the field of study or for students who have been accepted for a doctoral program. Not open to students who have been admitted to candidacy. S/U. EIN 7980-Research for Doctoral Dissertation (1-15) S/U. ESI 5236-Reliability Engineering (3) Prereq: ESI 4568, STA 4322. Mathematical models and methods of reliability engineer- ing. Typical component failure distributions; system reliability as a function of component reliability. Reliability block diagrams and fault trees. ESI 5309-Operations Research: A Survey of Techniques and Applications I (3) ESI 5310-Operations Research: A Survey of Techniques and Applications II (3) ESI 6100C-Deterministic Methods in Operations Research (4) Introduction to basic models and their solution with modern computer packages. Emphasis on modeling, computer solution, and sensitivity analysis with minimal reference to model theory and development of algorithmic methods. ESI 6101--Applied Probability Methods in Engineering (3) Theory and statistics, reliability engineering, quality control, robust de- sign, forecasting, Markov processes, and queueing theory. ESI 6155C-Advanced Computer Programming for Manufactur- ing Control (3) Prereq: COP 3212, CNM 3100. Principles and uses of production control digital computers. Software develop- ment for industrial hardware such as robots, milling machines, and automated warehouses. Laboratory developing and testing code on actual hardware. ESI 6162C-Advanced Industrial Applications of Microproces- sors (3) Prereq: COP 3212. Concepts of microprocessors; micro- computer architecture and languages. Interfacing and computa- tional requirements. Applications to industrial and manufacturing systems. Emphasis on laboratory experiments and "hands-on" experience. ESI 6200-Principles of Manufacturing Systems Engineering (3) Introduction to modern manufacturing systems. Components of product and process design, computer-integrated manufacturing and automation. Current areas of development and research. ESI 6201-Manufacturing Management (3) Prereq: ESI 6100C and probability and statistics. Variety and importance of manage- ment decisions. Total quality management, just-in time manufac- turing, concurrent engineering, material requirements planning, production scheduling, and inventory control. ESI 6222-Statistical Quality Control (3) Prereq: STA 4321, 6206. Theory and practice for the control of manufacturing processes. Control statistics and their derivation. Mathematics of sampling plans. Bayesian decision rules. Applications. ESI 6238-Reliability Theory (3) Prereq: ESI 4568, STA 4322. Reliability and stochastic models as a function of system configu- rations. Reliability predictions for various underlying component failure laws. Sensitivity analysis. Models of interdependent sys- tems. ESI 6337-Markov Processes, Queueing Theory, and Applica- tions (3) Prereq: ESI 4568, STA 4321 or 6326. Development of Markov models in discrete and continuous time. Classification of queues. Analysis of selected systems. ESI 6358-Games and Decision Theory (3) Prereq: ESI 6417and probability theory. Games in extensive and normal form. Two- person zero-sum bimatrix and multi-stage games. Coalitions and n-person games. Games against nature and Bayesian decision theory. ESI 6417-Linear Programming and Network Optimization (3) Prereq: matrix theory. Formulation and solution techniques for network flow and linear programming problems. Algorithms for network optimization. The simplex method, theory and computa- tion. Duality theory, sensitivity analysis. ESI 6418-Linear Programming Extensions and Applications (3) Prereq: ESI 6417, 6429. Extension of linear programming to large scale linear and nonlinear problems. Integer programming meth- ods. Applications of the methodology to real world models. ESI 6429-Introduction to Nonlinear and Dynamic Program- ming (3) Prereq: ESI 6417 and multivariable calculus. Classical optimality conditions, constrained optimality conditions. Basic nonlinear programming algorithms, dynamic programming tech- niques. ESI 6458-Network Flows and Graph Theory (3) Prereq: ESI 6417. Mathematical formulations and solution techniques for networkflowand combinatorial optimization problems. Applica- tion to problems of scheduling, routing, and network design. ESI 6508-Systems Analysis I (3) Prereq: ES 4568, STA 4321, EEL 4657. Reviewof linearsystems. State variable methodsfor systems analysis. Techniques of modeling. Computer methods. Applica- tion to control problems. ESI 6529-Digital Simulation Techniques (3) Prereq: computer programming and probability theory. Computer programming aspects of digital simulation. Deterministic simulation; stochastic simulation. Use of simulation languages. ESI 6546-Stochastic Systems Analysis 1 (3) Prereq: ESI 6337 or STA 6826. Classification of stochastic processes. Axiomatic deri- vation of the Poisson process. Filtered Poisson process. Renewal processes. Branching processes. Selected applications.