2013-2014 Graduate Catalog Downloadable PDF (10.71MB)

464 Course Descriptions/Industrial and Systems Engineering612. Design by Reliability. (3-0). Credit 3. Quantitative reliability analysis in engineering design. Reliabilitymethods applicable to risk based design, component reliability and degradation, static and dynamicsystem reliability modeling and analysis, life testing, stress/strength analysis, and fault tree analysis.Prerequisites: ISEN 609; STAT 414.613. Engineering Data Analysis. (3-0). Credit 3. Selected topics in probability and data analysis for qualityin engineering problems; measurement principles, data collection and data analysis to solve qualityengineering problems. Introduction to courses in the assurance sciences-reliability, maintainability,quality control and robust design.614. Advanced Quality Control. (3-0). Credit 3. Advanced methods applied to quality control and anomalydetection; classical treatments and recent developments in statistical process control; evaluation,design and maintenance of quality control programs; focus on monitoring and root cause identification.Prerequisite: STAT 212 or STAT 601.615. Production and Inventory Control. (3-0). Credit 3. Model development for inventory managementand for production planning; production control models for line balancing, lot sizing, dispatching,scheduling, releasing, kitting, MRP and just-in-time with treatment of flexible manufacturing and assembly.Prerequisites: ISEN 620; ISEN 609.616. Design and Analysis of Industrial Experiments. (3-0). Credit 3. Fundamental theory, concepts andprocedures required for industrial experimental design, statistical data analysis, and model building,with emphasis on engineering formulations and applications. One-factor experiments with and withoutrestrictions on randomization, treatment comparison procedures, Latin and other squares, factorialexperiments, full and fractional two-level factorial experiments, blocking in factorial designs, responsesurface methodologies and introduction to Taguchi methods. Prerequisite: STAT 212 or STAT 601.617. Quantitative Models for Supply Chain Coordination. (3-0). Credit 3. Concepts, complexities, andmodels pertaining to supply chain management and relate these to recent practical initiatives; includeschannel coordination models, supply chain contracting, and vendor-managed, inventory models. Prerequisites:ISEN 615, ISEN 623, and ISEN 609 or STAT 615 or approval of instructor.618. Stochastic Processes in the Assurance Sciences. (3-0). Credit 3. Stochastic processes necessaryto deal with advanced problems in reliability, maintainability and other related areas. Prerequisite:ISEN 602.619. Analysis and Prediction. (3-0). Credit 3. Data-mining methods and data-driven models; statisticalmodel building and parameter estimation for Markov processes; sampling of dynamic systems withrandom disturbances; on-line identification algorithms; design of time-series control charts for processmonitoring; multivariate analysis; applications using real data. Prerequisite: ISEN 609.620. Survey of Optimization. (3-0). Credit 3. Theory and numerical methods for deterministic linear andnonlinear optimization; topics include linear programming, unconstrained-nonlinear optimization,constrained-nonlinear optimization, Lagrange and K-K-T conditions, and numerical algorithms. Prerequisite:MATH 304 or MATH 311.621. Heuristic Optimization. (3-0). Credit 3. Focus on heuristic optimization methods that search beyondlocal optima; includes neighborhood search methods and advanced search strategies such as geneticalgorithms, simulated annealing, neural networks, tabu search, and greedy randomized adaptivesearch procedures. Prerequisites: ISEN 620 or ISEN 622 or approval of instructor.622. Linear Programming. (3-0). Credit 3. Development of the mathematics and algorithms associatedwith linear programming; convex sets and cones, polyhedral sets, duality theory, sensitivity analysis,simplex, revised simplex and dual simplex methods; also covered are bounded variables, column generation,decomposition, integer programming; computer assignment. Prerequisite: MATH 304.623. Nonlinear and Dynamic Programming. (3-0). Credit 3. Understanding of algorithms for nonlinearoptimatization; development of optimality conditions and different types of algorithms for unconstrainedand constrained problems; formulation and solution of many types of discrete dynamic programmingproblems. Prerequisite: MATH 304.624. Applied Distribution and Queueing Theory. (3-0). Credit 3. Queueing theory and its applications;single and multiple channels, priorities, balking, batch arrivals and service, and selected non-Markoviantopics. Prerequisite: ISEN 609 or ECEN 646.625. Simulation Methods and Applications. (2-3). Credit 3. Fundamental methodologies of simulationmodeling; random number and variate generation, statistical analysis of model output, and discreteevent modeling using a commercial simulation language. Prerequisite: STAT 212 or STAT 601.