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Cover Photo 2007-2008 Catalog Online

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Industrial and Systems Engineering (IME)

Chairperson: Professor Wang

220 Introduction to Industrial Engineering (3)

Role of industrial engineers, productivity and quality in production systems, optimization, work measurement, micromotion study and standard data, job evaluation, human factors and ergonomics. (Lec. 3) Pre: MTH 141.

240 Manufacturing Processes (3)

Introduction to manufacturing processes. Processes, measurement, accuracy, and precision as they relate to deformation, structure, and material properties. (Lec. 3) Pre: CHM 101 and PHY 204.

241 Laboratory for Manufacturing Processes (1)

Laboratory demonstrations and experiments in machining, casting, metrology, and rapid prototyping. Plant visits and lab tours. (Lab. 3) Pre: credit or concurrent enrollment in 240.

325 Computer Tools for Engineers (3)

Visual basic programming, including VBA and other computer tools and applications used in engineering. (Lec. 3) Pre: MTH 141.

340 (or CHE 340) Materials Processing and Metrology I (3)

An introduction to the fundamentals of materials processing and the relationship to material properties. Manufacturing properties of materials. Characteristics and basic analysis of forming processes, material removal processes and joining processes. (Lec. 3) Pre: CHE 333 or 437 and CVE 220.

391, 392 Special Problems in Industrial Engineering (1-3 each)

Independent study and seminar work under close faculty supervision. Discussion of advanced topics in preparation for graduate work. (Independent Study) Pre: junior standing and permission of instructor.

404 Engineering Economy and Project Planning (3)

Effects of economics on engineering decisions in design, selection, and product or project proposals, project planning, resource allocation, and scheduling using computer-based tools. (Lec. 3) Not for graduate credit in industrial and systems engineering.

411 Probability and Statistics for Engineers (3)

Introduction to probability and statistics in engineering applications including data analysis, probability theory, random variables, probability distributions, sampling and sampling distributions, and statistical inference. (Lec. 3) Pre: MTH 243 or permission of instructor.

412 Statistical Methods and Quality Control (3)

Study of statistical methods and quality control in engineering applications including sampling and sampling distributions, statistical inference, quality improvement tools, control charts, process capability, design of experiments, and acceptance sampling. (Lec. 3) Pre: 411 or STA 409 or permission of instructor.

432 Operations Research: Deterministic Systems (3)

Introduction to major areas of operations research and their application to systems analysis. Linear programming, transportation and transshipment models, elementary network analysis, integer programming, and related topics. (Lec. 3) Pre: MTH 243, 362 or equivalent.

433 Operations Research: Stochastic Systems (3)

Markov chains, dynamic programming, queuing theory, simulation, forecasting, game theory simple stochastic models, and their relation to selected problems. (Lec. 3) Pre: 411 and MTH 362 or permission of instructor.

443 Machining and Machine Tools (3)

Machine tool motions, power requirements, and machining times. Mechanics and economics of metal machining. Introduction to numerical control and computer-aided programming of CNC machine tools. (Lec. 3) Pre: CVE 220 and IME 240 or 340.

444 Assembly and Handling Automation (3)

Types and economics of automatic assembly systems. Analyses of automatic feeding and orienting techniques for small parts. Application of robots in assembly. (Lec. 3) Pre: MCE 263 and IME 240 or 340.

446 (or MCE 446) Metal Deformation Processes (3)

Study of the characteristics of metal flow under different loading conditions. Theories, capabilities, and limitations of a wide range of deformation processes applied to industrial metalworking. (Lec. 3) Pre: 240 or 340, CVE 220, and CHE 333.

449 (or MCE 449) Product Design for Manufacture (3)

Techniques for analyzing product structures for ease of assembly and manufacture. Manual, robot, and high-speed mechanized assembly systems considered for mechanical and electronic products. Covers choice of material and processes in early design. (Lec. 3) Pre: 240 or 340, 443, or permission of instructor.

451 Industrial Engineering Design I (3)

Stochastic and deterministic models of production and inventory systems. Aggregate planning, push and pull production control systems, lean production systems, and scheduling. (Lec. 3) Pre: 432 and concurrent enrollment in 433 or permission of instructor.

452 Industrial Engineering Design II (3)

A team project approach to industrial engineering design including assembly lines, transfer lines, scheduling, cellular manufacturing, flexible manufacturing facilities, operation and material flow design; facilities design and operation; production systems design. (Lec. 3) Pre: 451 or permission of instructor.

460 Product Design for Environment (3)

Principles and practices of designing more environmentally beneficial products. Environmental effects. Life cycle analysis, recycling and remanufacturing. Design for disassembly and environment. Group projects on product and process design using LCA and DFE analysis tools. (Lec. 3) Pre: 240 or 340, CHE 333 or 437.

491, 492 Special Problems (1-6 each)

Advanced work under the supervision of a member of the faculty and arranged to suit the individual requirements of the student. (Independent Study) Pre: permission of instructor. May be repeated for a maximum of 12 credits.

500 Network Application in Industrial Engineering (3)

Industrial systems problems that can be formulated in terms of network. Critical path method/PERT applications, maximum flow in network, network analysis and synthesis, max-flow and min-cost network. GERT stochastic network modeling and applications. (Lec. 3) Pre: 432 or permission of instructor. In alternate years.

513 (or STA 513) Quality Engineering (3)

Topics in statistical quality control systems. Single, multiple, and sequential sampling. Design and analysis of a wide variety of statistical control systems used in conjunction with discrete and continuous data, for several kinds of data emission. (Lec. 3) Pre: 412 or equivalent.

525 (or CSC 525 or ELE 515) Systems Simulation (3)

Simulation of random processes and systems. Continuous and discrete simulation models. Data structures and algorithms for simulation. Generation of random variates, design of simulation experiments for optimization and validation of models and results. Selected engineering applications. (Lec. 3) Pre: CSC 212 or IME 325, IME 433 or ELE 509, or permission of the instructor.

533 Advanced Statistical Methods for Research and Industry (3)

Describing and analyzing data, design of experiments, analysis of variance, regression analysis, and applications in industry and applied science research. (Lec. 3) Pre: 411 or permission of instructor.

540 Production Control and Inventory Systems (3)

Theory and practice of industrial production control and inventory systems. A broad spectrum of mathematical models for static, dynamic, perpetual, and periodic inventory systems as they affect and relate to production. (Lec. 3) Pre: 432 or permission of instructor.

541 Advanced Materials Processing (3)

Engineering analyses in the processing of materials. Rapid manufacturing fundamentals. Nontraditional manufacturing techniques. Dynamic coupling, tool-work-piece interaction, energy and thermal analysis; mechanics of material removal and displacements. (Lec. 3) Pre: 240 or 340, or permission of instructor.

542 Introduction to Computer-Aided Manufacturing (3)

Use of computers in manufacturing. Solid modeling principles and applications. Numerical and adaptive control. CNC programming. Introduction to rapid manufacturing. (Lec. 3) Pre: 240 or permission of instructor.

543 Fundamentals of Machining (3)

Fundamental treatment of the mechanics and economics of metal machining and grinding. Includes an introduction to numerical control and computer-aided programming of CNC machine tools. (Lec. 3) Pre: CVE 220 and IME 240 or 340 or permission of instructor. Not for graduate credit for students with credit in 443.

544 Automatic Assembly (3)

Types and economics of automatic assembly systems. Analysis of automatic feeding and orienting techniques for small parts. Application of robots in assembly. Economics of assembly systems for printed circuit boards. (Lec. 3) Pre: 240 or permission of instructor. Not for graduate credit for students with credit in 444.

545 Manufacturing Systems (3)

Problems in system analysis and design as related to manufacturing. Quantitative models and simulation methods for manufacturing planning, control, scheduling, flexible manufacturing or highly automated manufacturing systems. (Lec. 3) Pre: 432 or permission of instructor.

546 Advanced Metal Deformation Processes (3)

Theory of metal flow under different loading conditions. Prediction of metal forming process capabilities. Advanced topics include effects of anisotropy and mechanics of powder forming. (Lec. 3) Pre: 340 or permission of instructor. Not for graduate credit for students with credit in 446.

549 (or MCE 549) Advanced Product Design for Manufacture (3)

Techniques for analyzing product structures for ease of assembly and manufacture. Considers mechanical and electronic products and choice of materials and processes. A design project and term paper are required. (Lec. 3) Pre: 240 or 340 or permission of instructor. Not for graduate credit for students with credit in 449.

550 Design for Producibility (3)

Project work on product development, collaboration with industry, and submission of design project report. Concentration on effect of design decisions on manufacturing efficiency and cost. (Independent Study) Pre: 449 or 549 or permission of instructor.

552 Lean Systems (3)

Advanced study of manufacturing system design including application of lean principles to service industries. Specific topics include waste elimination, reduction of cycle and set-up times, reconfigurable systems, quality and performance analysis. (Lec. 3) Pre: 451 or permission of instructor.

555 Deterministic Systems Optimization (3)

Linear, nonlinear, and integer formulations and solutions. Sensitivity analysis and pricing problems; degeneracy and duality; decomposition methods for large-scale systems; use of mathematical programming languages and applications. Pre: 451or permission of instructor. In alternate years.

591, 592 Special Problems (1-6 each)

Advanced work under supervision of a faculty member arranged to suit the individual requirements of the student. (Independent Study) Pre: permission of instructor. May be repeated for a maximum of 12 credits.

599 Master’s Thesis Research

Number of credits is determined each semester in consultation with the major professor or program committee. (Independent Study) S/U credit.

634 Design and Analysis of Industrial Experiments (3)

Advanced topics in the design and analysis of experiments: factorial designs, blocking and confounding in factorial designs, fractional factorial designs, response surface methods and designs, nested and split-plot designs, other design and analysis topics. (Lec. 3) Pre: 533 or permission of instructor.

660 Nonlinear Optimization (3)

Methods of optimization: indirect, direct elimination, climbing. Geometric programming. Problems and other topics in applied optimization. (Lec. 3) Pre: CSC 550 or permission of instructor.

691, 692 Advanced Special Problems in Industrial Engineering (1-6 each)

Advanced work under the supervision of a faculty member arranged to suit the individual requirements of the student. (Independent Study) Pre: permission of instructor. May be repeated for a maximum of 12 credits.

699 Doctoral Dissertation Research

Number of credits is determined each semester in consultation with the major professor or program committee. (Independent Study) S/U only.


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