DESCRIPTIONS The analysis, design and maintenance of work meth- ods. Study of time standards and work sampling. Equipment design and its impact on human perfor- mance. EIN 4221 Total Quality Management. Credits: 3; Prereq: Upper level classification in engi- neering; introductory course in statistics, or consent of the instructor. Philosophy of continuous improvement and method- ology for applying team problem solving to manufac- turing and service industries. Hands-on application of the basic statistical quality tools; introduction to qual- ity function deployment; concurrent engineering; busi- ness process reengineering; process analysis; bench- marking. Team project. EIN 4243 Human Engineering. Credits: 3; Prereq: STA 4322 or STA 4210. Design, analysis, and evaluation of man-machine systems. Emphasis on interaction of human and non- human components and resultant effect upon total sys- tem performance. Discussion of man's physical, men- tal and psychological characteristics and limitations. EIN 4321 Industrial Energy Management Credits: 3; prereq: PHY 3041 or PHY 3049, EML 3100, EIN 4354. Introduction to energy conservation. Supply-demand data, energy economics, investment analysis, and energy legislation. Audits, waste heat recovery, cogeneration and computerized energy management systems. EIN 4333 Production and Inventory Control. Credits: 4; Prereq: EIN 3314C, EIN 4354, ESI 4313, STA 4322 or STA 4210. Analysis of production and inventory systems. Forecasting, scheduling, sequencing, project manage- ment. Deterministic and stochastic inventory models for single and multi-item systems. Analysis of distrib- ution systems. EIN 4335 Production Systems Analysis and Design. Credits: 3; Coreq: EIN 4333; Prereq: EIN 4365, ESI 4221C, ESI4523. Integration of industrial and systems engineering methodologies with emphasis on methods of success- ful implementation. A project and case-study oriented course. EIN 4354 Engineering Economy. Credits: 3; Prereq: upper division classification in engineering. Basic principles and applications of economic deci- sion-making between alternatives encountered in engineering systems projects. The analysis will include methodologies of economics and finance in addition to engineering fundamentals. EIN 4355 Games and Economic Decision Models. Credits: 3; Prereq: EN 4354, ESI 4567. Study of decisions under risk and uncertainty, empha- sizing utility theory, Bayesian decision theory and game theory. EIN 4365 Facilities Planning and Material Handling. Credits: 3; Prereq: ENC 2210 or ENC 3250 and ESI 4312. Principles and methods for analyzing and designing plant facilities. Selected topics include systematic and computerized layout planning, warehouse design, materials handling and automated storage retrieval systems. EIN 4905 Special Problems in Industrial and Systems Engineering. Credits: I to 4; May be repeated up to a maximum of 9 credits. Problems and systems studies associated with honors programs representing undergraduate research. Selected advanced topics including new developments and techniques in industrial and systems engineering. EIN 4937 Industrial and Systems Engineering Seminar. Credits: Itt; Prereq: upper division classification in Industrial and Systems Engineering. Lectures and discussions on general and specific engi- neering problems. Individual investigations and research reports on assigned topics. Orientation for an industrial career. EIN 4939 Undergraduate Seminar in Manufacturing Systems Engineering. Credits: 1 to 2; Max. 5; Prereq: ENC 2210 or ENC 3250. Current topics in manufacturing: automation, robot- ics, computer vision communication networks, labor relations, manufacturing processes. May be repeated for additional credit. EIN 4944 Practical Work in Industrial and Systems Engineering. Credits: 1 to 3tt; max; 3; Prereq: 4EG classification. One term of industrial employment, including extra work according to a preapproved outline. Practical engineering work under industrial supervision as set forth in the College of Engineering regulations. Engineering Systems-Industrial ESI 3154C Production Control Computer Programming. Credits: 3; Prereq: MAD 3400. Basic principles and uses of production control digital computers. Consideration of analog-to-digital and digital-to-analog conversions and production auto- mated systems control. Laboratory using automated warehouse, robots and minicomputers. ESI4161C Industrial Applications of Microprocessors. Credits: 4; Prereq: CGS 2425. Basic concepts of microprocessors; an overview of computer architecture, functions and machine lan- guage. Discussion of external imputs, outputs, inter- facing and computational requirements. Examples of commercial applications are shown. Applications to industrial systems. Emphasis on laboratory experi- ments and "hands-on" experience. ESI 4221C Industrial Quality Control. Credits: 3; Prereq: STA 3032 or STA 4321. Factors affecting variation in product quality. The use of control charts to evaluate and control manufactur- ing processes. Techniques for acceptance and reliabil- ity testing. Laboratory exercises illustrate the opera- tion and control of manufacturing processes. ESI4235 Stochastic Systems and Reliability Models. Credits: 3; Prereq: ESI4568, STA 4322 or STA 4210. Stochastic processes as models for system behavior. Renewal theory; reliability function and hazard func- tion. Typical failure distributions; redundant systems, models of repair and maintenance. ESI4312 Operations Research 1. Credits: 3; Prereq: CGS 2425, ESI4567. Classical optimization; methods of Lagrange multipli- ers; Kuhn-Tucker conditions. Linear programming; simplex algorithm, sensitivity analysis; duality. Transportation and assignment problems; network flows. Integer programming. Applications. ESI 4313 Operations Research 2. Credits: 3; Prereq: ESI 4312, ESI 4568, STA 4321 or STA 3032. Dynamic programming and optimization. Markov processes and queueing theory. Network analysis. Applications. ESI4523 Industrial Systems Simulation. Credits: 3; Prereq: CGS 2425, STA 4321 or STA 3032. Simulation methodology and languages (such as GPSS, General Purpose Simulation System). Design and analysis of simulation experiments. Applications to the solution of industrial and service system problems. ESI4567 Matrix Methods in Systems Engineering. Credits: 3; Prereq: MAC 2313. Theory and application of vector spaces and matrices to systems problems. Analysis of linear transforma- tions, simultaneous linear equations, characteristic values and quadratic forms. Convex sets and n- dimensional geometry. ESI4568 Transform Methods in Systems Engineering. Credits: 3; Prereq: MAP 2302 or EGM 3311. Solutions of differential, integral and difference equa- tions arising in systems engineering and operations research problems using Laplace and Z-transform methods. Operational approaches will be stressed. ESI 4949 Co-Op Work Experience. Credits: Itt; max. 3. Practical engineering work under industrial supervi- sion, as set forth in the College of Engineering Regula- tions. Mathematics Discrete MAD 3400 Numerical Techniques. Credits: 2; Prereq: CGS 2425; Coreq: MAP 2302 or EGM 3311. Techniques used in the computer solution of numeri- cal problems. Error analysis, use of series, linear and nonlinear equations, integration, differential equa- tions, curve fitting, eigenvalues, partial fractions. Office: Turlington 2014 (392-6800) Interdisciplinary Studies Major IDS 4906 Interdisciplinary Thesis Research. F, S, SS. Credits: 1 to 12; Coreq: Acceptance into interdiscipli- nary major program and approval of director. Other Interdisciplinary Courses BES 2121 Creative and Critical Thinking. (S) IDS 2931 Frontiers of Human Knowledge. Credits: 3. This course is offered by graduate research professors and eminent scholars in the university. These senior scholars, discussing research in their areas of expertise, introduce students to the current state of knowledge across a broad range of academic disciplines. IDS 4905 Individual Study. F, S, SS. Credits: Ito 7. For select undergraduates undertaking in-depth col- lege approved courses of study. The project, as part of the student's planned program, must be approved by the dean and carried out under the guidance of a fac- ulty member. A maximum of 7 credits. IDS 4940 Internship F, S, SS. Credits: 1 to 3tt; max. 3. Permission of departmental representative or pro- gram director required. Supervision by a faculty member or delegated authority and a post-internship written report are required. tt Grading is on S-U basis only.