Harold and Inge Marcus Department of

Industrial and Manufacturing Engineering

The first Industrial Engineering department in the world


IE Human Factors Courses

IE 302: Engineering Economy
Principles and methods for analyzing the economic feasibility of technical alternatives leading to a decision or recommendation.
Prerequisite(s): MATH 141
Contact:A. Ravindran

IE 327: Introduction to Work Design
Physical and cognitive considerations in the design, analysis, and measurement of work; with practical case studies in a laboratory.
Prerequisite(s): Math 141, EMCH 211 or EMCH 210
Contact:A. Freivalds

IE 330: Information Technology for Industrial Engineering
The study and application of computing and information technology to Industrial Engineering.
Prerequisite(s): MATH 141 and CMPSC 200, 201 or 202
Contact:S. Kumara

IE 408: Cognitive Work Design
Design and evaluation of cognitive work, including the human/computer interface, visual displays, software design, and automated system monitoring, with emphasis on human performance. (IE 419 may be substituted for this requirement.)
Prerequisite(s): IE 327
Contact:L. Rothrock

IE 418: Human/Computer Interface Design
Design and evaluation of the human/computer interface, including human performance, visual displays, software design, and automated system monitoring.
Prerequisite(s): IE 330
Contact:L. Rothrock

IE 419: Work Design - Productivity and Safety
Methods improvement, Physical work design, productivity, work measurement; principles and practice of safety. (IE 408 may be substituted for this requirement.)
Prerequisite(s): IE 327
Contact:A. Freivalds

IE 453: Simulation Modeling for Decision Support
Introduction of concepts of simulation modeling and analysis, with application to manufacturing, production and service systems.
Prerequisite(s): CMPSC 200, CMPSC 201 or CMPSC 202, IE 323 and IE 425
Contact:C. Harmonosky

IE 480W: Capstone Design Project
Industry-based senior capstone design project emphasizing manufacturing systems, service systems, and information systems in an interdisciplinary setting.
Prerequisite(s): IE 302, IE 305, IE 323, IE 327, IE 330, and IE 405

IE 496: Independent Studies
Various Topics

IE 511: Experimental Design in Engineering
Statistical design and analysis of experiments in engineering; experimental models and experimental designs using the analysis of variance.
Prerequisite(s): IE 323
Contact:E. Castillo

IE 522: Discrete Event Systems Simulation
The study of the fundamentals of discrete event simulation, including event scheduling, time advance mechanisms, random variate generation, and output analysis.
Prerequisite(s): IE 425
Contact:D. Medeiros

IE 552: Mechanics of the Musculoskeletal System
Structure and biomechanics of bone, cartilage, and skeletal muscle; dynamics and control of musculoskeletal system models.
Prerequisite(s): Consent of program
Prerequisite or Concurrent: BIOL 472
Contact:A. Freivalds

IE 553: Engineering of Human Work
Physics and physiology of humans at work; models of muscle strength, dynamic movements; neural control; physical work capacity; rest allocation.
Prerequisite(s): BIOL 41 or 472
Contact:A. Freivalds

IE 557: Human-in-the-Loop Simulation
This course is designed to provide graduate students in engineering the capability to develop an interactive, real-time simulation and to create interfaces for an interactive simulation. The course will cover key phases in the life cycle of interactive systems development to include design, implementation, and evaluation. Course topics will be explored through application in supervisory control of complex, dynamic systems. Java will be the programming language used for software development in this course.
Prerequisite(s): IE 418, IE 453 or equivalent
Prerequisite or Concurrent: IE 522
Contact:L. Rothrock

IE 558: Engineering of Cognitive Work
Information processing and decision making models of the human in the modern workplace, emphasizing visual inspection and other industrial applications.
Prerequisite(s): IE 323 and 408
Contact:L. Rothrock

IE 562: Expert Systems Design in Industrial Engineering
Methodological aspects of expert systems design and review of some existing systems with emphasis on manufacturing and industrial engineering.
Prerequisite(s): Mathematical Skills (Statistics, Differential calculus), and Programming in Java (and/or) C++
Contact:S. Kumara

IE 582: Advanced Information Technology for Industrial and Manufacturing Engineering
Students will learn Advanced Information Technology concepts, tools and techniques for designing and implementing manufacturing systems.
Prerequisite(s): CMPSC 201, CSE 103 or MIS 432
Contact:S. Kumara

IE 583: Response Surface Methodology & Optimization
Response Surface Methodology (RSM) is a set of Statistical and Optimization techniques aimed at optimizing the quality characteristics of static, stochastic production process. Topics include: design for first order polynomial models, designs for second order polynomial models, optimization of first and second order polynomial models, multiple response surface optimization, Taguchi's Robust parameter design and RSM and design and analysis of mixture experiments.
Prerequisite(s): IE 511 or STAT 501
Contact:E. Castillo

IE 584: Time Series Control & Process Adjustment
Statistical analysis and design of process adjustment methods for quality improvement purposes. Topics include ARIMA time series models, autocorrelation and SPC, integration of SPC schemes and feedback control, identification and estimation of transfer function models, design and analysis of optimal stochastic controllers, PID and EWMA controllers, self-tuning and multivariate control.
Prerequisite(s): IE 423 or an introductory course in Statistical Quality Control
Contact:E. Castillo

IE 590: IE Colloquium
Presentation by speakers from industry, government, outside faculty, and graduate students.
Prerequisite(s): Graduate Standing in Industrial Engineering

IE 597x: Workforce Engineering
Quantitative applications related to determining workforce size, skill-sets, and multi-functionality in service and manufacturing systems based on measurable quality and productivity performance.
Prerequisite(s): IE 405
Contact:D.Nembhard