[an error occurred while processing this directive] courses
[an error occurred while processing this directive]
IE 3041. Industrial Assignment I.
(2.0 cr; QP-ME upper division, registration in ME co-op program; SP-ME upper division, registration in ME co-op program; A-F only)
Industrial work assignment in engineering intern program. Evaluation based on student's formal written report covering semester's work assignment.
 
IE 4042. Industrial Assignment II.
(2.0 cr; QP-ME undergrad, registration in ME co-op program; SP-ME upper div, registration in ME co-op program; A-F only)
Industrial work assignment in engineering intern program. Evaluation based on student's formal written report.
 
IE 4043. Industrial Assignment III.
(4.0 cr; QP-3742; SP-4042; A-F only)
Solution of system design problems that require developing criteria, evaluating alternatives, and generating a preliminary design. Final report emphasizes design communication and describes design decision process, analysis, and final recommendations.
 
IE 4521. Statistics, Quality, and Reliability.
(4.0 cr; QP-Math 1261 or equiv; SP-Upper div or grad student or CNR)
Random variables/probability distributions, statistical sampling/measurement, statistical inferencing, confidence intervals, hypothesis testing, single/multivariate regression, design of experiments, statistical quality control, quality management, reliability, maintainability, availability.
 
IE 5080. Topics in Industrial Engineering.
(4.0 cr; QP-Upper div or grad student; SP-Upper div or grad student)
Topics vary each semester.
 
IE 5111. Systems Engineering I.
(2.0 cr; prereq upper division or grad status)
This course provides a broad-brush overview of systems-level thinking and techniques in the context of an integrated, design-oriented framework. It focuses on the elements of the systems engineering process including lifecycle, concurrent, and global engineering. Students will exit this course with a framework for engineering large-scale, complex systems.
 
IE 5112. Introduction to Operations Research.
(3.0 cr; upper division or grad status in the non-IE track [MSISYE -- IE track students may not take this course for credit.], Linear algebra at the level of Math 2243 or Math 2373 and one semester of probability or statistics is required)
This course is a survey of Operations Research models and methods in deterministic and stochastic settings. Topics covered include linear programming, integer programming, networks, forecasting, Markov chains, and queuing systems. Examples from a variety of application areas, such as systems engineering, logistics, design, and project management, will be included.
 
IE 5113. Systems Engineering II.
(4.0 cr; prereq 5111, upper division or grad status, basic probability is required)
This course provides a more in-depth view of systems engineering thinking and techniques presented in Systems Engineering I course. Students will gain a hands-on understanding of techniques learned in Systems Engineering I, through application to specific problems. Additionally, the course will introduce topics pertinent to the effectiveness of the design process including design practices, organizational and reward structure required to support a collaborative, globally distributed design team.
 
IE 5441. Engineering Cost Accounting and Cost Control.
(4.0 cr; QP-IT upper div or grad student; A-F only)
Financial accounting, managerial accounting, engineering economics. Preparing financial statements, handling accounts payable and receivable, inventories, depreciation. Financing sources, capital cost and structure. Concepts of time value of money and risk used in managerial decision making. Design of cost accounting system and activity-based accounting.
 
IE 5511. Human Factors and Work Analysis.
(4.0 cr; QP-Upper div IT or grad student or public health major; SP-Upper div IT or grad student; A-F only)
Human factors engineering (ergonomics), methods engineering, and work measurement. Human-machine interface: displays, controls, instrument layout, and supervisory control. Anthropometry, work physiology and biomechanics. Work environmental factors: noise, illumination, toxicology. Methods engineering, including operations analysis, motion study, and time standards.
 
IE 5512. Applied Ergonomics.
(4.0 cr; QP-IEOR 5010 or IEOR 5070; SP-Upper div IT or grad student, 5511; A-F only)
Small groups of students work on practical ergonomic problems in local industrial firms. Projects cover a variety of ergonomic issues: workstation design, equipment and tool design, back injuries and material handling, cumulative trauma disorders, illumination and noise, and safety.
 
IE 5513. Engineering Safety.
(4.0 cr; QP-IT or grad student; SP-Upper div IT or grad student; A-F only)
Occupational, health, and product safety. Standards, laws, and regulations. Hazards and their engineering control, including general principles, tools and machines, mechanics and structures, electrical safety, materials handling, fire safety, and chemicals. Human behavior and safety, procedures and training, warnings and instructions.
 
IE 5522. Quality Engineering and Reliability.
(4.0 cr; QP-IT or grad student; SP-[4521 or equiv], [upper div or grad student or CNR])
Quality engineering/management, economics of quality, statistical process control design of experiments, reliability, maintainability, availability.
 
IE 5531. Engineering Optimization I.
(4.0 cr; QP-Math 1261, [IT or grad student]; SP-Upper div or grad student or CNR)
Linear programming, simplex method, duality theory, sensitivity analysis, interior point methods, integer programming, branch/bound/dynamic programming. Emphasizes applications in production/logistics, including resource allocation, transportation, facility location, networks/flows, scheduling, production planning.
 
IE 5541. Project Management.
(4.0 cr; QP-IT sr or grad student; SP-Upper div or grad student)
This course is intended to provide an introduction to engineering project management. Its objective is to expose students to analytical methods of selecting, organizing, budgeting, scheduling, and controlling projects, including risk management, team leadership, and program management.
 
IE 5545. Decision Analysis.
(4.0 cr; QP-IT sr or grad student; SP-4521 or #)
Normative theories of decision making. Emphasizes structuring of hard decision problems arising in business and public policy contexts. Decision trees, expected utility theory, screening prospects by dominance, assessment of subjective probability, multiple attribute utility, analytic hierarchy process, benchmarking with data envelopment analysis, basics of game theory.
 
IE 5551. Production Planning and Inventory Control.
(4.0 cr; QP-[IT or grad student], IEOR 5040, ME 3900; SP-Upper div or grad student or CNR)
Inventory control, supply chain management, demand forecasting, aggregate planning, capacity planning, material requirement planning, just-in-time manufacturing, cellular manufacturing, production scheduling, line balancing, shop floor control.
 
IE 5552. Design and Analysis of Manufacturing Systems.
(4.0 cr; QP-IT or grad student, IEOR 5010, IEOR 5020, IEOR 5030, IEOR 5040; SP-Upper div or grad student)
Flow lines, assembly systems, cellular manufacturing systems, and flexible manufacturing systems. Emphasis is on methodologies for modeling, analysis and optimization. Lead time analysis, capacity and workload allocation, scheduling and shop floor control, work-in-process management, facilities planning and layout, and information management.
 
IE 5553. Simulation.
(4.0 cr; upper division or graduate status; some familiarity with probability and statistics is desirable)
Discrete event simulation. Using integrated simulation/animation environments to create, analyze, and evaluate realistic models for use in various industry settings, including manufacturing and service operations and systems engineering. Experimental design for simulation. Selecting input distributions, evaluating simulation output.
 
IE 8333. FTE: Master's.
(1.0 cr; SP-Master's student, adviser and DGS consent)
(No description)
 
IE 8444. FTE: Doctoral.
(1.0 cr; SP-Doctoral student, adviser and DGS consent)
(No description)
 
IE 8531. Engineering Optimization II.
(4.0 cr; QP-5040)
Topics in integer programming and combinatorial optimization. Formulation of models, branch-and-bound. Cutting plane and branch-and-cut algorithms. Polyhedral combinatorics. Heuristic approaches. Introduction to computational complexity.
 
IE 8532. Stochastic Processes and Queuing Systems.
(4.0 cr; QP-5441; SP-4521 or equiv)
Introduction to stochastic modeling and processes. Random variables, discrete and continuous Markov chains, renewal processes, queuing systems, Brownian motion, and elements of reliability and stochastic simulation. Applications to design, planning, and control of manufacturing and production systems.
 
IE 8533. Advanced Stochastic Processes and Queuing Systems.
(4.0 cr; SP-8532 or #)
Renewal/regenerative processes, Markov/semi-Markov processes, martingales, queuing theory, queuing networks, computational methods, fluid models, Brownian motion.
 
IE 8534. Advanced Topics in Operations Research.
(4.0 cr; SP-5531)
Special topics to be determined by the instructor. Examples include Markov decision processes, stochastic programming, integer and combinatorial optimization, or queueing networks.
 
IE 8536. Advanced Topics in Engineering Management.
(4.0 cr; SP-#)
A wide range of topics in areas such as financial engineering, revenue management, management of health systems, service operations, management of technology, and public policy.
 
IE 8538. Advanced Topics in Information Systems.
(4.0 cr; SP-8541 or #. Any college-level computer programming course)
This course builds on the foundations of decision support taught in IE 8541 Decision Support Systems. Students will explore additional decision support methods using case studies of specific systems. The course will teach methods for testing usability and performance of systems. Phenomena such as trust (or lack there of) and over-reliance will be discussed along with their impact on system performance. System level issues, as well as general planning, design, and information analysis problem paradigms will also be presented in order to help students understand how to frame problems effectively. Techniques learned will be critical in helping students to combine engineering and 21rst century information technology.
 
IE 8541. Decision Support Systems.
(4.0 cr; SP- Any college-level computer programming course.)
Intelligent Decision Support Systems (DSSs) are an important class of computer tools which will become increasingly critical in helping businesses stay competitive in the 21st century. DSSs are intelligent computer tools assist people such as designers, process planners, and analysts in making decisions better or faster. DSSs come in many forms. They may automatically generate solution options to help speed problem solving, act as a critic to identify problems, or they help in evaluation. As we move into the next century engineering technologies will become more complex and competition fiercer, increasing the need for the DSSs in order to stay competitive.
 
IE 8552. Advanced Topics in Production, Inventory and Distribution Systems.
(4.0 cr; QP-5361; SP-5551, 5552)
This course will focus on cutting edge research issues in production, inventory and distribution systems. Topics will vary. Examples of such topics include stochastic models of manufacturing systems, stochastic inventory theory, multi-echelon inventory systems and supply chains, supplier-retailer and supplier-manufacturer coordination, supplier and warehouse networks, business logistics, and transportation.
 
IE 8560. Plan B Project Credits.
(1.0-6.0 cr)
(No description)
 
IE 8666. Doctoral Pre-Thesis Credits.
(1.0-18.0 cr; SP-Max 18 cr per semester or summer; doctoral student who has not passed prelim oral)
(No description)
 
IE 8773. Graduate Seminar.
(1.0 cr; S-N only)
Recent developments.
 
IE 8774. Graduate Seminar.
(1.0 cr; QP-8773; SP-8773; S-N only)
Recent developments.
 
IE 8777. Thesis Credits: Master's.
(1.0-18.0 cr; SP-Max 18 cr per semester or summer; 10 cr total required (Plan A only))
(No description)
 
IE 8794. Industrial Engineering Research.
(1.0-6.0 cr; SP-#)
Directed research.
 
IE 8888. Thesis Credits: Doctoral.
(1.0-24.0 cr; SP-Max 18 cr per semester or summer; 24 cr required)
(No description)
 
IE 8951. Plan B
(1.0 cr; SNV - S-N or Audit; Fall semester)
Structured environment in which students can complete M.S. Plan B project.
 
IE 8953. Plan B
(2.0 cr; AFV - A-F or Audit; Spring semester)
Structured environment in which students can complete M.S. Plan B project.
 
     
©2009 by Industrial Engineering and the Regents of the University of Minnesota.
Questions / Suggestions ...
Webmaster: (web@me.umn.edu)