Industrial and Systems Engineering Curriculum
Courses
3107 Mechanical Engineering Building, 1513 University Avenue, Madison, WI 53706; 608/263-3955; ie@engr.wisc.edu; www.engr.wisc.edu/ie
Professors Brennan (chair), Bier, Carayon, Ceglarek, Ferris, Fryback, Radwin, Robinson, Shi, Smith, Suri, Vanderheiden, Veeramani, Vernon, Zimmerman; Associate Professors Karsh, Weigmann; Assistant Professors Alagoz, Linderoth, Miller, ZhouThe first bachelor of science in industrial engineering at the University of Wisconsin-Madison was awarded in 1972. Since that time the demand for industrial engineers has grown dramatically for one chief reason: the need for organizations to raise their level of productivity through thoughtful, systematic applications.
Becoming an industrial engineer (IE) places one in an exciting field of engineering that focuses on productivity improvement worldwide. It is a field that deals as much with human aspects of work as with today's sophisticated tools of work.
What sets industrial engineering apart from other engineering disciplines is its broader scope. An IE deals with people as well as things. The industrial engineer applies problem-solving techniques in almost every kind of industry, business, or institution. There are IEs in banks, hospitals, government at all levels, transportation, construction, processing, social services, electronics, facilities design, manufacturing, and warehousing.
An IE looks at the "big picture" of what makes society perform best—the right combination of human resources, natural resources, and human-made structures and equipment. An IE bridges the gap between management and operations, dealing with and motivating people as well as determining what tools should be used and how they should be used. Industrial engineering is concerned with performance measures and standards, research of new products and product applications, ways to improve use of scarce resources, and many other problem-solving adventures.
Because industrial engineering serves a broad cross-section of business, industry and institutions, the IE's work environment varies from office to plant to field. Choices can be made even after the IE begins his or her career. Few other vocations offer a graduating student such a wide selection of places to work or kind of work to perform. Need for industrial engineers makes this profession particularly attractive from the financial standpoint. Beginning salaries rank in the top group of high-paying engineering disciplines, and fast advancement is not unusual.
In the industrial and systems engineering department at UW-Madison, the course curriculum is set up to provide a diversified background and at the same time allow choices according to individual interests. Specialized course work might be categorized in five main areas:
Although there is no sub-major within IE, it is possible to achieve a degree of specialization through a judicious choice of electives. Courses focusing on teams and design projects prepare students to succeed in the workplace.
The following sample curriculum applies to students admitted to the industrial engineering degree program in fall 2005 or later. Required courses are indicated. The Industrial Engineering Undergraduate Curriculum Guide (available in the department office or at www.engr.wisc.edu/ie/current/undergrad/) contains lists of courses that fulfill the requirements in the following categories: General Education Communication Elective, IE Technical Electives, Junior Design Elective, and Senior Design Elective. For Liberal Studies Electives refer to the College of Engineering Liberal Studies Guidelines, near the beginning of the Engineering section of this catalog. Engineering Science Electives are any courses at the 200 level and above which are not IE, EPD or Pro Or courses or crosslisted with IE, EPD or Pro Or is acceptable for Engineering Science credits with the exception of classes that teach principles other than engineering science principles, like business or leadership. While business and leadership courses are excellent and beneficial to your future, they are not approved as Engineering Science electives.
Math 221 Calculus and Analytic Geometry or Math 217 Calculus with Algebra and Trigonometry II or Math 275 Topics in Calculus I, 5 cr
Chemistry 109 Advanced General Chemistry, 5 cr
InterEngr 160, Introduction to Engineering, 3 cr (or an IE Technical Elective in a later semester)
General Education Communication Elective, 2-3 cr
Math 222 Calculus and Analytic Geometry or Math 276 Topics in Calculus II, 5 cr
Physics 201 General Physics, 5 cr
Economics 111 (or 101, 3 cr) Principles of Economics-Accelerated Treatment, 4 cr
Liberal Studies, 3 cr
Math 234 Calculus-Functions of Several Variables, 3 cr
Physics 202 General Physics, 5 cr
Stat 311 Introduction to Mathematical Statistics I, 4 cr
Computer Science Elective (Comp Sci 302 or 310), 3 cr
Stat 312 Introduction to Mathematical Statistics II, 4 cr
IE 313 Engineering Economic Analysis, 3 cr
IE 315 Production Planning and Control, 3 cr
IE 349 Introduction to Human Factors, 3 cr
Math Elective (Math 320 or 340), 3 cr
IE 323 Operations Research-Deterministic Modeling, 3 cr
Acct IS 300 (or100) Accounting Principles, 3 cr
Liberal Studies Elective, 3 cr
Math/Statistics Elective (Math 319, Stat 333 or Stat/ME 424), 3 cr
Engineering Science Elective, 3 cr
IE 320 Simulation and Probabilistic Modeling, 3 cr
IE 321 Simulation Modeling Laboratory, 1 cr
Junior Design Elective, 3 cr
EPD 397 Technical Communication, 3 cr
Engineering Science Elective, 3 cr
ISyE Technical Elective, 3 cr
IE 415 Intro to Manufacturing Systems, 3 cr
ISyE Technical Elective, 3 cr
ISyE Technical Elective, 3 cr
Liberal Studies Elective, 3 cr
Engineering Science Elective, 3 cr
Senior Design Elective, 3 cr
ISyE Technical Elective, 3 cr
ISyE Technical Elective, 3 cr
Liberal Studies Elective, 3 cr
1 Cooperative Education Program. I, II; 1 cr. Work experience which combines classroom theory with practical knowledge of operations to provide students with a background upon which to base a professional career in industry. P: So st.
191 The Practice of Industrial Engineering. II; 1 cr. An introduction to industrial engineering subject matter areas, problem types, and design/analysis approaches, techniques, and methodologies. Special emphasis on formulation and design alternatives for problem solving. Not open to students with advance standing in I.E. P: Open to Fr.
313 Engineering Economic Analysis. (Crosslisted with Acct I S) I, II; 3 cr. Financial accounting principles and cost systems, interpretation and use of accounting reports and supplemental information for engineering economic analyses, consideration of cost-volume-profit analyses, use of discounted cash flow techniques, flexible budgeting, transfer pricing, and capital budgeting. P: So st.
315 Production Planning and Control. II; 3 cr. Techniques and applications of control concepts in the design of inventory, production, quality, and project-planning systems; use of the computer as a component in such systems. P: Stat 311 & Comp Sci 110 or equiv.
320 Simulation and Probabilistic Modeling. I or II or SS; 3 cr. Analysis of stochastic systems using both analytic methods and computer simulation. Empirical and theoretical models of arrival and service processes. State spaces and state transition probabilities. Simulation of queuing and manufacturing systems. Continuous time Markov analysis of manufacturing systems. P: Stat 311 or equiv.
323 Operations Research-Deterministic Modeling. I; 3 cr (P-I). Basic techniques for modeling and optimizing deterministic systems with emphasis on linear programming. Computer solution of optimization problems. Applications to production, logistics, and service systems. P: IE 313, Math 222, and either Math 320 or 340.
349 Introduction to Human Factors. (Crosslisted with Psych) I, II; 3 cr (P-I). Design for people-machine interaction, including an introduction to the relevant underlying human sciences. Theory, data, and measurement problems in human information processing, anthropometry, training and industrial safety. Laboratories, discussions, and a design project. P: Intro probability or statistics.
389 Honors in Research. I, II, SS; 1-3 cr. Undergraduate honors research projects supervised by faculty members. Not available for graduate credit. P: Admission to Ie Undergraduate Honors in Research Program.
415 Introduction to Manufacturing Systems, Design and Analysis. I, II; 3 cr. Introduction to the technologies, processes and systems of modern discrete part manufacturing. Emphasis on development of an understanding of the behavior of integrated systems. P: Ind Engr 315, 320, 321; or cons inst.
417 Health Systems Engineering. I; 3 cr. Introduction to the application of industrial engineering methods to the analysis and improvement of health care delivery. Examination of social, regulatory and economic factors unique to health care. P: IE 313, 320, 323 & 349, or cons inst.
425 Introduction to Combinatorial Optimization. (Crosslisted with Comp Sci, Math) II; 3 cr (P-I). Exact and heuristic methods for key combinatorial optimization problems such as: shortest path, maximum flow problems, and the traveling salesman problem. Techniques include problem-specific methods and general approaches such as branch-and-bound, genetic algorithms, simulated annealing, and neural networks. P: Math 221 or Comp Sci 302 or cons inst.
449 Sociotechnical Systems in Industry. Irr.; 3 cr (I). The analysis of industrial jobs and organizations. Classical theories and techniques, such as scientific management and work measurement; recent developments such as quality of working life and sociotechnical systems analysis. Review of literature and field-site applications. P: Ind Engr 349 and Bus 530.
476 Industrial Engineering Projects. I, II; 3 cr. Complete design of an industrial engineering system in a real world setting, e.g., manufacturing, hospital, communications, food processing, distribution, transportation, etc. P: Ind Engr 320, 321, 349; EPD 397; or cons inst.
489 Honors in Research. I, II, SS; 1-3 cr. Undergraduate honors research projects supervised by faculty members. Not available for graduate credit. P: Admission to IE undergraduate Honors in Research Program.
510 Facilities Planning. (Crosslisted with ME) I; 3 cr. Introduction to plant location theory and analysis of models of plant location; models for determining plant size and time phasing; line balancing models; techniques for investigating conveyor and other material handling problems; and models of plant layout. P: IE 315, 323, 349 or cons inst.
512 Inspection, Quality Control and Reliability. (Crosslisted with ME) II; 3 cr. Inspection data for quality control; sampling plans for acceptance inspection; charts for process control. Introduction to reliability models and acceptance testing. P: Stat 224 or cons inst.
513 Analysis of Capital Investments. (Crosslisted with ME) I; 3 cr (P-A). A second course in quantitative methods for analyzing capital investments in technological environments, both public and private. Replacement models; comparison of alternative investment models; risk analysis; case studies. P: Ind Engr 313, Ind Engr 323, Stat 311.
515 Engineering Management of Continuous Process Improvement. I; 3 cr. This course addresses the role of the industrial engineer as a "manager" of continuous improvement in design and production processes. It provides modern tools and techniques for planning and managing team projects, integrating the concepts of total quality, data based decision making, and resource management. P: EPD 397 & Sr or Grad st, or cons inst.
516 Introduction to Decision Analysis. II; 3 cr. Overview of modeling techniques and methods used in decision analysis, including multiattribute utility models, decision trees, and Bayesian models. Psychological components of decision making are discussed. Elicitation techniques for model building are emphasized. Practical applications through real world model building are described and conducted. P: Stat 311 or Math 431 or cons inst.
520 Quality Assurance Systems. II; 3 cr. Introduces engineers to applications of total quality concepts and tools to develop, implement, and maintain an effective quality assurance system in a manufacturing or service organization. Emphasis is on documentation development, team-based improvement strategies, and international quality standards. P: Sr or Grad st, or cons inst.
525 Linear Programming Methods. (Crosslisted with Comp Sci, Math, Stat) I, II; 3 cr (N-A). Real linear algebra over polyhedral cones; theorems of the alternative for matrices. Formulation of linear programs. Duality theory and solvability. The simplex method and related methods for efficient computer solution. Perturbation and sensitivity analysis. Applications and extensions, such as game theory, linear economic models, and quadratic programming. P: Math 443 or 320 or 340 or cons inst.
549 Human Factors Engineering. (Crosslisted with Psych) Irr.; 3 cr (A). Analysis and design of man-machine systems using human performance models and data. Emphasis on systems involving communication and control. Projects using digital and analog computer simulation techniques for system design. P: IE 349 or equiv.
552 Human Factors Engineering Design and Evaluation. Irr.; 3 cr. Evaluation, analysis, and design recommendations for improving human performance and productivity in applied settings. Collection of instrument-based and user survey data. Emphasis on ergonomics, human factors and sociotechnical systems engineering approaches and problems. Design project required. P: Ind Engr 349 & EPD 397, or cons inst.
555 Human Performance and Accident Causation. Irr.; 3 cr (I). A systems view of accident causation, with emphasis on the human performance limitations important in industrial and other accidents. Models of causation, data collection systems, economic evaluation, and safety programs. Small group projects. P: IE 349 or Psych 225 or equiv & an intro stats crse or cons inst for Grad students.
556 Occupational Safety and Health Engineering. II; 3 cr. Introduction to the principles of safety and health hazards in the industrial environment. This course provides engineers with the fundamentals of measurement, evaluation, regulation, and control of hazardous conditions, toxic substances, physical agents, and dangerous processes in industrial operations. P: IE 349 or Grad st or cons inst.
558 Introduction to Computational Geometry. (Crosslisted with ME, Comp Sci) II; 3 cr (D). Introduction to fundamental geometric computations and algorithms, and their use for solving engineering and scientific problems. Computer representations of simple geometric objects and paradigms for algorithm design. Applications from areas of engineering analysis, design and manufacturing, biology, statistics, and other sciences. P: Comp Sci 367 or equiv, Math 223 or equiv, or cons inst.
559 Patient Safety and Error Reduction in Healthcare. (Crosslisted with Med Phys) II; 2 cr (I). Techniques for evaluating and reducing risks in medical procedures, including probabilistic risk assessment methods, failure mode and effects analysis, human factors analysis, and quality management. Discussions of patient safety standards, recommendations from agencies, and continual quality improvement. P: Jr st or cons inst.
564 Occupational Ergonomics and Biomechanics. (Crosslisted with BME) II; 3 cr. Introduces engineers how to design manufacturing and industrial operations in which people play a significant role, so that human capabilities are maximized, physical stress is minimized, and workload is optimized. Examples and topics emphasize industrial applications. P: Ind Engr 349, Grad st or cons inst.
565 Ergonomics in Service. I or II; 3 cr. Analysis, evaluation and design of workstations and workspaces in the service industry, in particular, computer workstations and other forms of information and communication technology. Ergonomic, sociotechnical and job design issues. Implementation and effectiveness of ergonomic interventions. P: Ind Engr 349 or cons inst.
574 Methods for Probabilistic Risk Analysis of Nuclear Power Plants. (Crosslisted with N E) Irr.; 3 cr. Methods for risk and reliability analysis of engineered systems, particularly as applied in the nuclear power industry. Fault trees and event trees, Bayesian data analysis, probabilistic risk management. Some familiarity with nuclear plant safety systems is helpful, but not required. P: Stat 311 or Math 431 or cons inst.
575 Introduction to Quality Engineering. I; 3 cr. Introduction to statistically based quality improvement methods useful in industrial settings; observational methods and design of experiments; experimentation to discover influential factors and to analyze sources of variation; robust products. There will be a one hour discussion section each week. P: One intro crse in statistical methods, or cons inst.
578 Facilities Location Models. (Crosslisted with OTM) II; 3 cr (I). The theory and methods of facility location. Plant and warehouse siting, plant layout problems and location of service facilities such as hospitals and fire stations. Cases of actual applications. P: OIM 410 or Ind Engr 323, or equiv.
605 Computer Integrated Manufacturing. I; 3 cr. An introduction to computer-integrated design and manufacturing with a focus on manufacturing process planning. Emphasis on concurrent engineering principles, manufacturing process engineering, computer-aided process planning, NC programming, and CAD/CAM integration. Course provides experience with CAD/CAM software and NC machines. P: Ind Engr 315 or cons inst.
610 Design of Program Evaluation Systems. II; 3 cr. Design of systems for evaluating the effectiveness (efficiency, benefits, costs, resource utilization, contribution) of socio-technical systems. Measurement, analysis and interpretation of results including implications for engineering research. Extensive case studies. P: Sr or Grad st in ind engr or cons inst.
612 Information Sensing and Analysis for Manufacturing Processes. I; 3 cr. Focuses on the sensing and multivariate data modeling and analysis techniques for monitoring, diagnosis, and quality improvement of manufacturing processes. The techniques introduced can find wide applications in health care, financial engineering, service industry applications, human factors, etc. P: Math 320 & Stat 311, Sr or Grad st, or cons inst.
616 Planning Large-Scale Complex Systems. II; 3 cr. Design of the planning system for any problem area in terms of planning strategies and goal determination, user and client involvement, group processes, forecasting, formats of plans, evaluation, financing planning efforts, priority setting, implementation, and information systems. Assessment of several real planning results. P: Ind Engr 466 & EPD 397, & beginning course in statistics, or cons inst.
617 Health Information Systems. (Crosslisted with LIS) 3 cr (D). Provides grounding in core concepts of health information systems. Major applications include clinical information systems, language and standards, decision support, image technology and digital libraries. Evaluation of IE tools and perspectives designed to improve the quality, efficiency and effectiveness of health information. P: Sr or Grad st, or cons inst.
620 Simulation Modeling and Analysis. (Crosslisted with OTM) II; 3 cr. Introduction to simulation modeling and analysis techniques with application to production, logistics, service, and other systems. Emphasis on model building, application of basic statistical data analysis, and the use of simulation for design, evaluation, and improvement of such systems. Introduction to available software. Case studies. P: Comp Sci 302 or equiv & Stat 312 or equiv.
623 Deterministic Modeling Techniques. I; 3 cr. Techniques for modeling and solving allocation and other deterministic optimization problems. Emphasizes why, how and when techniques can or cannot be applied, rather than their mathematical derivation. Case studies and/or examples from such areas as logistics, production, and service industries. P: IE 313, Math 234, & either Math 320 or 340.
624 Stochastic Modeling Techniques. I or II; 3 cr. Techniques for modeling systems in which uncertainty is an essential factor. Emphasizes why, how and when techniques can or cannot be applied, rather than their mathematical derivation. Case studies and/or examples from such areas as logistics, production, and service industries. P: IE 313, Stat 311, & either Math 320 or 340.
632 Introduction to Stochastic Processes. (Crosslisted with Math, Stat, OTM) I, II; 3 cr (N-A). Markov chains: classification, recurrence, transcience, limit theory. Renewal theory, Markov processes, birth-death processes. Applications to queueing, branching, and other models in science, engineering and business. Topics drawn from semi-Markov processes, martingales, Brownian motion. P: Math 431, or Stat 309 & 310, or Stat 311 & 312, or Stat 313 or 314.
633 Queuing Theory and Stochastic Modeling. (Crosslisted with Math, OTM) Irr.; 3 cr (N-A). Reliability theory; coherent systems and reliability bounds. Markovian queues and Jackson networks. Steady-state behavior of general service time queues. Priority queues. Approximation methods and algorithms for complex queues. Simulation. Dynamic programming; applications to inventory and queueing. P: Math, Ind Engr 632 or cons inst.
635 Tools and Environments for Optimization. (Crosslisted with Comp Sci) Irr.; 3 cr (P-I). Formulation and modeling of applications from computer sciences, operations research, business, science and engineering involving optimization and equilibrium models. Survey and appropriate usage of software tools for solving such problems, including modeling language use, automatic differentiation, subroutine libraries and web-based optimization tools and environments. P: Comp Sci 302, Math 340 or equiv.
641 Design and Analysis of Manufacturing Systems. (Crosslisted with ME) II; 3 cr. Covers a broad range of techniques and tools relevant to the design, analysis, development, implementation, operation and control of modern manufacturing systems. A significant portion of the coursework involves a group project with industry. This course also serves as the capstone course for the Msmse degree. P: Grads: MSE major or cons inst; Undergrads: IE 315 or 605, & cons inst.
643 Performance Analysis of Manufacturing Systems. (Crosslisted with ME) Irr.; 3 cr. This course examines the state of the art in the use of stochastic network theory to develop performance models of modern manufacturing systems. P: IE 324, 624 or Math 632; Comp Sci 302, 367 or equiv; IE 442 recommended; Grad st or cons inst.
650 Labor-Management Relations for Engineers. (Crosslisted with Ind Rel) I; 3 cr. Analysis of labor-management relations problems, policies, and procedures of concern to the engineering profession. P: Jr st in College of Engr.
652 Sociotechnical Systems. (Crosslisted with Psych) I; 3 cr (A). Sociotechnical systems theory with applications to the design of organizations and jobs. Open systems and organizational environments. Analysis of the technical and social systems and techniques for "whole" system consideration. Organizational design strategy. Field site analyses by student teams. P: Grad st or IE 349.
653 Organization and Job Design. (Crosslisted with Psych) I or II; 3 cr (A). Design of productive organizations and people's roles within them. Issues including boundary location, organizational decision levels, autonomous work groups, implementation and diffusion. Roles of the union. Case studies. P: Grad st or IE 349.
655 Advanced CAD/CAM. II; 3 cr. Focuses on the state-of-the-art in CAD/CAM methodologies and tools for manufacturing applications such as wire-EDM, casting, sheet metal fabrication, rapid prototyping, tool and die making, and cost estimation. P: A crse on manufacturing processes, IE 605 or equiv, & cons inst.
658 Managing Technological Change in Manufacturing Systems. I; 3 cr. Overview of computerized manufacturing technologies and their managerial implications: Manufacturing systems; Manufacturing planning and control; Integration aspects; Performance measures; Adoption considerations; Human aspects and implementation issues. P: Bus 753, IE 315, or cons inst. Stdts may not take both IE 658 & Bus 758 for cr.
662 Design and Human Disability and Aging. (Crosslisted with BME) II; 3 cr. Design of products for persons with physical, sensory or cognitive impairments is covered as well as the design of standard mass market products. Interdisciplinary teams explore specific disabilities, then design a standard mass market product in competition with each other. P: Jr st or cons inst.
663 Occupational Stress. II; 3 cr. This course examines the nature of occupational stress, what it is, how it is measured, its antecedents and its consequences, and its effects on human performance and health. P: IE 349, Bus 530, or cons inst.
671 E-Business: Technologies, Strategies and Applications. (Crosslisted with OTM) I; 3 cr. Overview of core concepts of e-commerce and e-business technologies, strategies and applications. Covers business-to-consumer, business-to-business and intra-business models by using real-world examples and cases from various industries. Significant portion of coursework involves interdisciplinary group project with industry. P: Sr or Grad st.
672 E-Business Transformation: Design, Analysis and Justification. (Crosslisted with OTM) II; 3 cr. Analytical and integrative approaches for e-business strategy formulation, analysis and justification and development of implementation roadmap. Emphasizes development of analytical reasoning and managerial thinking through creation of assessment tools and decision aids to guide various aspects of e-business transformation. P: Sr or Grad st or cons inst.
691 Special Topics in Industrial Engineering. I, II; 1-3 cr. In various areas. Sample topics: "Simulation" and "Systems Design". P: Jr st & cons inst.
692 Special Topics in Human Factors. Irr.; 3 cr. Various special topics in human factors engineering. Course topic may vary from semester to semester. Different versions of this course may be offered in same semester. P: Cons inst.
693 Special Topics in Quantitative Methods. Irr.; 3 cr (A). Various special topics in quantitative methods. Course topic may vary from semester to semester. Different versions of this course may be offered in same semester. P: Cons inst.
699 Advanced Independent Study. I, II, SS; 1-5 cr (A). Under faculty supervision. P: Cons inst.