100 Level

IE 100. Industrial Employment (0)
Usually following the junior year, students in the industrial engineering curriculum are required to do a minimum of eight weeks of practical work, preferably in the field they plan to follow after graduation. A report is required. Prerequisite: Sophomore standing.

IE 111. Engineering Probability and Statistics (3) fall and spring
Random variables, probability models and functions, and expected values. Statistical inference, estimation, hypothesis testing, and goodness of fit. Prerequisite: MATH 22.

IE 112. Computer Graphics (1) fall
Introduction to interactive graphics and construction of multi-view representations in two- and three-dimensional space. Applications in industrial engineering. Prerequisites: Sophomore standing in industrial engineering, ENGR 1.

IE 121. Applied Engineering Statistics (3) spring
The application of statistical techniques to solve industrial problems. Regression and correlation, analysis of variance, quality control, and reliability. Prerequisite: IE 111 or MATH 231.

IE 122. Software Tools (1) spring
Introduction to application software tools used to solve stochastic and deterministic problems. Problem design and solution will be drawn from IE 220. Co-requisite: IE 220.

IE 131 Work Systems and Operations Management(3) spring
Worker-machine systems, work flow, assembly lines, logistics and service operations, and project management. Operations analysis, methods engineering, work measurement, lean production, and six sigma. Workplace ergonomics, plant layout design, and work management. Prerequisite: IE 111 or equivalent, either previously or concurrently.

IE 132. Work Systems Laboratory (1) spring
Laboratory exercises and projects in methods analysis, operations analysis, plant layout, and related topics. Co-requisite: IE 131.

IE 154. Senior Project (3) fall and spring
The use of industrial engineering techniques to solve a major problem in either a manufacturing or service environment. Problems are sufficiently broad to require the design of a system. Human factors in system design. Laboratory. Prerequisite: Senior standing in industrial engineering.

IE 155. Senior Thesis I (3)
In depth study of a research topic in industrial engineering supervised by an ISE department faculty member. Requires completion of a formal research proposal and a public presentation of the proposal at the end of the semester. Prerequisite: Senior standing.

IE 156. Senior Thesis II (3)
Continued in depth study of a research topic in industrial engineering supervised by an ISE department faculty member. Requires a formal thesis and public presentation of the results. IE 156 can be substituted for IE 154 in the IE curriculum when taken in sequence after IE 155. Prerequisite: IE 155.

IE 168. Production Analysis (3) spring
A course for students not majoring in industrial engineering. Engineering economy; application of quantitative methods to facilities analysis and planning, operations planning and control, work measurement, and scheduling. Prerequisites: MATH 21 or 51.

IE 172. Algorithms in Systems Engineering (4) Spring
Use of computers to solve problems arising in systems engineering. Design and implementation of algorithms for systems modeling, systems design, systems analysis, and systems optimization. Computer systems, basic data structures, the design and implementation of efficient algorithms, and application of algorithms to the design and optimization of complex systems such as those arising in transportation, telecommunications, and manufacturing. Weekly laboratory with exercises and projects. Prerequisite: CSE 17 or CSE 18.

IE 185. ISELP Honors Seminar (1)
Study of problem solving, principles of enterprise systems, and creative use of information technology in controlled environments. Emphasis on teamwork, self-knowledge, and communication skills. Department permission required. May be repeated for credit.

For Advanced Undergraduates and Graduate Students.

200 Level

IE 215. Fundamentals of Modern Manufacturing (3) fall
Manufacturing processes and systems. Metal machining and forming, polymer shape processes, powder metallurgy, assembly and electronics manufacturing. Introduction to automation, numerical control and industrial robots. Prerequisite: MAT 33.

IE 216. Manufacturing Laboratory (1) fall
Laboratory exercises and experiments in manufacturing processes and systems. pre-requisite or concurrent: IE 215.

IE 220. Introduction to Operations Research (3) spring
Introduction to deterministic and stochastic methods in operations research. Mathematical programming, queuing theory, and other modeling techniques. Emphasis on formulation, analysis and solution of operations problems. Prerequisites: IE 111 or MATH 231 and MATH 205, Corequisite: IE 122.

IE 224. Information Systems Analysis and Design (3) spring
An introduction to the technological as well as methodological aspects of computer information systems. Content of the course stresses basic knowledge in database systems. Database design and evaluation, query languages and software implementation. Students that take CSE 241 cannot receive credit for this course.

IE 226. Engineering Economy and Decision Analysis (3) spring
Economic analysis of engineering projects; interest rate factors, methods of evaluation, depreciation, replacement, break-even analysis, after-tax analysis. Decision-making under certainty and risk. Prerequisite: IE 111 or MATH 231, either previously or concurrently.

IE 251. Production and Inventory Control (3) fall
Techniques used in the planning and control of production and inventory systems. Forecasting, inventory models, operations planning, and scheduling. Prerequisites: IE 121 and IE 220.

IE 275. Fundamentals of Web Applications (3)
Introduction to web technologies required to support the development of client side and server side components of Internet based applications. Students will be exposed to the problems of design, implementation, and management by way of assigned readings, class discussion, and project implementation. Term project. Prerequisites: either IE 224 or CSE 241 previously or concurrently.

IE 281. Leadership Project (1-3)
Application of leadership principles through team projects with industry. Written report required. (Prerequisite: IE 382 or permission of instructor).

300 Level

IE 305. Simulation (3)
Applications of discrete and continuous simulation techniques in modeling industrial systems. Simulation using a high-level simulation language. Design of simulation experiments. Prerequisites: IE 121.

IE 316. Optimization Models and Applications (3)
Modeling and analysis of operations research problems using techniques from mathematical programming. Linear programming, integer programming, multi-criteria optimization, stochastic programming, and nonlinear programming using an algebraic modeling language. Prerequisite: IE 220 or equivalent.

IE 319. Facilities Planning and Material Handling (3)
Facilities planning including plant layout design and facility location. Material handling analysis including transport systems, storage systems, utilizing equipment, and automatic identification and data capture. Prerequisite: IE 131 or consent of department chair.

IE 321. Independent Study in Industrial & Systems Engineering (1-3)
Experimental projects in selected fields of industrial engineering, approved by the instructor. A written report is required. May be repeated for academic credit. Department permission required.

IE 324. Industrial Automation and Robotics (3)
Introduction to robotics technology and applications. Robot anatomy, controls, sensors, programming, work cell design, part handling, welding, and assembly. Laboratory exercises. Prerequisites: MECH 2, MATH 205.

IE 328. Engineering Statistics (3)
Random variables, probability functions, expected values, statistical inference, hypothesis testing, regression and correlation, analysis of variance, introduction to design of experiments, and fundamentals of quality control. Prerequisite: MATH 23 or equivalent. This course cannot be taken by IE undergraduates.

IE 332. Product Quality (3)
Introduction to engineering methods for monitoring, control, and improvement of quality. Statistical models of quality measurements, statistical process control, acceptance sampling, and quality management principles. Some laboratory exercises. Prerequisite: IE 121.

IE 334. Organizational Planning and Control (3) fall
Design of organization and procedures for managing functions of industrial engineering. Analysis and design of resources planning and control, including introduction of change in man-machine systems; manpower management and wage administration. Prerequisite: Junior Standing.

IE 339. Stochastic Models and Applications (3)
Introduction to stochastic process modeling and analysis techniques and applications. Generalizations of the Poisson process; renewal theory and applications to inventory theory, queueing, and reliability; Brownian motion and stationary processes. Prerequisite: IE 220 or equivalent.

IE 340. Production Engineering (3) fall
Development of process plans for manufacturing of discrete parts. Emphasis on machining processes planning and design manufacturing interface. Economic analysis of process design alternatives. Concurrent engineering topics. Introduction to mechanization, automation and flexible manufacturing systems. Fundamentals of group technology and cellular manufacturing Term project. Laboratory. Prerequisite: IE 215.

IE 341. Data Communication Systems Analysis and Design (3)
An introduction to the hardware as well as performance evaluation of data communication networks. Emphasis on data transmission, encoding, data link control, communication networking techniques, and queuing/simulation analysis of network performance. Prerequisite: IE 224 and IE 220 or equivalent.

IE 344. (MAT 344/ME 344) Metal Machining Analysis (3) spring
Intensive study of metal cutting emphasizing forces, energy, temperature, tool materials, tool life, and surface integrity. Abrasive processes. Laboratory and project work. Prerequisite: IE 215 or ME 240 or Mat 206.

IE 345. Manufacturing Information Systems (3)
A study of contemporary Information Technology solutions used to support the manufacturing function from product concept and design through production planning, manufacture, and delivery. Emphasis will be placed on information exchange protocol standards used to improve the overall integration of manufacturing systems. Prerequisites: IE275.

IE 355. Optimization Algorithms and Software (3)
Basic concepts of large families of optimization algorithms for both continuous and discrete optimization problems. Pros and cons of the various algorithms when applied to specific types of problems; information needed; whether local or global optimality can be expected. Participants practice with corresponding software tools to gain hands-on experience. Credit will not be given for both IE 355 and IE 455. Prerequisite: IE 220 or consent of instructor.

IE 356. Introduction to Systems Engineering and Decision Analysis (3)
Systems Engineering modeling techniques. Architectures for large scale systems design. Includes physical, functional, and operational architectures. Requirements engineering, interface and integration issues, graphical modeling techniques. Additional topics may include: decision analysis techniques for systems, uncertainty analysis, utility functions, multiattribute utility functions and analysis, influence diagrams, risk preference, Analytical Hierarchy and Node Processes in decision making. Prerequisites: IE220 or consent of the instructor

IE 358. (ECO 358). Game Theory (3)
A mathematical analysis of how people interact in strategic situations. Applications include strategic pricing, negotiations, voting, contracts and economic incentives, and environmental issues. Prerequisites: ECO 105 or 115 and MATH 21, 31 or 51.

IE 362. (MSE 362). Logistics and Supply Chain Management (3)
Modeling and analysis of supply chain design, operations, and management. Analytical framework for logistics and supply chains, demand and supply planning, inventory control and warehouse management, transportation, logistics network design, supply chain coordination, and financial factors. Students complete case studies and a comprehensive final project. Prerequisite: IE 220 and IE 251 or equivalents, or instructor approval.

IE 372. Systems Engineering Design (3)
Analysis, design, and implementation of solutions to problems in manufacturing and service sectors using information technology. Emphasis on problem identification and the evaluation of proposed solutions and implementations. Term Project. Prerequisites: IE 220, 275.

IE 382. Leadership Development (3) Spring
Exploration and critical analysis of theories, principles, and processes of effective leadership. Managing diverse teams, communication, and ethics associated with leadership. Application of knowledge to personal and professional life through projects and team assignments. (Junior or Senior)

IE 385. ISELP Honors Project Seminar (1)
Application of problem solving to real enterprise systems projects. Emphasis on leadership, teamwork, design, and communication skills. Requires a written honors project report. Department permission required. Senior standing. May be repeated for credit.

400 Level

IE 404. Simulation (3)
Applications of discrete and continuous simulation techniques in modeling industrial systems. Simulation using a high-level simulation language. Design of simulation experiments. This course is a version of IE 305 for graduate students, with research projects and advanced assignments. Prerequisites: IE 121 or IE 328 and IE 220 or equivalent.

IE 405. Special Topics in Industrial Engineering (3)
An intensive study of some field of industrial engineering.

IE 406. Introduction to Mathematical Optimization (3)
Algorithms and techniques for the solution and analysis of deterministic linear optimization models used in operations research. Linear and integer linear optimization problems. Modeling techniques and fundamental algorithms and their complexity properties. Available open source and commercial solvers discussed.

IE 408. Management of Information Systems (3)
Philosophies and methods for systematic planning, development, and implementation of management information systems. Concepts of information resource management, and strategic and long-range planning of information systems and services. Prerequisite: IE 224 or ACCT 311 or equivalent.

IE 409. Time Series Analysis (3)
Theory and applications of an approach to process modeling, analysis, prediction, and control based on an ordered sequence of observed data. Single or multiple time series are used to obtain scalar or vector difference/differential equations describing a variety of physical and economic systems. Prerequisite: IE 121 or equivalent.

IE 410. Design of Experiments (3)
Experimental procedures for sorting out important causal variables, finding optimum conditions, continuously improving processes, and trouble shooting. Applications to laboratory, pilot plant and factory. Prerequisite: Some statistical background and experimentation in prospect, IE 121 or equivalent.

IE 411. Networks and Graphs (3)
This course examines the theory and applications of networks and graphs. Content of the course stresses on the modeling, analysis and computational issues of network and graph algorithms. Complexity theory, trees and arborescences, path algorithms, network flows, matching and assignment, primal-dual algorithms, Eulerian and Hamiltonian walks and various applications of network models. Prerequisite: IE 406 or equivalent.

IE 412. Quantitative Models of Supply Chain Management (3)
Analytical models for logistics and supply chain coordination. Modeling, analysis, and computational issues of production, transportation, and other planning and decision models. Logistics network configuration, risk pooling, stochastic decision-making, information propagation, supply chain contracting, and electronic commerce implication. Prerequisite: IE 316 and IE 339 or equivalent.

IE 413. Advanced Engineering Economy and Replacement Analysis (3)
Measuring economic worth, economic optimization under constraints, analysis of economic risk and uncertainty. Emphasis on analytical methods to evaluate the economic desirability of replacement and retirement options in capital investment. Prerequisites: IE 220 and IE 226 or equivalents.

IE 414. Heuristic Methods in Combinatorial Optimization (3)
Heuristic methods for solving combinatorial and discrete optimization problems such as routing, scheduling, partitioning and layout. Introduction to NP-completeness theory, exact and inexact methods, performance analysis, fast and greedy heuristics, Lagrangean heuristics, and various search techniques including simulated annealing, genetic algorithms, Tabu search and iterative constructive heuristics.

IE 416. Dynamic Programming (3)
The principle of optimality and recursive solution structure; multidimensional problems; reduction of dimensionality and approximation; stochastic control; non-serial systems; relationship to calculus of variation; applications. Prerequisite: IE 316 or equivalent.

IE 417. Nonlinear Programming (3)
Advanced topics in mathematical programming with emphasis on modeling and analysis of non-linear optimization problems. Convex analysis, unconstrained and constrained optimization, duality theory, Lagrangian relaxation, and methods for solving non-linear programs, including descent methods, Newton methods, conjugate gradient methods, and penalty and barrier methods. Prerequisite: IE 406 or equivalent.

IE 418. Integer Programming (3)
Advanced topics in mathematical programming with emphasis on modeling and analysis of optimization problems with integer variables. Polyhedral theory, theory of valid inequalities, duality and relaxation, computational complexity, and methods for solving integer programs, such as branch and bound. Prerequisite: IE 406 or equivalent.

IE 419. Planning and Scheduling in Manufacturing and Services (3)
Models for the planning and scheduling of systems that produce goods or services. Resource allocation techniques utilizing static and dynamic scheduling methods and algorithms. Application areas include manufacturing and assembly systems, transportation system timetabling, project management, supply chains, and workforce scheduling.

IE 422. Measurement and Inspection Systems (3)
Study of measurement instruments and sensors for manufactured products. Metrology standards, performance characteristics of measuring devices, calibration, error analysis, and gaging. Mechanical, optical, and other techniques. On-line monitoring and control for product quality, and sensor integration and fusion. Prerequisite: IE 328 or equivalent.

IE 424. Robotic Systems and Applications (3)
Detailed analysis for robotic systems in manufacturing and service industries. Task planning and decomposition, motion trajectory analysis, conveyor tracking, error detection and recovery, end effector design, and systems integration. Prerequisite: IE 324 or consent of instructor.

IE 425. Advanced Inventory Theory (3)
Advanced analytical, algorithmic, and heuristic methods for optimizing and managing inventory systems. Economic order quantity model and extensions; power-of-two policies; base-stock and other policies for stochastic systems; the Clark-Scarf model; assembly and distribution systems; proofs of policy optimality. Prerequisites: IE 316 and IE 339, or equivalent.

IE 426. Optimization Models and Applications (3) (graduate version of IE 316)
Modeling and analysis of operations research problems using techniques form mathematical programming. Linear programming, integer programming, multi-criteria optimization, stochastic programming and nonlinear programming using an algebraic modeling language. This course is a version of IE 316 for graduate students, with research projects and advanced assignments. Closed to students who have taken IE 316. Prerequisite: IE 220 or equivalent background.

IE 429. Stochastic Models and Applications (3)
Introduction to stochastic process modeling and analysis techniques and applications. Generalization of the Poisson process; renewal theory, queueing, and reliability; Brownian motion and stationary processes. This course is a version of IE 39 for graduate students, with research projects and advanced assignments. Closed to students who have taken IE 339. Prerequisite: IE 220 or equivalent background.

IE 430. Management Science Project (3)
Analysis of a management problem and design of its solution incorporating management science techniques. An individual written report is required. Recommended to be taken in the last semester of the program.

IE 431. Operations Research Special Topics (3)
Extensive study of selected topics in techniques and models of operations research.

IE 433. Manufacturing Engineering Special Topics (3)
Extensive study of selected topics in the research and development of manufacturing engineering techniques.

IE 437. Advanced Database Analysis and Design (3)
Intensive treatment of design and application of modern database technology, including information modeling and logical design of databases. Emphasis on applications to the manufacturing environment. Prerequisite: IE 310 or equivalent.

IE 438. Advanced Data Communication Systems Analysis and Design (3)
Study of technological development, operational algorithms and performance analysis in data networks. Emphasis on recent developments in communication technologies, modeling and simulation of large-scale networks, routing models and algorithms, and flow control issues. Prerequisite: IE 341 and IE 316, or equivalents.

IE 439. Queueing Systems (3)
Queueing theory and analysis of manufacturing, distribution, telecommunications, and other systems subject to congestion. Design and analysis of queueing networks; approximation methods such as mean value analysis, uniformization, fluid and diffusion interpretations; numerical solution approaches. Prerequisite: IE 339 or instructor permission.

IE 441. Financial Engineering Projects (3)
Analysis, design and implementation of solutions to problems in financial services using information technology, mathematical modeling, and other financial engineering techniques. Emphasis on real-world problem solving, problem definition, implementation and solution evaluation.

IE 442. Manufacturing Management (3)
Study of factors affecting the development of a manufacturing management philosophy; decision-making process in areas of organization, planning, and control of manufacturing. The principles and techniques of TQM, Deming and others; metrics, costs, benchmarking, quality circles, and continuous improvement. Influence of the social, technical, and economic environment upon manufacturing management decisions. Case studies.

IE 443. (MSE 427) Automation and Production Systems (3)
Principles and analysis of manual and automated production systems for discrete parts and products. Cellular manufacturing, flexible manufacturing systems, transfer lines, manual and automated assembly systems, and quality control systems. Prerequisite: IE 215 or equivalent.

IE 445. Assembly Processes and Systems (3)
Joining processes including welding, brazing, soldering, and adhesive bonding. Mechanical assembly methods. Manual assembly lines and line balancing. Automated assembly. Product design considerations including Design for Assembly. Prerequisite: IE 215 or equivalent.

IE 446. Discrete Event Dynamic Systems (3)
Modeling of Discrete Event Dynamic systems (DEDS) particularly as applied to industrial systems. Modeling procedures with focus on Petri Nets. Hierarchical Petri Net modeling, performance analysis, behavioral and structural properties, and various synthesis and analytical techniques. Relationships to state space concepts, simulation, and finite state automata are introduced. Emphasis on use of such nets for the control of industrial systems. Prerequisites: Permission of instructor.

IE 447. Financial Optimization (3)
Making optimal financial decisions under uncertainty. Financial topics include asset/liability management, option pricing and hedging, risk management, and portfolio optimization. Optimization techniques covered include linear and nonlinear programming, integer programming, dynamic programming, and stochastic programming. Emphasis on use of modeling languages and solvers in financial applications. Requires basic knowledge of linear programming and probability. Prerequisite: IE 426 or equivalent.

IE 448. Industrial Control Systems for Manufacturing (3)
Techniques used to control manufacturing systems: numerical control, digital control, programmable logic controllers, and sensors.

IE 449. Advanced Computer-Aided Manufacturing (3)
Numerical control in manufacturing; CAD/CAM systems; computer monitoring and control of manufacturing operations; adaptive control of manufacturing operations. Manufacturing resource planning, computer-aided process planning, and shop floor control. Prerequisite: IE 342 or consent of instructor.

IE 451. Intelligent Manufacturing Systems (3)
Informational and control structures, architectures, and analysis techniques for autonomous and semi-autonomous manufacturing systems. System architectures and techniques, knowledge based systems in production, and techniques based on fuzzy systems and neural networks. Applications in manufacturing systems control, process planning, and design and management problems in newly developing manufacturing and production systems. Prerequisite: Permission of instructor.

IE 458 (ECO 463). Topics in Game Theory (3) (Cross listed course)
A mathematical analysis of how people interact in strategic situations. Topics include normal-form and extensive-form representations of games, various types of equilibrium requirements, the existence and characterization of equilibria, and mechanism design. The analysis is applied to microeconomic problems including industrial organization, international trade, and finance. Prerequisites: Two semesters of calculus, ECO 412 and ECO 414, or permission of the instructor.

IE 460. Engineering Project (1-3)
Intensive study of an area of industrial engineering with emphasis upon design and application. A written report is required.

IE 461. Readings (1-3)
Intensive study of some area of industrial engineering that is not covered in general courses.

IE 470. Introduction to Healthcare Systems (3)
The state of Healthcare from economic, systems, quality, and historical perspectives. Components of the Healthcare system including, facilities, delivery and treatment systems, and personnel. System costs, reimbursement methods and financial aspects in Healthcare. Healthcare policy, laws and ethics. System performance measures including access, cost effectiveness and quality of care.

IE 471. Quality and Process Improvement in Healthcare (3)
The dimensions of Healthcare quality and their definitions, quality metrics, accreditation and other benchmarking and evaluation methods. Change management, project planning and team management. Continuous improvement tools including “lean”, “six-sigma”, and “TQM”.

IE 472. Financial Management in Healthcare (3)
Engineering economics in Healthcare; value metrics (net present value, return on investment, etc.), cost-benefit analysis, capital projects and improvements. Accounting methods in Healthcare systems. Reimbursement methods, organizations, and alternatives. Financial strategy, planning, pricing and capital formation in “for”, and “not for” profit settings.

IE 473. Information Technology in Healthcare (3)
Introduction to information systems in Healthcare. Components of the system; electronic medical records, patient monitoring and data collection (clinical information systems), ancillaries (lab, pharmacy, radiology), imaging and digital technology, financial, inventory and management information systems. Enterprise systems in Healthcare, IT driven cost, efficiency and treatment quality metrics. Data warehousing, sharing, mining, protection and privacy issues.

IE 474. Healthcare Systems Engineering Capstone Project (3)
A three credit hour “capstone” project to be completed in collaboration with industry partners and under the supervision of faculty. Students will work in small groups on projects in the Healthcare industry. The Professor of Practice is the general advisor for the capstone project course.

IE 475. Healthcare Systems Project (1-3)
Intensive study of an area of healthcare systems engineering with emphasis upon design and application. Written report is required.

IE 490. Thesis (1-6)

IE 499. Dissertation (1-15)

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