Industrial and Manufacturing Engineering (IE)
IE 112, SPREADSHEET SKILLS FOR INDUSTRIAL & MANUFACTURING ENGINEERS, 1 Credit
Basic spreadsheet functionality needed to create spreadsheet applications for common industrial and manufacturing engineering information processing tasks, including simple databases, statistical analysis, quality control, forecasting, production planning and control, and operations analysis and improvement. Topics include creating spreadsheets, formatting, data types, formulas, charts, user-defined functions, and pivot tables.
IE 199, SPECIAL TOPICS, 1-16 Credits
This course is repeatable for 16 credits.
IE 212, COMPUTATIONAL METHODS FOR INDUSTRIAL ENGINEERING, 4 Credits
Solve engineering problems using computational methods with topics covered including data structures, modular programming, sorting and search algorithms. Investigate algorithms for inventory models, production scheduling, production line analysis, and optimization.
Prerequisite: ENGR 103 with C or better or ENGR 103H with C or better
Recommended: Algebra, calculus, differentiation and integration
IE 255, INTRODUCTORY QUANTITATIVE ANALYSIS OF INDUSTRIAL AND MANUFACTURING SYSTEMS, 4 Credits
Apply basic probability and statistics concepts that will be used in subsequent industrial and manufacturing engineering courses to engineering problems. Emphasis will be placed on fundamental concepts including random variables, probability distributions, using random variables as models of random phenomena, statistics computed from data, sampling distributions, and basic statistical inference procedures.
Prerequisite: MTH 252 with C or better or MTH 252H with C or better and IE 212 [C]
IE 285, INTRODUCTION TO INDUSTRIAL AND MANUFACTURING ENGINEERING, 3 Credits
Introduction to selected topics in industrial and manufacturing engineering, including history and philosophy, product design and manufacturing cycle, integrate role of engineering and business, and multi-objective nature of organizations. Surveys of selected design problems in resource allocation, operations and quality management, and production engineering. CROSSLISTED as IE 285/MFGE 285.
Prerequisite: IE 112 (may be taken concurrently) with C or better or FOR 112 (may be taken concurrently) with C or better
Equivalent to: MFGE 285
IE 299, SPECIAL TOPICS, 1-16 Credits
This course is repeatable for 16 credits.
IE 355, QUANTITATIVE METHODS FOR SYSTEM ANALYSIS AND IMPROVEMENT, 4 Credits
Analyze and improve operational systems through the application of statistical inference methods and basic empirical model development. Hypothesis testing, confidence intervals, tolerance interval, bootstrap confidence intervals, and basic linear regression are applied to industrial engineering applications.
Prerequisite: IE 255 with C or better or (ST 314 with C or better and ME 203 [C])
IE 356, QUANTITATIVE METHODS FOR SYSTEM MODELING AND EXPERIMENTATION, 4 Credits
Analyze and improve processes through the systematic use of statistical quality control methods, and designed experiments. Introduction to machine learning and big data methods.
Prerequisite: IE 355 with C or better
IE 366, WORK SYSTEMS ENGINEERING, 4 Credits
Principles and techniques of work measurement, methods engineering, workplace design, work sampling, and predetermined time systems. Basic human factors engineering and ergonomics principles applied to workplace design. The work systems engineering process.
Prerequisite: (IE 255 with C or better or ST 314 with C or better) and (PH 212 [C] or PH 212H [C]) and (PH 213 [C] or PH 213H [C])
IE 367, PRODUCTION PLANNING AND CONTROL, 4 Credits
Forecasting techniques, inventory analysis, master production scheduling, material and capacity requirements, planning and scheduling methods.
Prerequisite: IE 255 with C or better or ST 314 with C or better
IE 368, FACILITY DESIGN AND OPERATIONS MANAGEMENT, 4 Credits
Design and analysis of industrial facilities including just-in-time systems, queuing, material handling systems, material flow analysis, line balancing, systematic layout planning, design of warehouse facilities, and facilities location.
Prerequisite: ENGR 248 with C or better and (IE 255 [C] or ST 314 [C])
Equivalent to: IE 365
IE 380, *THE RESPONSIBLE ENGINEER, 3 Credits
The idea of responsibility and the ethical responsibilities of the engineer. Introduction to value, ethics, and ethical systems. Engineering as value creation and the ethical ramifications of engineering. Codes of engineering ethics. Recognizing and addressing ethical dilemmas in engineering. Examination of the individual, social, and environmental effects of engineering and technology. (Baccalaureate Core Course)
Attributes: CSST – Bacc Core, Synthesis, Science/Technology/Society
IE 399, SPECIAL TOPICS, 1-16 Credits
This course is repeatable for 16 credits.
IE 403, THESIS, 1-16 Credits
This course is repeatable for 16 credits.
IE 405, READING AND CONFERENCE, 1-16 Credits
This course is repeatable for 16 credits.
IE 406, PROJECTS, 1-16 Credits
This course is repeatable for 16 credits.
IE 407, SEMINAR, 1-16 Credits
This course is repeatable for 16 credits.
IE 410, INTERNSHIP, 1-16 Credits
This course is repeatable for 16 credits.
IE 412, INFORMATION SYSTEMS ENGINEERING, 4 Credits
Framework for enterprise information systems. Engineering and scientific systems. Requirements definition, enhanced entity relationship modeling, logical modeling, structured query language, relational model, referential integrity.
Prerequisite: IE 212 with C or better
IE 415, SIMULATION AND DECISION SUPPORT SYSTEMS, 4 Credits
Examines the analysis of operations and production systems through the application of computer simulation modeling techniques. Explores the fundamentals of computer simulation including static Monte Carlo simulations, event oriented dynamic simulations, random number generation, input/output data analysis, model validation and verification.
Prerequisite: (IE 112 with C or better or IE 212 with C or better) and (IE 255 [C] or ST 314 [C]) and IE 355 [C]
IE 425, INDUSTRIAL SYSTEMS OPTIMIZATION, 4 Credits
A first course in operations research. Topics include mathematical programming formulations and solutions, the simplex method, network optimization, introduction to metaheuristics, and linear programming under uncertainty.
Prerequisite: (IE 255 with C or better or ST 314 with C or better) and (MTH 306 [C] or MTH 306H [C] or MTH 341 [C])
IE 426, STOCHASTIC MODELS OF INDUSTRIAL SYSTEMS, 4 Credits
The application of probabilistic and stochastic modeling methodologies to analyze the performance of production and service systems. Major topics include probability models for space planning, Poisson arrival processes, discrete and continuous time Markov chain models of machine cycle times, and queuing models applied to various industrial systems. Other applications of these tools to model inventories, process behavior, and equipment reliability is illustrated.
Prerequisite: (IE 255 with C or better or ST 314 with C or better) and IE 425 [C]
IE 427, GAME THEORY WITH ENGINEERING APPLICATIONS, 4 Credits
Introduces the fundamentals of noncooperative game theory in the context of engineering systems (e.g., health systems, multi-agent systems, cyber-physical systems, and social networks). Emphasizes theoretical foundations, mathematical modeling, and key solution concepts. Examines the analysis of repeated games, myopic learning, fictitious play, and evolutionary games.
Prerequisite: IE 425 with C or better and IE 426 (may be taken concurrently) [C]
IE 470, MANAGEMENT SYSTEMS ENGINEERING, 4 Credits
Improvement of organizational performance through the design and implementation of systems that integrate personnel, technological, environmental, and organizational variables. Topics include performance assessment and measurement as well as improvement methodologies.
Prerequisite: ENGR 390 with C or better and IE 355 [C] and IE 366 [C] and IE 367 [C] and IE 368 [C]
IE 471, PROJECT MANAGEMENT IN ENGINEERING, 3 Credits
Critical issues in the management of engineering and high-technology projects are discussed. Time, cost, and performance parameters are analyzed from the organizational, people, and resource perspectives. Network optimization and simulation concepts are introduced. Resource-constrained project scheduling case discussions and a term project are included.
Prerequisite: ENGR 390 with C or better and IE 355 [C] and IE 366 [C] and IE 367 [C] and IE 368 [C]
IE 475, ADVANCED MANUFACTURING COSTING TECHNIQUES, 3 Credits
Costing techniques applicable in advanced manufacturing enterprises: activity-based costing, economic value added, Japanese cost management techniques, life cycle costing, throughput accounting, cost of quality, and financial versus operational performance measures. Emphasis on linkages to such advanced manufacturing systems as cellular manufacturing, flexible manufacturing, JIT, Lean, and ERP.
Prerequisite: ENGR 390 with C or better and IE 355 [C] and IE 366 [C] and IE 367 [C] and IE 368 [C]
Equivalent to: IE 495
IE 499, SPECIAL TOPICS, 1-5 Credits
Recent advances in industrial engineering pertaining to the theory and application of system studies. Analysis and design of natural resource systems; evaluation; detection extraction; processing and marketing systems; advanced design of production systems with reference to social, economic, and regional planning; human engineering studies of man-machine systems; applications of operations research techniques. Nonsequence course. Not offered every term.
This course is repeatable for 99 credits.
IE 503, THESIS, 1-16 Credits
This course is repeatable for 999 credits.
IE 505, READING AND CONFERENCE, 1-16 Credits
This course is repeatable for 16 credits.
Available via Ecampus
IE 506, PROJECTS, 1-16 Credits
This course is repeatable for 16 credits.
IE 507, SEMINAR, 1-16 Credits
This course is repeatable for 16 credits.
IE 512, INFORMATION SYSTEMS ENGINEERING, 4 Credits
Framework for enterprise information systems. Engineering and scientific systems. Requirements definition, enhanced entity relationship modeling, logical modeling, structured query language, relational model, referential integrity.
IE 515, SIMULATION AND DECISION SUPPORT SYSTEMS, 4 Credits
Examines the analysis of operations and production systems through the application of computer simulation modeling techniques. Explores the fundamentals of computer simulation including static Monte Carlo simulations, event oriented dynamic simulations, random number generation, input/output data analysis, model validation and verification.
Recommended: ST 314
IE 521, INDUSTRIAL SYSTEMS OPTIMIZATION I, 3 Credits
Techniques for analysis and solution of problems in industrial and management systems. Emphasis on application of linear and integer programming and extensions.
Recommended: MTH 341
IE 522, INDUSTRIAL SYSTEMS OPTIMIZATION II, 3 Credits
Techniques for analysis and solution of problems in industrial and management systems. Emphasis on applications of dynamic programming. Markovian processes, and questions as applied to industrial problems.
Recommended: ST 314
IE 523, INTEGER PROGRAMMING, 3 Credits
Classic models and algorithms for discrete optimization. Includes intuition and theory about computational strategies for solution of integer programming and combinatorial optimization problems.
Prerequisite: IE 521 with C or better
IE 527, GAME THEORY WITH ENGINEERING APPLICATIONS, 4 Credits
Introduces the fundamentals of noncooperative game theory in the context of engineering systems (e.g., health systems, multi-agent systems, cyber-physical systems, and social networks). Emphasizes theoretical foundations, mathematical modeling, and key solution concepts. Examines the analysis of repeated games, myopic learning, fictitious play, and evolutionary games.
Prerequisite: IE 521 with C or better
Recommended: IE 522
IE 533, HUMAN ANALYTICS AND BEHAVIORAL OPERATIONS, 3 Credits
Introduces several quantitative applications related to determining workforce size, skill-sets, and multi-functionality in service and manufacturing systems based on measurable quality and productivity performance, at the intersection of human factors engineering and production planning. Modeling and solving problems in a context of the speed and accuracy trade-off. Models include learning, forgetting, teamwork, fatigue, procrastination, and individual difference measures.
Recommended: Introductory math programming
IE 542, DESIGN OF HUMAN FACTORS / ERGONOMICS EXPERIMENTS, 4 Credits
Designed to provide graduate students with introductions to a broad range of methods appropriate for studying humans, tasks, environments and their interaction along with various topics in the area of Human Factors/Ergonomics. Reading/discussion format.
Recommended: Graduate level statistics course
IE 545, HUMAN FACTORS ENGINEERING, 4 Credits
Analysis and design of work systems considering human characteristics, capabilities and limitations. Analysis and design of displays, controls, tools, and workstations. Human performance analysis. Human factors research methods.
Equivalent to: IE 541
IE 552, DESIGN OF INDUSTRIAL EXPERIMENTS, 3 Credits
A first course in design of experiments with an emphasis on applications and fundamental data analysis methods. Basic statistical inference, analysis of variance, blocking, general factorial designs, and two-level factorial designs are covered.
Recommended: ST 314
IE 563, ADVANCED PRODUCTION PLANNING AND CONTROL, 3 Credits
Application of quantitative and heuristic methods to problems of production, material, and capacity planning. Mathematical models for inventory systems, sequencing, and scheduling. Assembly line balancing methods. Just-in-time manufacturing.
IE 570, MANAGEMENT SYSTEMS ENGINEERING, 4 Credits
Improvement of organizational performance through the design and implementation of systems that integrate personnel, technological, environmental, and organizational variables. Topics include performance assessment and measurement as well as improvement methodologies.
IE 571, PROJECT MANAGEMENT IN ENGINEERING, 3 Credits
Critical issues in the management of engineering and high-technology projects are discussed. Time, cost, and performance parameters are analyzed from the organizational, people, and resource perspectives. Network optimization and simulation concepts are introduced. Resource-constrained project scheduling case discussions and a term project are included.
Available via Ecampus
IE 575, SYSTEMS THINKING THEORY AND PRACTICE, 4 Credits
Examines the relationship between systems thinking theory and practice. Explores how systems science is used to discover key systemic concepts and principles. Explores systems thinking practice through an overview of Critical Systems Thinking and selected applied systems thinking approaches.
IE 581, OPERATIONS MANAGEMENT, 4 Credits
Critical and current issues on the implementation of operations management strategies for the engineering manager. Includes aspects of operations in an engineering management environment such as work systems design, forecasting, strategy, facilities location and design, management of quality and resources planning and management.
Prerequisite: IE 582 with B or better
Recommended: IE 571
Available via Ecampus
IE 582, INTRODUCTION TO MANAGEMENT FOR ENGINEERS AND SCIENTISTS, 4 Credits
Introduces concepts, tools, and practices necessary for a broad understanding of the roles of engineering and technical managers. Uses a mix of research results, case studies, and experiential learning to bolster theories of management, with focus on technical organizations.
Available via Ecampus
IE 583, ADVANCED ENGINEERING ECONOMICS ANALYSIS, 4 Credits
Examines the economics dimension of engineering management, from costing techniques to financial analysis. Topics include industrial cost analysis and estimation, economic planning, forecasting, and budgeting, and financial analysis for engineering and engineering management.
Prerequisite: IE 582 with B or better
Recommended: Basic courses in engineering economic analysis (ENGR 390)
Available via Ecampus
IE 584, SYSTEMS ENGINEERING, 4 Credits
An overview of systems engineering within engineering management practice. Principles of systems engineering are explored through traditional and contemporary hard and soft systems of engineering techniques and practices, and through current future developments in the field.
Prerequisite: IE 582 with B- or better
Recommended: IE 581 and IE 583 and IE 586 and IE 587
Available via Ecampus
IE 585, LEGAL ASPECT OF ENGINEERING MANAGEMENT, 3 Credits
A survey of legal topics relevant to engineers, including basic of legal system, labor law, intellectual property, torts, and contracts. This is an introductory course, emphasizes on legal principles that can provide engineers with the ability to recognize legal issues that are likely to arise in the engineering profession and engineering management. Note: This is an introductory class and will in no way make a student a lawyer. Students are advised to seek legal representation if he/she encounters a legal issue.
Prerequisite: IE 582 with B or better
Recommended: IE 581 and IE 583 and (IE 586 or CCE 552)
Available via Ecampus
IE 586, PROJECT RISK MANAGEMENT, 4 Credits
An introduction to the concept of project risk in producing constructed engineering projects. Course content includes project baselining, risk definition and identification, risk assessment and management techniques, risk control, risk response, and risk management. CROSSLISTED as CCE 552/IE 586.
Equivalent to: CCE 552
Available via Ecampus
IE 587, MANAGEMENT OF INFORMATION SYSTEMS, 4 Credits
An introduction to the management of information systems and their strategic importance in business. Topics covered include global e-business and collaboration, databases and information management, basics of telecommunications and wireless technology, security vulnerabilities of information systems, basics of business intelligence and business analytics, knowledge management and enhanced decision making.
Prerequisite: IE 582 with B or better
Available via Ecampus
IE 588, MANAGEMENT OF NEW PRODUCT DEVELOPMENT, 4 Credits
Introduces the new product development (NPD) process with the objective of understanding the underlying structure in NPD and exploring the methods to manage NPD processes by applying them to case studies and term project. The NPD process is investigated through its five key phases: (1) Opportunity identification/selection, (2) Concept generation, (3) Concept/project evaluation, (4) Development, and (5) Launch.
Prerequisite: IE 581 with B or better and IE 582 [B] and IE 583 [B]
Recommended: IE 584
IE 589, PROFESSIONAL RESPONSIBILITY AND ETHICS, 3 Credits
An in-depth exploration of professional engineering ethics. Course content includes conceptual theoretical basis of ethics, ethics among professional organizations, ethical consideration of design, critical analysis of ethical situations, ethics in the workplace, and ethical considerations regarding the broader environment. CROSSLISTED as CCE 554/IE 589.
Equivalent to: CCE 554
Available via Ecampus
IE 590, STRATEGIC PLANNING IN ENGINEERING ORGANIZATIONS, 4 Credits
Provides an overview the strategic planning process from a variety engineering perspective. Variety engineering is explored via key management control theory concepts and through applying students’ work experience.
Prerequisite: IE 581 with B or better and IE 582 [B] and IE 583 [B]
Available via Ecampus
IE 591, STATISTICAL CONCEPTS FOR ENGINEERING MANAGERS, 4 Credits
Provides a first review of basic probability and statistical inference concepts and methods relevant for engineering managers. This is followed by a presentation of frequently utilized statistical methods in industry. These include process control, regression analysis, and experimental design. For each method, the fundamental ideas will be covered, and simple examples will be presented to provide engineering managers with the background needed to initiate and manage applications of these methods in industry. The course will end with an overview of process optimization, and robust parameter design.
Prerequisite: IE 582 with B or better
IE 599, SPECIAL TOPICS, 1-5 Credits
Recent advances in industrial engineering pertaining to the theory and application of system studies. Analysis and design of natural resource systems; evaluation; detection extraction; processing and marketing systems; advanced design of production systems with reference to social, economic, and regional planning; human engineering studies of man-machine systems; applications of operations research techniques. Nonsequence course. Not offered every term.
This course is repeatable for 99 credits.
IE 603, THESIS, 1-16 Credits
This course is repeatable for 999 credits.
IE 605, READING AND CONFERENCE, 1-16 Credits
This course is repeatable for 16 credits.
IE 606, PROJECTS, 1-16 Credits
This course is repeatable for 16 credits.
IE 607, SEMINAR, 1-16 Credits
This course is repeatable for 16 credits.