Graduate Course Descriptions
Course Descriptions for All Classes in the Catalog
Undergraduate Catalog Course Descriptions
Graduate Catalog Course Descriptions
Course Descriptions by Semester
IE 5191 - Advanced Studies in Industrial Engineering
Description: Individually approved research projects and reading courses in industrial engineering. Such individual studies will be graded A, B, C, D, F or X. Subject to the approval of the Graduate Advisor, IE 5191, 5291 and 5391 may be repeated as the topics change. In addition, work on a thesis substitute will be performed under IE 5391. In this case, IE 5391 is graded P/F/R.
IE 5291 - Advanced Studies in Industrial Engineering
Description: Individually approved research projects and reading courses in industrial engineering. Such individual studies will be graded A, B, C, D, F or X. Subject to the approval of the Graduate Advisor, IE 5191, 5291 and 5391 may be repeated as the topics change. In addition, work on a thesis substitute will be performed under IE 5391. In this case, IE 5391 is graded P/F/R.
IE 5300 - Topics in Industrial Engineering
Description: A study of selected topics in industrial engineering. May be repeated when topics vary.
Prerequisite: consent of instructor and Graduate Advisor.
IE 5301 - Advanced Operations Research
Description: A survey of quantitative methods to develop modeling and decision-making skills. Topics include z-transforms and difference equations, Markov Chains, decision analysis techniques, goal programming, game theory, queuing theory and nonlinear programming.
Prerequisites: Both IE 3301 and IE 3315 OR IE 5317 or equivalent.
Textbook(s):Operations Research by Taha. Eighth Edition.
Topics Covered:
- Linear difference equations and z-transforms
- Markov chains
- Markov decision processes
- Decision analysis and games theory
- Queuing theory
- Goal Programming
- Nonlinear Programming
IE 5303 - Quality Systems
Description: Principles and practices of industrial quality control. Topics include the Deming philosophy, process improvements, statistical process control, process capability analysis and product acceptance.
Prerequisite: IE 3301, or IE 5317, or equivalent.
This course is taught as a combined course with IE 4308.
IE 5304 - Advanced Engineering Economy
Description: Analysis of capital investments in engineering and technical projects. Topics include decision analysis methods, cash flows, revenue requirements, activity-based analysis, multi-attribute decisions, probabilistic analysis and sensitivity/risk analysis.
Prerequisite: graduate standing.
Textbook: The Economic Analysis of Capital Expenditures for Managers and Engineering, G.T. Stevens, Jr., Ginn Press, 1994, ISBN 0-536-58346-3.
Course Learning Goals/Objectives:
- The students will be able to determine the equivalent value of money at a specified time given the timing of deposits and the assumed time value of funds.
- The students will be able to select the most attractive interest rate offered by various lending institutions in various compound and simple interest forms.
- The students will be able to determine if an independent investment opportunity is economically attractive.
- The student will be able to determine the least-cost alternative of multiple solutions in a cost comparison scenario.
- The students will be able to identify the best project(s) to perform from a set of potential projects that are all independently economically attractive.
Topics Covered:
- Introduction to engineering economy
- Interest factors and equivalence
- Depreciation and depreciation models
- Tax considerations
- Evaluation of a single investment (internal rate of return, net present value, cash flows, etc.)
- Revenue requirements
- Capital budgeting
- Break-even models (linear and nonlinear)
- Cost comparisons
- Replacement analysis
Last Updated: For Fall 2010 Semester
IE 5305 - Linear Programming
Description: Theory and applications of linear programming including the simplex method, computational complexity, column generation and integer programming.
Prerequisite: IE 3315 or IE 5317.
IE 5306 - Dynamic Optimization
Description: Dynamic optimization methods including dynamic programming, the calculus of variations, and optimal control theory. Emphasis is on the modeling and solution of practical problems using these techniques.
Prerequisites: IE 3301 and IE 3315, or equivalent.
IE 5307 - Queueing Theory
Description: The fundamentals of queueing theory including Markovian birth-death models, networks of queues, and general arrival and service distributions.
Prerequisites: IE 3301 or IE 5317, or equivalent.
IE 5309 - Stochastic Processes
Description: The study of probabilistic model building including the fundamentals of both discrete and continuous Markov chains, queueing theory and renewal theory.
Prerequisites: IE 3301 or IE 5317, or equivalent.
IE 5310 - Production Systems Design
Description: Methods for the design and analysis of manufacturing and logistics systems. Emphasis is placed on reducing cycle time, increasing throughput, lowering variation, and improving both quality and customer responsiveness through modeling techniques.
Prerequisites: IE 5317 or equivalent, IE 5301 or concurrent and IE 5329 or concurrent or equivalent.
Text(s): Factory Physics. Wallace Hopp and Mark Spearman, McGraw-Hill, 3rd Edition
Course Learning Goals/Objectives: This course is designed for the student already knowledgeable of basic queuing theory, inventory control, and probability models. By the end of the course, the student will be able to analyze and evaluate the underlying behavior of manufacturing systems using a systematic approach.
Topics Covered:
- Philosophy of Factory Physics, Modeling & Basic Manufacturing Principles
- Manufacturing Systems in America
- JIT and Lessons From History
- Factory Objectives, Measures, & Controls
- The Basics of Variability & Its Corrupting Influence
- Push & Pull Production Systems, "Lean" Manufacturing
- People – the Human Element
- Principles in Practice: TQM, CONWIP, Supply Chain and Capacity Issues, etc.
- Synthesis – "Putting It All Together"
IE 5311 - Decision Analysis
Description: A survey of methods for making optimal decisions. Topics include decision models, formal logic, fuzzy controls, statistical decision theory, game theory, multiobjective decisions, stochastic programming, information theory and qualitative aspects of the decisions.
Prerequisites: IE 5301 or concurrent.
Textbook: None.
Other Required Material: Handouts will be given in class.
Course Learning Goals/Objectives: This course is designed to develop decision-making skills using logical reasoning and quantitative methods.
- By the end of this course, you should be able to:
- Analyze statements for their logical consistency.
- Derive valid conclusions from given assumptions.
- Understand fuzzy reasoning for subjective information.
- Design a simple fuzzy control system.
- Quantify subjective preferences through utility theory.
- Calculate rational game theoretic decisions in competive situations.
- Use Bayesian methods for decision making and for estimating statistical parameter and testing hypotheses.
- Understand the limits of human decision making and be able to recognize common decion-making errors.
Topics Covered:
- Sentential logic
- Fuzzy logic and control
- Various Decision criteria
- Take-home quiz 1
- Utility theory
- Game theory
- Statistical decision theory
- Information theory
- Errors in decision making
- Limits of decision making
Last updated: For Fall 2010 semester
IE 5312 - Planning and Conrol of Enterprise Systems
Description: A continuation of IE 5329 covering enterprise resource planning systems (ERP) and other advanced production control techniques. Computer modeling is emphasized.
Prerequisites: IE 5329.
IE 5313 - Reliability and Advanced Quality Control Topics
Description: Includes advanced quantitative topics in reliability design and quality control. Management of reliability and quality control functions are also included.
Prerequisites: IE 4308 or IE 5303.
IE 5314 - Safety Engineering
Description: Methods to identify, measure, analyze, and evaluate safety hazards in the workplace. Scientific and managerial methods to prevent or control safety hazards.
Prerequisites: graduate standing.
Textbook(s): The Safety and Health Handbook by David L. Goetsch (latest edition)
Topics Covered:
- Safety and Health Programs - Development
- Accident and their Effects
- Theories of Accident Causation
- SHAct, Standards, and Liability
- Worker's Compensation
- Standards, codes, and other safety documents
- International Standards Organization (ISO)
- Standards for controlling stress due to noise, vibration, heat and cold
- Product Safety and Liability
- Ethics and Safety
- Planning for Emergencies
- Safety Analysis and Prevention (Hazards and their Control)
- Warnings
- Quantifying Plant Safety
- Accident Investigations
- Promoting Safety - Management and its Responsibilities
- Ergonomics and Personnel Characteristics
- Stress and Safety
- Environments
- Selected sections from the following topics:
- Heat and Cold Stress
- Accelerations, falls, falling objects, and other impacts
- Mechanical injuries
- Pressure hazards
- Electrical hazards
IE 5317 - Introduction to Statistics and Operations Research
Description: Topics include descriptive statistics, set theory, combinatorics, mathematical expectation, probability distributions, confidence interval estimation, linear programming, the simplex and dual simplex algorithms, transportation and assignment problems, integer programming, and network analysis.
Prerequisites: Math 2326 or equivalent and permission of advisor.
IE 5318 - Applied Regression Analysis
Description: An in-depth study of one predictor variable followed by the matrix approach to multiple linear regression. Topics include estimation, prediction, analysis of variance, residual analysis, transformations, multicollinearity, model selection, weighted least squares, ridge regression, and robust regression.
Prerequisites: IE 3301 or IE 5317 or equivalent.
Textbook: Applied Linear Statistical Models, Fifth Edition, Michael H. Kutner, Christopher J. Nachtsheim, John Neter, William Li, 2004 (CD inside the cover).
Course Objectives:
- By the end of this course, students should be able to:
- Understand fundamental concepts of linear regression
- Perform a proper linear regression analysis on real data
- Interpret the analysis
Last updated: For Fall 2010 semester
IE 5319 - Advanced Statistical Process Control and Time Series Analysis
Description: Design of control schemes for statistical monitoring and control of modern manufacturing systems. Topics include charts for process control, effect of autocorrelation on SPC charts, and sampling plans for acceptance inspection.
Prerequisites: IE 3301 and IE 5303 or equivalent.
IE 5320 - Enterprise Engineering Methods
Description: A survey of enterprise engineering methods. Topics include system development methodology, discussion of enterprise architectures, activity modeling, business modeling, activity-based performance analysis, and process improvement.
Prerequisites: graduate standing.
IE 5321 - Enterprise Analysis and Design
Description: An in-depth study of techniques useful for the analysis and design of the manufacturing enterprise. This course presents an advanced process description technique that is used, with simulation and activity based costing, to facilitate analysis and design.
Prerequisites: IE 5320 and IE 5322, or concurrent enrollment.
IE 5322 - Simulation and Optimization
Description: An in-depth study of discrete event simulation theory and practice. Optimization and search techniques used in conjunction with simulation experiments are introduced. A commercial simulation software application is used.
Prerequisites: Prerequisite: IE 5317 or equivalent.
Text(s): Simulation with ARENA, W. David Kelton, Randall P. Sadowski, and David Sturrock.
Additional Recommended Material:
- Simulaiton Made Easy: A Manager’s Guide, Industrial Engineering and Management Press, 1995.
- Learning WITNESS, Lanner Group, Inc., 1998.
Student Learning Outcome:
- The students will be able to manually replicate the execution of a Discrete-Event Simulation Engine.
- The students will be able to summarize the various tasks outlined in a Simulation Project Methodology.
- The students will be able to recall and discuss issues associated with establishing a discrete-event simulation capability within a company.
- The student will be able to design a computer-based discrete-event simulation model to represent a complex industrial/business/service system.
- The students will be able to analyze the output of a simulation model in order to verify the appropriateness of the model’s performance.
- The students will be able to evaluate various system configurations to determine the most appropriate system design and/or justify proposed changes to a given system.
IE 5326 - Industrial Biomechanics
Description: The development and application of biomechanical models of physical work tasks, especially manual materials handling and hard-arm work activities.
Prerequisites: Graduate Standing.
IE 5329 - Production and Inventory Control Systems
Description: The fundamentals of production and inventory control systems. The economic impacts of fluctuating demand, supply availability and production rates are examined.
Prerequisites: graduate standing.
Textbooks: Factory Physics, Foundations of Manufacturing Management by W. J. Hopp and M. L. Spearman, Irwin, 2008.
Course Objectives:
- Identify and solve appropriate inventory control model problems given demand characteristics.
- Use MRP to devise a manufacturing schedule.
- Identify the basic metrics of a factory and describe their relationships.
- Measure and explain the effects of variability on a manufacturing system.
- Compare and contrast push versus pull systems.
- Compute a schedule of jobs and evaluate the schedule effectiveness.
Topics Covered:
- Manufacturing in America(.5 classes)
- Factory Physics? (.5 classes)
- Inventory Control: From EOQ to ROP (6 classes)
- The MRP Crusade (2 classes)
- The JIT Revolution (2 classes)
- Basic Factory Dynamics (2 classes)
- Variability Basics (3classes)
- The Corrupting Influence of Variability (3 classes)
- Push and Pull Production Systems (1 class)
- A Pull Planning Framework (4 classes)
- Production Scheduling (3 classes)
Last updated: For Fall 2010 semester
IE 5330 - Automation and Advanced Manufacturing
Description: The design of automated and advanced production processes for manufacturing. Topics include numerical control, robotics, group technology, just-in-time, automated inspection and flexible manufacturing systems.
Prerequisites: graduate standing.
This course is taught as a combined course with IE 4325.
IE 5331 - Idustrial Ergonomics
Description: The analysis and design of physical work, workplace, and hand tools using ergonomic principles for enhancing performance, health, and safety. Work refers mainly to whole body and hand-arm activities, while workplace refers to industrial and computerized office environments. Applications focus on people's anthropometric, musculoskeletal and psychological characteristics.
Prerequisites: Graduate standing.
IE 5332 - Nonlinear Programming
Description: Methods for nonlinear optimization including classical theory; gradient methods; sequential unconstrained methods; convex programming; genetic algorithms; simulated annealing; and separable, quadratic, and geometric programming.
Prerequisites: graduate standing.
IE 5333 - Logistics Transportation Systems Design
Description: The design and analysis of domestic and international transportation systems of people, processes, and technology. Topics include the role of transportation in the extended enterprise, transportation modeling and optimization techniques, value-added supply chain issues, and financial performance measures.
Prerequisites: IE 5317 or equivalent, IE 5301 or concurrent, and 5329 or concurrent, or equivalent.
Textbook(s): Designing and Managing the Supply Chain. Authors: D. Simchi-Levi, P. Kaminsky, and E. Simchi-Levi, McGraw Hill, 3rd edition, 2008.
Course Learning Objective/Goals: This course is designed for the student already knowledgeable of basic queuing theory, inventory control, and probability models. By the end of the course, the student will be able to analyze and evaluate the underlying behavior of logistics transportation systems and integrated supply chain networks using a systematic approach.
Topics Covered:
- Intro to Supply Chain Management and Value-Added Suppply Chain Issues
- Logistics Network Configuration
- Procurement & Outsourcing, Transportation Systems (Rail, Air, Trucking, etc.)
- International Issues in Logistics
- Information Technology and Decision Support Systems
- Supply-Chain Integration, Strategic Alliances
IE 5334 - Logistics Distribution Systems Design
Description: The design and analysis of distribution systems of people, processes and technology. The focus is on distribution, warehousing and material handling. Topics include the role of the warehouse in the extended enterprise, warehouse planning, process design, layout, equipment selection, workforce and workplace issues, and financial performance measures.
Prerequisites: IE 5317 or equivalent, IE 5301 or concurrent, and IE 5329 or concurrent, or equivalent.
IE 5335 - Advanced Occupational Environmental Hygiene Engineering
Description: Interaction of workers with physical environmental agents such as heat, cold, noise, vibration, illumination, radiation, and gravity. The design of work and the workplace to control environmental stresses, and their effects on workers' performance, health and safety.
Prerequisites: graduate standing.
IE 5338 - Human Engineering
Description: Human structural, physiological, psychological, and cognitive capacities and limitations in the workplace, and their effects on the design of work systems to enhance productivity, and maintain health and safety.
Prerequisites: IE 3301 or equivalent, or consent of instructor.
IE 5339 - Product Design, Development, Producibility, and Reliability Design
Description: This course covers product development and engineering design process with a focus on collaborative design. Software, manufacturing, reliability, testing, logistical and product support considerations are emphasized.
Prerequisites: graduate standing.
Textbook: None.
Course Learning Goals/Objectives:
- Students will demonstrate an understanding of the terminology, acronyms and concepts of product development, producibility and reliability.
- For this area of knowledge, the objectives include ABET criteria of
- Recognition of the need for, and an ability to engage in life-long learning
- Knowledge of contemporary issues (current, modern)
- Ability to use the techniques, skills, & modern engineering tools necessary for engineering practice
Last Updated: For Fall 2010 Semester
IE 5342 - Metrics and Measurement
Description: Work measurement, methods improvements, and performance measurement. A survey of enterprise and management measurement systems is presented.
Prerequisites: IE 5317 or equivalent.
IE 5345 - Management of Knowledge and Technology
Description: Review of contemporary issues in knowledge management, databases, decision support systems, and intelligent systems. Topics include knowledge acquisition, intelligent database design, decision support systems, data mining, knowledge transfer, and collaborative development.
Prerequisites: graduate standing.
IE 5346 - Technology Development and Deployment
Description: Review of management issues in developing and implementing new technologies and methodologies into an organization. Topics include technology forecasting, management of technology based projects, technological competitiveness, technology alliances, and collaboration.
Prerequisites: graduate standing.
IE 5350 - Graduate Design Capstone
Description: Practicum in Industrial Engineering techniques consisting of professional level experience in a relevant company, agency, or institution. This technical experience is directed by a supervising professor and requires the writing of a professional report.
Prerequisites: 24 hours of graduate work in Industrial Engineering.
IE 5351 - Introduction to Systems Engineering
Description: This course includes a survey of concepts, principles and processes required to engineer complex systems throughout the life-cycle from concept through disposal.
Prerequisites: graduate standing and permission of advisor.
Textbook: INCOSE Systems Engineering Handbook (Version 3.1) http://www.incose.org/ProductsPubs/incosestore.aspx
Course Learning Goals/Objectives:This course introduces the evolving discipline of systems engineering. The course includes a survey of the broad, rich, and diverse topics in systems engineering and provides a high level view of concepts, principles, and processes required for engineering complex systems. The course establishes a framework for understanding the breadth of systems engineering and is a prerequisite to the other core systems engineering courses (IE 5352, IE 5353, and IE 5354) which cover systems engineering concepts and processes in significant depth and which provide both the fundamental and applied management and technical knowledge to support the development of large scale complex systems.
Topics Covered:
- Concept, scope, and role of systems engineering
- Overview of concepts, principles, and processes required for engineering complex systems. Strong emphasis on fundamental technical and management processes.
- Systems Thinking/Systems Theory
- Generic Life Cycle Stages
- Technical Processes
- Project Processes
- Enterprise and Agreement Processes
- Key systems engineering standards and assessment models
- Expected results and deliverables throughout the systems lifecycle
- Understand & appreciate the need for ethical and professional behavior and expectations of working on a team to jointly define, develop, provide, and support a product
Last Updated: For Fall 2010 Semester
IE 5352 - Systems Engineering I
Description: A study of systems engineering topics including technical planning and management, supply processes, requirements definition and analysis, functional analysis, and trade-off analysis.
Prerequisites: IE 5351.
IE 5353 - Systems Engineering II
Description: A continuation of IE 5352. Topics include risk management, systems design and implementation, acquisition processes, assessment and control, earned value management, technical process management, and enabling products.
Prerequisites: IE 5352.
IE 5354 - Systems Engineering III
Description: A continuation of IE 5353. Topics include system verification, validation and transition to use, specialty engineering, improving SE processes, SE and relationships to international programs, object oriented systems engineering and configuration management. A comprehensive student project it required.
Prerequisites: IE 5353.
IE 5391 - Advanced Studies in Industrial Engineering
Description: Individually approved research projects and reading courses in industrial engineering. Such individual studies will be graded A, B, C, D, F or X. Subject to the approval of the Graduate Advisor, IE 5191, 5291 and 5391 may be repeated as the topics change. In addition, work on a thesis substitute will be performed under IE 5391. In this case, IE 5391 is graded P/F/R.
IE 5398 - Thesis
Description: Graded F, R.
IE 5698 - Thesis
Description: Graded P, F, R.
IE 6197 - Research in Industrial Engineering
Description: Supervised research projects directed toward the dissertation. Graded P, R, F.
IE 6297 - Research in Industrial Engineering
Description: Supervised research projects directed toward the dissertation. Graded P, R, F.
IE 6301 - Enterprise Architectures and Frameworks
Description: A survey of enterprise architectures and analysis frameworks that have been proposed for the integration of large complex enterprise systems. Emphasis is placed on state-of-the-art approaches.
Prerequisites: IE 5320.
IE 6302 - Facilities Planning and Design
Description: Facilities planning through layout design. Product flow, space-activity relationships, personnel requirements, and material handling are considered, as well as receiving, shipping, warehousing, and integration with manufacturing. Facilities planning models are explored.
Prerequisites: IE 5317 or equivalent, IE 5301 or concurrent, and IE 5329, or concurrent or equivalent.
Textbook(s): Facilities Planning. Tompkins, White, et.al. John Wiley, 4th edition, 2010.
Course Learning Goals/Objectives: This course is designed to develop facilities planning and layout skills, including the ability to apply quantitative methods to decision-making in the areas of selecting, preparing, presenting, and implementing facilities plans. These skills have broad applications and can be useful for the planning and design of a manufacturing enterprise, hospital, airport, warehouse/distribution center, bank, office, retail store, etc.
- By the end of the course, you should be able to:
- Explain the "Winning Facilities Planning Process"
- Determine product, process, and schedule design interactions & Develop personnel requirements
- Analyze flow, space, and activity relationships with impact to material handling and layout alternatives
- Integrate receiving, shipping, warehousing with manufacturing and supporting operations
- Apply standards of professional and ethical responsibility
- Prepare and present a detailed facilities planning project report and layout documenting all steps taken (define problem, generate alternatives, evaluate, select) including justification of your final recommendation.
Topics Covered:
- Strategic Facilities Planning
- Product, Process, and Schedule Design
- Flow, Space, and Activity Relationships
- Personnel Requirements, Material Handling, and Layout
- Receiving, Shipping, Warehousing and Integration with Manufacturing and Supporting Operations
- Facilities Planning Models; Evaluating, Selecting, Preparing, Presenting, and Implementing the Facilities Plan
Last Updated: For Fall 2010 Semester
IE 6303 - Combinatorial Optimization
Description: A survey of problems and algorithms in combinational optimization. Topics include shortest paths, minimum-weight spanning trees, matroids, matchings, optimal assignments and set packing.
Prerequisites: IE 5305 or consent of instructor.
IE 6305 - Engineering Management I
Description: The management of the engineering function in high-technology industry with principal emphasis on the historical development of industrial management principles, decision-making and planning.
Prerequisites: Graduate standing.
IE 6306 - Engineering Management II
Description: The management of the engineering function in high-technology industry with principal emphasis on human resources and staffing, directing and leading, and controlling.
Prerequisites: IE 6305.
IE 6308 - Design of Experiments
Description: Introduction to statistical design and analysis of experiments with applications from engineering, health care and business. Analysis includes analysis of variance, multiple comparisons and model adequacy. Designs include complete factorial, complete block, incomplete block, Latin square, Youden, two-level fractional factorial and hierachically nested.
Prerequisites: IE 5318 or consent of instructor.
IE 6309 - Response Surface Methodology and Computer Experiments
Description: Empirical model building and process optimization using experimental design and statistical modeling. The first half of the course covers first and second order models and designs, multiresponse experiments and mixture experiments. The second half introduces designs based on Latin hypercubes, orghogonal arrays, and number-based theoretic methods, plus models using kriging, multivariate adaptive regression splines and neural networks.
Prerequisites: IE 6308
Textbooks:
- Dean, A. and D. Voss (1999). Design and Analysis of Experiments. New York: Springer-Verlag.
- Mason,R.L.,R.F.Gunst,andJ.L.Hess(1989). Statistical Design and Analysis of Experiments. New York: Wiley.
- Shah, H. K., D. C. Montgomery, and W. M. Carlyle (2004). “Response Surface Modeling and Opti¬mization in Multiresponse Experiments Using Seemingly Unrelated Regression.” Quality Engineering. 16(3), pp. 387–397.
- Chen,V.C.P.,K.-L.Tsui,R.R.Barton,andJ.K.Allen(2003). “AReviewofDesignandModeling in Computer Experiments.” In Handbook of Statistics: Statistics in Industry (R. Khattree and C. R. Rao, eds.), 22, Amsterdam: Elsevier Science, pp. 231–261.
- Kutner,M.,C.Nachtsheim,J.Neter,andW.Li(2005). Applied Linear Statistical Models, Fifth Edition. New York: McGraw-Hill Irwin.
- Garth,A.D.N.,D.K.Rollins,V.C.P.Chen,andJ.Zhu(1996). “EvaluationofModelDiscrimination Techniques in Arti?cial Neural Networks with Application to Grain Drying.” ANNIE 96 Proceedings: Intelligent Engineering Systems Through Arti?cial Neural Networks, 6, pp. 939–950.
Supplemental Textbooks:
- Hastie,T.,J. H.Friedman, andR.Tibshirani(2001). Elements of Statistical Learning: Data Mining, Inference, and Prediction. New York: Springer-Verlag.
- Box,G.E.P. andN.R.Draper(1990). Empirical Model-Building and Response Surfaces. New York: Wiley.
- Box,G.E.P.,W.G.Hunter,andJ. S.Hunter(1978). Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building. New York: Wiley.
Course Objectives:
- At the end of this course, students should be able to:
- Understand fundamental concepts of matching experimental designs with analysis models.
- Recognize types of experimental designs and analysis models.
- Perform and interpret a proper response surface analysis.
- Perform and interpret a proper computer experiment study.
Topics Covered:
- Response SurfaceMethodology(RSM)
- 1.2First-OrderModels
- SecondOrderModels
- 1.4MultiresponseExperiments
- 1.5MixtureExperiments
- Design and Analysis of Computer Experiments(DACE)
IE 6310 - Industrial Applications
Description: Project oriented course focusing on the requirements and selection criteria for the integration of technology into simple and complex industrial activities.
Prerequisites: IE 5330
Textbooks:
- "Starting an iphone Application Business for Dummies," A. Nicholson, Wiley Publishing, ISBN 978-0-470-52452-7.
- "App Savvy," Ken Yarmosh, Publisher - O'Reilly, ISBN 978-1-449-38976-5.
Other Required Materials: Handouts
Course Learning Goals/Objectives: This course will provide an understanding of the relationships between the process and product requirements of a manufacturing activity in order to analyze, design, and develop the concepts needed to put together integrated systems.
Topices Covered: As a project course, the topics depend on the area of focus for that semester. Topics will vary for each semester. Contact the Professor for this year’s topic.
Last updated: Spring 2011
IE 6397 - Research in Industrial Engineering
Description: Supervised research projects directed toward the dissertation. Graded P, R, F.
IE 6399 - Dissertation
Description: Graded F, R.
IE 6697 - Research in Industrial Engineering
Description: Supervised research projects directed toward the dissertation. Graded P, R, F.
IE 6699 - Dissertation
Description: Graded F, R, P, W.
IE 6997 - Research in Industrial Engineering
Description: Supervised research projects directed toward the dissertation. Graded P, R, F.
IE 6999 - Dissertation
Description: Graded P, F, R.
IE 7399 - Doctoral Degree Completion
Description: This course may be taken during the semester in which a student expects to complete all requirements for the doctoral degree and graduate. Enrolling in this course meets minimum enrollment requirements for graduation, for holding fellowships awarded by The Office of Graduate Studies and for full-time GTA or GRA positions. Students should verify that enrollment in this course meets other applicable enrollment requirements. To remain eligible in their final semester of study for grants, loans or other forms of financial aid administered by the Financial Aid Office must enroll in a minimum of 5 hours as required by the Office of Financial Aid. Other funding sources may also require more than 3-hours of enrollment. Additional hours may also be required to meet to requirements set by immigration law or by the policies of the student's degree program. Students should contact the Financial Aid Office, other sources of funding, Office of International Education and/or their graduate advisor to verify enrollment requirements before registering for this course. This course may only be taken once and may not be repeated. Students who do not complete all graduation requirements while enrolled in this course must enroll in a minimum of 6 dissertation hours (6699 or 6999) in their graduation term. Graded P/F/R.