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Edward P. Fitts Department of Industrial and Systems Engineering

www.ise.ncsu.edu

Daniels Hall, Room 400
Phone: (919) 515-2362
Visit the ISE website

Ranked in the top 10, the Edward P. Fitts Department of Industrial and Systems Engineering (ISE) offers an ABET accredited undergraduate B.S. program in Industrial Engineering.

What is Industrial & System Engineering?

Industrial engineers are problem solvers!  We analyze processes and ask “how can we make these processes faster, better, and cheaper?”  ISEs play a pivotal role in end to end business operations from product development to product and service delivery.  It is this holistic view that makes ISE unique.  We rely heavily on gathering and evaluating data to help make decisions that are based on statistical and engineering methods. Here are some of the tasks that ISEs lead in industry today:

  • Assess the feasibility of manufacturing a new product with existing technologies, resources, and capacity or develop new ways to make products including automation
  • Create and monitor quality plans that ensure that faulty products will not be shipped to the customer.
  • Determine improved methods of scheduling patients for surgery that decreases patient wait time and surgeon’s overtime.
  • Model a retail chain’s inventory and supply chain methods to improve on-time deliveries.
  • Develop computer simulation models to design and control large complex manufacturing, supply chain, or service delivery systems.
  • Design controls in an airplane cockpit that are Human-centered.

As you can see ISEs enjoy the freedom to explore almost any industry.  The career paths that you can take with ISE are virtually limitless! Watch these videos to hear about ISE careers: ISEs in action!

Program Educational Objectives

The program educational objectives of the ISE department are to produce graduates capable of world-class performance in the following areas:

1. Applying the discipline's body of knowledge to the design and management of systems, products and processes by working effectively with multiple constraints, understanding the importance of time and cost;

2. Contributing meaningfully to team efforts in the workplace, understanding the economic, societal, and ethical impacts of their decisions, and communication effectively with all stakeholders in the decisions; and

3. Adapting to changes in technology and our global society over the course of their professional lives by continuous learning through varied work assignments, advanced degrees, professional training programs and independent study.

The Bachelor of Science in Industrial Engineering is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org.

Specific curriculum requirements are available online.

Curriculum

Throughout the curriculum students will develop a breadth of knowledge in all of the ISE focus areas resulting in a broad base of knowledge and skills. There is a pervasive thread throughout the curriculum on the measurement, design, and continuous improvement of production and service systems. The result is a data-driven, efficiency-focused engineer that is highly attractive in many industry segments. Our courses are designed to be hands-on whether that is in our state-of-the-art laboratories or using the latest software applications to solve real problems. The senior design capstone course is designed to give students an opportunity to apply what they have learned in the classroom to solve an industry-sponsored project. In addition to ISE courses, students take a wide variety of science, engineering, math, and statistics courses to form a well-rounded education.

Opportunities

Industrial and Systems engineers can be found everywhere! According to the Bureau of Labor Statistics, ISEs will be highly sought after in the coming decade. This is not surprising given the cost and efficiency pressure on both manufacturing and service sectors. Industrial engineers are hired by virtually all segments of industry. They may work in hospitals and healthcare consulting firms to make healthcare delivery more cost effective as well as in high tech manufacturing industries. Another area in which ISEs play a pivotal role, is in successful integration of global business partners. As companies continue to seek a global presence, industrial engineers will be involved in the design of new supply chain networks or qualification of manufacturing processes/facilities.  Given the level of impact made by ISEs in industry today it is not surprising that our current job placement rate is among the highest in the College of Engineering, above 90% within 3 months of graduation.  Many ISEs rise to the management ranks throughout the career and there have been several ISEs who have become CEOs: Tim Cook (Apple Inc.), Mike Duke (Walmart) & Charles Holliday (Dupont) to name a few.

Minor in Industrial Engineering

The minor in Industrial Engineering is designed to provide undergraduate engineering students and other science majors in curricula other than Industrial Engineering with the fundamentals of industrial engineering necessary for advanced study in the discipline and/or employment in industrial engineering.  Students minoring in Industrial Engineering will learn basic principles of ISE as well as more advanced principles in at least one specific area of interest.

Admissions and Certification of Minor

The minor must be completed no later than the semester in which the student expects to graduate from his or her degree program. Paperwork for certification can be found in 410 Daniels Hall and should be completed no later than during the registration period for the student’s final semester at NC State.

For more information contact Dr. Vila-Parrish: arvila@ncsu.edu or (919) 515-0605.

Admissions and Certification of Minor

The minor must be completed no later than the semester in which the student expects to graduate from his or her degree program. Paperwork for certification can be found in 410 Daniels Hall and should be completed no later than during the registration period for the student’s final semester at NC State.

For more information contact Dr. Vila-Parrish: arvila@ncsu.edu or (919) 515-0605.

Accelerated Baccalaureate/Masters (ABM) Program

This program will allow exceptional undergraduate students to complete both undergraduate and graduate degrees at an accelerated pace. The student is allowed up to 12 credit hours to be counted towards both the undergraduate and graduate degrees.

Requirements

  • Students must have completed a minimum of 75 credit hours and up to a maximum of 96 credit hours by the end of the current semester (includes transfer credits).
  • Students must have earned a GPA of at least 3.5 for all courses and 3.5 for all Industrial Engineering courses.
  • Students must have satisfied all prerequisite requirements for 400 level courses.
  • A letter of recommendation from the undergraduate teaching adviser identifying the applicant as a participant in the ABM program should accompany the application as well as the course numbers and titles of the 12 credit hours to be used for both the bachelor’s and master’s degree programs.

Head, Edgar S. Woolard Professor

P.H. Cohen


Director of Graduate Programs

Y. Fathi


Henry A. Foscue Distinguished Professor Emeritus

C.T. Culbreth


A. Doug Allison Professor

S.D. Roberts


C.A. Anderson Professor

R. Uzsoy


Dopaco Professor

R.A. Wysk


Professors

Y. Fathi

O. Harrysson

J. Ivy

D.B. Kaber

Y.S. Lee

M. Mayorga

J.R. Wilson

R.E. Young


Professor Emeriti

M.A. Ayoub

R. Bernhard

H.L. Nuttle


Associate Professor

J. Dong

M.G. Kay

Y. Liu

C.S. Nam

R. Shirwaiker

B. Starly


Research Associate Professor

J. Taheri

H. West


Associate Professor Emeritus

E. Sanii


Assistant Professor

K. Chen

O. Ozaltin

X. Xu


Lecturer Emeritus

C. Smith


Lecturers

M. Feinstein

C. Irwin

J.C. Low

M. Spano

N. Summerville


Research Assistant Professor

T. Horn

ISE - Industrial and Systems Engineering Courses

ISE 110 Computer-Based Modeling for Engineers 3.
Prerequisite: E 115, Corequisite: MA 141.

Introductory course in computer-based modeling and programming using Visual Basic for Applications. Emphasis on algorithm development and engineering problem solving. Methodical development of VBA within applications like Microsoft Excel and Access from specifications; documentation, style; control structures; classes and methods; data types and data abstraction; object-oriented programming and design; graphical user interface design. Projects: design problems from electrical, industrial, textile, and financial systems. Functional relationships will be given and programs will be designed and developed from a list of specifications.

ISE 215 Foundations of Design & 3D Modeling for Engineers 1.
Prerequisite: E115 and Corequisite: ISE216.

This is an 8 week course.An introductory engineering graphics course which builds on the foundations of computer-aided 2D sketching and 3D modeling for industrial engineers. Students will develop and refine their ability to communicate designs via modeling techniques prolific in industry. The concurrent nature of ideation, engineering analysis and manufacturing will be emphasized as students review case studies and develop their own models. Constraint-based design will drive strategies that accurately reflect design intent and promote part family relationships and automation. Students will work in small teams to create a mechanism that must achieve certain functional criteria.ISE majors have priority registration for this course.

ISE 216 Product Development and Rapid Prototyping 3.
Corequisite: ISE 215.

Introduction to product development and prototyping. Team-based development of a new product during the semester. Specific topics are voice of the customer, product specification and parameter specification, Quality Function Deployment and the House of Quality, concept generation, concept selection, detailed design using SolidWorks, prototyping, design for assembly, design for the environment, and intellectual properties and patents. Team presentations of a functional prototype of their product at the end of the semester.

ISE 311 Engineering Economic Analysis 3.
Prerequisite: Grade of C or better in MA 141.

Engineering and managerial decision making. The theory of interest and its uses. Equivalent annual costs, present worth, internal rates of return, and benefit/cost ratios. Accounting depreciation and its tax effects. Economic lot size and similar cost minimization models. Sensitivity analysis. Cost dichotomies: fixed vs. variable, and incremental vs. sunk, use of accounting data. Replacement theory and economic life. Engineering examples.

ISE 315 Introduction to Computer-Aided Manufacturing 1.
Prerequisite: ISE 215 and Co-requisite: ISE 316.

This is an 8 week course.Introduction to the principles of modern-day multi-axis machine tool control, using computer-aided manufacturing (CAM) software tools. Emphasis is placed on transferring part geometry from CAD to CAM, for the development of CNC-ready programs. Industry file formats, machining strategies, G & M-code generation, optimization and verification techniques will also be investigated. Upon successful completion of this course, students will be able to demonstrate proficiency in the use of industry-relevant CAD/CAM software and will be able to extend that knowledge to practice through exercises and projects. Use of CNC machine tools will be introduced and demonstrated in the department's physical lab spaces.ISE majors have priority registration for this course.

ISE 316 Manufacturing Engineering I - Processes 3.
Prerequisite: MSE 200 and ISE 216; Co-requisite: ISE 315.

Analytical study and design of manufacturing engineering with emphasis on mfg. and processes. Addresses the interaction of design, materials, and processing. Laboratory instruction and hands-on experience in metrology, machining, process planning,economic justification, and current mfg. methodologies.

ISE 352 Fundamentals of Human-Machine Systems Design 4.
Prerequisite: C- or better in ST 371; C or better in ISE 110.

Introduction to work methods and ergonomics. Coverage of methods to improve operator performance and production process efficiency. Techniques include project evaluation and review, operator-machine ratios, line balancing, work sampling, time study, learning curve analysis and pre-determined time systems. Ergonomics component includes job screening methods, anthropometry, workstation and hand-tool design, and methods for reducing hazard exposure and controlling cumulative trauma disorders.

ISE 361 Deterministic Models in Industrial Engineering 3.
Prerequisite: (MA 303 or MA 341 or MA 405 )and C or better in ISE 110.

Introduction to mathematical modeling, analysis techniques, and solution procedures applicable to decision-making problems in a deterministic environment. Linear programming models and algorithms and associated computer codes are emphasized.

ISE 362 Stochastic Models in Industrial Engineering 3.
Prerequisite: C or better in ISE/TE 110 and (MA 303 or MA 341 or MA 405) and C- or better in ST 371 or ST 370.

Introduction to mathematical modeling, analysis, and solution procedures applicable to uncertain (stochastic) production systems. Methodologies covered include probability theory and stochastic processes. Applications relate to design and analysisof problems, capacity planning, inventory control, waiting lines, and system reliability and maintainability.

ISE 408 Control of Production and Service Systems 3.
Prerequisite: ISE 361; C- or better in ST 371.

Planning and control of production and service systems. Production organization flow and inventory control methods: Systems approach.

ISE 416 Manufacturing Engineering II - Automation 3.
Prerequisite: ISE 316.

Integration of design and mfg. through computer aided/automated process planning, concurrent engineering, and rapid prototyping. Fixed and programmable automation in mfg. and service. Autonomous mfg. systems such as computer numerical control (CNC), industrial robotics, automated inspection, electronics manufacturing and assembly.

ISE 417 Database Applications in Industrial & Systems Engineering 3.
Prerequisite: C or better in ISE 110.

Rapid applications development (RAD) tools to design and implement database-based applications. The SQL database query language, a standard RAD environment and how to access information in a database from it, use of Visual Basic for Applications, and how to integrate these tools together to design and build engineering applications. Examples will be from manufacturing and production systems.

ISE 441 Introduction to Simulation 3.
Prerequisite: MA 242, ST 372, C or better in ISE 110.

Discrete-event stochastic simulation for the modeling and analysis of systems. Programming of simulation models in a simulation language. Input data analysis, variance reduction techniques, validation and verification, and analysis of simulation output. Random number generators and random variate generation.

ISE 443 Quality Design and Control 3.
Prerequisite: ST 372.

Statistical methods in quality control. Control charts for variables and attributes. Process capability assessment. Role of experimentation in designing for quality. Total Quality Management. Tools for continuous quality improvement. Quality Function Deployment.

ISE 452 Advanced Human-Machine Systems Design 3.
Prerequisite: CE 214 and ISE 352.

Advanced concepts in human-machine systems design. Consideration of anatomical and physiological bases for design of work systems. Advanced biomechanical analysis and modeling for manual material handling design. Physiological and psychological capabilities and limitations as related to work systems design and human performance. Coverage of human information processing and performance theories and models, including pipe-line, signal detection theory, information theory, and motor control theory. Additional topics include human factors experimentation and neuroergonomics (brain and behavior).

ISE 453 Design of Production, Logistics, and Service Systems 3.
Prerequisite: ISE 361 and ST 372; Corequisite: ISE 311.

Principles and practice in design of facilities and logistics networks. Integration of supply chain design, capacity planning, facility layout, material handling, and storage and warehousing issues into overall production system design. Emphasis on economic justification of alternative designs and use of computer software to aid design process. Group projects.

ISE 462 Advanced Stochastic Models in Industrial Engineering 3.
Prerequisite: ISE 362.

Advanced topics related to mathematical modeling, analysis, and solution procedures applicable to uncertain (stochastic) production systems. Methodologies covered include economic analysis under uncertainty, discrete and continuous time stochastic processes. Applications relate to design, analysis and control relating to capacity planning, inventory control, waiting lines, and system reliability and maintainability.

ISE 495 Project Work in Industrial Engineering 1-6.
Prerequisite: Junior standing..

Special investigations, study or research related to the field of industrial engineering. In a given semester several students and/or student groups may be working in widely divergent areas under the direction of several members of the faculty.

ISE 498 Senior Design Project 3.
Prerequisite: 3 of the following 5 (ISE 311, ISE 452, ISE 408, ISE 441, ISE 453).

Individual or group design projects requiring problem definition and analysis, synthesis, specification and presentation of a designed solution. Students work under faculty supervision either on actual industrial engineering problems posed by local industrial, service and governmental organization or on emerging research issues.

ISE 501 Introduction to Operations Research 3.
Prerequisite: MA 421 or ST 421 or ST 371 and ST 372.

OR Approach: modeling, constraints, objective and criterion. Problems of multiple criteria, optimization, model validation and systems design. OR Methodology: mathematical programming; optimum seeking; simulation, gaming; heuristic programming. Examples, OR Applications: theory of inventory; economic ordering under deterministic and stochastic demand. Production smoothing problem; linear and quadratic cost functions. Waiting line problems: single and multiple servers with Poisson input and output. Theory of games for two-person competitive situations. Project management through PERT-CPM.

ISE 505 Linear Programming 3.
Prerequisite: MA 405.

Introduction including: applications to economics and engineering; the simplex and interior-point methods; parametric programming and post-optimality analysis; duality matrix games, linear systems solvability theory and linear systems duality theory; polyhedral sets and cones, including their convexity and separation properties and dual representations; equilibrium prices, Lagrange multipliers, subgradients and sensitivity analysis.

ISE 510 Applied Engineering Economy 3.
Prerequisite: Undergrad. courses in engineering economics and ST.

Engineering economy analysis of alternative projects including tax and inflation aspects, sensitivity analysis, risk assessment, decision criteria. Emphasis on applications.

ISE 515 Manufacturing Process Engineering 3.

Manufacturing process engineering, primary, secondary, finishing and assembly processes. Traditional and non-traditional manufacturing processes, group technology, manufacturing analyses and application of economic analyses. Graduate standing in Engineering.

ISE 519 Database Applications in Industrial and Systems Engineering 3.
Prerequisite: ISE 110.

Rapid application development (RAD) tools to design and implement database-based applications. This includes: SQL query language, Visual Basic for Applications in database application construction, a standard RAD environment and how to access information in a database, entity/attribute modeling of the database structure, anomalies of database structures that create problems for applications, modeling of application system's functionality, and integrating these tools together to design and implement engineering applications. Examples from manufacturing and production systems. Restricted to advanced undergraduates and graduate students.

ISE 520 Healthcare Systems Performance Improvement I 3.
Prerequisite: ST 372, ISE 352, ISE 361, and ISE 441.

Methods used to improve the performance of health care delivery systems with emphasis on patient care cost, access, and quality. Adaptation of lean and six-sigma to rapid and continuous health care systems improvement through organizational and process transformation. Fundamentals of scheduling, staffing, and productivity in health systems employing simulation and optimization. Health care policy and management.

ISE 521 Healthcare Systems Performance Improvement II 3.
Prerequisite: ISE 520.

Continuation of ISE 520 with a concentration on the completion of a healthcare systems process improvement project at the sponsoring health care institution. Project must employ the tools and techniques of healthcare systems process improvement. The project is done in conjunction with a diverse and multi-disciplinary team from the healthcare institution. The student must serve as a facilitator and coach, resulting in a project with measured success. Success will be determined by the improvement in patient care as quantified in cost, quality, and access.

ISE 540 Human Factors In Systems Design 3.
Prerequisite: IE 452 or PSY 340, Corequisite: ST 507 or 515.

Introduction to problems of the systems development cycle, including human-machine function allocation, military specifications, display-control compatibility, the personnel sub-system concept and maintainability design. Detailed treatment given to people as information processing mechanisms.

ISE 541 Occupational Safety Engrg 3.

Occupational accident-injury study; morbidity, mortality; investigation and analysis. Hazard control; energy countermeasure strategies; control technology. Impact biomechanics, trauma and survivability. Risk assessment; systems safety analysis. Product design, manufacturing defects, system failures and human error as causative factors. Safety program development. Near-accident reporting. OSHA compliance; standards. Accident, trauma and forensic case studies from manufacturing, motor carrier andconstruction industries.

ISE 543 Musculoskeletal Mechanics 3.
Prerequisite: BIO 125 or BAE(BIO) 235 or Graduate standing.

Anatomy, physiology and biomechanics of musculoskeletal system including muscle bone, tendon, ligament, cartilage, nerve. Modeling of tissue and joints with special emphasis on spine and upper extremity. Physical, mathematical, optimization and finite element modeling techniques as applied in biomechanics research.

ISE 544 Occupational Biomechanics 3.
Prerequisite: Graduate standing.

Anatomical, physiological, and biomechanical bases of physical ergonomics. Strength of biomaterials, human motor capabilities, body mechanics, kinematics and anthropometry. Use of bioinstrumentation, active and passive industrial surveillance techniques and the NIOSH lifting guide. Acute injury and cumulative trauma disorders. Static and dynamic biomechanical modeling. Emphasis on low back, shoulder and hand/wrist biomechanics.

ISE 546 Management Decision and Control Systems 3.
Prerequisite: CSC 423 or BUS 541.

Planning, design, and development and implementation of comprehensive computer-based information systems to support management decisions. Formal information systems principles; information requirements analysis; knowledge acquisition techniques; information modeling. Information resource management for quality operational control and decision support; system evaluation, process improvement and cost effectiveness.

ISE 552 Design and Control of Production and Service Systems 3.
Prerequisite: ST 371 or ST 372.

Basic terminology and techniques for the control of production and service systems including economic order quantity models; stochastic inventory models; material requirements planning; Theory of Constraints; single and mixed model assembly lines ; and lean manufacturing. Emphasis on mathematical models of the interaction between limited capacity and stochastic variability through the use of queueing models to describe system behavior.

ISE 553 Modeling and Analysis of Supply Chains 3.
Prerequisite: ISE 361 and ST 372.

Basic issues in operating supply chains, using state of the art modeling tools available for their analysis. Emphasis on using engineering models to develop insights into the behavior of these systems.

ISE 560 Stochastic Models in Industrial Engineering 3.

ISE/OR 560 will introduce mathematical modeling, analysis, and solution procedures applicable to uncertain (stochastic) production and service systems. Methodologies covered include probability theory and stochastic processes including discrete and continuous Markov processes. Applications relate to design and analysis of problems, capacity planning, inventory control, waiting lines, and service systems.

ISE 562 Simulation Modeling 3.

This course concentrates on design, construction, and use of discrete/continuous simulation object-based models employing the SIMIO software, with application to manufacturing, service, and healthcare. The focus is on methods for modeling and analyzing complex problems using simulation objects. Analysis includes data-based modeling, process design, input modeling, output analysis, and the use of 3D animation with other graphical displays. Object-oriented modeling is used to extend models and enhance re-usability.

ISE 589 Special Topics In Industrial Engineering 1-6.

Special developments in some phase of industrial engineering using traditional course format. Identification of various specific topics and prerequisites for each section from term to term.

ISE 601 Seminar 1.

Seminar discussion of industrial engineering problems for graduate students. Case analyses and reports.

ISE 610 Special Topics in Industrial Engineering 3-6.

Special developments in some phase of industrial engineering using traditional course format. Identification of various specific topics and prerequisites for each section from term to term.

ISE 637 Directed Study in Industrial Engineering 1-3.

Independent study providing opportunity for individual students to explore topics of special interest under direction of a member of faculty.

ISE 639 Advanced Directed Study in Industrial Engineering 1-3.

Independent study providing an opportunity for individual graduate students to explore advanced topics of special interest under the direction of a member of the faculty.

ISE 677 Industrial Engineering Projects 1-6.
Prerequisite: MIE candidates.

Investigation and written report on assigned problems germane to industrial engineering. Maximum of six credits to be earned for MIE degree.

ISE 685 Master's Supervised Teaching 1-3.
Prerequisite: Master's student.

Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment.

ISE 688 Non-Thesis Masters Continuous Registration - Half Time Registration 1.
Prerequisite: Master's student.

For students in non-thesis master's programs who have completed all credit hour requirements for their degree but need to maintain half-time continuous registration to complete incomplete grades, projects, final master's exam, etc.

ISE 689 Non-Thesis Master Continuous Registration - Full Time Registration 3.
Prerequisite: Master's student.

For students in non-thesis master's programs who have completed all credit hour requirements for their degree but need to maintain full-time continuous registration to complete incomplete grades, projects, final master's exam, etc. Students may register for this course a maximum of one semester.

ISE 693 Master's Supervised Research 1-9.
Prerequisite: Master's student.

Instruction in research and research under the mentorship of a member of the Graduate Faculty.

ISE 695 Master's Thesis Research 1-9.

Thesis research.

ISE 696 Summer Thesis Research 1.
Prerequisite: Master's student.

For graduate students whose programs of work specify no formal course work during a summer session and who will be devoting full time to thesis research.

ISE 699 Master's Thesis Preparation 1-9.
Prerequisite: Master's student.

For student who have completed all credit hour requirements and full-time enrollment for the master's degree and are writing and defending their theses.

ISE 707 Real-Time Control of Automated Manufacturing 3.

Concepts and application of real-time control of automated manufacturing systems. Development of prototype manufacturing control applications involving introductions to following topics: computer architecture; real-time, multi-tasking operating systems; data modeling; multi-processing systems; local area networks; inter-task communication; and development of multi-tasking control systems. Design development of control system.

ISE 708 Integer Programming 3.
Prerequisite: MA 405, OR (MA,IE) 505, Corequisite: Some familiarity with computers (e.g., CSC 112).

General integer programming problems and principal methods of solving them. Emphasis on intuitive presentation of ideas underlying various algorithms rather than detailed description of computer codes. Students have some "hands on" computing experience that should enable them to adapt ideas presented in course to integer programming problems they may encounter.

ISE 709 Dynamic Programming 3.
Prerequisite: MA 405, ST 421.

Introduction to theory and computational aspects of dynamic programming and its application to sequential decision problems.

ISE 711 Capital Investment Economic Analysis 3.
Prerequisites: ISE 311 and ST 371.

Analysis of economic merits of alternatives including interest and income tax considerations. Risk and sensitivity exploration techniques. Introduction to analytical techniques for multiple objectives or criteria. Use of mathematical programming andcomputers for capital budgeting.

ISE 712 Bayesian Decision Analysis For Engineers and Managers 3.
Prerequisite: ST 371 or ST 421.

The Bayesian approach to decision making, with numerous applications in engineering and business. Expected value maximization, decision trees, Bayes' theorem, value of information, sequential procedures and optimal strategies. Axiomatic utility theory and controversies, utility of money, theoretical and empirical determination of utility functions and relationship to mean-variance analysis. Brief introduction to multi-attribute problems, time streams and group decisions.

ISE 714 Product Manufacturing Engineering for the Medical Device Industry 3.
Prerequisite: ISE 515.

Product development course targeted toward the medical device industry. Product design and development, concept generation and selection, parametric feature-based CAD, design for manufacturability (DFM) and assembly (DFA), tolerancing, rapid prototyping, tool design, tool fabrication, and medical device fabrication.

ISE 715 Manufacturing Process Engineering 3.

Manufacturing process engineering, primary,secondary, finishing and assembly processes. concurrent engineering, process planning, group technology, manufacturing analyses and application of economic analyses.

ISE 716 Automated Systems Engineering 3.

General principles of operation and programming of automated systems. Automated assembly, automated manufacturing, and inspection systems. Control of automated manufacturing. Industrial logic systems and programmable logic controllers. Computer numerical control, industrial robotics, and computer integrated manufacturing.

ISE 718 Micro/Nano-Scale Fabrication and Manufacturing 3.
Prerequisite: ISE 316 or graduate standing in the college of engineering.

Introduction to physical theory, process design, analysis, and characterization of micro/nano scale fabrication and manufacturing. The main focus of the course is on the fabrication/manufacturing of important types of microstructures used in micro/nano devices and the techniques and tools used to fabricate and characterize them.

ISE 723 Production Planning, Scheduling and Inventory Control 3.
Prerequisite: OR 501 and ST 511.

An analysis of Production-Inventory systems. Discussion of commonly used planning and scheduling techniques. Introduction to use of math modeling for solution of planning and scheduling problems. Interface with quality control and information systems.

ISE 726 Theory of Activity Networks 3.
Prerequisite: OR 501, OR(IE,MA) 505.

Introduction to graph theory and network theory. In-depth discussion of theory underlying (1) deterministic activity networks (CPM): optimal time-cost trade offs; the problem of scarce resources; (2) probabilistic activity networks (PERT): critical evaluation of underlying assumptions; (3) generalized activity networks (GERT, GAN): applications of signal flow graphs and semi-Markov process to probabilistic branching; relation to the theory of scheduling.

ISE 731 Multi-Attribute Decision Analysis 3.

Specification of attributes/criteria/objectives for complex decisions. Determination of alternatives, attribute weights and decision-making process. Graphical and weighted evaluation techniques. Multi-attribute utility, multi-objective/goal programming and analytic hierarchy process methodologies. Computer applications and case studies.

ISE 740 Engineering Psychology of Human-computer Interaction 3.
Prerequisite: IE(PSY) 540 or CSC 554.

Exploration of usability of computer technology. Theory and practice of user-centered design for HCI applications. Course focuses on current usability paradigms and principles, psychology of users, iterative and participatory design processes, system requirements specification, prototyping, user support systems, usability evaluation and engineering, interface design guidelines and standards. Application domains include, universal design, virtual reality, and scientific data visualization.

ISE 741 Systems Safety Engineering 3.

Systems safety engineering. Course familiarizes students with techniques for identifying and recognizing potential safety hazards and the concept of risk assessment. Preliminary Hazard Analysis, Failure Modes and Effects Analysis, System and Subsystem Hazard Analysis, Fault Tree Analysis, Process Safety Management (29CFR1910.119) are explored together with applications to hazard analysis and control. Industrial situations and case studies are employed to illustrate usefulness of various system safety techniques.

ISE 742 Environmental Stress, Physiology and Performance 3.

Human skilled performance as affected by environmental stressors, including noise, vibration, heat, cold, accelerator, pressure altitude, toxic agents and illumination. Physiological effects of stressors and their relationship to health, performanceand, ultimately, to safety. Impact biomechanics and crash survival. Human survival in adverse environments. Combined stressor effects, physiological arousal, fatigue and performance decrement.

ISE 743 Ergonomic Performance Assessment 3.
Prerequisite: PSY 200, ST 507 and 508.

Fundamentals of ergonomic performance measurement used to assess the effects of environment and system design on human performance. Treatment of topics such as workload measurement, measurement of complex performance, simulator studies, measurement of change, task taxonomies, criterion task sets and statistical methods of task analysis. Problems of laboratory and field research, measurement of change and generalizability of findings.

ISE 744 Human Information Processing 3.
Prerequisite: PSY 200, ST 507 and 508.

Fundamentals of human information processing basic to skilled operator performance and the design of displays, controls and complex systems. Treatment of topics such as channel capacity, working memory, long-term memory, decision making, attention and process monitoring. Problems of display and control design and evaluation, evaluation of textual material, and human-computer interaction.

ISE 745 Human Performance Modeling 3.
Prerequisite: ST 507 or 515 or equivalent; IE (PSY) 540, CSC 554 or IE (PSY) 744.

Advanced aspects of human performance research. Qualitative models of human information processing. Characteristics and role of memory in decision making and response execution. Sensory channel parameters, attention allocation, time-sharing of tasks. Situation awareness and workload responses in complext tasks. Limitations of human factors experimentation. Factors in human multiple task performance. Cognitive task analysis and computational cognitave modeling/simulation of user behavior in specific applications.

ISE 747 Reliability Engineering 3.
Prerequisite: ST 511.

Introduction to basic concepts of reliability engineering. Application of probability and statistics to estimate reliability of industrial systems; development of reliability measures; analysis of static and dynamic reliability models; development and analysis of fault trees; analysis of Markovian and non-Markovian models; and optimization of reliability models.

ISE 748 Quality Engineering 3.
Prerequisite: OR 501, ST 511.

Introduction to basic concepts of quality engineering. Statistical process control (SPC) methods, acceptance sampling techniques, concept of parameter design and statistical as well as analytical techniques for its implementation, tolerance analysisand design, components of cost of poor quality and an introduction to quality management.

ISE 754 Logistics Engineering 3.
Prerequisite: ISE 453.

Elements of logistics networks. Supply chain design: facility location and allocation; great-circle distances; geocoding. Multi-echelon production and inventory systems; sourcing decision systems. Vehicle routing: exact, approximation, and heuristic procedures; traveling salesman problem; basic vehicle routing problem and extensions; backhauling; mixed-mode transportation system design.

ISE 760 Applied Stochastic Models in Industrial Engineering 3.
Prerequisite: MA 303, ST 371.

Formulation and analysis of stochastic models with particular emphasis on applications in industrial engineering; univariate, multivariate and conditional probability distributions; unconditional and conditional expectations; elements of stochastic processes; moment-generating functions; concepts of stochastic convergence; limit theorems; homogeneous, nonhomogeneous and compound Poisson processes; basic renewal theory; transient and steady-state properties of Markov processes in discrete and continuous time.

ISE 761 Queues and Stochastic Service Systems 3.
Prerequisite: MA 421.

Introduction of general concepts of stochastic processes. Poisson processes, Markov processes and renewal theory. Usage of these in analysis of queues, from with a completely memoryless queue to one with general parameters. Applications to many engineering problems.

ISE 762 Computer Simulation Techniques 3.
Prerequisite: ST 512 and a scientific programming language.

Basic discrete event simulation methodology: random number generators, simulation designs, validation, analysis of simulation output. Applications to various areas of scientific modeling. Simulation language such as SLAM and GPSS. Computer assignments and projects.

ISE 766 Network Flows 3.

Study of problems of flows in networks. These problems include the determination of shortest chain, maximal flow and minimal cost flow in networks. Relationship between network flows and linear programming developed as well as problems with nonlinear cost functions, multi-commodity flows and problem of network synthesis.

ISE 767 Upper Extremity Biomechanics 3.

Gross and functional anatomy of upper extremity; properties of tendons and synovial fluid; epidemiology; disorders of shoulder, elbow, wrist, hands, fingers; biomechanical modeling; personal factors affecting cumulative trauma disorder (CTD) risk, diagnosis and treatment of upper extremity CTDs; wrist splints; workplace ergonomics to alleviate upper extremity CTDs.

ISE 768 Spine Biomechanics 3.

Gross and fine anatomy of spine, mechanism of pain, epidemiology, in vitro testing, psychophysical studies, spine stability models, bioinstrumentation: intradiscal pressure, intra-abdominal pressure and electromyography. Biomechanics of lifting and twisting, effects of vibration, effects of posture/lifting style, lifting belts, physical models, optimization models, mathematical models, muscle models, finite element models, current trends in medical management and rehabilitation, chiropractic.

ISE 772 Stochastic Simulation Design and Analysis 3.
Prerequisite: (CSC,ECE,IE,OR) 762 and ST 516.

Advanced topics in stochastic system simulation, including random variate generation, output estimation for stationary and non-stationary models, performance optimization techniques, variance reduction approaches. Student application of these techniques to actual simulations. A current topic research paper required.

ISE 789 Advanced Special Topics In Industrial Engineering 3-6.

Advanced topics in some phase of industrial engineering using traditional course format. Identification of various specific topics and prerequisites for each section from term to term.

ISE 790 Advanced Special Topics System Optimization 1-6.

Advanced topics in some phase of system optimization using traditional course format. Identification of various specific topics and prerequisites for each section from term to term.

ISE 794 Advanced Problems in Ergonomics 3.

Exploration in depth of a problem area of contemporary interest involving man-machine-environment interface. Class discussion and analysis of research and theory, with special focus on human factors aspects of systems design and operation.

ISE 796 Research Practicum in Occupational Biomechanics 3.

Biomechanics research topic development, literature evaluation, experimental design, use of bioinstrumentation, data collection, basic data interpretation, statistical analysis, manuscript preparation.

ISE 801 Seminar 1.

Seminar discussion of industrial engineering problems for graduate students. Case analyses and reports.

ISE 812 Special Topics in Mathematical Programming 1-6.
Prerequisite: IE(MA,OR) 505.

Study of special advanced topics in area of mathematical programming. Discussion of new techniques and current research in this area. The faculty responsible for this course select areas to be covered during semester according to their preference and interest. This course not necessarily taught by an individual faculty member but can, on occasion, be joint effort of several faculty members from this university as well as visiting faculty from other institutions. To date, a course of Theory of Networks and another on Integer Programming offered under the umbrella of this course. Anticipation that these two topics will be repeated in future together with other topics.

ISE 816 Advanced Special Topics Sys Opt 1-6.

Advanced topics in some phase of system optimization. Identification of various specific topics and prerequisite for each section from term to term.

ISE 837 Directed Study in Industrial Engineering 1-3.

Independent study providing opportunity for individual students to explore topics of special interest under direction of a member of faculty.

ISE 839 Advanced Directed Study in Industrial Engineering 1-3.

Independent study providing an opportunity for individual graduate students to explore advanced topics of special interest under the direction of a member of the faculty.

ISE 861 The Design of Production Systems 3.

The structure and operation of production planning, scheduling and control systems; emphasis on system structure, capacity planning, master production scheduling, shop loading and supply chain; investigation of current trends.

ISE 877 Industrial Engineering Projects 1-6.
Prerequisite: MIE candidates.

Investigation and written report on assigned problems germane to industrial engineering. Maximum of six credits to be earned for MIE degree.

ISE 885 Doctoral Supervised Teaching 1-3.
Prerequisite: Doctoral student.

Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment.

ISE 890 Doctoral Preliminary Examination 1-9.
Prerequisite: Doctoral student.

For students who are preparing for and taking written and/or oral preliminary exams.

ISE 893 Doctoral Supervised Research 1-9.
Prerequisite: Doctoral student.

Instruction in research and research under the mentorship of a member of the Graduate Faculty.

ISE 895 Doctoral Dissertation Research 1-9.
Prerequisite: Doctoral student.

Dissertation Research.

ISE 896 Summer Dissertation Research 1.
Prerequisite: Doctoral student.

For graduate students whose programs of work specify no formal course work during a summer session and who will be devoting full time to thesis research.

ISE 899 Doctoral Dissertation Preparation 1-9.
Prerequisite: Doctoral student.

For students who have completed all credit hour requirements, full-time enrollment, preliminary examination, and residency requirements for the doctoral degree, and are writing and defending their dissertations.