Course Descriptions

Undergraduate Courses

210. Fundamentals of Industrial Engineering Design. (3-3). Credit 4. I, II

Engineering design for product development, problem definition and need identification, information gathering and concept generation, decision making and concept selection; industrial engineering concepts including design for manufacturing, assembly, sustainability and environment; economic decision making and cost evaluation; risk, reliability and safety; quality; robust design and optimization.

Prerequisite: ENGR 112.

230. Informatics for Industrial Engineers.(3-0). Credit 3. I, II

Structured programming concepts for implementing mathematical and statistical models in industrial engineering problems; emphasis on introductory production and service system problems and computer-based approaches to solve the problems; engineering applications of probability and statistics concepts.

Prerequisite: CSCE 206 or CSCE 11 or CSEC 121 or equivalent. Corequisites: STAT 211.

310. Uncertainty Modeling for Industrial Engineering. (3-0). Credit 3. III

Models and methods based on probability and statistics for industrial engineering applications; random variables, expectation, distribution fitting, reliability of systems, central limit theorem and interval estimates in the context of production and service systems.

Prerequisite: ISEN 230 and STAT 211.

320. Operations Research I. (3-0). Credit 3. I, II,

Development and application of fundamental deterministic optimization models and solution methods; focus on quantitative modeling and formulation of linear, integer, and network flow problems; use of computer optimization software to model and solve real-life problems.

Prerequisite: MATH 304 or equivalent.

330. Human Systems Interaction. (3-0). Credit 3. I, II

Principles of human factors and ergonomics; emphasis on design to support human capabilities, limitations, and interaction tendencies in sociotechnical work systems; topics include human information processing, physiological and biomechanical functioning, and implications for design of the workplace and jobs; case studies in manufacturing, medicine, aerospace, ground transportation, and computer interaction.

Prerequisite: MMET 181, Junior Classification

340. Operations Research II. (3-0). Credit 3. I, II

Probabilistic methods for industrial and service systems; stochastic processes used in industrial engineering, including Poisson processes and discrete and continuous-time Markov chains; applications to production operations, inventory control, revenue management, quality control, reliability, digital simulation and finance.

Prerequisite: MATH 304 and ISEN 310.

350. Quality Engineering. (3-0). Credit 3. I, II

Strategic approach to implementing quality, process and business improvement methods using data analysis tools; total quality management and six sigma approaches to define, measure, analyze, improve and control processes; principles of lean engineering; control charts; process capability analysis; basic metrology, applied statistics, lean principles and process capability..

Prerequisite: ISEN 310 and ISEN 230.

355. System Simulation. (3-0). Credit 3. I, II

Systems simulation structure, logic and methodologies; development of simulation models; data handling methods; analysis of simulation data; verification and validation; system simulation languages, models and analysis; applications to industrial situations.

Prerequisite: ISEN 230 and ISEN 310.

370. Production Systems Engineering. (3-0). Credit 3. I, II

Principles, models, and techniques for planning and analysis of production and distribution systems; application of linear, integer, and nonlinear optimization models and solution methods for aggregate planning, supply chain planning, push (MRP) and pull (JIT) material flow management, inventory control under deterministic and stochastic demands, operations scheduling, and production scheduling.

Prerequisite: ISEN 230 and ISEN 320.

405. Facilities Design and Material Handling. (3-0). Credit 3.

Principles of facilities location, layout and material handling systems and to practice designing facilities; modeling, design, and analysis techniques; methodologies in facilities location, layout, and material handling; integration of ergonomics analysis techniques and their implications on design, layout safety and quality.

Prerequisite: ISEN 210, ISEN 320; junior or senior classification.

413. Advanced Data Analytics for Industry. (3-0). Credit 3.

Data mining; linear discriminant analysis (LDA), principal component analysis (PCA) and other methods; classification, clustering and mining, information extraction; dealing with uncertainty, Bayesian inference; neural models, regression and feature selection.

Prerequisite: ISEN 310 and ISEN 350; junior or senior classification.

414. Total Quality Engineering. (3-0). Credit 3.

Principles of total quality engineering; total quality management philosophy, engineering approaches for designing quality into products and processes; off-line experimentation methods for the robust design; emphasis on teamwork and continuous quality improvement.

Prerequisite: STAT 211 and ISEN 350; junior or senior classification.

425. Design and Analysis of Industrial Systems with Simulation. (3-0). Credit 3.

In-depth study into the design-modeling and subsequent analysis of contemporary production/service systems; factory/service systems are modeled using the ARENA/SIMAN V simulation-animation language; emphasis is placed on the critical analysis of alternative flow designs of modeled systems using flow and economic parameters to assess system improvement.

Prerequisite: ISEN 210 and ISEN 355.

440. Systems Thinking. (3-0). Credit 3.

Systems thinking process, systems of systems and the fundamental considerations associated with the engineering of large-scale systems, or systems engineering including systems modeling, design and the system development process.

Prerequisite: MATH 304 or approval of instructor; junior or senior classification.

442. Organizational Systems. (3-0). Credit 3.

Role of people and organizations in the design and development of complex engineered systems; providing engineers with the skills needed to effectively manage large-scale system development programs.

Prerequisite: ISEN 330; junior or senior classification.

450. Healthcare Systems Engineering. (3-0). Credit 3.

Explores components of healthcare system, existing problems in healthcare systems; need for engineering to analyze healthcare system problems; application of industrial engineering tools in improving healthcare system; role of industrial engineering in addressing healthcare policy issues.

Prerequisite: ISEN 320, ISEN 350, ISEN 355, or approval of instructor; junior or senior classification.

453. Manufacturing Operations. (3-0). Credit 3.

Analytical principles of manufacturing systems design, analysis and control; emphasis placed on stochastic analysis; role of variability and impact on cycle time; push versus pull production strategies including Kanban and constant WIP control; probability, queuing theory, Little's Law, heavy traffic approximations, and queuing networks.

Prerequisite: ISEN 340; junior or senior classification.

460. Capstone Senior Design. (3-0). Credit 3. I, II

Engineering design including identification of a problem; development, analysis and evaluation of alternative solutions; and recommendations for and, where possible, development of systems improvement tools; application of experience and training to provide a product or solution that helps company clients; balancing client needs with academic requirements

Prerequisite: ISEN 340, ISEN 350, ISEN 355 and ISEN 370

489. Special Topics in Numerical Methods in Industrial and Systems Engineering (3-0). Credit 3.

This is an introductory course to the theory and applications of vector, matrix and other numerical methods to systems problems.

Prerequisite: MATH 251 and MATH 304, or Approval of Instructor.

489. Special Topics in Occupational Biomechanics. (3-0). Credit 3.

Provide an understanding of the mechanical behavior of the human musculoskeletal system and component tissues when physical work is performed. Teach fundamental biomechanical concepts, principles, tools, and methods for the measurement of human physical attributes, and evaluation of human mechanical capabilities, and modeling of human musculoskeletal system (or components thereof).

Prerequisite: ISEN 330.

489. Special Topics in Optimization Algorithms. (3-0). Credit 3.

Quantitative solution of optimization problems using methodologies and algorithms including: branch and bound, and other IP techniques, network flow algorithms, dynamic programming, and nonlinear optimization algorithms.

Prerequisite: ISEN 320.


Graduate Courses

601. Location Logistics of Industrial Facilities. (3-0). Credit 3.

Selection of the optimal locations of industrial plants and distribution centers through analytical modeling of the costs of inventory storage, transportation, utilities, labor supply and other cost components.

Prerequisites: ISEN 620 or approval of instructor.

602. Applications of Random Processes. (3-0). Credit 3.

Introduction to probability and random processes as a basis for studying topics in industrial engineering and operations research.

Prerequisites: ISEN 609; STAT 212 or 601.

603. Advanced Logistics. (3-0). Credit 3.

Topics in logistics including measures of logistical systems performance, facilities location allocation, production/distribution system design, transportation network design, vehicle routing; emphasis on mathematical modeling based on large scale integer programs and solution approaches for general network design problems.

Prerequisites: ISEN 601, 622, 623, 668 or approval of instructor.

604. Competing on Information Flows in Supply Chains. (3-0). Credit 3.

Review, evaluate, and contribute to the existing knowledge base regarding the management of information flows from automatic identification systems such as RFID.

Prerequisites: ISEN 615 and PhD students or Masters students with a thesis degree plan or approval of instructor.

605. Material Handling Systems. (3-0). Credit 3.

Analysis and design of integrated material handling systems; automatic storage and retrieval of unit loads, and identifying and establishing boundary conditions on key parameters required to specify the desired system required for equipment vendors to design appropriate hardware.

Prerequisites: ISEN 420; ISEN 416

608. Industrial Case Analysis. (3-0). Credit 3.

Practice in applications of principles to the solution of actual case problems involving broad management decisions.

Prerequisite: Approval of instructor.

609. Probability for Engineering Decisions. (3-0). Credit 3.

Introduction to probability and stochastic processes for characterization of uncertainty in engineering decisions.

Prerequisite: Approval of instructor.

611. Foundations of Technology Evaluation and Assessment. (3-0). Credit 3.

Quantifying gambles arising in engineering activities associated with the design, deployment, and operations of technology; analytical foundations of technology evaluation and assessment from an engineering perspective; focus on examination of probability models supporting quantification of value and risk.

Prerequisites: Approval of instructor.

612. Design by Reliability. (3-0). Credit 3.

Quantitative reliability analysis in engineering design. Reliability methods applicable to risk based design, component reliability and degradation, static and dynamic system reliability modeling and analysis, life testing, stress/strength analysis, and fault tree analysis.

Prerequisites:  Approval of instructor.

613. Engineering Data Analysis. (3-0). Credit 3.

Selected topics in probability and data analysis for quality in engineering problems; measurement principles, data collection and data analysis to solve quality engineering problems. Introduction to courses in the assurance sciences-reliability, maintainability, quality control and robust design

614. Advanced Quality Control. (3-0). Credit 3.

Advanced methods applied to quality control and anomaly detection; classical treatments and recent developments in statistical process control; evaluation, design and maintenance of quality control programs; focus on monitoring and root cause identification.

Prerequisite: STAT 212.

615. Production and Inventory Control. (3-0). Credit 3.

Model development for inventory management and for production planning; production control models for line balancing, lot sizing, dispatching, scheduling, releasing, kitting, MRP and just-in-time with treatment of flexible manufacturing and assembly.

Prerequisites: Approval of instructor.

616. Design and Analysis of Industrial Experiments. (3-0). Credit 3.

Fundamental theory, concepts and procedures required for industrial experimental design, statistical data analysis, and model building, with emphasis on engineering formulations and applications. One-factor experiments with and without restrictions on randomization, treatment comparison procedures, Latin and other squares, factorial experiments, full and fractional two-level factorial experiments, blocking in factorial designs, response surface methodologies and introduction to Taguchi methods.

Prerequisite: STAT 212.

617. Quantitative Models for Supply Chain Coordination. (3-0). Credit 3.

Concepts, complexities, and models pertaining to supply chain management and relate these to recent practical initiatives; includes channel coordination models, supply chain contracting, and vendor-managed, inventory models.

Prerequisites: ISEN 615, 623, and 609 or STAT 615 or approval of instructor

618. Stochastic Processes in the Assurance Sciences. (3-0). Credit 3.

Stochastic processes necessary to deal with advanced problems in reliability, maintainability and other related areas.

Prerequisite: ISEN 602.

619. Analysis and Prediction. (3-0). Credit 3.

Data-mining methods and data-driven models; statistical model building and parameter estimation for Markov processes; sampling of dynamic systems with random disturbances; on-line identification algorithms; design of time-series control charts for process monitoring; multivariate analysis; applications using real data.

Prerequisite: ISEN 613.

620. Survey of Optimization (3-0). Credit 3.

Theory and numerical methods for deterministic linear and nonlinear optimization; topics include linear programming, unconstrained-nonlinear optimization, constrained nonlinear optimization, Lagrange and K-K-T conditions, and numerical algorithms.

Prerequisite: MATH 304 or MATH 311.

621. Heuristic Optimization. (3-0). Credit 3.

Focus on heuristic optimization methods that search beyond local optima; includes neighborhood search methods and advanced search strategies such as genetic algorithms, simulated annealing, neural networks, tabu search, and greedy randomized adaptive search procedures.

Prerequisites: ISEN 620 or 622 or approval of instructor.

622. Linear Programming. (3-0). Credit 3.

Development of the mathematics and algorithms associated with linear programming; convex sets and cones, polyhedral sets, duality theory, sensitivity analysis, simplex, revised simplex and dual simplex methods; also covered are bounded variables, column generation, decomposition, integer programming; computer assignment.

Prerequisite: MATH 304.

623. Nonlinear and Dynamic Programming. (3-0). Credit 3.

Understanding of algorithms for nonlinear optimization; development of optimality conditions and different types of algorithms for unconstrained and constrained problems; formulation and solution of many types of discrete dynamic programming problems.

Prerequisite: MATH 304.

624. Applied Distribution and Queueing Theory. (3-0). Credit 3.

Queueing theory and its applications; single and multiple channels, priorities, balking, batch arrivals and service, and selected non-Markovian topics.

Prerequisite: ISEN 609 or ECEN 646.

625. Simulation Methods and Applications. (2-3). Credit 3.

Fundamental methodologies of simulation modeling; random number and variate generation, statistical analysis of model output, and discrete event modeling using a commercial simulation language.

Prerequisite: STAT 212.

626. Model Building and Applications of Operations Research. (3-0). Credit 3.

Problem-solving environment exposing students to a variety of unstructured problems in operations research requiring organization, formulation and solving an appropriate model. Selection and use of an efficient technique. Computer solution procedures. Selected readings in current literature.

Prerequisite: Approval of instructor. Course Descriptions/Industrial and Systems Engineering 431

627. Engineering Analysis for Decision Making. (3-0). Credit 3.

Principles and application of techniques in analysis of decision processes involving engineering systems under uncertainty. Areas of utility and information theory as related to quantification of information for decision-making.

Prerequisites: Approval of instructor.

628. Combinatorial Optimization. (3-0). Credit 3.

Formulation techniques are studied along with general approaches for solving integer and combinatorial optimization problems: basic polydedral theory, cutting planes, branch and bound, matroids and theoretical background behind network optimization problems including the traveling salesman problem.

Prerequisite: ISEN 620 or 622.

629. Engineering Optimization. (3-0). Credit 3.

Develops a modern framework for studying nonlinear programming problems using convex analysis; convex sets and cones, separating hyperplanes, sub-differentiability, conjugate transforms, duality theory and parametric analysis; applications of the principles and methods will be studied.

Prerequisite: ISEN 623; corequisite: MATH 409.

630. Human Operator in Complex Systems. (3-0). Credit 3.

Basic understanding of the theory and practice of human factors engineering. Topics are presented within the framework of humans as functioning systems and their requirements when incorporated in hardware and software systems.

635. Human Information Processing. (3-0). Credit 3.

Perceptual and cognitive issues as related to the design of man-machine systems; perception, central processes, decision making and other performance aspects of the human component as an information processor.

Prerequisite: ISEN 430 or approval of instructor.

636. Large-Scale Stochastic Optimization. (3-0). Credit 3.

Introduction to models, theory and computational methods for large-scale stochastic optimization including decomposition-coordination algorithms for stochastic programming such as generalized Benders decomposition and resource-price directive methods; emphasis on practical algorithm implementation and computational experimentation.

Prerequisites: ISEN 620 or 622, STAT 610 and CSCE 602 or approval of instructor.

637. Stochastic Dynamic Programming. (3-0). Credit 3.

Methodologies for stage-wise stochastic-decision processes; includes finite-horizon models, infinite-horizon discounted total cost models, and average cost models; applications of methods to various situations.

Prerequisites: ISEN 609 and ISEN 622, or approval of the instructor.

638. Polyhedral Theory and Valid Inequalities. (3-0). Credit 3.

Advanced knowledge of polyhedral theory and valid inequalities for (mixed) integer programming; introduction to fundamental concepts in polyhedral theory and several approaches to generation of valid inequalities; includes state-of-the-art advancements and current avenues of research.

Prerequisite: ISEN 668.

639. Methods Improvement for Construction Engineers. (3-0). Credit 3.

Application of work methods and measurements to civil engineering construction; examination of factors that affect productivity in construction; study of motivational factors; review of the principles of accident prevention.

Prerequisites: CVEN 405 and 473 or approval of instructor. Cross-listed with CVEN 639.

640. Systems Thinking and Analysis (3-0). Credit 3.

Introduction to the systems thinking process and the fundamental considerations associated with the engineering of large-scale systems, or systems engineering.

Prerequisite: MATH 304 or approval of instructor.

641. Systems Engineering Methods and Frameworks. (3-0). Credit 3.

Concepts, methodology, methods and tools for discovery, definition, analysis, design, creation, and sustainment of systems involving information, physical, and human elements; architecture modeling methods include IDEF/UPDM; systems engineering frameworks include DoDAF/MoDAF, and Zachman; analysis tools include executable architectures to assess consistency, interoperability and performance.

Prerequisites: MATH 304 or approval of instructor.

642. Engineering Project Control. (3-0). Credit 3.

Project controls bridge from information-based to physical based development processes; includes detailed design, testing of designs, design realization, and preparation of facilities for steady state operations; application of basic project control theories, tools, and methods to development projects.

Prerequisite: Graduate classification in civil engineering or industrial and systems engineering or approval of instructor. Cross-listed with CVEN 717.

643. Strategic Construction and Engineering Management. (3-0). Credit 3.

Strategic and systems perspectives applied to construction and engineering management projects, organizations, and industries; system dynamics methodology to model construction and engineering systems; understanding drivers of performance; feedback and high leverage points for performance improvement.

Prerequisite: Graduate classification or approval of instructor. Cross-listed with CVEN 654.

644. Project Risk Management. (3-0). Credit 3.

Identifies causes of risks in projects; discusses probabilistic description of risks and formulation of risk models; Bayesian methods for revising probabilities; qualitative and quantitative risk assessment; setting contingencies on budgets and schedules; risk mitigation and risk management; handling technological risk; Utility theory and game theory in management of risks.

Prerequisite(s): STAT 601 or equivalent; graduate status in Engineering, approval of instructor. Cross-listed with: CVEN 644.

645. Lean Thinking and Lean Manufacturing. (3-0). Credit 3.

Introduces the principles of lean thinking in modern manufacturing systems; philosophical, managerial and organizational requirements studied; lean manufacturing quantitative modeling methodologies, lean manufacturing cell design and case study analysis.

Prerequisites: ISEN 609 or approval of instructor.

654. Manufacturing Systems Planning and Analysis. (3-0). Credit 3.

The systems perspective of a computer integrated manufacturing system; manufacturing and its various levels and the planning and control of product movement through the production system in the context of using realtime control, multiprocessor systems, network architectures and databases.

Prerequisite: ISEN 420. Cross-listed with MEEN 648.

655. Control Issues in Computer Integrated Manufacturing. (3-0). Credit 3.

Examines the nature of computer aided manufacturing systems with emphasis on control; an architecture for control of CAM systems is presented; control issues, problems and procedures to control CAM systems are studied and developed.

Prerequisite: Approval of instructor. Cross-listed with MEEN 650.

656. Virtual Manufacturing. (3-0). Credit 3.

Focus on principles of virtual reality and 3-D graphics and their application in manufacturing, automation and simulation; virtual reality modeling, motion, collision detection and networking issues studied and developed.

Prerequisite: Approval of instructor.

659. Modeling and Analysis of Manufacturing Systems. (3-0). Credit 3.

Analytical models applied to the description, design operation and control of manufacturing processes and systems; includes serial assembly, job shops, FMS and cellular manufacturing configurations.

Prerequisites: Approval of instructor.

660. Quantitative Risk Analysis. (3-0). Credit 3.

Fundamental concepts, techniques, and applications of quantitative risk analysis and risk-informed decision making for students in all engineering fields. Practical uses of probabilistic methods are demonstrated in exercises and case studies from diverse engineering areas.

Prerequisites: Graduate or Senior status. Cross-listed with CHEN 660 and SENG 660.

661. Network-Based Planning and Scheduling Systems. (3-0). Credit 3.

Fundamental theory, mathematical modeling, and algorithms of network flow models including shortest path models maximum flow and cost minimization models; out-of-kilter algorithm; pure and generalized network specializations of the primal simplex method; introduction to multi-commodity networks.

Prerequisite: ISEN 620 or 622.

662. Production Economics. (3-0). Credit 3.

Develop an understanding of the analytical and empirical techniques required to conduct an analysis of the magnitude and the sources of productivity change; programming and regression approaches to analyze industries include manufacturing, energy, and service systems.

Prerequisites: ISEN 303 and ISEN 620 or approval of instructor.

663. Engineering Management Control Systems. (3-0). Credit 3.

Integration of human relations, planning and control concepts, systems analysis and design, and principles of management oriented toward engineering functions within an organization; organizational design and administration as they impact along the product life cycle, i.e., research, design, development, production and use.

664. Principles of Scheduling. (3-0). Credit 3.

Scheduling and sequencing for production, assembly, supply chain, logistics and service operations; relevant solution methods including algebraic, branch and bound, Lagrangian relaxation, facet generation, branch and price, heuristics and simulation; computational complexity issues.

Prerequisite: ISEN 620 or 622 or approval of instructor.

667. Engineering Economy. (3-0). Credit 3.

Fundamental concepts and advanced techniques of engineering economic analysis; evaluation of alternative capital investments considering income taxes, depreciation and inflation; discounted cash flow analysis of competing projects, break-even analysis and determination of rate of return on investment. Risk and uncertainty in engineering analysis.

Prerequisite: ISEN 303 or approval of instructor.

668. Integer Programming. (3-0). Credit 3.

Formulation principles and general approaches for solving integer (and mixed, integer linear) programs including preprocessing, cutting plane methods, branch and bound, branch and cut, branch and price, and Lagrange relaxation; classical problem structures with special-purpose solution algorithms; fundamental theory of polyhedra, methods to generate valid inequalities and computational complexity.

Prerequisite: ISEN 620 or 622. Course Descriptions/Department of Information and Operations Management 433

669. Software Tools for Stochastic Decision Support Analysis (3-0). Credit 3.

Overview of stochastic decision analysis; focus on Palisade Corporation’s Decision Tools Suite of Excel add-in macros; topics include sensitivity analysis of Excel models, decision tree construction and analysis, and simulation within Excel.

Prerequisite: STAT 630 or equivalent and ISEN 667.

681. Seminar. (1-0). Credit 1.

Opportunity to present research in a professional atmosphere. Presentations are not restricted to thesis or problem research. Acquaints the student with departmental research activities and procedures in documenting research.

684. Professional Internship. Credit 1 or more each semester.

On-the-job training under supervision of practicing engineers in settings appropriate to professional objectives.

Prerequisite: Approval of committee chair and department head.

685. Directed Studies. Credit 1 to 12 each semester.

Special topics not within scope of thesis research and not covered by other formal courses.

Prerequisite: Graduate classification in industrial engineering.

689. Special Topics in… Credit 1 to 4.

Selected topics in an identified area of industrial engineering. May be repeated for credit.

Prerequisite: Approval of instructor.

691. Research. Credit 1 or more each semester.

Research in industrial engineering field; content and credit dependent upon needs of individual student.

692. Professional Study. Credit 1 to 9.

Approved professional study or project. May be taken more than once, but not to exceed 4 hours of credit toward a degree. Must be taken on a satisfactory/unsatisfactory basis.

Prerequisite: Approval of instructor.