Dwight Look College of Engineering, Texas A&M University
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COURSE DESCRIPTIONS

(For some courses, the most likely semester in which the course may be taught is given in parenthesis. The final schedule depends on faculty availability and student demand.)

 
ISEN 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.
ISEN 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.  
ISEN 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.
ISEN 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.
ISEN 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
ISEN 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.
ISEN 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.
ISEN 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: ISEN 609 or approval of instructor.
ISEN 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: ISEN 609; STAT 414.
ISEN 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
ISEN 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 or 601.
ISEN 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: ISEN 620; ISEN 609.
ISEN 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 or 601.
ISEN 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
ISEN 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.
ISEN 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 609.
ISEN 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.
ISEN 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.

ISEN 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.
ISEN 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.

ISEN 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.
ISEN 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 or 601.

ISEN 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
ISEN 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: ISEN 609; STAT 601 or approval of instructor.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.  
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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, jobshops, FMS and cellular manufacturing configurations. Prerequisites: ISEN 609.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 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.
ISEN 691 Research. Credit 1 or more each semester. Research in industrial engineering field; content and credit dependent upon needs of individual student.
ISEN 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.