Courses

Page Updated July 2013

*Please note: Beginning in the Fall 2013 semester, courses will be changed from IE to ISE.*

Undergraduate level coursesMasters level coursesPh.D. level coursesCourse Descriptions100 Level200 Level300 Level400 Level

Undergraduate Courses

ISE 100. Industrial Employment (0)
ISE 111. Engineering Probability and Statistics (3) fall and spring
ISE 112. Computer Graphics (1) fall
ISE 121. Applied Engineering Statistics (3) spring
ISE 122. Software Tools (1) spring
ISE 131. Work Systems and Operations Management(3) spring
ISE 132. Work Systems Laboratory (1) spring
ISE 154. Senior Project (3) fall and spring
ISE 155. Senior Thesis I (3)
ISE 156. Senior Thesis II (3)
ISE 168. Production Analysis (3) spring
ISE 172. Algorithms in Systems Engineering (4)
ISE 185. ISELP Honors Seminar (1)
ISE 215. Fundamentals of Modern Manufacturing (3) fall
ISE 216. Manufacturing Laboratory (1) fall
ISE 230. Introduction to Stochastic Models in Operations Research (3)
ISE 240. Introduction to Deterministic Optimization Models in Operations Research (3)
ISE 224. Information Systems Analysis and Design (3) spring
ISE 226. Engineering Economy and Decision Analysis (3) spring
ISE 251. Production and Inventory Control (3) fall
ISE 275. Fundamentals of Web Applications (3)
ISE 281. Leadership Project (1-3)
ISE 305. Simulation (3)
ISE 316. Optimization Models and Applications (3)
ISE 319. Facilities Planning and Material Handling (3)
ISE 321. Experimental Industrial Engineering (1-3)
ISE 324. Industrial Automation and Robotics (3)
ISE 328. Engineering Statistics (3)
ISE 332. Product Quality (3)
ISE 334. Organizational Planning and Control (3) fall
ISE 339. Stochastic Models and Applications (3)
ISE 340. Production Engineering (3) fall
ISE 341. Data Communication Systems Analysis and Design (3)
ISE 344. (MAT 344/ME 344) Metal Machining Analysis (3) spring
ISE 345. Manufacturing Information Systems (3)
ISE 355. Optimization Algorithms and Software (3)
ISE 356. Introduction to Systems Engineering and Decision Analysis (3)
ISE 358. (ECO 358). Game Theory (3)
ISE 362. (MSE 362). Logistics and Supply Chain Management (3)
ISE 372. Systems Engineering Design (3)
ISE 382. Leadership Development (3) spring
ISE 385. ISELP Honors Project Seminar (1)

Masters Courses

ISE 305. Simulation (3)
ISE 319. Facilities Planning and Material Handling (3)
ISE 321. Independent Study in Industrial & Systems Engineering (1-3)
ISE 324. Industrial Automation and Robotics (3)
ISE 328. Engineering Statistics (3)
ISE 332. Product Quality (3)
ISE 334. Organizational Planning and Control (3) fall
ISE 340. Production Engineering (3) fall
ISE 341. Data Communication Systems Analysis and Design (3)
ISE 344. (MAT 344/ME 344) Metal Machining Analysis (3) spring
ISE 345. Manufacturing Information Systems (3)
ISE 355. Optimization Algorithms and Software (3)
ISE 356. Introduction to Systems Engineering and Decision Analysis (3)
ISE 357 Introduction to Industrial Engineering Mathematics (3)
ISE 358. (ECO 358). Game Theory (3)
ISE 362. (MSE 362). Logistics and Supply Chain Management (3)
ISE 372. Systems Engineering Design (3)
ISE 385. ISELP Honors Project Seminar (1)
ISE 404. Simulation (3)
ISE 405. Special Topics in Industrial Engineering (3)
ISE 406.Introduction to Mathematical Optimization (3)
ISE 408. Management of Information Systems (3)
ISE 409. Time Series Analysis (3)
ISE 410. Design of Experiments (3)
ISE 411. Networks and Graphs (3)
ISE 412. Quantitative Models of Supply Chain Management (3)
ISE 413. Advanced Engineering Economy and Replacement Analysis (3)
ISE 414. Heuristic Methods in Combinatorial Optimization (3)
ISE 416. Dynamic Programming (3)
ISE 417. Nonlinear Programming (3)
ISE 418. Integer Programming (3)
ISE 419. Planning and Scheduling in Manufacturing and Services (3)
ISE 422. Measurement and Inspection Systems (3)
ISE 424. Robotic Systems and Applications (3)
ISE 425. Advanced Inventory Theory (3)
ISE 426. Optimization Models and Applications (3)
ISE 429. Stochastic Models and Applications (3)
ISE 430. Management Science Project (3)
ISE 431.Operations Research Special Topics (3)
ISE 433. Manufacturing Engineering Special Topics (3)
ISE 437. Advanced Database Analysis and Design (3)
ISE 438. Advanced Data Communication Systems Analysis and Design (3)
ISE 439. Queueing Systems (3)
ISE 441. Financial Engineering Projects (3)
ISE 442. Manufacturing Management (3)
ISE 443. (MSE 427) Automation and Production Systems (3)
ISE 444 Optimization Methods in Machine Learning (3)
ISE 445. Assembly Processes and Systems (3)
ISE 446. Discrete Event Dynamic Systems (3)
ISE 447. Financial Optimization(3)
ISE 448. Industrial Control Systems for Manufacturing (3)
ISE 449. Advanced Computer-Aided Manufacturing (3)
ISE 451. Intelligent Manufacturing Systems (3)
ISE 455. Optimization Algorithms and Software (3)
ISE 458 (ECO 463). Topics in Game Theory (3) (Cross listed course)
ISE 460. Engineering Project (1-3)
ISE 461. Readings (1-3)
ISE 470. Introduction to Healthcare Systems (3)
ISE 471. Quality and Process Improvement in Healthcare (3)
ISE 472. Financial Management in Healthcare (3)
ISE 473. Information Technology in Healthcare (3)
ISE 474. Healthcare Systems Engineering Capstone Project (3)
IE 475. Healthcare Systems Project (1-3)
ISE 490. Thesis (1-6)
ISE 499. Dissertation (1-15)

Ph.D. Courses

ISE 305. Simulation (3)
ISE 319. Facilities Planning and Material Handling (3)
ISE 321. Experimental Industrial Engineering (1-3)
ISE 324. Industrial Automation and Robotics (3)
ISE 328. Engineering Statistics (3)
ISE 332. Product Quality (3)
ISE 334. Organizational Planning and Control (3) fall
ISE 340. Production Engineering (3) fall
ISE 341. Data Communication Systems Analysis and Design (3)
ISE 342. Computer Integrated Manufacturing (3) spring
ISE 344. (MAT 344/ME 344) Metal Machining Analysis (3) spring
ISE 345. Manufacturing Information Systems (3)
ISE 355. Optimization Algorithms and Software (3)
ISE 356. Introduction to Systems Engineering and Decision Analysis (3)
ISE 358. (ECO 358). Game Theory (3)
ISE 362. (MSE 362). Logistics and Supply Chain Management (3)
ISE 372. Systems Engineering Design (3)
ISE 385. ISELP Honors Project Seminar (1)
ISE 404. Simulation (3)
ISE 405. Special Topics in Industrial Engineering (3)
ISE 406. Introduction to Mathematical Optimization (3)
ISE 408. Management of Information Systems (3)
ISE 409. Time Series Analysis (3)
ISE 410. Design of Experiments (3)
ISE 411. Networks and Graphs (3)
ISE 412. Quantitative Models of Supply Chain Management (3)
ISE 413. Advanced Engineering Economy and Replacement Analysis (3)
ISE 414. Heuristic Methods in Combinatorial Optimization (3)
ISE 416. Dynamic Programming (3)
ISE 417. Nonlinear Programming (3)
ISE 418. Integer Programming (3)
ISE 419. Planning and Scheduling in Manufacturing and Services (3)
ISE 422. Measurement and Inspection Systems (3)
ISE 424. Robotic Systems and Applications (3)
ISE 425. Advanced Inventory Theory (3)
ISE 426. Optimization Models and Applications (3)
ISE 429. Stochastic Models and Applications (3)
ISE 430. Management Science Project (3)
ISE 431. Operations Research Special Topics (3)
ISE 433. Manufacturing Engineering Special Topics (3)
ISE 437. Advanced Database Analysis and Design (3)
ISE 438. Advanced Data Communication Systems Analysis and Design (3)
ISE 439. Queueing Systems (3)
ISE 441. Financial Engineering Projects (3)
ISE 442. Manufacturing Management (3)
ISE 443. (MSE 427) Automation and Production Systems (3)
ISE 445. Assembly Processes and Systems (3)
ISE 446. Discrete Event Dynamic Systems (3)
ISE 447. Financial Optimization (3)
ISE 448. Industrial Control Systems for Manufacturing (3)
ISE 449. Advanced Computer-Aided Manufacturing (3)
ISE 451. Intelligent Manufacturing Systems (3)
ISE 458 (ECO 463). Topics in Game Theory (3) (Cross listed course)
ISE 460. Engineering Project (1-3)
ISE 461. Readings (1-3)
ISE 470. Introduction to Healthcare Systems (3)
ISE 471. Quality and Process Improvement in Healthcare (3)
ISE 472. Financial Management in Healthcare (3)
ISE 473. Information Technology in Healthcare (3)
ISE 474. Healthcare Systems Engineering Capstone Project (3)
ISE 475. Healthcare Systems Project (1-3)
ISE 490. Thesis (1-6)
ISE 499. Dissertation (1-15)

Course Descriptions

100 Level200 Level300 Level400 Level

100 Level

ISE 100. Industrial Employment (0)
Usually following the junior year, students in the industrial engineering curriculum are required to do a minimum of eight weeks of practical work, preferably in the field they plan to follow after graduation. A report is required. Prerequisite: Sophomore standing.

ISE 111. Engineering Probability and Statistics (3) fall and spring
Random variables, probability models and functions, and expected values. Statistical inference, estimation, hypothesis testing, and goodness of fit. Prerequisite: MATH 22.

ISE 112. Computer Graphics (1) fall
Introduction to interactive graphics and construction of multi-view representations in two- and three-dimensional space. Applications in industrial engineering. Prerequisites: Sophomore standing in industrial engineering, ENGR 1.

ISE 121. Applied Engineering Statistics (3) spring
The application of statistical techniques to solve industrial problems. Regression and correlation, analysis of variance, quality control, and reliability. Prerequisite: ISE 111 or MATH 231.

ISE 122. Software Tools (1) spring
Introduction to application software tools used to solve stochastic and deterministic problems. Problem design and solution will be drawn from ISE 220. Co-requisite: ISE 220.

ISE 131 Work Systems and Operations Management(3) spring
Worker-machine systems, work flow, assembly lines, logistics and service operations, and project management. Operations analysis, methods engineering, work measurement, lean production, and six sigma. Workplace ergonomics, plant layout design, and work management. Prerequisite: ISE 111 or equivalent, either previously or concurrently.

ISE 132. Work Systems Laboratory (1) spring
Laboratory exercises and projects in methods analysis, operations analysis, plant layout, and related topics. Co-requisite: ISE 131.

ISE 154. Senior Project (3) fall and spring
The use of industrial engineering techniques to solve a major problem in either a manufacturing or service environment. Problems are sufficiently broad to require the design of a system. Human factors in system design. Laboratory. Prerequisite: Senior standing in industrial engineering.

ISE 155. Senior Thesis I (3)
In depth study of a research topic in industrial engineering supervised by an ISE department faculty member. Requires completion of a formal research proposal and a public presentation of the proposal at the end of the semester. Prerequisite: Senior standing.

ISE 156. Senior Thesis II (3)
Continued in depth study of a research topic in industrial engineering supervised by an ISE department faculty member. Requires a formal thesis and public presentation of the results. ISE 156 can be substituted for ISE 154 in the ISE curriculum when taken in sequence after ISE 155. Prerequisite: ISE 155.

ISE 168. Production Analysis (3) spring
A course for students not majoring in industrial engineering. Engineering economy; application of quantitative methods to facilities analysis and planning, operations planning and control, work measurement, and scheduling. Prerequisites: MATH 21 or 51.

ISE 172. Algorithms in Systems Engineering (4) Spring
Use of computers to solve problems arising in systems engineering. Design and implementation of algorithms for systems modeling, systems design, systems analysis, and systems optimization. Computer systems, basic data structures, the design and implementation of efficient algorithms, and application of algorithms to the design and optimization of complex systems such as those arising in transportation, telecommunications, and manufacturing. Weekly laboratory with exercises and projects. Prerequisite: CSE 17 or CSE 18.

ISE 185. ISELP Honors Seminar (1)
Study of problem solving, principles of enterprise systems, and creative use of information technology in controlled environments. Emphasis on teamwork, self-knowledge, and communication skills. Department permission required. May be repeated for credit.

For Advanced Undergraduates and Graduate Students.

200 Level

ISE 215. Fundamentals of Modern Manufacturing (3) fall
Manufacturing processes and systems. Metal machining and forming, polymer shape processes, powder metallurgy, assembly and electronics manufacturing. Introduction to automation, numerical control and industrial robots. Prerequisite: MAT 33.

ISE 216. Manufacturing Laboratory (1) fall
Laboratory exercises and experiments in manufacturing processes and systems. pre-requisite or concurrent: ISE 215.

ISE 230. Introduction to Stochastic Models in Operations Research (3)
Formulating, analyzing, and solving mathematical models of real-world problems in systems exhibiting stochastic (random) behavior. Discrete and continuous Markov chains, queueing theory, inventory control, Markov decision process. Applications typically include traffic flow, call centers, communication networks, service systems, and supply chains. Prerequisites: ISE 111 or Math 231.

ISE 240. Introduction to Deterministic Optimization Models in Operations Research (3)
Formulating, analyzing, and solving mathematical models of real-world problems in systems design and operations. A focus on deterministic optimization models having parameters that are known and fixed. Algorithmic approaches for linear, integer, and nonlinear problems. Solving optimization problems utilizing specialized software. Prerequisite: Math 205 or consent of instructor

ISE 224. Information Systems Analysis and Design (3) spring
An introduction to the technological as well as methodological aspects of computer information systems. Content of the course stresses basic knowledge in database systems. Database design and evaluation, query languages and software implementation. Students that take CSE 241 cannot receive credit for this course.

ISE 226. Engineering Economy and Decision Analysis (3) spring
Economic analysis of engineering projects; interest rate factors, methods of evaluation, depreciation, replacement, break-even analysis, after-tax analysis. Decision-making under certainty and risk. Prerequisite: ISE 111 or MATH 231, either previously or concurrently.

ISE 251. Production and Inventory Control (3) fall
Techniques used in the planning and control of production and inventory systems. Forecasting, inventory models, operations planning, and scheduling. Prerequisites: ISE 121 and ISE 220.

ISE 275. Fundamentals of Web Applications (3)
Introduction to web technologies required to support the development of client side and server side components of Internet based applications. Students will be exposed to the problems of design, implementation, and management by way of assigned readings, class discussion, and project implementation. Term project. Prerequisites: either ISE 224 or CSE 241 previously or concurrently.

ISE 281. Leadership Project (1-3)
Application of leadership principles through team projects with industry. Written report required. (Prerequisite: ISE 382 or permission of instructor).

300 Level

ISE 305. Simulation (3)
Applications of discrete and continuous simulation techniques in modeling industrial systems. Simulation using a high-level simulation language. Design of simulation experiments. Prerequisites: ISE 121.

ISE 316. Optimization Models and Applications (3)
Modeling and analysis of operations research problems using techniques from mathematical programming. Linear programming, integer programming, multi-criteria optimization, stochastic programming, and nonlinear programming using an algebraic modeling language. Prerequisite: ISE 220 or equivalent.

ISE 319. Facilities Planning and Material Handling (3)
Facilities planning including plant layout design and facility location. Material handling analysis including transport systems, storage systems, utilizing equipment, and automatic identification and data capture. Prerequisite: ISE 131 or consent of department chair.

ISE 321. Independent Study in Industrial & Systems Engineering (1-3)
Experimental projects in selected fields of industrial engineering, approved by the instructor. A written report is required. May be repeated for academic credit. Department permission required.

ISE 324. Industrial Automation and Robotics (3)
Introduction to robotics technology and applications. Robot anatomy, controls, sensors, programming, work cell design, part handling, welding, and assembly. Laboratory exercises. Prerequisites: MECH 2, MATH 205.

ISE 328. Engineering Statistics (3)
Random variables, probability functions, expected values, statistical inference, hypothesis testing, regression and correlation, analysis of variance, introduction to design of experiments, and fundamentals of quality control. Prerequisite: MATH 23 or equivalent. This course cannot be taken by ISE undergraduates.

ISE 332. Product Quality (3)
Introduction to engineering methods for monitoring, control, and improvement of quality. Statistical models of quality measurements, statistical process control, acceptance sampling, and quality management principles. Some laboratory exercises. Prerequisite: ISE 121.

ISE 334. Organizational Planning and Control (3) fall
Design of organization and procedures for managing functions of industrial engineering. Analysis and design of resources planning and control, including introduction of change in man-machine systems; manpower management and wage administration. Prerequisite: Junior Standing.

ISE 339. Stochastic Models and Applications (3)
Introduction to stochastic process modeling and analysis techniques and applications. Generalizations of the Poisson process; renewal theory and applications to inventory theory, queueing, and reliability; Brownian motion and stationary processes. Prerequisite: ISE 220 or equivalent.

ISE 340. Production Engineering (3) fall
Development of process plans for manufacturing of discrete parts. Emphasis on machining processes planning and design manufacturing interface. Economic analysis of process design alternatives. Concurrent engineering topics. Introduction to mechanization, automation and flexible manufacturing systems. Fundamentals of group technology and cellular manufacturing Term project. Laboratory. Prerequisite: ISE 215.

ISE 341. Data Communication Systems Analysis and Design (3)
An introduction to the hardware as well as performance evaluation of data communication networks. Emphasis on data transmission, encoding, data link control, communication networking techniques, and queuing/simulation analysis of network performance. Prerequisite: ISE 224 and ISE 220 or equivalent.

ISE 344. (MAT 344/ME 344) Metal Machining Analysis (3) spring
Intensive study of metal cutting emphasizing forces, energy, temperature, tool materials, tool life, and surface integrity. Abrasive processes. Laboratory and project work. Prerequisite: ISE 215 or ME 240 or Mat 206.

ISE 345. Manufacturing Information Systems (3)
A study of contemporary Information Technology solutions used to support the manufacturing function from product concept and design through production planning, manufacture, and delivery. Emphasis will be placed on information exchange protocol standards used to improve the overall integration of manufacturing systems. Prerequisites: ISE 275.

ISE 355. Optimization Algorithms and Software (3)
Basic concepts of large families of optimization algorithms for both continuous and discrete optimization problems. Pros and cons of the various algorithms when applied to specific types of problems; information needed; whether local or global optimality can be expected. Participants practice with corresponding software tools to gain hands-on experience. Credit will not be given for both ISE 355 and ISE 455. Prerequisite: ISE 220 or consent of instructor.

ISE 356. Introduction to Systems Engineering and Decision Analysis (3)
Systems Engineering modeling techniques. Architectures for large scale systems design. Includes physical, functional, and operational architectures. Requirements engineering, interface and integration issues, graphical modeling techniques. Additional topics may include: decision analysis techniques for systems, uncertainty analysis, utility functions, multiattribute utility functions and analysis, influence diagrams, risk preference, Analytical Hierarchy and Node Processes in decision making. Prerequisites: ISE 220 or consent of the instructor

ISE 357. Introduction to Industrial Engineering Mathematics (3)
A review of linear algebra and an introduction to quantitative analysis, manipulation of matrices, core concepts associated with systems of linear equations and linear optimization, algebraic and geometric models. The credits for this course cannot be applied to any undergraduate or graduate degree offered by the Industrial & Systems Engineering Department or the Healthcare Systems Engineering master’s program. Credit will not be given for both ISE 357 and Math 205. Prerequisite: Departmental Approval.

ISE 358. (ECO 358). Game Theory (3)
A mathematical analysis of how people interact in strategic situations. Applications include strategic pricing, negotiations, voting, contracts and economic incentives, and environmental issues. Prerequisites: ECO 105 or 115 and MATH 21, 31 or 51.

ISE 362. (MSE 362). Logistics and Supply Chain Management (3)
Modeling and analysis of supply chain design, operations, and management. Analytical framework for logistics and supply chains, demand and supply planning, inventory control and warehouse management, transportation, logistics network design, supply chain coordination, and financial factors. Students complete case studies and a comprehensive final project. Prerequisite: ISE 220 and ISE 251 or equivalents, or instructor approval.

ISE 372. Systems Engineering Design (3)
Analysis, design, and implementation of solutions to problems in manufacturing and service sectors using information technology. Emphasis on problem identification and the evaluation of proposed solutions and implementations. Term Project. Prerequisites: ISE 220, 275.

ISE 382. Leadership Development (3) Spring
Exploration and critical analysis of theories, principles, and processes of effective leadership. Managing diverse teams, communication, and ethics associated with leadership. Application of knowledge to personal and professional life through projects and team assignments. (Junior or Senior)

ISE 385. ISELP Honors Project Seminar (1)
Application of problem solving to real enterprise systems projects. Emphasis on leadership, teamwork, design, and communication skills. Requires a written honors project report. Department permission required. Senior standing. May be repeated for credit.

400 Level

ISE 404. Simulation (3)
Applications of discrete and continuous simulation techniques in modeling industrial systems. Simulation using a high-level simulation language. Design of simulation experiments. This course is a version of ISE 305 for graduate students, with research projects and advanced assignments. Prerequisites: ISE 121 or ISE 328 and IE 220 or equivalent.

ISE 405. Special Topics in Industrial Engineering (3)
An intensive study of some field of industrial engineering.

ISE 406. Introduction to Mathematical Optimization (3)
Algorithms and techniques for the solution and analysis of deterministic linear optimization models used in operations research. Linear and integer linear optimization problems. Modeling techniques and fundamental algorithms and their complexity properties. Available open source and commercial solvers discussed.

ISE 408. Management of Information Systems (3)
Philosophies and methods for systematic planning, development, and implementation of management information systems. Concepts of information resource management, and strategic and long-range planning of information systems and services. Prerequisite: ISE 224 or ACCT 311 or equivalent.

ISE 409. Time Series Analysis (3)
Theory and applications of an approach to process modeling, analysis, prediction, and control based on an ordered sequence of observed data. Single or multiple time series are used to obtain scalar or vector difference/differential equations describing a variety of physical and economic systems. Prerequisite: ISE 121 or equivalent.

ISE 410. Design of Experiments (3)
Experimental procedures for sorting out important causal variables, finding optimum conditions, continuously improving processes, and trouble shooting. Applications to laboratory, pilot plant and factory. Prerequisite: Some statistical background and experimentation in prospect, ISE 121 or equivalent.

ISE 411. Networks and Graphs (3)
This course examines the theory and applications of networks and graphs. Content of the course stresses on the modeling, analysis and computational issues of network and graph algorithms. Complexity theory, trees and arborescences, path algorithms, network flows, matching and assignment, primal-dual algorithms, Eulerian and Hamiltonian walks and various applications of network models. Prerequisite: ISE 406 or equivalent.

ISE 412. Quantitative Models of Supply Chain Management (3)
Analytical models for logistics and supply chain coordination. Modeling, analysis, and computational issues of production, transportation, and other planning and decision models. Logistics network configuration, risk pooling, stochastic decision-making, information propagation, supply chain contracting, and electronic commerce implication. Prerequisite: ISE 316 and ISE 339 or equivalent.

ISE 413. Advanced Engineering Economy and Replacement Analysis (3)
Measuring economic worth, economic optimization under constraints, analysis of economic risk and uncertainty. Emphasis on analytical methods to evaluate the economic desirability of replacement and retirement options in capital investment. Prerequisites: ISE 220 and ISE 226 or equivalents.

ISE 414. Heuristic Methods in Combinatorial Optimization (3)
Heuristic methods for solving combinatorial and discrete optimization problems such as routing, scheduling, partitioning and layout. Introduction to NP-completeness theory, exact and inexact methods, performance analysis, fast and greedy heuristics, Lagrangean heuristics, and various search techniques including simulated annealing, genetic algorithms, Tabu search and iterative constructive heuristics.

ISE 416. Dynamic Programming (3)
The principle of optimality and recursive solution structure; multidimensional problems; reduction of dimensionality and approximation; stochastic control; non-serial systems; relationship to calculus of variation; applications. Prerequisite: ISE 316 or equivalent.

ISE 417. Nonlinear Programming (3)
Advanced topics in mathematical programming with emphasis on modeling and analysis of non-linear optimization problems. Convex analysis, unconstrained and constrained optimization, duality theory, Lagrangian relaxation, and methods for solving non-linear programs, including descent methods, Newton methods, conjugate gradient methods, and penalty and barrier methods. Prerequisite: ISE 406 or equivalent.

ISE 418. Integer Programming (3)
Advanced topics in mathematical programming with emphasis on modeling and analysis of optimization problems with integer variables. Polyhedral theory, theory of valid inequalities, duality and relaxation, computational complexity, and methods for solving integer programs, such as branch and bound. Prerequisite: ISE 406 or equivalent.

ISE 419. Planning and Scheduling in Manufacturing and Services (3)
Models for the planning and scheduling of systems that produce goods or services. Resource allocation techniques utilizing static and dynamic scheduling methods and algorithms. Application areas include manufacturing and assembly systems, transportation system timetabling, project management, supply chains, and workforce scheduling.

ISE 422. Measurement and Inspection Systems (3)
Study of measurement instruments and sensors for manufactured products. Metrology standards, performance characteristics of measuring devices, calibration, error analysis, and gaging. Mechanical, optical, and other techniques. On-line monitoring and control for product quality, and sensor integration and fusion. Prerequisite: ISE 328 or equivalent.

ISE 424. Robotic Systems and Applications (3)
Detailed analysis for robotic systems in manufacturing and service industries. Task planning and decomposition, motion trajectory analysis, conveyor tracking, error detection and recovery, end effector design, and systems integration. Prerequisite: ISE 324 or consent of instructor.

ISE 425. Advanced Inventory Theory (3)
Advanced analytical, algorithmic, and heuristic methods for optimizing and managing inventory systems. Economic order quantity model and extensions; power-of-two policies; base-stock and other policies for stochastic systems; the Clark-Scarf model; assembly and distribution systems; proofs of policy optimality. Prerequisites: ISE 316 and ISE 339, or equivalent.

ISE 426. Optimization Models and Applications (3) (graduate version of IE 316)
Modeling and analysis of operations research problems using techniques form mathematical programming. Linear programming, integer programming, multi-criteria optimization, stochastic programming and nonlinear programming using an algebraic modeling language. This course is a version of ISE 316 for graduate students, with research projects and advanced assignments. Closed to students who have taken IE 316. Prerequisite: ISE 220 or equivalent background.

ISE 429. Stochastic Models and Applications (3)
Introduction to stochastic process modeling and analysis techniques and applications. Generalization of the Poisson process; renewal theory, queueing, and reliability; Brownian motion and stationary processes. This course is a version of IE 39 for graduate students, with research projects and advanced assignments. Closed to students who have taken ISE 339. Prerequisite: ISE 220 or equivalent background.

ISE 430. Management Science Project (3)
Analysis of a management problem and design of its solution incorporating management science techniques. An individual written report is required. Recommended to be taken in the last semester of the program.

ISE 431. Operations Research Special Topics (3)
Extensive study of selected topics in techniques and models of operations research.

ISE 433. Manufacturing Engineering Special Topics (3)
Extensive study of selected topics in the research and development of manufacturing engineering techniques.

ISE 437. Advanced Database Analysis and Design (3)
Intensive treatment of design and application of modern database technology, including information modeling and logical design of databases. Emphasis on applications to the manufacturing environment. Prerequisite: ISE 310 or equivalent.

ISE 438. Advanced Data Communication Systems Analysis and Design (3)
Study of technological development, operational algorithms and performance analysis in data networks. Emphasis on recent developments in communication technologies, modeling and simulation of large-scale networks, routing models and algorithms, and flow control issues. Prerequisite: ISE 341 and ISE 316, or equivalents.

ISE 439. Queueing Systems (3)
Queueing theory and analysis of manufacturing, distribution, telecommunications, and other systems subject to congestion. Design and analysis of queueing networks; approximation methods such as mean value analysis, uniformization, fluid and diffusion interpretations; numerical solution approaches. Prerequisite: ISE 339 or instructor permission.

ISE 441. Financial Engineering Projects (3)
Analysis, design and implementation of solutions to problems in financial services using information technology, mathematical modeling, and other financial engineering techniques. Emphasis on real-world problem solving, problem definition, implementation and solution evaluation.

ISE 442. Manufacturing Management (3)
Study of factors affecting the development of a manufacturing management philosophy; decision-making process in areas of organization, planning, and control of manufacturing. The principles and techniques of TQM, Deming and others; metrics, costs, benchmarking, quality circles, and continuous improvement. Influence of the social, technical, and economic environment upon manufacturing management decisions. Case studies.

ISE 443. (MSE 427) Automation and Production Systems (3)
Principles and analysis of manual and automated production systems for discrete parts and products. Cellular manufacturing, flexible manufacturing systems, transfer lines, manual and automated assembly systems, and quality control systems. Prerequisite: ISE 215 or equivalent.

ISE 444  Optimization Methods in Machine Learning  (3)
Machine learning models and advanced optimization tools that are used to apply these models in practice.  Machine learning paradigm, machine learning models, convex optimization models, basic and advanced methods for modern convex optimization.  Pre-requisite:  ISE 406 or equivalent.


ISE 445. Assembly Processes and Systems (3)
Joining processes including welding, brazing, soldering, and adhesive bonding. Mechanical assembly methods. Manual assembly lines and line balancing. Automated assembly. Product design considerations including Design for Assembly. Prerequisite: ISE 215 or equivalent.

ISE 446. Discrete Event Dynamic Systems (3)
Modeling of Discrete Event Dynamic systems (DEDS) particularly as applied to industrial systems. Modeling procedures with focus on Petri Nets. Hierarchical Petri Net modeling, performance analysis, behavioral and structural properties, and various synthesis and analytical techniques. Relationships to state space concepts, simulation, and finite state automata are introduced. Emphasis on use of such nets for the control of industrial systems. Prerequisites: Permission of instructor.

ISE 447. Financial Optimization (3)
Making optimal financial decisions under uncertainty. Financial topics include asset/liability management, option pricing and hedging, risk management, and portfolio optimization. Optimization techniques covered include linear and nonlinear programming, integer programming, dynamic programming, and stochastic programming. Emphasis on use of modeling languages and solvers in financial applications. Requires basic knowledge of linear programming and probability. Prerequisite: ISE 426 or equivalent.

ISE 448. Industrial Control Systems for Manufacturing (3)
Techniques used to control manufacturing systems: numerical control, digital control, programmable logic controllers, and sensors.

ISE 449. Advanced Computer-Aided Manufacturing (3)
Numerical control in manufacturing; CAD/CAM systems; computer monitoring and control of manufacturing operations; adaptive control of manufacturing operations. Manufacturing resource planning, computer-aided process planning, and shop floor control. Prerequisite: ISE 342 or consent of instructor.

ISE 451. Intelligent Manufacturing Systems (3)
Informational and control structures, architectures, and analysis techniques for autonomous and semi-autonomous manufacturing systems. System architectures and techniques, knowledge based systems in production, and techniques based on fuzzy systems and neural networks. Applications in manufacturing systems control, process planning, and design and management problems in newly developing manufacturing and production systems. Prerequisite: Permission of instructor.

ISE 455. Optimization Algorithms and Software (3)
Basic concepts of large families of optimization algorithms for both continuous and discrete optimization problems. Pros and cons of the various algorithms when applied to specific types of problems; information needed; whether local or global optimality can be expected. Participants practice with corresponding software tools to gain hands-on experience. This course is a version of ISE 355 for graduate students and requires advanced assignments. Credit will not be given for both ISE 355 and ISE 455. Prerequisite: ISE 240 or consent of instructor

ISE 458 (ECO 463). Topics in Game Theory (3) (Cross listed course)
A mathematical analysis of how people interact in strategic situations. Topics include normal-form and extensive-form representations of games, various types of equilibrium requirements, the existence and characterization of equilibria, and mechanism design. The analysis is applied to microeconomic problems including industrial organization, international trade, and finance. Prerequisites: Two semesters of calculus, ECO 412 and ECO 414, or permission of the instructor.

ISE 460. Engineering Project (1-3)
Intensive study of an area of industrial engineering with emphasis upon design and application. A written report is required.

ISE 461. Readings (1-3)
Intensive study of some area of industrial engineering that is not covered in general courses.

ISE 470. Introduction to Healthcare Systems (3)
The state of Healthcare from economic, systems, quality, and historical perspectives. Components of the Healthcare system including, facilities, delivery and treatment systems, and personnel. System costs, reimbursement methods and financial aspects in Healthcare. Healthcare policy, laws and ethics. System performance measures including access, cost effectiveness and quality of care.

ISE 471. Quality and Process Improvement in Healthcare (3)
The dimensions of Healthcare quality and their definitions, quality metrics, accreditation and other benchmarking and evaluation methods. Change management, project planning and team management. Continuous improvement tools including “lean”, “six-sigma”, and “TQM”.

ISE 472. Financial Management in Healthcare (3)
Engineering economics in Healthcare; value metrics (net present value, return on investment, etc.), cost-benefit analysis, capital projects and improvements. Accounting methods in Healthcare systems. Reimbursement methods, organizations, and alternatives. Financial strategy, planning, pricing and capital formation in “for”, and “not for” profit settings.

ISE 473. Information Technology in Healthcare (3)
Introduction to information systems in Healthcare. Components of the system; electronic medical records, patient monitoring and data collection (clinical information systems), ancillaries (lab, pharmacy, radiology), imaging and digital technology, financial, inventory and management information systems. Enterprise systems in Healthcare, IT driven cost, efficiency and treatment quality metrics. Data warehousing, sharing, mining, protection and privacy issues.

ISE 474. Healthcare Systems Engineering Capstone Project (3)
A three credit hour “capstone” project to be completed in collaboration with industry partners and under the supervision of faculty. Students will work in small groups on projects in the Healthcare industry. The Professor of Practice is the general advisor for the capstone project course.

ISE 475. Healthcare Systems Project (1-3)
Intensive study of an area of healthcare systems engineering with emphasis upon design and application. Written report is required.

ISE 490. Thesis (1-6)

ISE 499. Dissertation (1-15)

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