I SY E 1 — COOPERATIVE EDUCATION PROGRAM

1 credit.

Work experience which combines classroom theory with practical knowledge of operations to provide students with a background upon which to base a professional career in industry. Enroll Info: None

I SY E 191 — THE PRACTICE OF INDUSTRIAL ENGINEERING

2 credits.

An introduction to industrial engineering subject matter areas, problem types, and design/analysis approaches, techniques, and methodologies. Special emphasis on formulation and design alternatives for problem solving. Enroll Info: None

I SY E 312 — DATA MANAGEMENT AND ANALYSIS FOR INDUSTRIAL ENGINEERS

3 credits.

Fundamentals of data management and analysis. Formulating and solving real industrial engineering problems with appropriate data managing and modeling strategies. Fundamental industrial database management strategies, data preprocessing, visualization and modeling techniques; industrial database management and analysis techniques using leading programming software (MySQL and R). Enroll Info: None

I SY E 313 — ENGINEERING ECONOMIC ANALYSIS

3 credits.

Financial accounting principles and cost systems, interpretation and use of accounting reports and supplemental information for engineering economic analyses, consideration of cost-volume-profit analyses, use of discounted cash flow techniques, flexible budgeting, transfer pricing, and capital budgeting. Enroll Info: None

I SY E 315 — PRODUCTION PLANNING AND CONTROL

3 credits.

Techniques and applications of control concepts in the design of inventory, production, quality, and project-planning systems; use of the computer as a component in such systems. Enroll Info: None

I SY E 320 — SIMULATION AND PROBABILISTIC MODELING

3 credits.

Analysis of stochastic systems using both analytic methods and computer simulation. Empirical and theoretical models of arrival and service processes. State spaces and state transition probabilities. Simulation of queuing and manufacturing systems. Continuous time Markov analysis of manufacturing systems. Enroll Info: None

I SY E 321 — SIMULATION MODELING LABORATORY

1 credit.

Computer exercises involving generation and analysis of random variables, spreadsheet models of queuing systems, use of simulation software packages. Project. Enroll Info: None

I SY E 323 — OPERATIONS RESEARCH-DETERMINISTIC MODELING

3 credits.

Basic techniques for modeling and optimizing deterministic systems with emphasis on linear programming. Computer solution of optimization problems. Applications to production, logistics, and service systems. Enroll Info: None

I SY E 348 — INTRODUCTION TO HUMAN FACTORS ENGINEERING LABORATORY

1 credit.

Hands on experience applying concepts discussed in I SY E/​PSYCH  349. Complete a small three-part design project. Learn how to measure light, sound, anthropometric, and psychophysiological data, and then apply these measurements to product and workplace design challenges. Enroll Info: None

I SY E/​PSYCH  349 — INTRODUCTION TO HUMAN FACTORS

3 credits.

Conveys the importance of considering human capabilities and limits in system design and operation. This includes understanding human characteristics from the cognitive, physical, and psychosocial perspectives. Implications of these characteristics are explored through understanding the needs of people, designing to support these needs, and evaluating systems to ensure they serve the intended purpose. Case studies are used to identify the human role in accidents and to identify design improvements. Application domains include consumer product design, human-computer interaction, workplace safety, and complex systems such as healthcare delivery. Enroll Info: None

I SY E 350 — INDUSTRIAL ENGINEERING DESIGN I

3 credits.

Introduction to the tools needed for advanced design courses through experiential learning and hands-on opportunities to conduct experiments, take relevant measurements, analyze real-world data, design systems, and to make and test prototypes of designs. Enroll Info: None

I SY E 389 — HONORS IN RESEARCH

1-3 credits.

Undergraduate honors research projects supervised by faculty members. Enroll Info: None

I SY E 412 — FUNDAMENTALS OF INDUSTRIAL DATA ANALYTICS

3 credits.

Provides an understanding of the fundamentals of using data analytics to make data-driven decisions. Emphasizes applying techniques to industrial engineering problems. Focuses on formulating and solving real industrial problems with the appropriate modeling strategies and analytics principles for better decision making. Enroll Info: None

I SY E 415 — INTRODUCTION TO MANUFACTURING SYSTEMS, DESIGN AND ANALYSIS

3 credits.

Introduction to the technologies, processes and systems of modern discrete part manufacturing. Emphasis on development of an understanding of the behavior of integrated systems. Enroll Info: None

I SY E 417 — HEALTH SYSTEMS ENGINEERING

3 credits.

Introduction to the application of industrial engineering methods to the analysis and improvement of health care delivery. Exploration of common problems of decision making and control in health care. Examination of social, regulatory and economic factors unique to health care. Enroll Info: None

I SY E/​COMP SCI/​MATH  425 — INTRODUCTION TO COMBINATORIAL OPTIMIZATION

3 credits.

Focuses on optimization problems over discrete structures, such as shortest paths, spanning trees, flows, matchings, and the traveling salesman problem. We will investigate structural properties of these problems, and we will study both exact methods for their solution, and approximation algorithms. Enroll Info: None

I SY E 450 — INDUSTRIAL ENGINEERING DESIGN II

3 credits.

Team-based project experience to address a real-world design challenge posed by an external organization. Collaboration with the project client to design a new system or process, or redesign an existing one, by integrating and applying appropriate Industrial and Systems Engineering knowledge, methodologies and tools for problem definition and analysis; idea generation; solution development, evaluation and justification; and implementation planning and impact assessment. Enroll Info: None

I SY E/​CIV ENGR/​N E  460 — UNCERTAINTY ANALYSIS FOR ENGINEERS

3 credits.

Introduction to approaches for quantifying uncertainty in engineering analyses. Both analytical and computational methods are demonstrated. Enroll Info: None

I SY E 476 — INDUSTRIAL ENGINEERING PROJECTS

3 credits.

Complete design of an industrial engineering system in a real world setting, e.g., manufacturing, hospital, communications, food processing, distribution, transportation, etc. Enroll Info: None

I SY E 489 — HONORS IN RESEARCH

1-3 credits.

Undergraduate honors research projects supervised by faculty members. Enroll Info: None

I SY E/​M E  510 — FACILITIES PLANNING

3 credits.

Introduction to plant location theory and analysis of models of plant location; models for determining plant size and time phasing; line balancing models; techniques for investigating conveyor and other material handling problems; and models of plant layout. Enroll Info: None

I SY E/​M E  512 — INSPECTION, QUALITY CONTROL AND RELIABILITY

3 credits.

Inspection data for quality control; sampling plans for acceptance inspection; charts for process control. Introduction to reliability models and acceptance testing. Enroll Info: None

I SY E/​M E  513 — ANALYSIS OF CAPITAL INVESTMENTS

3 credits.

A second course in quantitative methods for analyzing capital investments in technological environments, both public and private. Replacement models; comparison of alternative investment models; risk analysis; case studies. Enroll Info: None

I SY E 515 — ENGINEERING MANAGEMENT OF CONTINUOUS PROCESS IMPROVEMENT

3 credits.

Addresses the role of the industrial engineer as a "manager" of continuous improvement in design and production processes. Provides modern tools and techniques for planning and managing team projects, integrating the concepts of total quality, data based decision making, and resource management. Enroll Info: None

I SY E 516 — INTRODUCTION TO DECISION ANALYSIS

3 credits.

Overview of modeling techniques and methods used in decision analysis, including multiattribute utility models, decision trees, and Bayesian models. Psychological components of decision making are discussed. Elicitation techniques for model building are emphasized. Practical applications through real world model building are described and conducted. Enroll Info: None

I SY E 517 — DECISION MAKING IN HEALTH CARE

3 credits.

Introduction to the use of decision sciences in health-care. Conceptual understanding of medical decision making and its tools including decision trees, sensitivity analysis, Markow (decision) processes, and Monte Carlo simulations with examples from the current medical literature. Enroll Info: None

I SY E/​COMP SCI/​DS  518 — WEARABLE TECHNOLOGY

3 credits.

Gives students hands-on experience in building wearable computing platforms. Designed for students who have a background in textiles and apparel design, computer science, engineering or media arts. By the completion of the course students will have fundamental knowledge of electronic circuitry, programming, and "maker skills". Enroll Info: None

I SY E 520 — QUALITY ASSURANCE SYSTEMS

3 credits.

Introduces engineers to applications of total quality concepts and tools to develop, implement, and maintain an effective quality assurance system in a manufacturing or service organization. Emphasis is on documentation development, team-based improvement strategies, and international quality standards. Enroll Info: None

I SY E/​COMP SCI/​E C E  524 — INTRODUCTION TO OPTIMIZATION

3 credits.

Introduction to mathematical optimization from a modeling and solution perspective. Formulation of applications as discrete and continuous optimization problems and equilibrium models. Survey and appropriate usage of basic algorithms, data and software tools, including modeling languages and subroutine libraries. Enroll Info: None

I SY E/​COMP SCI/​MATH/​STAT  525 — LINEAR OPTIMIZATION

3 credits.

Introduces optimization problems whose constraints are expressed by linear inequalities. Develops geometric and algebraic insights into the structure of the problem, with an emphasis on formal proofs. Presents the theory behind the simplex method, the main algorithm used to solve linear optimization problems. Explores duality theory and theorems of the alternatives. Enroll Info: None

I SY E/​COMP SCI  526 — ADVANCED LINEAR PROGRAMMING

3 credits.

Review of linear programming. Polynomial time methods for linear programming. Quadratic programs and linear complementarity problems and related solution techniques. Solution sets and their continuity properties. Error bounds for linear inequalities and programs. Parallel algorithms for linear and quadratic programs. Enroll Info: None

I SY E/​PSYCH  549 — HUMAN FACTORS ENGINEERING

3 credits.

Analysis and design of man-machine systems using human performance models and data. Emphasis on systems involving communication and control. Projects using digital and analog computer simulation techniques for system design. Enroll Info: None

I SY E 552 — HUMAN FACTORS ENGINEERING DESIGN AND EVALUATION

3 credits.

Evaluation, analysis, and design recommendations for improving human performance and productivity in applied settings. Collection of instrument-based and user survey data. Emphasis on ergonomics, human factors and sociotechnical systems engineering approaches and problems. Design project required. Enroll Info: None

I SY E 555 — HUMAN PERFORMANCE AND ACCIDENT CAUSATION

3 credits.

A systems view of accident causation, with emphasis on the human performance limitations important in industrial and other accidents. Models of causation, data collection systems, economic evaluation, and safety programs. Small group projects. Enroll Info: None

I SY E 557 — HUMAN FACTORS ENGINEERING FOR HEALTHCARE SYSTEMS

3 credits.

Introduction to the application of Human Factors Engineering theory and methods to the analysis and improvement of healthcare delivery systems. Enroll Info: None

I SY E/​COMP SCI/​M E  558 — INTRODUCTION TO COMPUTATIONAL GEOMETRY

3 credits.

Introduction to fundamental geometric computations and algorithms, and their use for solving engineering and scientific problems. Computer representations of simple geometric objects and paradigms for algorithm design. Applications from areas of engineering analysis, design and manufacturing, biology, statistics, and other sciences. Enroll Info: None

I SY E/​MED PHYS  559 — PATIENT SAFETY AND ERROR REDUCTION IN HEALTHCARE

2 credits.

Techniques for evaluating and reducing risks in medical procedures, including probabilistic risk assessment methods, failure mode and effects analysis, human factors analysis, and quality management. Discussions of patient safety standards, recommendations from agencies, and continual quality improvement. Enroll Info: None

I SY E/​B M E  564 — OCCUPATIONAL ERGONOMICS AND BIOMECHANICS

3 credits.

Introduces engineers how to design manufacturing and industrial operations in which people play a significant role, so that human capabilities are maximized, physical stress is minimized, and workload is optimized. Examples and topics emphasize industrial applications. Enroll Info: None

I SY E/​N E  574 — METHODS FOR PROBABILISTIC RISK ANALYSIS OF NUCLEAR POWER PLANTS

3 credits.

Methods for risk and reliability analysis of engineered systems, particularly as applied in the nuclear power industry. Fault trees and event trees, Bayesian data analysis, probabilistic risk management. Some familiarity with nuclear plant safety systems is helpful, but not required. Enroll Info: None

I SY E 575 — INTRODUCTION TO QUALITY ENGINEERING

3 credits.

Introduction to statistically based quality improvement methods useful in industrial settings; observational methods and design of experiments; experimentation to discover influential factors and to analyze sources of variation; robust products. Enroll Info: None

I SY E 601 — SPECIAL TOPICS IN INDUSTRIAL ENGINEERING

1-3 credits.

In various areas. Sample topics: "Simulation" and "Systems Design". Enroll Info: None

I SY E 602 — SPECIAL TOPICS IN HUMAN FACTORS

3 credits.

Various special topics in human factors engineering. Course topic may vary from semester to semester. Different versions of this course may be offered in same semester. Enroll Info: None

I SY E 603 — SPECIAL TOPICS IN ENGINEERING ANALYTICS AND OPERATIONS RESEARCH

1-3 credits.

Various special topics in engineering analytics and operations research, such as machine learning, data management and analysis, optimization, etc. Enroll Info: None

I SY E 604 — SPECIAL TOPICS IN MANUFACTURING AND SUPPLY CHAIN MANAGEMENT

1-3 credits.

Various special topics in manufacturing systems and supply chain management, such as digital manufacturing technologies, Internet of Things (IoT), supply chain, etc. Enroll Info: None

I SY E 605 — COMPUTER INTEGRATED MANUFACTURING

3 credits.

An introduction to computer-integrated design and manufacturing with a focus on manufacturing process planning. Emphasis on concurrent engineering principles, manufacturing process engineering, computer-aided process planning, NC programming, and CAM integration. Course provides experience with CAM software and NC machines. Enroll Info: None

I SY E 606 — SPECIAL TOPICS IN HEALTHCARE SYSTEMS ENGINEERING

1-3 credits.

Various special topics in healthcare systems engineering, such as human factors in healthcare settings, operations research applied to healthcare, etc. Enroll Info: None

I SY E/​PHARMACY  608 — SAFETY AND QUALITY IN THE MEDICATION USE SYSTEM

3 credits.

Addresses the problems of medication errors and quality in health care, problem resolutions, methods of assessment, and intervention implementation and quality management. Enroll Info: None

I SY E 612 — INFORMATION SENSING AND ANALYSIS FOR MANUFACTURING PROCESSES

3 credits.

Focuses on the sensing and multivariate data modeling and analysis techniques for monitoring, diagnosis, and quality improvement of manufacturing processes. The techniques introduced can find wide applications in health care, financial engineering, service industry applications, human factors, etc. Enroll Info: None

I SY E 615 — PRODUCTION SYSTEMS CONTROL

3 credits.

An intermediate to advanced course stressing the application of recent operations research techniques to production planning, scheduling and inventory control. Enroll Info: None

I SY E/​B M I  617 — HEALTH INFORMATION SYSTEMS

3 credits.

Provides grounding in core concepts of health information systems. Major applications include clinical information systems, language and standards, decision support, image technology and digital libraries. Evaluation of IE tools and perspectives designed to improve the quality, efficiency and effectiveness of health information. Enroll Info: None

I SY E 620 — SIMULATION MODELING AND ANALYSIS

3 credits.

Introduction to simulation modeling and analysis techniques with application to production, logistics, service, and other systems. Emphasis on model building, application of basic statistical data analysis, and the use of simulation for design, evaluation, and improvement of such systems. Introduction to available software. Case studies. Enroll Info: None

I SY E 624 — STOCHASTIC MODELING TECHNIQUES

3 credits.

Techniques for modeling systems in which uncertainty is an essential factor. Emphasizes why, how and when techniques can or cannot be applied, rather than their mathematical derivation. Case studies and/or examples from such areas as logistics, production, and service industries. Enroll Info: None

I SY E/​MATH/​OTM/​STAT  632 — INTRODUCTION TO STOCHASTIC PROCESSES

3 credits.

Topics include discrete-time Markov chains, Poisson point processes, continuous-time Markov chains, and renewal processes. Applications to queueing, branching, and other models in science, engineering and business. Enroll Info: None

I SY E/​MATH/​OTM  633 — QUEUING THEORY AND STOCHASTIC MODELING

3 credits.

Reliability theory; coherent systems and reliability bounds. Markovian queues and Jackson networks. Steady-state behavior of general service time queues. Priority queues. Approximation methods and algorithms for complex queues. Simulation. Dynamic programming; applications to inventory and queueing. Enroll Info: None

I SY E/​COMP SCI  635 — TOOLS AND ENVIRONMENTS FOR OPTIMIZATION

3 credits.

Formulation and modeling of applications from computer sciences, operations research, business, science and engineering involving optimization and equilibrium models. Survey and appropriate usage of software tools for solving such problems, including modeling language use, automatic differentiation, subroutine libraries and web-based optimization tools and environments. Enroll Info: None

I SY E/​M E  641 — DESIGN AND ANALYSIS OF MANUFACTURING SYSTEMS

3 credits.

Covers a broad range of techniques and tools relevant to the design, analysis, development, implementation, operation and control of modern manufacturing systems. Case studies assignments using industry data will be used to elaborate the practical applications of the theoretical concepts. Enroll Info: None

I SY E/​M E  643 — PERFORMANCE ANALYSIS OF MANUFACTURING SYSTEMS

3 credits.

Examines the state of the art in the use of stochastic network theory to develop performance models of modern manufacturing systems. Enroll Info: None

I SY E 645 — ENGINEERING MODELS FOR SUPPLY CHAINS

3 credits.

Provides an overview of engineering fundamentals behind supply chains. Topics covered will include modeling and design of multi-stage production distribution systems, multi-echelon inventory models, theory of supply chain contracts, value of flexibility and information sharing in supply chains. Enroll Info: None

I SY E/​PSYCH  652 — SOCIOTECHNICAL SYSTEMS

3 credits.

Sociotechnical systems theory with applications to the design of organizations and jobs. Open systems and organizational environments. Analysis of the technical and social systems and techniques for "whole" system consideration. Organizational design strategy. Field site analyses by student teams. Enroll Info: None

I SY E/​PSYCH  653 — ORGANIZATION AND JOB DESIGN

3 credits.

Design of productive organizations and people's roles within them. Issues including boundary location, organizational decision levels, autonomous work groups, implementation and diffusion. Roles of the union. Case studies. Enroll Info: None

I SY E/​B M E  662 — DESIGN AND HUMAN DISABILITY AND AGING

3 credits.

Design of products for persons with physical, sensory or cognitive impairments is covered as well as the design of standard mass market products. Interdisciplinary teams explore specific disabilities, then design a standard mass market product in competition with each other. Enroll Info: None

I SY E/​INFO SYS/​OTM  671 — E-BUSINESS: TECHNOLOGIES, STRATEGIES AND APPLICATIONS

3 credits.

Overview of core concepts of e-commerce and e-business technologies, strategies and applications. Covers business-to-consumer, business-to-business and intra-business models by using real-world examples and cases from various industries. Enroll Info: None

I SY E 699 — ADVANCED INDEPENDENT STUDY

1-5 credits.

Under faculty supervision. Enroll Info: None

I SY E 702 — GRADUATE COOPERATIVE EDUCATION PROGRAM

1-2 credits.

Work experience that combines classroom theory with practical knowledge of operations to provide students with a background on which to develop and enhance a professional career. The work experience is tailored for MS students from within the U.S. as well as eligible international students. Enroll Info: None

I SY E/​POP HLTH  703 — QUALITY OF HEALTH CARE: EVALUATION AND ASSURANCE

1-3 credits.

Implementation, oversight, and management of quality-oriented activities in health care settings. Overview of current and historical activities, approaches, and issues confronting health care related to quality assessment, assurance, and improvement. Enroll Info: None

I SY E/​C&E SOC/​N E/​SOC  708 — SOCIETAL RISK MANAGEMENT OF TECHNOLOGICAL HAZARDS

3 credits.

Issues involved in decision-making regarding technological risks and risk management in areas such as nuclear power, hazardous waste disposal, and pollution control. Risk perception and cognitive biases; risk analysis and decision analysis; political issues in risk management; regulatory mechanisms; and risk communication. Selected case studies. Enroll Info: None

I SY E/​COMP SCI  719 — STOCHASTIC PROGRAMMING

3 credits.

Stochastic programming is concerned with decision making in the presence of uncertainty, where the eventual outcome depends on a future random event. Topics include modeling uncertainty in optimization problems, risk measures, stochastic programming algorithms, approximation and sampling methods, and applications. Students are strongly encouraged to have knowledge of linear programming (e.g., MATH/​COMP SCI/​I SY E/​STAT  525) and probability and statistics (e.g., MATH/​STAT  431). Knowledge of integer optimization (MATH/​COMP SCI/​I SY E  728) is helpful, but not required. Enroll Info: None

I SY E/​INFO SYS  722 — COMPUTER-BASED DATA MANAGEMENT

3 credits.

Use, control and administration of centralized and distributed data bases. Topics include the definition, design, creation, revision, interrogation, update, security and integrity of data bases. Enroll Info: None

I SY E/​COMP SCI  723 — DYNAMIC PROGRAMMING AND ASSOCIATED TOPICS

3 credits.

General and special techniques of dynamic programming developed by means of examples. Shortest-path algorithms. Deterministic equipment replacement models. Resource allocation problem. Traveling-salesman problem. Knapsack problem. Analysis of inventory systems. General stochastic formulations. Markovian decision processes. Students are strongly encouraged to have knowledge of mathematical optimization (e.g., COMP SCI/​I SY E/​MATH/​STAT  525, I SY E 623, COMP SCI/​I SY E/​MATH/​STAT  726), knowledge of analysis (e.g., MATH/​STAT  431 or 521) and programming ability (e.g., COMP SCI 200 or 301) Enroll Info: None

I SY E/​COMP SCI/​MATH/​STAT  726 — NONLINEAR OPTIMIZATION I

3 credits.

Theory and algorithms for nonlinear optimization, focusing on unconstrained optimization. Line-search and trust-region methods; quasi-Newton methods; conjugate-gradient and limited-memory methods for large-scale problems; derivative-free optimization; algorithms for least-squares problems and nonlinear equations; gradient projection algorithms for bound-constrained problems; and simple penalty methods for nonlinearly constrained optimization. Enroll Info: Students are strongly encouraged to have knowledge of linear algebra and familiarity with basic mathematical analysis.

I SY E/​COMP SCI  727 — CONVEX ANALYSIS

3 credits.

Convex sets in finite-dimensional spaces: relative interiors, separation, set operations. Convex functions: conjugacy, subdifferentials and directional derivations, functional operations, Fenchel-Rockafellar duality. Applications to operations research and related areas. Students taking this course are strongly encouraged to have had a course in basic analysis (e.g. MATH 521) and a course in linear algebra (e.g., MATH 340). Enroll Info: None

I SY E/​COMP SCI/​MATH  728 — INTEGER OPTIMIZATION

3 credits.

Introduces optimization problems over integers, and surveys the theory behind the algorithms used in state-of-the-art methods for solving such problems. Special attention is given to the polyhedral formulations of these problems, and to their algebraic and geometric properties. Applicability of Integer Optimization is highlighted with applications in combinatorial optimization. Key topics include: formulations, relaxations, polyhedral theory, cutting planes, decomposition, enumeration. Students are strongly encouraged to have knowledge of Linear Programming (e.g., MATH/​COMP SCI/​I SY E/​STAT  525), including algorithms, duality and polyhedral theory. Enroll Info: None

I SY E/​M H R  729 — BEHAVIORAL ANALYSIS OF MANAGEMENT DECISION MAKING

3 credits.

Examination of behavioral science literature dealing with the processes by which individuals, small groups and organizations make decisions. Understanding decision-making behavior in order to improve managerial performance; modeling decision-making processes for systems design and theory building purposes. Enroll Info: Knowledge of statistics strongly encouraged such as STAT 301.

I SY E/​COMP SCI/​MATH  730 — NONLINEAR OPTIMIZATION II

3 credits.

Theory and algorithms for nonlinearly constrained optimization. Relevant geometric concepts, including tangent and normal cones, theorems of the alternative, and separation results. Constraint qualifications. Geometric and algebraic expression of first-order optimality conditions. Second-order optimality conditions. Duality. Nonlinear programming algorithms: merit functions and filters; interior-point, augmented Lagrangian, and sequential quadratic programming algorithms. Enroll Info: None

I SY E 790 — MASTER'S RESEARCH AND THESIS

1-9 credits.

Directed Master's-level research projects as arranged with instructor. Enroll Info: None

I SY E 816 — SPECIAL TOPICS IN SYSTEMS DESIGN

1-3 credits.

Subjects vary. Enroll Info: None

I SY E 823 — SPECIAL TOPICS IN OPERATIONS RESEARCH

1-3 credits.

Subjects vary. Enroll Info: None

I SY E/​PSYCH  854 — SPECIAL TOPICS IN ORGANIZATION DESIGN

1-3 credits.

Enroll Info: None

I SY E/​PSYCH  859 — SPECIAL TOPICS IN HUMAN FACTORS ENGINEERING

1-3 credits.

Enroll Info: None

I SY E/​POP HLTH  875 — COST EFFECTIVENESS ANALYSIS IN HEALTH AND HEALTHCARE

3 credits.

Basic ideas and tools of cost effectiveness analysis as applied in evaluating medical technologies. Addresses special problems and methods in assessing diagnostic technologies, including ROC analysis, and in measuring health for technology assessment. Uses "classical" and current journal literature. Enroll Info: None

I SY E 890 — PRE-DISSERTATOR'S RESEARCH

1-9 credits.

Directed PhD-level research projects as arranged with faculty advisor. Enroll Info: None

I SY E 961 — GRADUATE SEMINAR IN INDUSTRIAL ENGINEERING

1-3 credits.

Topics vary. Enroll Info: None

I SY E 990 — RESEARCH AND THESIS

1-6 credits.

Directed PhD-level research projects as arranged with faculty advisor. Enroll Info: None

I SY E 999 — ADVANCED INDEPENDENT STUDY

1-6 credits.

Under faculty supervision. Enroll Info: None