EGN 5949 Practicum/Internship/Cooperative Work Experience 1-6 Credits, Max 6 Credits

Grading Scheme: S/U

Practical cooperative engineering work under approved industrial and faculty supervision.

Prerequisite: graduate student.

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EGN 6640 Entrepreneurship for Engineers 3 Credits

Grading Scheme: Letter Grade

Introduction to entrepreneurship, idea generating and feasibility analysis, and business planning. Lectures, case studies, student-led discussions, team business plans, and investor presentations.

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EGN 6913 Engineering Graduate Research 0-3 Credits

Grading Scheme: S/U

Course will provide the student with supervised research in a laboratory setting.

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EIN 5249 Human Factors in System Design 3 Credits

Grading Scheme: Letter Grade

This course will provide an understanding of concepts and methods in human factors and applications to human-machine system design. We will consider the system design implications of human cognitive and physical capabilities and limitations in perception, memory, decision-making and motor-control.

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EIN 6176 Advanced Quality Management and Engineering for Business Processes 3 Credits

Grading Scheme: Letter Grade

Philosophy of continuous improvement and methodology for applying team problem solving to manufacturing and service industries. Hands-on application of basic statistical quality tools; introduction to quality function deployment; concurrent engineering; business process reengineering; process analysis; benchmarking. Team project.

Prerequisite: introductory statistics or consent of instructor.

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EIN 6212 Loss Assessment and Control 3 Credits

Grading Scheme: Letter Grade

This course will provide advanced coverage of risk assessment and management methods in the context of systems safety engineering. It will cover different types of hazard exposure, (chemical, fire, radiation, asbestos, lead, hazardous waste). Risk measurement and mitigation strategies will be identified for each hazard along with emergency response operations.

Prerequisite: EIN6216 System Safety Engineering (C)

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EIN 6216 Occupational Safety Engineering 3 Credits

Grading Scheme: Letter Grade

Topics covered include safety history and litigation, accident causation, safety organizations and agencies, approaches to occupational safety and risk management, product defects and safety program development; product liability; consumer product safety commission, hazard communication standard, workers? compensation, OSHA safety standards and codes and OSHA record keeping, common occupational hazards.

Prerequisite: Basic probability and Electricity at the undergraduate level.

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EIN 6336 Advanced Production and Inventory Control 3 Credits

Grading Scheme: Letter Grade

Production planning and control; problem identification and formulation. Mathematical theory of single- and multicommodity inventory systems; problem solving using dynamic programming and Markov chains.

Prerequisite: ESI 6314 & ESI 6325

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EIN 6357 Advanced Engineering Economy 3 Credits

Grading Scheme: Letter Grade

Economic analysis of capital expenditure decisions. Financial mathematics and microeconomics. Decision under risk and uncertainty. Game theory and utility theory.

Prerequisite: STA 4321.

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EIN 6422 Manufacturing Management 3 Credits

Grading Scheme: Letter Grade

Variety and importance of management decisions. Total quality management, just-in time manufacturing, concurrent engineering, material requirements planning, production scheduling, and inventory control.

Prerequisite: ESI 6314 and undergraduate probability and statistics.

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EIN 6510 Principles of Manufacturing Systems Engineering 3 Credits

Grading Scheme: Letter Grade

Introduction to modern manufacturing systems. Components of product and process design, computer-integrated manufacturing and automation. Current areas of development and research.

Prerequisite: calculus through differential equations.

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EIN 6905 Special Problems 1-6 Credits, Max 9 Credits

Grading Scheme: Letter Grade

Laboratory, lecture, field work, or conferences.

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EIN 6910 Supervised Research 1-5 Credits, Max 5 Credits

Grading Scheme: S/U

Supervised Research

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EIN 6918 Graduate Seminar 1 Credit, Max 15 Credits

Grading Scheme: S/U

Graduate Seminar

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EIN 6940 Supervised Teaching 1-5 Credits, Max 5 Credits

Grading Scheme: S/U

Supervised Teaching

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EIN 6971 Research for Master's Thesis 1-15 Credits

Grading Scheme: S/U

Research for Master's Thesis

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EIN 7933 Special Problems 1-6 Credits, Max 12 Credits

Grading Scheme: Letter Grade

Laboratory, lecture, field work, or conferences.

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EIN 7979 Advanced Research 1-12 Credits

Grading Scheme: S/U

Research for doctoral students before admission to candidacy. Designed for students with a master's degree in the field of study or for students who have been accepted for a doctoral program. Not appropriate for students who have been admitted to candidacy.

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EIN 7980 Research for Doctoral Dissertation 1-15 Credits

Grading Scheme: S/U

Research for Doctoral Dissertation

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ESI 5236 Reliability Engineering 3 Credits

Grading Scheme: Letter Grade

Mathematical models and methods of reliability engineering. Typical component failure distributions; system reliability as a function of component reliability. Reliability block diagrams and fault trees.

Prerequisite: ESI 4567C, STA 4322.

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ESI 6216 System Safety Engineering 3 Credits

Grading Scheme: Letter Grade

This course will focus on identification and recognition of potential safety hazards as well as the concept of risk assessment. Various systems safety methodologies will be explored together with applications to hazard analysis and control. Industrial case studies will be referenced to illustrate the usefulness of system safety techniques.

Prerequisite: EIN 6216, or instructor approval for undergraduate students.

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ESI 6314 Deterministic Methods in Operations Research 4 Credits

Grading Scheme: Letter Grade

Introduction to basic models and their solution with modern computer packages. Emphasis on modeling, computer solution, and sensitivity analysis with minimal reference to model theory and development of algorithmic methods.

Prerequisite: calculus through differential equations, knowledge of linear algebra, and experience using mainframes or PCs.

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ESI 6323 Models for Supply Chain Management 3 Credits

Grading Scheme: Letter Grade

Essential elements including controlling and coordinating activities such as order processing, purchasing, material storage and handling, production scheduling, packaging, transportation, and setting customer service standards.

Prerequisite: prior course work in linear programming, probability, and stochastic processes.

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ESI 6325 Applied Probability Methods in Engineering 3 Credits

Grading Scheme: Letter Grade

Applied probability theory and statistics, reliability engineering, quality control, robust design, forecasting, Markov processes, and queuing theory.

Prerequisite: calculus, differential equations, undergraduate probability, and statistics.

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ESI 6341 Intro to Stochastic Optimization 3 Credits

Grading Scheme: Letter Grade

Introduction to Stochastic Optimization is intended as a first introductory course for graduate students in such fields as engineering, operations research, statistics, mathematics, and business administration (in particular, finance or management science). 3 credits.

Prerequisite: Basic knowledge of calculus, statistics and linear programming.

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ESI 6346 Decision Making under Uncertainty 3 Credits

Grading Scheme: Letter Grade

Introduction to the use of quantitative models for decision-making in environments where uncertainty is present.  Focuses on fundamentals of probability simulation, Markov chains, queuing analysis, decision trees and dynamic programing.

Prerequisite: ESI6314 Deterministic Methods for Operations Research, andStudents should have had a course in probability/statistics at the undergraduate level.

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ESI 6352 Financial Optimization Case Studies 3 Credits

Grading Scheme: Letter Grade

Quantitative analysis of financial systems. Optimization case studies in finance and risk management. Statistical analysis of risk management and financial systems. Portfolio optimization: Value-at-Risk (quantile), Conditional Value-at-Risk (Expected  Shortfall), Drawdown, Hedging. Calibration of distribution and application to CDO pricing.

Prerequisite: There are no formal prerequisites for the course. The course requires knowledge of basic statistical concepts (probability distributions, linear regression). Familiarity with optimization (linear programming). Familiarity with high level programming languages, which can be used for data analysis (e.g., with MATLAB or R).

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ESI 6355 Decision Support Systems for Industrial and Systems Engineers 4 Credits

Grading Scheme: Letter Grade

Applications of decision support systems: developing and implementing systems arising in industrial and systems engineering using popular database management and spreadsheet software.

Prerequisite: programming course in C++ or Java and operations research.

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ESI 6417 Linear Programming and Network Optimization 3 Credits

Grading Scheme: Letter Grade

Formulation and solution techniques for network flow and linear programming problems. Algorithms for network optimization. The simplex method, theory and computation. Duality theory, sensitivity analysis.

Prerequisite: matrix theory.

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ESI 6418 Linear Programming Extensions and Applications 3 Credits

Grading Scheme: Letter Grade

Extension of linear programming to large scale linear and nonlinear problems. Integer programming methods. Applications of the methodology to real world models.

Prerequisite: ESI 6417, ESI 6429.

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ESI 6420 Fundamentals of Mathematical Programming 3 Credits

Grading Scheme: Letter Grade

Introducing mathematical programming with an emphasis on classical optimization concepts, models and solution techniques. Focus on convex analysis (convex sets, separation theorems, convex functions), optimality conditions (Fritz-John Karush-Kuhn-Tucker), Lagrangian duality and iterative solution methods 9gradient, conjugate gradients barrier methods.

Prerequisite: Mathematical background, ability to proof mathematical statements and ability to write simple codes with Matlab or C.

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ESI 6429 Introduction to Nonlinear Optimization 3 Credits

Grading Scheme: Letter Grade

Nonlinear optimization models, convex sets and functions, optimality conditions, nonlinear algorithms, dynamic programming methods.

Prerequisite: ESI 6417 and multivariable calculus.

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ESI 6448 Discrete Optimization Theory 3 Credits

Grading Scheme: Letter Grade

Modeling with integer variables; enumeration and cutting plane methods; decomposition algorithms; branch and bound methods; computational complexity and software issues; special combinatorial optimization problems; parallel algorithms for integer programming.

Prerequisite: linear programming and nonlinear optimization or equivalent.

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ESI 6449 Integer Programming 3 Credits

Grading Scheme: Letter Grade

Advanced topics in the theory, algorithms and applications of integer programming. Focus on polyhedral approaches (cutting planes, integer polyhedra, primal algorithms), theory of lattices and algebraic geometry approaches (Gobner bases, generating functions, sos relaxations).

Prerequisite: ESI 6417 and ESI 6448

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ESI 6492 Global Optimization 3 Credits

Grading Scheme: Letter Grade

Properties of nonconvex functions, convex envelopes, and duality. Complexity issues, applications of global optimization and software issues. Algorithms for quadratic programming. Concave minimization, Lipschitz optimization, and nonconvex network flow problems.

Prerequisite: linear and nonlinear programming.

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ESI 6529 Digital Simulation Techniques 3 Credits

Grading Scheme: Letter Grade

Computer programming aspects of digital simulation. Deterministic simulation; stochastic simulation. Use of simulation languages.

Prerequisite: computer programming and probability theory.

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ESI 6533 Advanced Simulation Design and Analysis 3 Credits

Grading Scheme: Letter Grade

Fundamental concepts and techniques for stochastic simulation and applications in communications, transportation and manufacturing systems, and financial engineering. Discrete-event systems and Monte-Carlo evaluation.

Prerequisite: ESI 6546, and a graduate-level course in statistical inference.

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ESI 6546 Stochastic Modeling and Analysis 3 Credits

Grading Scheme: Letter Grade

Stochastic processes, with emphasis on model building and probalistic reasoning. Review of elementary probability theory. Poisson process and renewal theory. Discrete and continuous time Markov chains. Brownian motions, random walks, and martingales. Applications in queuing, reliability, inventory theory, logistics, and finance.

Prerequisite: STA 6326.

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ESI 6552 Systems Architecture 3 Credits

Grading Scheme: Letter Grade

Foundations for developing and evaluating architectures for systems of systems. Process for generating functional, physical, and operational architecture from a top-level operations concept.

Prerequisite: calculus, linear algebra, ESI 6553: Systems Design

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ESI 6553 Systems Design 3 Credits

Grading Scheme: Letter Grade

Broad introduction to systems engineering and the structured approaches needed to design complex systems. Emphasizes formulation of systems problems and approaches to their solution. Introduces basic mathematical techniques for dealing with systems design.

Prerequisite: calculus, linear algebra, basics of statistics, ESI 6314.

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ESI 6555 Systems Management 3 Credits

Grading Scheme: Letter Grade

Introduction to the concepts of systems and the role of systems engineering in their development. Basic framework for planning and assessing system development, and how systems analysis methods and techniques are integrated into systems engineering processes.

Prerequisite: calculus, linear algebra, basics of statistics.

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