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Industrial Engineering (IE) Courses

Academic Unit: Industrial & Systems Eng

IE 1101 - Foundations of Industrial and Systems Engineering
(4 cr; A-F only; offered Every Fall)
This course will provide you with an introduction to Industrial and Systems Engineering with an emphasis on models and solution methods used in system design, planning, and operation. The course will also provide you with an introduction to important problems Industrial and Systems Engineers solve in systems arising in supply chains, transportation, manufacturing, retail, and healthcare delivery, among others. Additional emphasis will be given to various relevant emerging technologies, business practices, and government regulations. CSE student
IE 2021 - Engineering Economics
(4 cr; Prereq-[MATH 1372 or equiv], CSE student; A-F only; offered Every Fall)
Cost/design process, cost estimation models, cash flow analysis, interest rate models, time value of money, evaluation of projects, internal rate of return, depreciation/income taxes, price changes/inflation, capital budgeting, decision making under uncertainty.
IE 3011 - Optimization Models and Methods
(4 cr; Prereq-MATH 2374, MATH 2142, or equivalent, Upper Division CSE; A-F only; offered Every Fall)
Linear, nonlinear, integer, and network optimization models and their tractability; Sensitivity analysis; Solution with software; Introduction to solution methods; Simplex method and Dijkstra?s algorithm.
IE 3013 - Optimization for Machine Learning
(4 cr; A-F only; offered Every Fall)
Machine learning has been widely used in areas such as computer vision, search engines, speech recognition, robotics, recommendation systems, bioinformatics, social networks, and finance. It has become an important tool in prediction and data analysis. This course introduces some fundamental solution methods for solving various optimization models arising in the context of machine learning.
IE 3521 - Statistics, Quality, and Reliability
(4 cr; Prereq-MATH 1372 or equiv; Student Option; offered Every Fall, Spring & Summer)
Equivalent courses: was IE 4521 until 21-JAN-14
Random variables/probability distributions, statistical sampling/measurement, statistical inference, confidence intervals, hypothesis testing, single/multivariate regression, design of experiments. Applications to statistical quality control and reliability.
IE 3522 - Quality Engineering and Six Sigma
(4 cr; Prereq-MATH 2374, MATH 2142 or MATH 2373 or equivalent , 3521 or Stat 3021, CSE Upper Division; A-F only; offered Every Spring)
Methods for Quality Engineering and Six Sigma, including Statistical Process Control, DMAIC improvement framework, Control Charts, Process Capability, Measurement System Capability, Designed Experiments, and FMEA.
IE 3553 - Simulation
(4 cr; Prereq-CSCI 1133, IE 3521 or equivalent, CSE Upper Division; A-F only; offered Every Fall)
Equivalent courses: IE 5553 (starting 18-JAN-11)
This course is an introduction to Monte Carlo and Discrete Event Simulation. Student will learn fundamentals of simulation modeling, including generation of psuedo-random numbers, generation of random variables, input probability distributions, variance reduction techniques, analysis of simulation output, and comparison of system configurations using experimental design. Students will implement simulation models using a software package such as Simio. Applications to problems in manufacturing, service operations, healthcare, finance, and transportation.
IE 4011 - Stochastic Models
(4 cr; Prereq-MATH 2374, MATH 2142 or MATH 2373 or equivalent, 3521 or Stat 3021, CSE Upper Division; A-F only; offered Every Spring)
Models for describing/evaluating random systems. Formulating/analyzing stochastic models for business. Discrete-time/continuous-time Markov chains. Poisson processes. Markovian/non-Markovian queueing theory. Inventory management, manufacturing, reliability.
IE 4041W - Senior Design [WI]
(4 cr; Prereq-IE 1101, 2021, 3011, 3521, 3522, 3553, 4011, 4511, 4541W, 4551, ISyE senior; A-F only; offered Every Spring)
Equivalent courses: was IE 4041 until 02-SEP-14
Students work in small teams to address open-ended problems in Industrial and Systems Engineering. Each team works with a faculty advisory and industry mentor.
IE 4043W - Industrial Assignment II [WI]
(4 cr; Prereq-3041; A-F or Audit; offered Every Fall, Spring & Summer; 12 academic progress units; 12 financial aid progress units)
Equivalent courses: was IE 4043 until 17-JAN-17, EE 4043W (inactive)
Solution of system design problems that require developing criteria, evaluating alternatives, and generating a preliminary design. Final report emphasizes design communication and describes design decision process, analysis, and final recommendations.
IE 4044 - Industrial Assignment III
(2 cr; Prereq-IE 4043, registration in ME co-op program; A-F only; offered Every Fall, Spring & Summer; 13 academic progress units; 13 financial aid progress units)
Industrial work assignment in engineering co-op program. Evaluation based on student's formal written report covering semester work assignment.
IE 4091 - Independent Study
(1 cr [max 4]; A-F only; offered Every Fall, Spring & Summer; may be repeated for 12 credits; may be repeated 3 times)
Independent study of topic(s) involving industrial and systems engineering and operations research.
IE 4094 - Directed Research
(1 cr [max 4]; A-F only; offered Every Fall, Spring & Summer; may be repeated for 12 credits; may be repeated 3 times)
Research with faculty adviser on a topic in industrial and systems engineering or operations research. Student contacts adviser to develop project description prior to registering for course.
IE 4096 - Curricular Practical Training
(1 cr; S-N only; offered Every Fall, Spring & Summer; may be repeated for 3 credits; may be repeated 3 times)
Industrial work assignment in engineering intern program. Evaluation based on student's formal written report covering semester's work assignment.
IE 4511 - Human Factors
(4 cr; Prereq-CSE Upper Division; A-F only; offered Every Fall)
Equivalent courses: HUMF 5211, IE 5511 (starting 07-SEP-99), ME 5211 (inactive)
Human factors engineering (ergonomics), methods engineering, work measurement. Human-machine interface: displays, controls, instrument layout, supervisory control. Anthropometry, work physiology/biomechanics. Work environmental factors. Methods engineering.
IE 4541W - Project Management [WI]
(4 cr; Prereq-ISyE senior; A-F only; offered Every Fall)
Equivalent courses: was IE 4541 until 27-MAY-14, IE 5541 (starting 18-JAN-11)
Introduction to engineering project management. Analytical methods of selecting, organizing, budgeting, scheduling, and controlling projects. Risk management, team leadership, program management.
IE 4551 - Production, Inventory, and Service Operations
(4 cr; Prereq-MATH 2374, MATH 2142, or MATH 2373 or equivalent, 3521 or STAT 3021, CSE Upper Division; A-F only; offered Every Spring)
Methods for managing production, inventory, supply chain, and service operations. Demand forecasting, inventory control, production planning/scheduling, supply chain coordination, manufacturing flow analysis, and service waiting line management. Implications of emerging technologies, business practices, and government regulations.
IE 4894 - Directed Senior Honors Thesis
(2 cr; A-F only; offered Every Fall, Spring & Summer)
Equivalent courses: was IE 4894H until 08-SEP-20
Writing thesis under direction of ISyE faculty member.
IE 5012 - Discrete Optimization Methods and Applications
(4 cr; Prereq-(i) MATH 2374, MATH 2142 or MATH 2373 or equivalent, (ii) Upper Division CSE, (iii) CSCI 1133 or equivalent; A-F only; offered Every Spring)
Equivalent courses: was IE 3012 until 06-SEP-22
Discrete and combinatorial optimization techniques; heuristics; dynamic programming; handling uncertainty in optimization models. Applications in logistics, healthcare, data analysis. (Previously offered as IE 3012.)
IE 5080 - Topics in Industrial Engineering (Topics course)
(1 cr [max 4]; Student Option; offered Periodic Fall & Spring; may be repeated for 8 credits; may be repeated 2 times)
Topics vary each semester.
IE 5111 - Systems Engineering I
(2 cr; Prereq-CSE upper div or grad student; A-F or Audit; offered Every Fall)
Overview of systems-level thinking/techniques in context of an integrated, design-oriented framework. Elements of systems engineering process, including lifecycle, concurrent, and global engineering. Framework for engineering large-scale, complex systems. How specific techniques fit into framework.
IE 5113 - Systems Engineering II
(4 cr; A-F or Audit; offered Every Spring)
Systems engineering thinking/techniques presented in 5111. Hands-on techniques applied to specific problems. Topics pertinent to effectiveness of design process. Practices and organizational/reward structure to support collaborative, globally distributed design team.
IE 5285 - Engineering the Allocation of Public Resources
(4 cr; Student Option; offered Every Spring)
This course takes an in-depth look at policies governing the allocation of public resources. We will take an engineering perspective, first defining desirable properties (such as efficiency, incentive compatibility, and fairness) and then studying how to design systems with these properties. We will cover static matching algorithms (deferred acceptance, top trading cycles, and quota and reserve systems) as well as dynamic waiting lists and lotteries. Applications covered will include the allocation of public school seats, immigrant and non- immigrant visas, civil service positions, organs from living and deceased donors, affordable housing, and permits for hiking, hunting and fishing. prerequisites: CSE upper div or instructor consent
IE 5441 - Financial Decision Making
(4 cr; Prereq-CSE upper div or grad student; A-F only; offered Periodic Fall & Spring)
Cash flow streams, interest rates, fixed income securities. Evaluating investment alternatives, capital budgeting, dynamic cash flow process. Mean-variance portfolio selection, Capital Asset Pricing Model, utility maximization, risk aversion. Derivative securities, asset dynamics, basic option pricing theory.
IE 5511 - Human Factors and Work Analysis
(4 cr; Prereq-Upper div CSE or grad student; A-F or Audit; offered Every Fall)
Equivalent courses: HUMF 5211, IE 4511, ME 5211 (inactive)
Human factors engineering (ergonomics), methods engineering, and work measurement. Human-machine interface: displays, controls, instrument layout, and supervisory control. Anthropometry, work physiology and biomechanics. Work environmental factors: noise, illumination, toxicology. Methods engineering, including operations analysis, motion study, and time standards.
IE 5522 - Quality Engineering and Reliability
(4 cr; Prereq-[4521 or equiv], [upper div or grad student or CNR]; Student Option; offered Every Spring)
Quality engineering/management, economics of quality, statistical process control design of experiments, reliability, maintainability, availability.
IE 5524 - Process Transformation through Lean Tools
(2 cr; A-F only; offered Every Fall)
Lean is a systematic methodology that improves processes by identifying and removing sources of waste in an organization. Lean tools, such as value stream mapping, Kaizen, kanban systems, visual systems, and 5S, improve processes by identifying and removing sources of waste. In this course, you will learn and utilize key Industrial Engineering methodologies to identify opportunities, prioritize these opportunities, develop solutions and create cost models of the solutions effectiveness. Applications of lean process improvement in areas such as manufacturing, healthcare, service operations, and business processes will be considered.
IE 5531 - Engineering Optimization I
(4 cr; Prereq-Upper div or grad student or CNR; Student Option; offered Every Fall)
Linear programming, simplex method, duality theory, sensitivity analysis, interior point methods, integer programming, branch/bound/dynamic programming. Emphasizes applications in production/logistics, including resource allocation, transportation, facility location, networks/flows, scheduling, production planning.
IE 5532 - Stochastic Models
(4 cr; Prereq-Undergraduate probability and statistics. Familiarity with computer programming in a high level language.; Student Option; offered Every Fall)
Introduction to stochastic modeling and stochastic processes. Probability review, random variables, discrete- and continuous-time Markov chains, queueing systems, simulation. Applications to industrial and systems engineering including production and inventory control.
IE 5533 - Operations Research for Data Science
(3 cr; A-F only; offered Every Fall)
This course combines data, modeling, and decision-making to provide students with experience solving practical problems in a variety of application areas, including healthcare and medical decision-making, supply chains and e-commerce, and finance and revenue management. To this end, case studies will be used to illustrate the sequence of problem definition, data analysis, model building, and decision support. The example problems are realistic in terms of size and complexity and the data sets are realistic in that the quality of the data is less-than-perfect. The first part of the course focuses on deterministic models while the second part of the course covers stochastic models. A high-level programming language such as R is used for data manipulation and for predictive analytics. An algebraic modeling language such as AMPL is used for models that require linear/integer programming. The solutions and their sensitivity to changes in parameters are interpreted to aid decision-makers. Throughout the course, the methodologies are kept in perspective with the overall goal of making better decisions.
IE 5541 - Project Management
(4 cr; Prereq-Upper div or grad student; A-F only; offered Every Fall & Spring)
Equivalent courses: IE 4541W
Introduction to engineering project management. Analytical methods of selecting, organizing, budgeting, scheduling, and controlling projects, including risk management, team leadership, and program management.
IE 5545 - Decision Analysis
(4 cr; Prereq-3521 or equiv; Student Option; offered Every Spring)
Single-person and group decision problems. Structuring of decision problems arising in personal, business, and public policy contexts. Decision-making under uncertainty, value of information, games of complete information and Nash equilibrium, Bayesian games, group decision-making and distributed consensus, basics of mechanism design.
IE 5551 - Production and Inventory Systems
(4 cr; Prereq-CNR or upper div or grad student; Student Option; offered Every Spring)
Inventory control, supply chain management, demand forecasting, capacity planning, aggregate production and material requirement planning, operations scheduling, and shop floor control. Quantitative models used to support decisions. Implications of emerging information technologies and of electronic commerce for supply chain management and factory operation.
IE 5553 - Simulation
(4 cr; Prereq-Upper div or grad student; familiarity with probability/statistics recommended; Student Option; offered Every Fall)
Equivalent courses: IE 3553
Discrete event simulation. Using integrated simulation/animation environment to create, analyze, and evaluate realistic models for various industry settings, including manufacturing/service operations and systems engineering. Experimental design for simulation. Selecting input distributions, evaluating simulation output.
IE 5561 - Analytics and Data-Driven Decision Making
(4 cr; Student Option; offered Every Spring)
Hands-on experience with modern methods for analytics and data-driven decision making. Methodologies such as linear and integer optimization and supervised and unsupervised learning will be brought together to address problems in a variety of areas such as healthcare, agriculture, sports, energy, and finance. Students will learn how to manipulate data, build and solve models, and interpret and visualize results using a high-level, dynamic programming language. Prerequisites: IE 3521 or equivalent; IE 3011 or IE 5531 or equivalent; proficiency with a programming language such as R, Python, or C.
IE 5571 - Reinforcement Learning and Dynamic Programming
(4 cr; Student Option; offered Fall Odd Year)
Equivalent courses: IE 8571
Topics are methods for solving problems in sequential decision making. We will introduce the modeling framework of Markov Decision Processes (MDP), and the classic solution approach of dynamic programming. We will discuss the traditional solution approaches to dynamic programming of value and policy iteration. We will then move onto model free methods of finding optimal policies for MDPs such as Monte Carlo and Temporal Difference methods. We will discuss the extension of these methods to problems with large state spaces where it is necessary to introduce parametric approximations such as deep neural networks. Examples will be drawn from problems in navigation, medicine, game play, and others. Prerequisites: Knowledge of probability, optimization, and linear algebra at the undergraduate level.
IE 5773 - Practice-focused Seminar
(1 cr; S-N or Audit; offered Every Fall)
Industry and academic speakers, topics relevant to analytics practice.
IE 5801 - Capstone Project
(4 cr; A-F only; offered Every Fall)
Students work on ISyE Analytics Track capstone project in small teams of two or three. Projects are supervised by industry mentor and faculty adviser. Projects involve application of techniques from Analytics Track curriculum. Prerequisites: ISyE Analytics Track MS Student; IE 5531; IE 5561; Stat 5302; CSci 5521 or 5523.
IE 8333 - FTE: Master's
(1 cr; Prereq-Master's student, adviser and DGS consent; No Grade Associated; offered Every Fall, Spring & Summer; 6 academic progress units; 6 financial aid progress units)
(No description)
IE 8444 - FTE: Doctoral
(1 cr; Prereq-Doctoral student, adviser and DGS consent; No Grade Associated; offered Every Fall, Spring & Summer; 6 academic progress units; 6 financial aid progress units)
(No description)
IE 8521 - Optimization
(4 cr; Prereq-Familiarity with linear algebra and calculus.; Student Option; offered Every Fall)
Theory and applications of linear and nonlinear optimization. Linear optimization: simplex method, convex analysis, interior point method, duality theory. Nonlinear optimization: interior point methods and first-order methods, convergence and complexity analysis. Applications in engineering, economics, and business problems.
IE 8531 - Discrete Optimization
(4 cr; Student Option; offered Periodic Fall & Spring; may be repeated for 8 credits; may be repeated 2 times)
Topics in integer programming and combinatorial optimization. Formulation of models, branch-and-bound. Cutting plane and branch-and-cut algorithms. Polyhedral combinatorics. Heuristic approaches. Introduction to computational complexity.
IE 8532 - Stochastic Processes and Queuing Systems
(4 cr; Prereq-4521 or equiv; Student Option; offered Every Fall)
Introduction to stochastic modeling and processes. Random variables, discrete and continuous Markov chains, renewal processes, queuing systems, Brownian motion, and elements of reliability and stochastic simulation. Applications to design, planning, and control of manufacturing and production systems.
IE 8533 - Advanced Stochastic Processes and Queuing Systems
(4 cr; Prereq-8532 or instr consent; Student Option; offered Periodic Spring)
Renewal and generative processes, Markov and semi-Markov processes, martingales, queuing theory, queuing networks, computational methods, fluid models, Brownian motion.
IE 8534 - Advanced Topics in Operations Research (Topics course)
(1 cr [max 4]; Student Option; offered Periodic Fall & Spring; may be repeated for 8 credits; may be repeated 2 times)
Special topics determined by instructor. Examples include Markov decision processes, stochastic programming, integer/combinatorial optimization, and queueing networks.
IE 8535 - Introduction to Network Science
(4 cr; Student Option; offered Periodic Fall & Spring)
Topics include deterministic and random networks, network flows, matching, game theory, distributed decision making in networks, cooperation in networks, cascades in networks, wisdom of crowds, applications in voting, prediction markets, consumer behavior modeling, revenue management, inventory control and finance. This course is offered to graduate students. Undergraduate students must get permission from the instructor for registering. Prerequisites include probability and optimization (5531 and 8532) but students who have taken similar courses or have the mathematical background can register by instructor permission.
IE 8536 - Advanced Topics in Engineering Management (Topics course)
(4 cr; A-F or Audit; offered Periodic Fall & Spring; may be repeated for 8 credits; may be repeated 2 times)
Areas such as financial engineering, revenue management, management of health systems, service operations, management of technology, and public policy.
IE 8538 - Advanced Topics in Information Systems
(4 cr; Prereq-8541, college-level computer programming course; A-F or Audit; offered Periodic Fall & Spring)
Decision support methods. Case studies of specific systems. Methods for testing usability/performance. Trust/over-reliance, their impact on system performance. System-level issues, general planning, design, information analysis, problem paradigms. How to frame problems. Techniques to combine engineering and information technology.
IE 8541 - Decision Support Systems
(4 cr; A-F or Audit; offered Periodic Fall & Spring)
Equivalent courses: HUMF 8541
Decision Support Systems (DSSs) to assist people in making better decisions, interpreting complex information, and managing complex situations safely/effectively. Principles of human-centered design, cognitive engineering, and evaluation. Applications in projects of students' own choosing.
IE 8552 - Advanced Topics in Production, Inventory, and Distribution Systems (Topics course)
(4 cr; Prereq-5551; Student Option; offered Periodic Fall & Spring; may be repeated for 8 credits; may be repeated 2 times)
Cutting edge research issues in production, inventory, distribution systems. Stochastic models of manufacturing systems, stochastic inventory theory, multi-echelon inventory systems/supply chains, supplier-retailer/supplier-manufacturer coordination, supplier/warehouse networks, business logistics, transportation.
IE 8554 - Advanced Production and Inventory Systems
(4 cr; Student Option; offered Every Spring)
Introduction to quantitative methods for managing production, inventory, and distribution systems. Topics covered include demand modeling and forecasting, inventory management, supply chain coordination, revenue management, production planning and scheduling, and management of manufacturing operations.
IE 8564 - Optimization for Machine Learning
(4 cr; Student Option; offered Every Fall)
Machine learning has been widely used in many areas such as computer vision, search engines, speech recognition, robotics, recommender systems, bioinformatics, social networks, and finance. It has become an important tool in prediction and data analysis. This course provides a comprehensive overview of important optimization models for machine learning. It also systematically provides a theoretical and computational study on various optimization methods for solving these models and more general problems.
IE 8566 - Convex Conic Optimization
(4 cr; Student Option; offered Periodic Fall & Spring)
This course introduces the fundamentals of convex analysis and its applications in continuous optimization. In the course, the modeling power of convex conic optimization for solving a wide variety of engineering problems will be illustrated. Interior point methods and their iteration complexity analysis will be introduced for solving convex conic optimization models such as semidefinite programming.
IE 8571 - Advanced Reinforcement Learning and Dynamic Programming
(4 cr; Student Option; offered Fall Odd Year)
Equivalent courses: IE 5571
Topics are methods for solving problems in sequential decision making. We will introduce the modeling framework of Markov Decision Processes (MDP), and the classic solution approach of dynamic programming. We will discuss the traditional solution approaches to dynamic programming of value and policy iteration. We will then move onto model free methods of finding optimal policies for MDPs such as Monte Carlo and Temporal Difference methods. We will discuss the extension of these methods to problems with large state spaces where it is necessary to introduce parametric approximations such as deep neural networks. Examples will be drawn from problems in navigation, medicine, game play, and others. We will discuss the convergence proofs for a variety of the algorithms in the so-called 'tabular setting', e.g., policy iteration, value iteration, Q-learning, and Sarsa. Prerequisites: Knowledge of probability, optimization, and linear algebra at the undergraduate level. Knowledge of Markov chains at level of IE 8532 or equivalent. Ability to read and write mathematical proofs.
IE 8666 - Doctoral Pre-Thesis Credits
(1 cr [max 6]; Prereq-Doctoral student who has not passed prelim oral; no required consent for 1st/2nd registrations, up to 12 combined cr; dept consent for 3rd/4th registrations, up to 24 combined cr; doctoral student admitted before summer 2007 may register up to four times, up to 60 combined cr; No Grade Associated; offered Every Fall, Spring & Summer; may be repeated for 12 credits; may be repeated 2 times)
tbd
IE 8773 - Graduate Seminar
(1 cr; S-N or Audit; offered Every Fall & Spring)
Recent developments.
IE 8774 - Graduate Seminar
(1 cr; Prereq-8773; S-N or Audit; offered Every Fall & Spring)
Recent developments.
IE 8777 - Thesis Credits: Master's
(1 cr [max 18]; Prereq-Max 18 cr per semester or summer; 10 cr total required (Plan A only); No Grade Associated; offered Every Fall, Spring & Summer; may be repeated for 50 credits; may be repeated 10 times)
(No description)
IE 8794 - Industrial Engineering Research
(1 cr [max 6]; Prereq-instr consent; Student Option; offered Every Fall, Spring & Summer; may be repeated for 10 credits; may be repeated 10 times)
Directed research.
IE 8888 - Thesis Credit: Doctoral
(1 cr [max 24]; Prereq-Max 18 cr per semester or summer; 24 cr required; No Grade Associated; offered Every Fall, Spring & Summer; may be repeated for 100 credits; may be repeated 10 times)
(No description)
IE 8951 - Plan B Course
(1 cr; S-N or Audit; offered Every Fall)
Structured environment in which students can complete M.S. Plan B project.
IE 8953 - Plan B
(2 cr; Prereq-8951; A-F or Audit; offered Every Spring)
Structured environment in which students can complete M.S. Plan B project.
IE 8991 - Curricular Practical Training
(1 cr [max 2]; S-N only; offered Every Fall, Spring & Summer; may be repeated for 6 credits; may be repeated 3 times)
Industrial work assignment involving advanced mechanical engineering. Review/approval by faculty member/director of graduate studies. Final report covering work assignment.

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