# Courses

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## Industrial Engineering Courses

### INE212 Computer Applications in INE

#### [1–2, 2 cr.]

This is an introductory course on computer applications in Industrial engineering.  Course covers LINGO as a general purpose modelling language for writing and solving mathematical programs for INE applications; MATLAB including array definitions and manipulations, user-defined functions, plotting and built-in functions for data analysis and MATLAB Optimization and Statistics toolbox; and Excel for data analysis, statistical tests, design of experiments, and statistical quality control and process improvements.

Prerequisites: COE212 Engineering programming, GNE333 Engineering Analysis

Co-requisite: INE307 Deterministic OR Models

### INE307 Deterministic OR models

#### [3–0, 3 cr.]

Introduction to deterministic OR modeling. Optimization modeling: decision variables, objective functions, and constraints. Models include linear programs, integer programs, transportation and assignment problems, simple network problems. Methods include simplex method, transportation simplex, shortest path, minimum cost flow, and maximum flow problems.

Pre-requisites: GNE333 Engineering Analysis I, COE 212 Engineering Programming

### INE308 Stochastic OR Models

#### [3–0, 3 cr.]

Introduction to discrete Markov chains and continuous Markov Processes, including transient and limiting behavior.  The Poisson/ Exponential process. Conditional probabilities and conditional expectations. Applications to reliability, maintenance, inventory, production, simple queues and other engineering problems.  Introduction to decision theory, risk, utility and decision trees.

Pre-requisites: GNE331 Probability and Statistics.

### INE320 Engineering Economy I

#### [3–0, 3 cr.]

This course covers equivalence and interest formulas, real-world transactions, present worth analysis, annual equivalent worth, rate of return analysis, depreciation, inflation, and cost/benefit ratio.

Pre-requisite: Third-year standing.

### INE320H Engineering Economy I

#### [3–0, 3 cr.]

This course covers equivalence and interest formulas, real-world transactions, present worth analysis, annual equivalent worth, rate of return analysis, depreciation, inflation, and cost/benefit ratio.

Pre-requisite: Third-year standing.

#### [3–0, 3 cr.]

This course covers single factor experiments, randomized blocks, Latin squares, introduction to factorial designs, 2k factorial blocking and confounding, and forecasting.

Pre-requisite: GNE331 Probability and Statistics.

### INE346 Production Systems I

#### [3–0, 3 cr.]

Course is an introduction to subjects that span the industrial engineering curriculum and that are covered in greater detail in more advanced courses. Subjects covered are Forecasting, EOQ, safety stock, Process design, Aggregate Planning, facilities planning and logistics, quality control, human factors, ergonomics and work design, principles of Industrial Management and Project management.

Pre-requisites: GNE331 Probability and Statistics, INE307 Deterministic OR models.

### INE362 Manufacturing Processes

#### [3–0, 3 cr.]

This course offers a balanced quantitative and qualitative coverage of manufacturing processes: Casting, Material Removal, Deformation, Welding and Assembly. Course presents an overview of engineering materials, primary-manufacturing processes and includes projects tailored towards using manufacturing processes for obtaining functional products.

Pre-requisite: MEE321 Material Properties and Processes.

### INE363 Manufacturing Lab

#### [0–3, 1 cr.]

Lab provides students with hands on experience in the use of traditional mechanical workshop equipment and software for manufacturing drawings generation. Students are also introduced to CNC Programming.

Co-requisite: INE362 Manufacturing Processes.

### INE407 Network Flow

#### [3–0, 3 cr.]

This course covers networks, shortest/longest path, decision trees, and network flow.

Pre-requisite: INE307 Deterministic OR models or Consent of instructor.

### INE416 Ergonomics

#### [3–0, 3 cr.]

Course covers the biomechanics of the musculoskeletal system; anthropometry; manual work design; lifting; motion study; workstation, tools, and tasks design; displays & controls design; machine user interfaces; environmental stress assessment (noise, heat, illumination); toxicology; cognitive work design; operations analysis; worker and machine relationships; productivity measures; time standards; allowances; work sampling; predetermined time systems; learning curves; wage payment; safety and risk factor identification; worker motivation; job evaluation; job compensation.

Pre-requisites: Fourth year standing.

### INE417 Ergonomics Lab

#### [0–3, 1 cr.]

Lab provides students with hands on experience in the use of the state of the art ergonomics equipment and software for virtual human modeling.

Co-requisite: INE416 Ergonomics.

### INE428 Project Management

#### [3–0, 3 cr.]

Course covers topics on organization structures, project manager-line manager interface, manager’s role as planning agent, skill requirements for project manager, management functions, team building as an ongoing process, concurrent engineering as a PM approach, TQM as a PM approach, effective team communication and communication traps, project communication, effective time management, managing conflicts and conflict resolution, ethics obligation matrix and ethics for project managers, project planning, project time management, activity planning, CPM scheduling, and resource allocation.  Course includes a team project to plan and schedule the implementation of a selected project.

Co-requisite: GNE303 Engineering Ethics.

### INE438 Facilities Planning & Logistics

#### [3–0, 3 cr.]

Course covers topics in flow measurements and analysis, flow planning, activity planning and relationships, layout planning, single facility location models minimax and minisum facility location, multiple facility location, process capacity analysis, materials handling capacity analysis, facilities planning in the context of supply chain design and supply chain excellence.

Pre-requisites: INE446 Production Systems II.

### INE442 Quality Control

#### [3–0, 3 cr.]

This course covers the modeling process quality, inferences about process quality, statistical process control, types of control charts, acceptance sampling, and process capability analysis.

Pre-requisites: INE346 Production Systems I.

### INE446 Production Systems II

#### [3–0, 3 cr.]

Course covers topics on Inventory analysis, Forecasting, Machine Scheduling, sequencing, cycle time, material control, Manufacturing systems, e.g., cellular, group technology, flexible, lean, JIT, MRP, and ERP. Concurrent engineering and design for manufacturing.

Pre-requisites: INE346 Production Systems I.

### INE450 Simulation

#### [3–0, 3 cr.]

This course covers random number generation, random variety generation, components of discrete event simulation, learning simulation software, and the simulation of simple systems: queuing, inventory, manufacturing, QC, transportation, layout.

Pre-requisites: GNE331 Probability and Statistics, and COE212 Computer Programming.

### INE451 Simulation Lab

#### [0–2, 1 cr.]

Lab course complements the course INE450 simulation. This lab provides students with hands-on experience in the use of state of the art simulation tools and programs such as ARENA.

Co-requisite: INE450 Simulation.

### INE491 Seminar on Contemporary Issues in INE

#### [2–0, 2 cr.]

This is a seminar course covering contemporary issues in Industrial Engineering. Students are asked to research contemporary subjects in the field and present findings to the class.

Pre-requisites: Fourth-year standing.

### INE498 Professional Experience

#### [0–6, 6 cr.]

This course covers professional experience, through training in the execution of real-life engineering projects.

Pre-requisites: Fifth-year standing and the consent of the instructor.

### INE506 Decision Analysis

#### [3–0, 3 cr.]

This course covers decision analysis, game theory, Bayesian decision theory, and the utility theory.

Pre-requisite: GNE331 Probability and Statistics, and consent of instructor.

### This course deals with the uncertainty, breakeven analysis, sensitivity analysis, probabilistic risk analysis, and accounting principles.

Pre-requisites: INE320 Engineering Economy I.

### INE523 Financial Engineering

#### [3 cr.]

Introduction to financial models: mean-variance analysis, portfolio selection, separation theorems, capital asset pricing, arbitrage pricing, derivative security pricing, bond management. Modeling, analysis, and computation of derivative securities. Applications of stochastic calculus and stochastic differential equations. Numerical techniques: finite-difference, binomial method, and Monte Carlo simulation.

Prerequisites: INE308 Stochastic Processes and consent of instructor.

### INE527 Project Scheduling

#### [3–0, 3 cr.]

This course covers the basic critical path planning and scheduling, with arrow and precedence networks, introduction to resource leveling, and least cost scheduling, including time-cost trade-off analysis, and schedule control.

Pre-requisites: consent of instructor or fourth-year standing.

### INE529 Project Contracting

#### [3–0, 3 cr.]

This course covers construction contracting for contractors, owners, and engineers. (1) Industry structure, (2) Types of contracts and delivery systems of construction, (3) Planning, estimating, quantity takeoff and pricing, labor and equipment estimate, (4) Proposal preparation, and students use of contract documents to prepare detailed estimates.

Pre-requisites: Consent of instructor or fourth-year standing.

### INE541 Quality Management Systems

#### [3–0, 3 cr.]

Course covers Total Quality Management theories and application, Design for Six Sigma (DFSS) and six sigma approaches, DMAIC, Auditing, ISO standards and ISO certification.

Pre-requisites: Consent of instructor and fourth-year standing.

### INE542 Supply Chain Management

#### [3–0, 3 cr.]

Special topics of current interest; Treatment of new developments in various areas of industrial engineering as warranted; Network Design in a Supply Chain; Demand Forecasting and Aggregate Planning; Transportation Networks; Sourcing.

Pre-requisites: Consent of instructor and fourth-year standing.

### INE544 Inventory Analysis

#### [3–0, 3 cr.]

This course covers continuous/periodic/ deterministic/stochastic inventory models, materials requirements planning (MRP), just-in time production systems, assembly systems, and flexible manufacturing distribution systems.

Pre-requisites: INE446 Production Systems II or consent of instructor.

### INE548 Machine Scheduling

#### [3–0, 3 cr.]

This course covers basic single machine problem (BSMP), flow shop scheduling with setup cost (TSP), and vehicle routing.

Pre-requisites: INE446 Production Systems II or consent of instructor.

#### [3–0, 3 cr.]

This course introduces students to the use of product lifecycle management (PLM) software packages for sketching, drafting, modeling, assembly and prototyping. Course includes projects tailored towards using software to the design and manufacturing of a physical product.

Pre-requisite: INE362 Manufacturing Processes

### INE591 Project I

#### [3–0, 3 cr.]

This course covers selected engineering project, using acquired technical knowledge, formal report, and presentation.

Pre-requisites: Fifth year standing and INE362 Manufacturing Processes, INE450 Simulation, INE446 Production Systems II.

Co-requisites: INE593 Capstone Engineering Design and INE428 Project Management.

### INE592 Project II

#### [3–0, 3 cr.]

This course covers advanced engineering project, using acquired technical knowledge, formal report, and presentation.

Pre-requisites: Fifth-year standing and INE591 Project I.

### INE593 Capstone Engineering Design

#### [1–0, 1 cr.]

The course will reinforce and integrates topics covered in other courses in the curriculum and used in engineering design.  Topics covered include need identification and problem definition, managing the design process, team behavior and group dynamics, design research and information gathering, concept generation and evaluation, risk, reliability, and safety, legal and ethical issues in design, communicating the design.

Co-requisites: Project I.

#### [3–0, 3 cr.]

This course covers advanced engineering undergraduate research project, using acquired technical knowledge, formal report, and Presentation.

Pre-requisites: Fifth year standing and the consent of the instructor; GPA ≥ 3.0

#### [3–0, 3 cr.]

This course covers advanced engineering undergraduate research project, using acquired technical knowledge, formal report, and Presentation.

Pre-requisites: Fifth year standing and the consent of the instructor; GPA ≥ 3.0

### INE599 Topics in Industrial Engineering

#### [1–3, 3 cr.]

This course covers the treatment of new development, in various areas of industrial engineering.

Pre-requisites: Fourth-year standing.

### INE599A Lean Manufacturing

#### [3–0, 3 cr.]

This is an introduction course for all engineering disciplines.  The course focuses on the concepts, principles, tools and techniques of Lean Manufacturing.  Examples from the manufacturing environment and administrative functions will be utilized to explain key concepts.

Prerequisites: Fourth/Fifth year standing

### INE599D Intro to System Dynamics

#### [3–0, 3 cr.]

This course introduces you to system dynamics modeling for the analysis of policy and strategy in an industrial context.  System dynamics allows us to abstract complex situations down to a level where we can visualize the long-term side effects of decisions, and systematically explore new strategies and policies that increase performance and reduce undesirable side effects.  We use role playing games, simulation models and case studies to develop sound principles of policy design for successful management of complex strategies.

Prerequisites: Sophomore Standing.

### INE599G Six Sigma

#### [3–0, 3 cr.]

This is an introduction course for engineering disciplines.  The course focuses on the concepts, principles, tools and techniques of Six Sigma.  Examples from the manufacturing environment and administrative functions will be utilized to explain key concepts.

Prerequisites: Fourth/Fifth year standing

### INE599I Industrial Engineering Applications in Services Industries

#### [3–0, 3 cr.]

This is an introduction course for all engineering disciplines.  The course focuses on the application of Industrial Engineering tools and principles to improve the quality and productivity of service industries such as restaurants, banks, hotels, health care, etc. This course includes lecture, case studies as well as project.

Prerequisites: Fourth/Fifth year standing

### INE599K Risk Assessment and Management

#### [3–0, 3 cr.]

Risk assessment and management is the identification, analysis, and prioritization of risks; as well as the coordinated treatment of risk to prevent, minimize, monitor, and control the probability and/or impact of undesirable events and consequences. Areas covered include the principles and applications of risk assessment and management in the context of engineering management and systems engineering. This course is about the systematic approach to the management of risk as applied to engineering, operations, and management decisions Students will be prepared to function in a business environment, developing an awareness of the challenges, the tools, and the process of designing and implementing risk assessment and management strategies.

Prerequisite: GNE331 Probability and Statistics

#### [3–0, 3 cr.]

This course covers single factor experiments, randomized blocks, Latin squares, introduction to factorial designs, 2k factorial blocking and confounding, and forecasting.

### INE701 Linear programming

#### [3–0, 3 cr.]

This course covers the formulation of linear programming problems, simplex method, and duality and sensitivity analysis.

### INE702 Integer Programming

#### [3–0, 3 cr.]

This course covers integer programming, and general search techniques.

### INE703 Dynamic Programming

#### [3–0, 3 cr.]

This is a course on the theory and practice of dynamic programming. Topics covered in Deterministic DP: Shortest path algorithms including label setting and correcting, A*, and solution horizon approaches, with applications in resource allocation, knapsack problem, capacity expansion, equipment replacement, and traffic routing; infinite decision trees and dynamic programming networks with cycles. Topics covered in Stochastic DP are stochastic shortest path problem and Markov decision processes. Applications include asset divesture, capital budgeting, portfolio selection, inventory control, systems reliability, and maximization of expected utility with constant risk posture.

Prerequisites: INE701 Linear Programming

### INE704 Stochastic Processes

#### [3–0, 3 cr.]

This course covers Markov decision processes, and chains stochastic processes.

### INE705 Non-Linear Programming

#### [3–0, 3 cr.]

This course covers nonlinear/continuous optimization methods.

### INE706 Decision Analysis

#### [3–0, 3 cr.]

This course covers decision analysis, game theory, Bayesian decision theory, and utility theory.

### INE707 Network Flow

#### [3–0, 3 cr.]

This course covers networks, shortest/longest path, decision trees, and network flow.

### INE708 Queuing Theory & Application

#### [3–0, 3 cr.]

This course is an introduction to congestion and related stochastic models. Topics include birth and death models, measures of performance, Little’s Law, conservation law, PASTA, work in system, service disciplines and priorities, regenerative processes, stability and stationary distributions, approximations and bounds. Examples from telecommunications, production, inventory, and computer science, are covered.

#### [3–0, 3 cr.]

This course is an introduction to martingales in continuous time. Brownian motion: construction, basic properties, sample paths. Stochastic integration, Its rule, and applications, are discussed. The course is an introduction to stochastic differential equations and diffusion processes. Applications to financial economics: option pricing, and consumption/investment problems, are also covered.

Prerequisites: INE704 Stochastic Processes

#### [3–0, 3 cr.]

This course covers an analysis of simulation data: input and output, validation and verification of system design, comparing alternative system configuration, simulation of complex systems, and case studies.

### INE721 Cost Engineering and Control

#### [3–0, 3 cr.]

This course covers cost engineering for construction organizations, projects, and operations, it also covers construction financing, break-even, profit, and cash flow analyses, capital budgeting, equipment cost, and procurement decisions. Construction, financial accounting, cost accounting, cost control systems, and databases, as well as cost indices, parametric estimates, unit price proposals, measuring work, and settling claims are also covered.

Pre-requisite: INE729 Project Contracting.

### INE722 Infrastructure Management

#### [3–0, 3 cr.]

This course covers the general methods of engineering systems management, and the different types of infrastructure. The course analyzes possible financing, and engineering, solutions and alternatives, and the overall management during the life cycle of the project.

### INE724 Quality Management Systems

#### [3–0, 3 cr.]

This course is an introduction to quality management systems, ISO 9000, 14000, Total Quality Management, and the applications of QMS to the engineering, and management, of large projects, systems, and organizations.

Pre-requisite: Consent of the instructor.

### INE727 Project Scheduling

#### [3–0, 3 cr.]

This course covers the basic critical path planning, and scheduling with arrow and precedence networks, introduction to resource leveling, and least cost scheduling, including time-cost tradeoff analysis and schedule control.

### INE729 Project Contracting

#### [3–0, 3 cr.]

This course covers the construction contracting for contractors, owners and engineers. The course also covers industry structure, the types of contracts and delivery systems of construction, planning, estimating, quantity takeoff and pricing, labor and equipment estimate, and the proposal preparation. Students use contract documents to prepare detailed estimates.

### INE741 Lean Manufacturing

#### [3–0, 3 cr.]

This is an introduction course for all engineering disciplines.  The course focuses on the concepts, principles, tools and techniques of Lean Manufacturing.  Examples from the manufacturing environment and administrative functions will be utilized to explain key concepts.

Pre-requisite: Consent of the instructor

### INE742 Quality Control I

#### [3–0, 3 cr.]

This course covers the modeling process quality, inferences about process quality, statistical process control, types of control charts, acceptance sampling, and process capability analysis.

### INE743 Reliability Evaluation of Engineering Systems

#### [3–0, 3 cr.]

This course covers the concepts and basic background for evaluating the reliability of engineering systems. It covers network modeling and evaluation of simple and complex systems, cut-set method, tie-set method, multi-failure modes. Probability distributions in reliability evaluation and system reliability evaluation using probability distributions are discussed. Also, discrete and continuous Markov chains (reliability evaluation in repairable systems), frequency and duration techniques (concepts, applications to multistate problems, frequency balance approach) and the Monte Carlo simulation, are covered.

### INE744 Inventory Analysis

#### [3–0, 3 cr.]

This course covers the continuous/periodic/ deterministic/stochastic inventory models, Materials Requirements Planning (MRP), just-in-time production systems, assembly systems, and flexible manufacturing distribution systems.

### INE745 Facilities Planning and Layout

#### [3–0, 3 cr.]

This course covers the process product and schedule design, determining activity relationships and space requirements, mathematical layout models and computerized layout algorithms, location and assignment models, storage spaces and warehouse design, design of non-manufacturing facilities, airport design and the evaluation of alternative design.

### INE746 Materials Handling

#### [3–0, 3 cr.]

This course covers the materials handling equipment; selection and design of material handling systems, simulation, and interface with facilities layout.

### INE748 Machine Scheduling

#### [3–0, 3 cr.]

This course covers the Basic Single Machine Problem (BSMP); flow shop scheduling with setup cost (TSP); vehicle routing.

Pre-requisite: INE302 Linear Programming.

### INE749 Transportation and Supply Chain Systems

#### [3–0, 3 cr.]

This course covers the topics of supply chain characterization, site location, mode selection, distribution planning, vehicle routing, demand management, replenishment management, geographic information systems, and real-time control issues.

Prerequisite: Consent of the Instructor.

### INE761 Computer Aided Design/Computer Aided Manufacturing

#### [3–0, 3 cr.]

This course covers the use of computer-aided design software packages, including systems for computer-aided drafting, solid modeling, finite element analysis, and computer-aided manufacturing, and design projects including the fabrication of physical prototypes generated with numerically controlled machines.

### INE762 Analysis of Automated Manufacturing Systems

#### [3–0, 3 cr.]

This course covers the development of analytical stochastic models as the basis for understanding the performance, and the design/planning aspects of automated manufacturing systems. The course focuses on flow lines, job shops, and flexible manufacturing systems.

### INE763 Advanced Information Technology for Industrial & Manufacturing Engineering

#### [3–0, 3 cr.]

This course covers advanced information technology concepts, tools, and techniques, for designing, and implementing, manufacturing systems.

### INE764 Times Series Control & Process Adjustment

#### [3–0, 3 cr.]

This course covers the statistical analysis and design of process adjustment methods for quality improvement purposes. Topics include ARIMA time series models, autocorrelation and SPC, integration of SPC schemes and feedback control, identification and estimation of transfer function models, design and analysis of optimal stochastic controllers, PID and EWMA controllers, self-tuning and multivariate control.

### INE765 Intro to Systems Dynamics

#### [3–0, 3 cr.]

This course introduces you to system dynamics modeling for the analysis of policy and strategy in an industrial context.  System dynamics allows us to abstract complex situations down to a level where we can visualize the long-term side effects of decisions, and systematically explore new strategies and policies that increase performance and reduce undesirable side effects.  We use role playing games, simulation models and case studies to develop sound principles of policy design for successful management of complex strategies.

Pre-requisite: Consent of the instructor

### INE771 Financial Engineering

#### [3–0, 3 cr.]

This course is an introduction to financial models: mean-variance analysis, portfolio selection, separation theorems, capital asset pricing, arbitrage pricing, derivative security pricing, bond management, modeling, analysis, and computation of derivative securities. Applications of stochastic calculus and stochastic differential equations are covered, as well as numerical techniques: finite-difference, binomial method, and Monte Carlo simulation.

Prerequisites: INE704 Stochastic Processes.

#### [3–0, 3 cr.]

This course is a review of basic mathematics, including renewal theory and stochastic calculus,Martingale approach to Black-Scholes formula, optimal stopping and American options, pricing of continuous and discrete exotic options, term structure models and pricing of bond options, jump diffusion models, and applications, including pricing of real and electricity options, and hedging of real options.

### INE773 Risk Assessment and Management

#### [3–0, 3 cr.]

Risk assessment and management is the identification, analysis, and prioritization of risks; as well as the coordinated treatment of risk to prevent, minimize, monitor, and control the probability and/or impact of undesirable events and consequences. Areas covered include the principles and applications of risk assessment and management in the context of engineering management and systems engineering. This course is about the systematic approach to the management of risk as applied to engineering, operations, and management decisions Students will be prepared to function in a business environment, developing an awareness of the challenges, the tools, and the process of designing and implementing risk assessment and management strategies.

Pre-requisite: Consent of the instructor

### INE781 Engineering Economy II

#### [3–0, 3 cr.]

This course covers the principles of investing, including investment strategies, investment in stocks and bonds. Project risk and uncertainty with focus on break-even analysis, decision trees, and sequential investment decisions, are discussed. Capital budgeting, including the choice of minimum attractive rate of return under capital rationing, evaluation of multiple investment alternatives and capital budgeting with limited budgets are covered, as well as the Monte Carlo Simulation.

Prerequisite: Consent of the Instructor.

### INE800 Project Course

#### [3–0, 3 cr.]

This course is an applied design course. Design reviews and a final oral presentation with a written report are required.

Pre-requisite: Consent of the instructor.

### INE801 Special Topic Courses

#### [3–0, 3 cr.]

Topics of current interest selected by instructor.

### INE810 Special Topics in Optimization

#### [3–0, 3 cr.]

This course covers topics of current interest in optimization, selected by instructor.

Pre-requisite: Consent of the instructor.

### INE820 Special Topics in Infrastructure & Construction Management

#### [3–0, 3 cr.]

This course covers topics of current interest in infrastructure, and construction management, selected by instructor.

Pre-requisite: Consent of the instructor.

### INE840 Special Topics in Production Systems & Manufacturing

#### [3–0, 3 cr.]

This course covers topics of current interest in production systems and manufacturing, selected by instructor.

Pre-requisite: Consent of the instructor.

### INE860 Special Topics in Computational Modeling and Data Analytics

#### [3–0, 3 cr.]

This course covers topics of current interest in computational modelling and data analytics, selected by the instructor.

### INE870 Special Topics in Finance & Economics

#### [3–0, 3 cr.]

This course covers topics of current interest in finance, and economics, selected by the instructor.

### INE899 Thesis

#### [6–0, 6 cr.]

This course is an independent directed study, design, research in the field of interest of the student or instructor.