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-- Select an IE Course to View Description-- IE 1104: Intro to Engineering IE 1105: Intro to Engineering Lab IE 2305: Computer Applications in IE IE 3301: Engineering Probablility IE 3312: Economics for Engineers IE 3314: Eng. Research Methods IE 3315: Operations Research I IE 3343: Metrics and Measurement IE 4191: Special Problems in IE IE 4291: Special Problems in IE IE 4300: Topics in Industrial Engineering IE 4302: Eng. Admininstration & Organization IE 4303: Production & Inventory Control IE 4304: Enterprise Systems IE 4308: Statistical Quality Control IE 4310: Industrial & Product Safety IE 4315: Operations Research II IE 4318: Enterprise Systems Design IE 4322: Enterprise Simulation IE 4325: Automation & Robotics I IE 4339: Product Dev, Produc, & Reliability Design IE 4343: Facilities Planning and Design IE 4344: Human Factors Engineering IE 4345: Knowledge & Technology Mgmt. IE 4349: Industrial Automation IE 4350: IE Capstone Design IE 4391: Special Problems in IE IE 5191: Advanced Studies in IE IE 5291: Advanced Studies in IE IE 5300: Topics in IE IE 5301: Advanced Operations Research IE 5303: Quality Systems IE 5304: Advanced Engineering Economy IE 5305: Linear Programming IE 5306: Dynamic Optimization IE 5307: Queueing Theory IE 5309: stochastic Processes IE 5310: Production Systems Design IE 5311: Decision Analysis IE 5312: Planning and Control Enterprise Syst. IE 5313: Reliability & Adv. Quality Control Topics IE 5314: Safety Engineering IE 5317: Intro to Statistics & Operation Research IE 5318: Applied Regression Analysis IE 5319: Adv. Stat. Proc. Ctrl. & Time Series Analys IE 5320: Enterprise Engineering Methods IE 5321: Enterprise Analysis & Design IE 5322: Simulation and Optimization IE 5326: Industrial Biomechanics IE 5329: Production & Inventory Ctrl Syst. IE 5330: Automation & Advanced Manufacturing IE 5331: Industrial Ergonomics IE 5332: Nonlinear Programming IE 5333: Logistics Transportatiion Syst. Design IE 5334: Logistics Distribution Syst. Design IE 5335: Adv. Occupational Envir. Hygiene Eng. IE 5338: Human Engineering IE 5339: Product Design, Dev., Prod., & Reliability IE 5342: Metrics and Measurement IE 5345: Management of Knowledge & Technology IE 5346: Technology Development & Deployment IE 5350: Graduate Design Capstone IE 5351: Intro to Systems Engineering IE 5352: Systems Engineering I IE 5353: Systems Engineering II IE 5354: Systems Engineering III IE 5391: Advanced Studies in IE IE 5398: Thesis IE 5698: Thesis IE 6197: Research in Industrial Engineering IE 6297: Research in Industrial Engineering IE 6301: Enterprise Architecture & Frameworks IE 6302: Facilities Planning & Design IE 6303: Combinatorial Optimization IE 6305: Engineering Management I IE 6306: Engineering Management II IE 6308: Design of Experiments IE 6309: Response Surface Meth. & Comp. Experiments IE 6310: Industrial Applications IE 6397: Research in Industrial Engineering IE 6399: Dissertation IE 6697: Research in Industrial Engineering IE 6699: Dissertation IE 6997: Research in Industrial Engineering IE 6999: Dissertation IE 7399: Doctoral Degree Completion

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IE 1104 - Introduction to Engineering

Description:Introduction to basic engineering concepts. Students will become familiar with engineering and its many sub-fields, ethical responsibilities, creativity and design.

Textbook(s): UT Arlington's Introduction to Engineering, Prentice-Hall, 2008.

Course Objectives:

• List academic resources available on campus
• Explain UT-Arlington policies and procedures related to undergraduate students
• Describe curriculum, research areas and career types in the different engineering professions that you might enter after completing your BS degree at UT-Arlington.
• Interact with current UT-Arlington engineering seniors and recent UT-Arlington engineering alumni.
• Explain the basis for and importance of engineering ethics.
• Critique several engineering case studies for ethical and unethical behavior.
• Work in multi-disciplinary teams to design and create a device to accomplish a stated goal.
• Keep an updated logbook of classroom activities.

Topics Covered:

1. Class introduction, structure of engineering program
2. Catalog issues and engineering professionalism
3. Written communications
4. Teamwork
5. Team activity
6. Midterm
7. Engineering and student ethics (2 class periods)
8. Introduction to electrical engineering
9. Introduction to mechanical and aerospace engineering
10. Introduction to industrial engineering
11. Introduction to computer science & engineering
12. Introduction to civil engineering
13. Team project demonstrations

Class Lecture Schedule: 1 session per week, 50 minutes per session
Contribution of Course to Meeting Professional Component: 1 credit hour Engineering Topics
Contribution of Course to Program Objectives: d*, f*,
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last updated: Fall 2010

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IE 1105 - Introduction to Industrial Engineering Lab

Description: Introduction to basic engineering concepts. Opportunities are provided to develop skills in oral and written communication, and department-specific material. Case studies are presented and analyzed.

Textbook(s): None.

Course Objectives:

• Create an individualized, detailed plan including a semester by semester class schedule to complete the BSIE curriculum.
• Use the UTA research databases and appropriately cite your sources using Microsoft Word.
• Use Microsoft Excel to analyze data collected in lab experiments. Evaluate the results of the analysis.
• Describe basic concepts of a variety of industrial engineering tools.
• Develop a PowerPoint presentation and deliver an oral report.

Topics Covered:

1. Introduction to industrial engineering; UTA Computers: Account setup, e-mail setup, IE web page operation (2 class periods)
2. Presentations from IE student groups, IE lab exercise (2 class periods)
3. Microsoft Word with lab (2 class periods)
4. Microsoft Excel with lab (3 class periods)
5. Microsoft PowerPoint with lab; Curriculum Overview (3 class periods)
6. UTA Libraries: Introduction, Pulse system, On-line research databases with lab (2 class periods)
7. Introduction to statistics and quality control with lab (2 class periods)
8. Introduction to ergonomics with lab (2 class periods)
9. Introduction to operations research with lab (2 class periods)
10. Introduction to logistics (1 class periods)
11. Introduction to production and inventory control with lab (2 class periods)
12. Ethics case studies with lab (3 class periods)
13. Oral presentations (2 class periods)

Class Laboratory Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 1 credit hour Engineering Topics
Contribution to Course to Program Objectives: g*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last updated: Fall 2010

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IE 2305 - Computer Applications in Industrial Engineering Lab

Description: An overview of Industrial Engineering concepts and issues important to the design and operation of industrial and service systems. Students will learn the use of software tools developed to enhance the Industrial Engineer's ability such as database management, high level programming languages, electronic spreadsheets, and computer graphics.

Prerequisite: IE 1105 or concurrent enrollment.

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IE 3301 - Engineering Probability

Description: Topics in engineering that involve random processes. Applications and backgrounds for topics in reliability, inventory systems, and queuing problems, including absolute and conditional probabilities, discrete and continuous random variables, parameter estimation, hypothesis testing, and an introduction to linear regression, experimental design, and analysis of variance.

Prerequisite: MATH 2425.

Textbook(s): Probability and Statistics for Engineers and Scientists, by R. E. Walpole, R. H. Myers, S. L. Myers, and K. Yei; 8^th ed., Prentice Hall, New Jersey, 2007.

Course Learning Goals/Objective:

At the end of this course students should be able to:
• understand the basic concepts of probability theory and hypothesis testing
• apply those concepts to solving numerical problems especially those relating to probability distributions
• perform descriptive and inferential statistical analyses of data, and
• appreciate the use of a popular software, such as STATISTICA, SAS, or EXCEL for performing descriptive statistics and elementary statistical analyses, at least.

Topics Covered:

1. Descriptive statistics
2. Probability theory
3. Random variables and probability distributions
4. Mathematical expectations
5. Discrete probability distributions
6. Continuous probability distributions
7. Linear combinations of random variables
8. Sampling distributions
9. Estimation and confidence Intervals
10. Hypothesis testing
11. Introduction to Simple Linear Regression analysis
12. Introduction to ANOVA and Experimental Designs

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Porfessional Component: 3 credit hours Engineering Math and Basic Sciences
Relationship of Course to Program Outcomes: a*, b*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Laste Updated: Fall 2010

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IE 3312 - Economics for Engineers

Description: Tools and methods used for determining the comparative financial desirability of engineering alternatives.

Prerequisite: MATH 1426 or concurrent enrollment.

Textbook(s): The Economic Analysis of Capital Expeditures for Managers and Engineers, by G. T. Stevens, Jr., Ginn Press, 1994.

Course Learning Goals/Objectives: This course is designed to introduce students to the tools and methods used to evaluate, from an economic perspective, various engineering projects or endeavors. The course will introduce fundamental economic concepts like: exchange, the time value of money, depreciation, taxes, and minimum acceptable rate of return. Specific methods used to evaluate potential investment opportunities will be presented and practiced. The role that depreciation and taxes play in these methods will be discussed. Techniques to identify the best project or group of projects to select based on a series of constraints will be presented. Methods used to identify the least cost alternative to fulfill a specific project’s needs will also be covered in the class.

By the end of the course, you should be able to:
• Calculate the present, future, or equivalent periodic amount of a series of funds flowing into or out of an account over a period of time.
• Quantitatively compare various interest rate expressions.
• Quantitatively determine if a given investment alternative is economically attractive given a minimum acceptable rate of return constraint.
• Quantitatively determine the best project or group of projects to conduct based on a set of limiting constraints.
• Quantitatively determine the lowest cost alternative to satisfy the needs of a specific project.

Topics Covered:

1. Fundamental concepts concerning economic systems.
2. The Time Value of Money
3. Depreciation Models
4. Tax Considerations and Their Impact on Economic Decision Making
5. Economic Project Evaluation
6. Capital Budgeting
7. Break Even Models
8. Cost Comparison
9. Replacement Analysis

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics
Relationship of Course to Program Outcomes: e*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last Updated: Fall 2010

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IE 3314 - Engineering Research Methods

Description: A continuation of IE 3301. Simple and multiple linear regression analysis, design of experiments, analysis of variance, and quality control statistics. Emphasis on the application of these methods to engineering data, with computerized data analysis.

Prerequisite: IE 3301 and MATH 2326.

Textbook(s): Probability and Statistics for Engineers and Scientists, by R. E. Walpole, R. H. Myers, S. L. Myers and K. Ye, 8^th ed., Prentice Hall, New Jersey, 2007.

Course Objective:

At the end of this course students should be able to:
• Understand the salient concepts related to regression analysis and analysis of variance in experimental designs
• Design statistical experiments
• Analyze engineering and related data using mainly regression analysis and analysis of variance techniques
• Use the SAS software for analyses

Topics Covered:

1. Review of hypothesis testing and C.I. estimation
2. Simple linear regression
3. Using SAS for data analysis
4. Multiple linear regression
5. Analysis of variance concepts
6. Analysis of variance and experiment of designs
7. Quality control statistics

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Math and Basic Sciences
Relationship of Course to Program Outcomes: b*, k*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last Updated: Fall 2010

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IE 3315 - Operations Research I

Description: Introduction to the major deterministic techniques of operations research and their application to decision problems. Linear programming, integer programming, network analysis, dynamic programming, nonlinear programming. Course software is used.

Prerequisite: IE 3301 or concurrent enrollment and MATH 2326.

Textbook(s): Operations Research by Taha, 7^th ed., 2003, Prentice Hall.

Course Learning Goals/Objectives: This course is designed to develop modeling skills and an ability to apply deterministic quantitative optimization methods to the decision-making process.

By the end of this course, the student should be able to formulate and solve deterministic models for various real-life industrial scenarios using the standard models presented in this course. Test questions will measure both the students’ ability to formulate such models, as well as solve them. In addition, computer solutions for a number of textbook problems must be submitted at the end of the semester.

Topics Covered:

1. Geometry of linear programming problem
2. Algebraic solution of linear programming problems
3. Simplex method and Sensitivity Analysis
4. Duality theory
5. Dual simplex method
6. Transportation problem and algorithm
7. Assignment problem and algorithm
8. Integer programming
9. Network problems and algorithms
10. Goal Programming
11. Dynamic programming
12. Nonlinear programming
13. Tests

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics
Relationship of Course to Program Outcomes: a*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last Updated: Fall 2010

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IE 3343 - Metrics and Measurement

Description: This course presents methods for determining the most effective utilization of effort in the man-machine environment as well as systems and methods to measure enterprise performance. The computer competency evaluation is administered in this course for those students who have not had IE 1105.

Prerequisite: MATH 2326, IE 3312 or concurrent enrollment, and IE 3301 or concurrent enrollment.

Textbook(s): Mikell P. Groover, Works Systems and the Methods, Measurement, and Management of Work, Pearson Education, Inc., 2007.

Course Objectives:

• Describe the characteristics of a useful metric.
• Differentiate between normal times, standard times, and cycle times.
• Balance an assembly line using various methods and evaluate the effectiveness of the solutions.
• Design and conduct a stopwatch time study. Analyze the results.
• Compare and contrast different Predetermined Motion Time Systems.
• Describe the purpose of performance ratings.
• Conduct a performance rating experiment and analyze the results.

Topics Covered:

1. Methods, Standards, and Work Design: Introduction
2. Problem Solving Tools
3. Operation Analysis
4. Proposed Method Implementation
5. Lean
6. Metrics
7. Time Study
8. Performance Rating
9. Allowances
10. Predetermined Time Systems
11. Work sampling
12. Indirect and Expense labor Standards
13. Standards Follow-Up and Uses

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contributions of Course to Meeting Professional Component: 3 credit hours Engineering Topics
Relationship of Course to Program Objectives: h*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last updated: Fall 2010

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IE 4191 - Special Problems in Industrial Engineering

Description: The investigation of special individual problems in industrial engineering under the direction of a faculty member.

Prerequisite: consent of the department chairperson.

Course Objectives: To provide students with an opportunity for independent study and the application of their academic training to practical situations, theoretical investigation, or design projects.

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IE 4291 - Special Problems in Industrial Engineering

Description: The investigation of special individual problems in industrial engineering under the direction of a faculty member.

Prerequisite: consent of the department chairperson.

Course Objectives: To provide students with an opportunity for independent study and the application of their academic training to practical situations, theoretical investigation, or design projects.

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IE 4300 - Topics in Industrial Engineering

Description: A study of selected topics in industrial engineering. May be repeated when topics vary.

Prerequisite: consent of instructor and undergraduate advisor.

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IE 4302 - Engineering Administration and Organization

Description: A survey of administration, control and organization of engineering and research activities. Strategic planning as well as project planning and control are discussed.

Prerequisite: junior standing.

Textbook(s):

• Management: Quality and Competitiveness, 2^nd ed. by John M. Ivancevich, Peter Lorenzi, Steven Skinner, and Philip B. Crosby, McGraw-Hill/Irwin, 1997.

Course Objectives: Broad-coverage course for engineering majors addressing the principal topics of engineering management and program management.

Topics Covered:

1. Classical elements of management
2. History of the development of management thought
3. International ventures and their implications
4. Decision-making
5. Planning, IMP,IMS, Requirements
6. Influence diagrams and precedence
7. Program evaluation and review technique
8. Critical path method
9. Monte Carlo simulations in management
10. Financial plans
11. Forecasting
12. Strategic analysis
13. Organizational design
14. Technical report and proposal writing
15. Earned value management systems
16. Leadership
17. Team management
18. Integrated mfg and baseline processes
19. Schedule management
20. Cost management

Class Lecture Schedule: 1 session per week, 3 hours per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics
Relationship of Course to Program Outcomes:

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IE 4303 - Production and Inventory Control

Description: Fundamental theory and design of systems for the control of production, inventories and their economic interaction, particularly in cases involving uncertainty of demand, of supply availability, and of production rates.

Prerequisite: IE 3301 and 3315.

Textbook(s): Hopp, W.J. and M.L. Spearman, Factory Physics, Foundations of Manufacturing Management, Irwin, 2008.

Course Objectives:

• Identify and solve appropriate inventory control model problems given demand characteristics.
• Use MRP to devise a manufacturing schedule.
• Identify the basic metrics of a factory and describe their relationships.
• Measure and explain the effects of variability on a manufacturing system.
• Compare and contrast push versus pull systems.
• Compute a schedule of jobs and evaluate the schedule effectiveness.

Topics Covered:

1. Manufacturing in America(.5 classes)
2. Factory Physics? (.5classes)
3. Inventory Control: From EOQ to ROP (6classes)
4. The MRP Crusade (2classes)
5. The JIT Revolution (2classes)
6. Basic Factory Dynamics (2classes)
7. Variability Basics (3classes)
8. The Corrupting Influence of Variability (3 classes)
9. Push and Pull Production Systems (1 class)
10. A Pull Planning Framework (4classes)
11. Production Scheduling (3classes)

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics
Contribution of Course to Program Objectives: e*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last updated: Fall 2010

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IE 4304 - Enterprise Systems

Description: An extension of Production and Inventory Control (IE 4303), this course covers enterprise resource planning systems (ERP) in manufacturing, E-Commerce and supply chain environments. ERP software and case studies are reviewed.

Prerequisite: IE 4303.

Textbook(s): None.

Course Objectives:

• Describe an ERP system.
• Evaluate an ERP implementation plan for successful and unsuccessful characteristics.
• Model a resource allocation problem and use Solver to find an optimal solution.
• Balance an assembly line using various models and evaluate the effectiveness of the solutions.
• Differentiate between value added and non-value added activities.
• Describe the steps required to implement group technology.
• Form groups of parts and machines using various algorithms.
• Evaluate a system with a constraint and formulate a plan for implementing theory of constraints methodology.
• Describe the purpose of the SCOR model.
• Orally communicate an effective written summary of an assigned reading.

Topics Covered:

1. Class introduction, modeling basics (2 class periods)
2. Enterprise Resource Planning (3 class periods)
3. Modeling using Excel (3 class periods)
4. Line Balancing (3 class periods)
5. Lean Engineering (2 class periods)
6. Group Technology (2 class periods)
7. Theory of Constraints
8. SCOR Model of Enterprises
9. Research Methodologies
10. Oral Presentations (2 class periods)

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics
Contribution of Course to Program Objectives:

Last Updated: Fall 2010

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IE 4308 - Statistical Quality Control

Description: A comprehensive coverage of modern quality systems techniques to include the design of statistical process control systems, acceptance sampling, and process analysis and design.

Prerequisite: IE 3314 or concurrent enrollment.

Textbook(s):

1. Quality Control, 7^th ed. by D. H. Besterfield, Prentice Hall, 2004.
2. SPC Simplified: Practical Steps to Quality, 2^nd ed., by R. T. Amsden, et. al, Unipub, 1996.

Other Related Material: Handouts from a variety of courses

Course Objectives: The objective of this course is to provide the student with an opportunity to acquire the fundamentals of statistical quality control methods as well as an appreciation of some practical approaches and solutions to some examples of real quality control problems.

Topics Covered:

1. Basic concepts
2. Process documentation
3. Process variation
4. Process sampling and the control chart
5. Process improvement with control chart
6. Variables control charts
7. Attributes control charts
8. Process diagnosis, capability and improvement
9. Specifications and inspection policy
10. Review of Deming and variability reduction
11. Project discussions
12. Exams

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics with Design Content
Relationship of Course to Program Outcomes: c, d, g

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IE 4310 - Industrial and Product Safety

Description: Scientific, managerial, and legal aspects of safety hazard control and elimination in the industrial workplace. Methods for enhancing product safety.

Prerequisite: junior standing.

Textbook(s): The Safety and Health Handbook by David L. Goetsch, Prentice Hall, 2000.

Course Learning Goals/Objectives: To enhance the understanding of the scientific, managerial and legal aspects of safety that apply to the occupational environment.

By the end of the course, students should be able to:
• Interpret accident and safety statistics for the US and other countries
• Quantify accident frequency and severity
• Analyze the causes and consequences of industrial and product safety accidents
• Interpret accident and injury information with respect to OSHA and other federal and state laws
• Understand the science and engineering concepts associated with accidents in selected work environments (e.g. thermal, electrical, noise hazards, etc.)

Topics Covered:

1. Introduction to safety
2. Accident losses
3. Liabilities and safety legislation
4. Worker's compensation
5. OSHAct
6. Standards, codes, and other safety documents
7. Products safety and liability
8. Hazards and their control
9. Promoting safe practices
10. Appraising plant safety
11. Types of safety analyses
12. Planning for emergencies
13. Accident investigations
14. Accelerations, falls, falling objects, and other impacts
15. Mechanical injuries
16. Pressure hazards
17. Electrical hazards
18. Fires and suppression
19. Explosion and explosives
20. Toxic substances and confined spaces
21. Radiation

Class Lecture Schedule:2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics
Relationship of Course to Program Outcomes:

Last Updated: Fall 2010

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IE 4315 - Operations Research II

Description: A continuation of IE 3315 to probabilistic techniques of operations research and their application to decision models. Topics include z-transforms, linear difference equations, Markov chains, game theory, decision analysis, queuing theory, and non-quantitative aspects of decisions. Group projects are required.

Prerequisite: IE 3301, IE 3315, and MATH 3319 (or concurrent enrollment).

Textbook(s): Operations Research, 8^th ed. by Taha, Prentice Hall, 2003.

Course Objectives: This course is designed to develop modeling and decision-making skills, including the ability to apply probabilistic quantitative methods.

By the end of this course, the student should be able to formulate and solve probabilistic models for various real-life industrial scenarios using the standard models presented in this course. Test questions will measure both the students’ ability to formulate such models, as well as solve them. In addition, computer solutions for a number of textbook problems must be submitted. Finally, each student must choose a real world situation, model it using the tools of the course, then submit a written report and give a class presentation at the end of the semester.

Topics Covered:

1. Difference equations and z-transforms
2. Markov chains
3. Markov decision processes
4. Decision analysis
5. Game theory
6. Negotiation
7. Queuing theory
8. Presentation of group projects
9. Exams

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics
Relationship of Course to Program Outcomes: a*, e*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last updated: Fall 2010

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IE 4318 - Enterprise Systems Design

Description: Design, analysis, and modeling of enterprises. Topics include enterprise architectures, structured system modeling methods, enterprise integration, and enterprise transformation.

Prerequisite: junior standing

Textbook(s): SADT by Marca and McGowan

Course Objectives:The objective of this course is to introduce the concepts and basic tools of enterprise engineering.

Topics Covered:

1. Introduction to enterprise engineering
2. Structure of an enterprise
3. Transformation Methodology
4. SADT/IDEF0 Modeling Methodology
5. Activity Based Management
6. Balanced Scorecard
7. Use of methods and tools
8. Class Projects
9. Lean principles

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics with Design Content
Relationship of Course to Program Outcomes: c*, k*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

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IE 4322 - Enterprise Simulation

Description: The design and analysis of complex manufacturing and service systems using computer-based discrete event simulation techniques. Topics include an introduction to simulation methods, and the design, construction and analysis of discrete-event simulation models, as well as their computer applications. The course also covers the execution and management of simulation projects and the formal presentation of their findings.

Prerequisite: IE 3314 and IE 4315.

Textbook(s): Simulation with Arena by W. David Kelton, Randall P. Sadowski, Deborah A. Sadowski, McGraw-Hill.

Other Related Material:

• Simualation Made Easy: A Manager's Guide by Charles Harrell and Kerim Tumay, Industrial Engineering and Management, 1995.
• Learning Witness, Lanner Group, Inc., 1998.

Course Learning Goals/Objectives: This course is designed to provide students with a practical introduction to discrete-event simulation methods with specific emphasis on how this technology can be used to support the analysis of enterprise systems. These courses will present the concepts behind the discrete-event simulation method and provide the student with a hands-on opportunity to construct models of enterprise systems. This course will also focus on the use of a general discrete-event simulation project methodology.

By the end of the course, you should be able to:
• Manually replicate the execution of a Discrete-Event Simulation Engine.
• Summarize the various tasks outlined in a Simulation Project Methodology.
• Recall and discuss issues associated with establishing a discrete-event simulation capability within a company.
• Design a computer-based discrete-event simulation model to represent a complex industrial/business/service system.
• Analyze the output of a simulation model in order to verify the appropriateness of the model’s performance.
• Evaluate various system configurations to determine the most appropriate system design and/or justify proposed changes to a given system.

Topics Covered:

• System Modeling and Analysis
• Construction of Simulation Models
• Simulation Theory
• Introduction to a Simulation Tool
• Simulation Output Analysis
• Application of Random Distributions
• Simulation Project Methodology
• Creating a Simulation Capability in an Enterprise

Class Lecture Schedule: 2 class sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics with Design Content
Relationship of Course to Program Outcomes: c*, k*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last Updated: Fall 2010

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IE 4325 - Automation and Robotics I

Description: Study of the use of industrial automation and robotics technologies in manufacturing industries. The course introduces the major classes of industrial automation. Issues associated with the successful deployment of automation are presented. Laboratory exercises focus on a practical introduction to various automation technologies.

Prerequisite: IE 4303 or concurrent enrollment.

Textbook(s): Automation, Production Systems, and Computer-Integration Manufacturing, 3^rd edition, Mikell P. Groover, 2008.

Course Learning Goals/Objectives: This course is designed to provide students with a general overview of industrial automation. These courses will attempt to always present these technologies in the context of how they support the needs of the larger manufacturing enterprise. The course will present general topics which are common to all classes of industrial automation. Specific types of industrial automation like robotics and numerical control will also be introduced. Laboratory exercises will allow the students to observe and use representative examples of the types of industrial automation discussed in the class.

By the end of the course, you should be able to:
• Describe the primary factors which determine the characteristics of a manufacturing enterprise.
• Describe the characteristics of the four classes of industrial automation and have the ability to identify the type of manufacturing operations each of these automation classes best supports.
• Identify and list the general types of sensors and actuators associated with industrial automation.
• Discuss the various types of Industrial Controls and explain which control method or technology is better suited for a given environment or application.
• List the different classes of industrial robots and explain how you would select a specific class of industrial robot for a given application.
• Design a system, component, or process that uses industrial automation technology to meet a set of application requirements.
• Demonstrate your ability to use industrial automation tools.

Topics Covered:

1. Introduction to Manufacturing System Concepts.
2. Classification of Industrial Automation
3. Automation System Design Strategies
4. Industrial Controls
5. Sensors, Actuators, & Other Components
6. Numerical Control
7. Industrial Robots
8. Discrete Control with PLCs and PCs
9. Automatic Data Capture
10. Inspection Techniques
11. Flexible Manufacturing

Class Lecture Schedule: 2 class sessions per week, 1 hour per session
Class Laboratory Schedule: 2 laboratory sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics with Design Content
Relationship of Course to Program Outcomes: c*, k*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last Update: Fall 2010

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IE 4339 - Product Development, Producibility and Reliability Design

Course (Catalog) Description: This course covers the product and process development and engineering design process with focus on collaborative design in the enterprise environment. Manufacturing, reliability, testing, logistical and product support considerations are emphasized.

Prerequisite: Junior standing.

Textbook(s): TBD

Other Required Materials: Handouts

Course Learning Goals/Objectives: Survey of topics in concurrent engineering, collaborative design, producibility and reliability in the product development process.

Topics Covered:

1. Product development
2. Requirements definition and con design
3. Trade-Off analysis
4. Detailed design and test
5. Manufacturing and supply chain
6. Design for people
7. Producibility
8. Reliability
9. Projects

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics with Design Content
Relationship of Course to Program Outcomes:

Last Updated: Fall 2010

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IE 4343 - Facilities Planning and Design

Course Catalog Description: The course covers strategic facilities planning through detailed facilities layout design. Considerations include product flow, space and activity relationships, personnel requirements, material handling, and layout. Traditional and contemporary issues in manufacturing and their impact on facilities design including receiving, shipping, warehousing, and integration with manufacturing and supporting operations are explored. Facilities planning models and the process of evaluating, selecting, preparing, presenting, and implementing the facilities plan are covered.

Prerequisite: IE 4303 or concurrent enrollment

Textbook(s): Facilities Planning, 4^th edition by James A. Tomkins, John A. White, et. al, John Wiley and Sons, 2010.

Course Learning Goals/Objectives: This course is designed to develop facilities planning and layout skills, including the ability to apply quantitative methods to decision-making in the areas of selecting, preparing, presenting, and implementing facilities plans. These skills have broad applications and can be useful for the planning and design of a manufacturing enterprise, hospital, airport, warehouse/distribution center, bank, office, retail store, etc.

By the end of the semester, you should be able to:
• Explain the "Winning Facilities Planning Process"
• Determine product, process, and schedule design interactions & Develop personnel requirements
• Analyze flow, space, and activity relationships with impact to material handling and layout alternatives
• Integrate receiving, shipping, warehousing with manufacturing and supporting operations
• Apply standards of professional and ethical responsibility
• Prepare and present a detailed facilities planning project report and layout documenting all steps taken (define problem, generate alternatives, evaluate, select) including justification of your final recommendation.

Topics Covered:

1. Strategic facilities planning
2. Proper management of facilities planning and design projects
3. Product, process, and schedule design
4. Activity relations and space requirements
5. Personnel requirement
6. Material handling
7. Layout planning models and design algorithms
8. Receiving, shipping, warehousing and integration with manufacturing and supporting operations
9. Quantitative facilities planning models
10. Evaluating, selecting, preparing, presenting, and implementing the facilities plan
11. Exams
12. Project presentations

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contributions of Course to Meeting Professional Component: 3 credit hours Engineering Topics with Design Content
Relationship of Course to Program Outcomes: c*, f*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last updated: Fall 2010

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IE 4344 - Human Factors Engineering

Description: Study of the interactions between people and their work, workplace, and the environment. Involves identification, measurement, analysis, and evaluation of interactions via human physical and mental capacities and limitations, and social interactions.

Prerequisite: IE 3301, IE 3312, and IE 3343.

Textbook(s): Human Factors Engineering and Design, by M. S. Sanders and E. J. McCormick, McGraw-Hill, New York.

Other Related Material: Help! My Computer is Killing Me: Preventing Aches and Pains in the Computer Workplace, by Sheik N. Imrhan, Taylor Publishers, Dallas, TX 1996.

Course Learning Goals/Objectives: To achieve an understanding of the capabilities and limitations of people in a human-machine-environment system, and of the principles and techniques of integrating people into the sys¬tem to enhance safety and efficiency in task performance.

By the end of the course, students should be able to:
• Identify human-work problems in occupational and living environments
• Measure and understand human capacities for work
• Measure and understand physical and mental demands on human beings for specific tasks
• Understand the scientific concepts in designing environments, equipment and work methods for enhancing performance and minimizing stresses on the worker

Topics Covered:

1. Human factors concepts
2. Anthropometry and design
3. Biomechanics
4. Work physiology
5. Manual Materials Handling
6. Hand tool design
7. Information processing
8. Displays – mainly visual and auditory
9. Controls
10. The environment

Class Lecture Schedule: 2 sessions per week, 1 hour per session
Class Laboratory Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics
Relationship of Course to Program Outcomes: b*, g*, h*
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last Updated: Fall 2010

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IE 4345 - Knowledge and Technology Management

Description: Review of contemporary issues in knowledge management, knowledge engineering, technology management, and intelligent systems. Topics include knowledge acquisition, intelligent database design, decision support systems, artificial intelligence technologies, designs and tools, and collaborative development.

Prerequisite: junior standing.

Textbook(s): An Introduction to Knowledge Engineering by S. Kendal and M.Creen, Springer, 2007.

Other Required Materials: Handouts and UTA approved clickers, they can be purchased from other students or the book store. You will need to register them with the company.

Course Objectives: This class covers many new and state-of-the-art topics in intelligent systems, decision support systems, knowledge management, knowledge engineering, intelligent systems, expert systems, data mining, etc. The focus will be on the book, outside readings, and projects. This course is evolving; so the course requirements will be defined as the course progresses.

Class Learning Objectives

• Overview, terminology, and concepts of intelligent systems, knowledge engineering, knowledge management and applied AI
• When and how to use case based reasoning, neural networks, expert systems, data mining, genetic algorithms, fuzzy logic, agents, etc.
• Engineers, management and non-programmers role in these areas.

Topics Covered:

1. Applied A.I.
2. Intelligent systems
3. Expert systems
4. Case-based Reasoning
5. Domain knowledge
6. Projects

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to meeting Professional Component: 3 credit hours Engineering Topics
Relationship of Course to Program Outcomes:

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IE 4349 - Industrial Automation

Description: Project oriented course focusing on the design, implementation, and operation of technology. An in-depth study of the design and deployment of industrial technology to meet the needs of high-precision, multi-product environments. The laboratory activities associated with the course provide practical experience.

Prerequisite: IE 4325 and instructor approval.

Textbook(s):

• "Starting an iphone Application Business for Dummies," A. Nicholson, Wiley Publishing, ISBN 978-0-470-52452-7.
• "App Savvy," Ken Yarmosh, Publisher - O'Reilly, ISBN 978-1-449-38976-5.

Other Required Material: Handouts.

Course Learning Goals/Objectives: This course will provide an understanding of the relationships between the process and product requirements of a manufacturing activity in order to analyze, design, and develop the concepts needed to put together integrated systems.

Topics Covered: As a project course, the topics depend on the area of focus for that semester. Topics will vary depending on the semester.

1. A brief history of robotics
2. Fundamentals of robot technology, programming, and applications
3. Control systems and components
4. Robot motion analysis and control
5. Robot end effectors
6. Sensors in robotics
7. Machine vision
8. Robot programming
9. Robot languages
10. Artificial intelligence
11. Robot cell design and control
12. Economic analysis for robotics
13. Material transfer and machine loading/unloading
14. Processing operations
15. Assembly and inspection
16. An approach for implementing robotics
17. Safety, training, maintenance, and quality
18. Social and labor issues
19. Robotic technology of the future
20. Future applications

Class Lecture Schedule: 2 sessions per week, 1 hour 20 minutes per session. Labs are required but can be scheduled by the student.
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics with Design Content
Relationship of Course to Program Outcomes:

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IE 4350 - Industrial Engineering Capstone Design

Description: This course provides an open-ended design experience through the planning and design of an enterprise. Typically, the student selects a product; determines the necessary processes, equipment, capacities, routings, and personnel required; develops supporting material handling, inventory, and quality systems; and designs the fully integrated enterprise including facility layout with estimated cost of operation. Contemporary project management techniques are utilized. The design experience project includes submittal of approximately nine written and oral presentations culminating in a written project report and oral presentation at the end of the semester. IE 4350 is the capstone design course and draws on material from the total industrial engineering curriculum. The impact of engineering design on society is discussed.

Prerequisite: All required 4000 level IE courses or concurrent enrollment.

Textbook(s):

• Facilities PLanning, 4^rd edition, Tompkins, White, et. all, John Wiley, 2010.
• The Goal, 3^rd edition, by Eli Goldratt an Jeff Cox, North River Press, 2004.

Course Objectives: This course provides an open-ended design experience through the planning and layout of a manufacturing enterprise. The student selects a product, determines the necessary processes, equipment, capacities, routings, and personnel required, develops supporting material handling, inventory, and quality systems, and designs the fully integrated manufacturing enterprise including facility layout with estimated cost of operation. In keeping with good project management, the design experience project will include submittal of nine subsections throughout the semester culminating in final written project submittal and oral presentation at the end of the semester. (See design project introduction document for detailed subsection content requirements and due dates schedule.)

Tentative Lecture Schedule (Course Content)

• In addition to the capstone project, we will review and discuss facilties planning topics as required, project management techniques, practical application of IE techniques in "The Goal", contemporary issues in IE, ethics considerations in engineering, resume preparation and interview techniques, and other relevant topics of mutual interest as time permits.
• ABET Criterion 5. Professional Component: Students must be prepared for engineering practice through the curriculum culminating in a major design experience based on the knowledge and skills acquired in earlier course work and incorporating appropriate engineering standards and multiple realistic constraints." These realistic constraints include: economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
• ABET Criterion 9. The program must demonstrate that graduates have the ability to design, develop, implement, and improve integrated systems that include people, materials, information, equipment and energy. The program must include in-depth instruction to accomplish the integration of systems using appropriate analytical, computational, and experimental practices."

Topics Covered:

1. Capstone project
2. Contemporary issues
3. Professional and ethical responsibility
4. Interview skills and resume preparation techniques for effective communication
5. Presenting and implementing the capstone project

Class Lecture Schedule: 2 sessions per week, 1 hour per session
Class Laboratory Schedule: 2 sessions per week, 1 hour 20 minutes per session
Contribution of Course to Meeting Professional Component: 3 credit hours Engineering Topics with Design Content
Relationship of Course to Program Outcomes: c, f, g, i, j
Major Design Experience, Systems Integration
NOTE: For All IE Course Syllabi, * indicates Key Assignment for outcome achievement

Last Updated: Fall 2010

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IE 4391 - Special Problems in Industrial Engineering

Description: The investigation of special individual problems in industrial engineering under the direction of a faculty member.

Prerequisite: consent of the department chairperson.

Course Objectives: To provide students with an opportunity for independent study and the application of their academic training to practical situations, theoretical investigation, or design projects.

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