Undergraduate Course Descriptions

Undergraduate Course Descriptions

Course Descriptions for All Classes in the Catalog

Undergraduate Catalog Course Descriptions

Graduate Catalog Course Descriptions

Course Descriptions by Semester

IE 1104 - Introduction to Engineering

Description: IE 1104 INTRODUCTION TO ENGINEERING (1-0) 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.

Other Supplemental Materials: Introduction to Engineering Class Materials Workbook .

Prerequisite: None.

Required or Elective: Required.

Course Goals:

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:

Class introduction, structure of engineering program
Catalog issues and engineering professionalism
Written communications
Teamwork
Team activity
Midterm
Engineering and student ethics (2 class periods)
Introduction to electrical engineering
Introduction to mechanical and aerospace engineering
Introduction to industrial engineering
Introduction to computer science & engineering
Introduction to civil engineering
Team project demonstrations

Credit and Contact Hours: (1-0) 1 class session per week, 50 minutes per session
Student Outcomes: This course addresses the following student outcomes: d, f, and g.

Instructor's Name: Dr. Boardman.

IE 1105 - Introduction to Industrial Engineering Lab

Description: IE 1105 INTRODUCTION TO INDUSTRIAL ENGINEERING LAB (0-3) 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.

Other Supplemental Materials: None.

Prerequisite: None.

Required or Elective: Required.

Course Goals:

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:

Introduction to industrial engineering; UTA Computers: Account setup, e-mail setup, IE web page operation
Presentations from IE student groups, IE lab exercise
Microsoft Word with lab
Microsoft Excel with lab
Microsoft PowerPoint with lab; Curriculum Overview
UTA Libraries: Introduction, Pulse system, On-line research databases with lab
Introduction to statistics and quality control with lab
Introduction to ergonomics with lab
Introduction to operations research with lab
Introduction to logistics
Introduction to production and inventory control with lab
Ethics case studies with lab
Oral presentations

Credit and Contact Hours: (0-3) 2 class sessions per week, 1 hour 20 minutes per session
Student Outcomes: This course addresses the following student outcomes: d, f, and g.

Instructor's Name: Dr. Boardman.

IE 2305 - Computer Applications in Industrial Engineering Lab

Description: IE 2305 COMPUTER APPLICATIONS IN INDUSTRIAL ENGINEERING (3-0) 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.

Textbook(s):

Computer Applications in Industrial Engineering Part 1, Pearson Custom Publishing
Computer Applications in Industrial Engineering Part 2, Pearson Custom Publishing

Other Supplemental Materials: None.

Prerequisite: IE 1105 or concurrent enrollment.

Required or Elective: Required.

Course Goals:

Use the six problem-solving steps to solve problems.
Set up and evaluate expressions and equations using variables, constants, operators, and the hierarchy of operations.
Use Visio to model problem solutions.
Develop problems using decision logic structure and loop logic structure and arrays.
Create a Microsoft Access database with multiple tables and establish table relationships.
Design, create and run queries in Microsoft Access.
Design, create and use forms and reports in Microsoft Access.
Design and create Pivot Tables and Pivot Charts in Microsoft Access.
Write procedures using VBA.
Use VBA and Microsoft Excel and Microsoft Access to solve Industrial Engineering Problems.

Topics Covered:

Introduction to industrial engineering; UTA Computers: Account setup, e-mail setup, IE web page operation
Programming Basics
Visio
Microsoft Access
Visual Basic of Applications

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session.
Student Outcomes: This course addresses the following student outcomes: None.

Instructor's Name: Dr. Boardman.

IE 3301 - Engineering Probability

Description: IE 3301 ENGINEERING PROBABILITY (3-0) 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.

Textbook(s): Probability and Statistics for Engineers and Scientists, by R. E. Walpole, R. H. Myers, S. L. Myers, and K. Yei; 9th ed., Prentice Hall, New Jersey.

Other Supplemental Materials: None.

Prerequisite: MATH 2425.

Required or Elective: Required.

Course Goals:

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:

Descriptive statistics
Probability theory
Random variables and probability distributions
Mathematical expectations
Discrete probability distributions
Continuous probability distributions
Linear combinations of random variables
Sampling distributions
Estimation and confidence Intervals
Hypothesis testing
Introduction to Simple Linear Regression analysis
Introduction to ANOVA and Experimental Designs

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.
Student Outcomes: This course addresses the following student outcomes: a and b.

Instructor's Name: V. Chen, W.H. Corley, S.N. Imrhan, J. Rosenberger, and L. Zeng

IE 3312 - Economics for Engineers

Description: IE 3312 ECONOMICS FOR ENGINEERS (3-0) Tools and methods used for determining the comparative financial desirability of engineering alternatives.

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

Other Supplemental Materials: None.

Prerequisite: MATH 1426 or concurrent enrollment.

Required or Elective: Required.

Course Goals: 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: the time value of money, equivalence, 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 set 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:

Fundamental Concepts Concerning Economic Systems
The Time Value of Money including Interest and Interest Factors
Depreciation Models
Tax Considerations and Their Impact on Economic Decision Making
Economic Project Evaluation
Capital Budgeting
Break Even Models
Cost Comparisons
Replacement Analysis

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.
Student Outcomes: This course addresses the following student outcomes: None.

Instructor's Name: Dr. Ferreira, Dr. Huff, and Dr. McCollom.

IE 3314 - Engineering Research Methods

Description: IE 3314 ENGINEERING RESEARCH METHODS (3-0) 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.

Textbook(s): Probability and Statistics for Engineers and Scientists, by R. E. Walpole, R. H. Myers, S. L. Myers and K. Ye, 9th ed., Prentice Hall, New Jersey.

Other Supplemental Materials: None.

Prerequisite: IE 3301 and MATH 2326.

Required or Elective: Required.

Course Goals: 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:

Introduction to industrial engineering; UTA Computers: Account setup, e-mail setup, IE web page operation
Review of hypothesis testing and C.I. estimation
Simple linear regression
Using SAS for data analysis
Multiple linear regression
Analysis of variance concepts
Analysis of variance and experimental designs

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: b and k.

Instructor's Name: S.N. Imrhan.

IE 3315 - Operations Research I

Description: IE 3315 OPERATIONS RESEARCH I (3-0) 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. Project required.

Textbook(s): Operations Research by Taha, 9th ed., Prentice Hall, 2011.

Other Supplemental Materials: None.

Prerequisite: IE 3301 or concurrent enrollment and MATH 2326.

Required or Elective: Required.

Course Goals: 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:

Geometry of linear programming problem
Algebraic solution of linear programming problems
Simplex method
Duality theory
Dual simplex method
Transportation problem and algorithm
Assignment problem and algorithm
Integer programming
Network problems and algorithms
Goal Programming
Dynamic programming
Nonlinear programming
Tests

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session..

Student Outcomes: This course addresses the following student outcomes: a.

Instructor's Name: Dr. Corley

IE 3343 - Metrics and Measurement

Description: IE 3343 METRICS AND MEASUREMENT (3-0) 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.

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

Other Supplemental Materials: None.

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

Required or Elective: Required.

Course Goals: At the end of this course students should be able to:

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:

Methods, Standards, and Work Design: Introduction
Problem Solving Tools
Operation Analysis
Proposed Method Implementation
Lean
Metrics
Time Study
Performance Rating
Allowances
Predetermined Time Systems
Work sampling
Indirect and Expense labor Standards
Standards Follow-Up and Uses

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: h.

Instructor's Name: Dr. Boardman.

IE 4191, 4291, 4391 - Special Problems in Industrial Engineering

Description: IE 4191, 4291, 4391 SPECIAL PROBLEMS IN INDUSTRIAL ENGINEERING (Variable credit from 1 to 3 semester hours as arranged). The investigation of special individual problems in industrial engineering under the direction of a faculty member.

Textbook(s): Varies

Other Supplemental Materials: Varies

Prerequisite: Consent of the department chairperson.

Required or Elective: Selected Elective.

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

Topics Covered: Varies.

Credit and Contact Hours: (1-0), (2-0), and (3-0). Independent Study.

Student Outcomes: This course addresses the following student outcomes: None.

Instructor's Name: Varies.

IE 4300 - Topics in Industrial Engineering

Description: IE 4300 TOPICS IN INDUSTRIAL ENGINEERING (3-0) A study of selected topics in industrial engineering. May be repeated when topics vary.

Textbook(s): Varies.

Other Supplemental Materials: Varies.

Prerequisite: Consent of instructor and undergraduate advisor..

Required or Elective: Selected Elective.

Course Goals: To provide students access to new and varied course topics in Industrial Engineering.

Topics Covered:Varies.

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: None.

Instructor's Name: Varies.

IE 4302 - Engineering Administration and Organization

Description: IE 4302 ENGINEERING ADMINISTRATION AND ORGANIZATION (3-0) A survey of administration, control and organization of engineering and research activities. Strategic planning as well as project planning and control are discussed.

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

Other Supplemental Materials: Quicken Deluxe Software.

Prerequisite: Junior standing.

Required or Elective: Required.

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

Topics Covered:

Classical elements of management
History of the development of management thought
International ventures and their implications
Decision-making
Planning, IMP, IMS, Requirements
Influence diagrams and precedence
Program evaluation and review technique
Critical path method
Monte Carlo simulations in management
Financial plans
Forecasting
Strategic analysis
Organizational design
Technical report and proposal writing
Earned value management systems
Leadership
Team management
Integrated mfg and baseline processes
Schedule management
Cost management
Ethics applications in Managements

Credit and Contact Hours: (3-0) 1 class session per week, 2 hour 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: None.

Instructor's Name: Dr. Lummus.

IE 4303 - Production and Inventory Control

Description: IE 4303 PRODUCTION AND INVENTORY CONTROL (3-0) 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.

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

Other Supplemental Materials: None.

Prerequisite: IE 3301 and 3315.

Required or Elective: Required.

Course Goals: At the end of this course students should be able to:

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:

Manufacturing in America
Factory Physics?
Inventory Control: From EOQ to ROP
The MRP Crusade
The JIT Revolution
Basic Factory Dynamics
Variability Basics
The Corrupting Influence of Variability
Push and Pull Production Systems
A Pull Planning Framework
Production Scheduling

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: e.

Instructor's Name: Dr. Boardman.

IE 4304 - Enterprise Systems

Description: IE 4304 ENTERPRISE SYSTEMS (3-0) 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.

Textbook(s): None.

Other Supplemental Materials: None.

Prerequisite: IE 4303.

Required or Elective: Selected Elective.

Course Goals: At the end of this course students should be able to:

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:

Class introduction, modeling basics
Enterprise Resource Planning
Modeling using Excel
Line Balancing
Lean Engineering
Group Technology
Theory of Constraints
SCOR Model of Enterprises
Research Methodologies
Oral Presentations

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: None.

Instructor's Name: Dr. Boardman.

IE 4308 - Statistical Quality Control

Description: IE 4308 QUALITY SYSTEMS (3-0) A comprehensive coverage of modern quality systems techniques to include the design of statistical process control systems, acceptance sampling, and process analysis and design.

Textbook(s):

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

Other Supplemental Materials: None.

Prerequisite: IE 3314 or concurrent enrollment.

Required or Elective: Required.

Course Goals: 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:

Basic concepts
Process documentation
Process variation
Process sampling and the control chart
Process improvement with control chart
Variables control charts
Attributes control charts
Process diagnosis, capability and improvement
Specifications and inspection policy
Review of Deming and variability reduction
Project discussions
Exams

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: c, d, and Criterion 9.

Instructor's Name: Dr. Liles.

IE 4310 - Industrial and Product Safety

Description: IE 4310 INDUSTRIAL AND PRODUCT SAFETY (3-0) Scientific, managerial, and legal aspects of safety hazard control and elimination in the industrial workplace. Methods for enhancing product safety.

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

Other Supplemental Materials: None.

Prerequisite: Junior standing.

Required or Elective: Selected Elective.

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

At the end of this 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:

Introduction to safety
Accident losses
Liabilities and safety legislation
Worker's compensation
OSHAct
Standards, codes, and other safety documents
Products safety and liability
Hazards and their control
Promoting safe practices
Appraising plant safety
Types of safety analyses
Planning for emergencies
Accident investigations
Accelerations, falls, falling objects, and other impacts
Mechanical injuries
Pressure hazards
Electrical hazards
Fires and suppression
Explosion and explosives
Toxic substances and confined spaces
Radiation

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: None.

Instructor's Name: Dr. Imrhan.

IE 4315 - Operations Research II

Description: IE 4315 OPERATIONS RESEARCH II (3-0) 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.

Textbook(s): Operations Research by Taha, 9th ed., Prentice Hall, 2011.

Other Supplemental Materials: None.

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

Required or Elective: Required.

Course Goals: 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:

Difference equations and z-transforms
Markov chains
Markov decision processes
Decision analysis
Game theory
Negotiation
Queuing theory
Presentation of group projects
Tests

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: a and e.

Instructor's Name: Dr. Corley.

IE 4318 - Enterprise Systems Design

Description: IE 4318 ENTERPRISE DESIGN (3-0) Design, analysis, and modeling of enterprises. Topics include enterprise architectures, structured system modeling methods, enterprise integration, and enterprise transformation.

Textbook(s): SADT by Marca and McGowan.

Other Supplemental Materials: None.

Prerequisite: Junior standing.

Required or Elective: Required.

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

Topics Covered:

Introduction to enterprise engineering
Structure of an enterprise
Transformation Methodology
SADT/IDEF0 Modeling Methodology
Activity Based Management
Balanced Scorecard
Use of methods and tools
Class Projects
Lean principles

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: c, k, and Criterion 9.

Instructor's Name: Dr. Liles.

IE 4322 - Enterprise Simulation

Description: IE 4322. ENTERPRISE SIMULATION (3-0) 3 hours credit. 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.

Textbook(s): Simulation with Arena, Third Edition, W. David Kelton, Randall P. Sadowski, Deborah A. Sadowski, McGraw-Hill, 2004.

Other Supplemental Materials:

SIMULATION MADE EASY: A Manager’s Guide, Charles Harrell and Kerim Tumay, Industrial Engineering and Management Press, 1995.
Simulation Modeling and Analysis, Law & Lelton, McGraw-Hill, 1982. Learning WITNESS, Lanner Group, Inc., 1998.

Prerequisite: IE 3314 and IE 4315.

Required or Elective: Required.

Course Goals: 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.

At the end of this course students 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
Simulation Project
Application of random distributions
Simulation project methodology
Creating a simulation capability

Credit and Contact Hours: (3-0) 2 class sessions per week – 1 hour 20 minutes per session.

Student Outcomes: This course addresses the following student outcomes: c, k, and

Instructor's Name: Dr. Huff.

IE 4325 - Automation and Robotics I

Description: (2-3) 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.

Textbook(s): Automation, Production Systems, and Computer-Integration Manufacturing, Third Edition, Mikell P. Groover, 2008.

Other Supplemental Materials: None.

Prerequisite: IE 4303 or concurrent enrollment.

Required or Elective: Required.

Course Goals: 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.

At the end of this course students 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:

Manufacturing Systems Concepts
Classification of Industrial Automation
Automation System Design Strategy
Industrial Control
Sensors, Actuators & Other Components
Numerical Control
Industrial Robotics
Discrete Control with PLCs and PCs
Inspection Technologies

Credit and Contact Hours: (2-3) 2 class sessions per week – 1 hour 20 minutes per session. 2 laboratory sessions per week – 1 hour 20 minutes per session.

Student Outcomes: This course addresses the following student outcomes: c, and k.

Instructor's Name: Dr. Huff.

IE 4339 - Product Development, Producibility and Reliability Design

Description: IE 4339 PRODUCT DEVELOPMENT, PRODUCIBILITY AND RELIABILITY DESIGN (3-0) 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.

Textbook(s): None.

Other Supplemental Materials: Handouts.

Prerequisite: Junior standing..

Required or Elective: Required.

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

Topics Covered:

Product development
Requirements definition and con design
Trade-Off analysis
Detailed design and test
Manufacturing and supply chain
Design for people
Producibility
Reliability
Projects

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: None.

Instructor's Name: Dr. Priest.

IE 4343 - Facilities Planning and Design

Description: IE 4343 FACILITIES PLANNING AND DESIGN (3-0) 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.

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

Other Supplemental Materials: None.

Prerequisite: IE 4303 or concurrent enrollment.

Required or Elective: Required.

Course Goals: 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.

At the end of this course students 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:

Product, process, and schedule design
Activity relations and space requirements
Personnel requirements
Material handling
Layout planning models and design algorithms
Receiving, shipping, warehousing and integration with manufacturing and supporting operations
Quantitative facilities planning models
Evaluating, selecting, preparing, presenting, and implementing the facilities plan
Project presentations

Credit and Contact Hours: : (3-0) 2 lecture sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: c and f.

Instructor's Name: Dr. Rogers.

IE 4344 - Human Factors Engineering

Description: IE 4344 HUMAN FACTORS ENGINEERING (2-3) 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.

Textbook(s): Fitting the Person: Introduction to Ergonomics (6th edn.), by KHE Kroemer, CRC Press.

Other Supplemental Materials: Preventing Aches and Pains in the Computer Workplace, by Sheik N. Imrhan, authorhouse.com.

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

Required or Elective: Required.

Course Goals: 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 system to enhance safety and efficiency in task performance.

At the end of this 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:

Human factors concepts
Anthropometry and design
Biomechanics
Work physiology
Manual Materials Handling
Hand tool design
Information processing
Displays – mainly visual and auditory
Controls
The environment
Usability – consumer products

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes:b, g, and h.

Instructor's Name: Dr. Imrhan.

IE 4345 - Knowledge and Technology Management

Description: IE 4345 KNOWLEDGE AND TECHNOLOGY MANAGEMENT (3-0) 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.

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

Other Supplemental 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.

Prerequisite: Junior standing.

Required or Elective: Required.

Course Goals: 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:

Applied A.I.
Intelligent systems
Expert systems
Case-based Reasoning
Domain knowledge
Projects

Credit and Contact Hours: (3-0) 2 class sessions per week, 1 hour 20 minutes per session, or 3 class sessions per week, 50 minutes per session.

Student Outcomes: This course addresses the following student outcomes: None.

Instructor's Name: Dr. Priest.

IE 4349 - Industrial Automation

Description: (2-3) 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.

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 Supplemental Materials: Handouts.

Prerequisite: IE 4325.

Required or Elective: Selected Elective.

Course Goals: 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.

A brief history of robotics
Fundamentals of robot technology, programming, and applications
Control systems and components
Robot motion analysis and control
Robot end effectors
Sensors in robotics
Machine vision
Robot programming
Robot languages
Artificial intelligence
Robot cell design and control
Economic analysis for robotics
Material transfer and machine loading/unloading
Processing operations
Assembly and inspection
An approach for implementing robotics
Safety, training, maintenance, and quality
Social and labor issues
Robotic technology of the future
Future applications

Credit and Contact Hours: (2-3) 2 sessions per week, 1 hour 20 minutes per session. Labs are required but can be scheduled by the student.

Student Outcomes: This course addresses the following student outcomes: None.

Instructor's Name: Dr. Priest.

Last updated: Spring 2012

IE 4350 - Industrial Engineering Capstone Design

Description: IE 4350 INDUSTRIAL ENGINEERING CAPSTONE DESIGN (2-3) 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.

Textbook(s):

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

Other Supplemental Materials: None.

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

Required or Elective: Required.

Course Goals: This course provides an open-ended capstone project design experience through the planning and layout of a manufacturing or service enterprise. In addition to the capstone project, we will review, discuss, analyze and evaluate various contemporary issues in IE, project management techniques, practical applications of IE techniques in “The Goal”, ethics considerations in engineering, resume preparation and interview techniques, and other relevant topics of mutual interest as time permits. The student will demonstrate the ability to satisfy ABET Outcomes as described below via key assignments.

ABET Criterion 3 (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
Key assignment: Capstone Design Project
ABET Criterion 3 (f) an understanding of professional and ethical responsibility
Key assignment: Incident at Morales
ABET Criterion 3 (g) an ability to communicate effectively
Key assignment: Contemporary Issues Presentations
ABET Criterion 3 (i) a recognition of the need for, and an ability to engage in life-long learning
Key assignment: Homework Assignment and Final Exam Question
ABET Criterion 3 (j) a knowledge of contemporary issues
Key assignment: Contemporary Issues Presentations and Follow-up Exam Questions
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.
Key assignment: Capstone Design Project
ABET Criterion 9. The program must demonstrate that graduates have the ability to design, develop, implement & 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.
Key assignment: Capstone Design Project

Topics Covered:

Capstone project
Capstone projectContemporary issues
Capstone projectProfessional and ethical responsibility
Capstone projectInterview skills and resume preparation techniques
Capstone projectPractical IE application of IE techniques in “The Goal”

Credit and Contact Hours: (0-3)(2-3) 2 lecture sessions per week, 1 hour per session, and 2 laboratory sessions per week, 1 hour 20 minutes per session.

Student Outcomes: c, f, g, i, j.

Instructor's Name: Dr. Rogers.