Industrial Engineering Graduate Courses

Most students focus their studies in one of the following areas:

  1. Supply Chain and ERP
  2. Data Science, Operations Research, and Statistics
  3. Manufacturing, Safety and Automation

The department also offers several popular software development courses that support a wide variety of interests:

  1. Applied Programming (Python)
  2. Engineering Database
  3. ST: User Interface (JavaScript)

Many students also take a Project Management or Entrepreneurship course that also supports a wide variety of interests. IE students can take one course outside of the department per semester typically in business, other engineering departments or computer science.


Course Offerings and Descriptions

View the Comprehensive Catalog at lamar.edu/catalog

Industrial Engineering (INEN)

Course Number: 5101
Credit Hours: 1
Title: Special Topics

Course Description:
An investigation into specialized study in advanced areas of engineering under guidance of a faculty member. This course may be repeated for credit when topics of investigation differ.

Course Number: 5301
Credit Hours: 3
Title: Special Topics

Course Description:
An investigation into specialized study in advanced areas of engineering under guidance of a faculty member. This course may be repeated for credit when topics of investigation differ.

Course Number: 5302
Credit Hours: 3
Title: Introduction to Port Management

Course Description:
This course will provide an overview of all aspects and considerations involved in the management of port authorities and marine terminals across the wide array of publicly and privately owned and operated facilities. The course will also address governance and organizational structure options and implications.

Course Number: 5304
Credit Hours: 3
Title: Risk Management and Decision Making

Course Description:
The course provides an overall decision analysis paradigm and a set of tools - primarily decision-tree analysis and Monte Carlo simulation - to construct and facilitate decision making. A variety of exercises, problems, and case studies, analytical modeling, data analysis and optimization will be utilized to facilitate logical, strategic and tactical choices in data- and time-constrained management environments.

Course Number: 5305
Credit Hours: 3
Title: Reliability

Course Description:
Statistical theories pertinent to solution of engineering problems in reliability; distribution and failure theory including failure rate and mean time to failure for the exponential, log normal, gamma and Weibull distributions.

Course Number: 5306
Credit Hours: 3
Title: Freight Transportation Logistics

Course Description:
A course covering quantitative models (optimization, queuing, and simulation) for ports and international logistics. The class will study container, RORO, bulk and tanker port modeling.

Course Number: 5307
Credit Hours: 3
Title: Capital Projects

Course Description:
Economic analysis of capital investments in large scale infrastructure. Topics include planning, budgeting, justification, analysis, and funding strategies. Techniques include time value of money, rates of return, depreciation, cost estimation, benefit cost analysis, capital allocation, simulation and decision making under uncertainty.

Course Number: 5308
Credit Hours: 3
Title: Port Security and Resiliency Planning

Course Description:
Principles of industrial accident prevention, accident statistics and costs, accident causation, appraising safety performance, recognizing port/terminal health, safety, environmental and security hazards and recommending safeguards. Includes a study of mandatory, recommended and voluntary standards.

Course Number: 5309
Credit Hours: 3
Title: Strategic and Facility Master Planning

Course Description:
To provide the student with the knowledge of how to manage the port estate.

Course Number: 5310
Credit Hours: 3
Title: Marine Terminal Operations

Course Description:
Port and maritime terminals will be analyzed and new requirements for terminal operating capacities will be introduced to better grasp changing port environments in this class. These analyses are the basis for port engineering design and development. In addition, SEELS (The Scalable End-to-End Logistic Simulation) port operation software will be introduced as port management tool. This software was specifically designed to create specific port operations and allows users to create what-if analysis.

Course Number: 5312
Credit Hours: 3
Title: Quality Improvement

Course Description:
Statistical methods and other Industrial Engineering analysis and design tools are used to control and improve quality and assure requirements are met.

Course Number: 5316
Credit Hours: 3
Title: Industrial Management

Course Description:
Provides a foundation for becoming a manager in an industrial organization. Topics include: Strategic planning, culture change, organizational analysis and technology management. Students will apply decision making methodologies to hypothetical situations.

Course Number: 5320
Credit Hours: 3
Title: Stat Decision Making

Course Description:
Analysis of data to help the engineer/executive make decisions. Evaluations of performance claims, probability distributions, hypothesis testing, ANOV, design of experiments.

Course Number: 5321
Credit Hours: 3
Title: Quality Control Systems

Course Description:
Application of statistical methods to industrial problems; regression and correlation theory; analysis of variance; use of control charts for control of manufacturing operations.

Course Number: 5331
Credit Hours: 3
Title: Technology Entrepreneurship

Course Description:
A project-based course focused on product design and emphasizing how engineers create value for new business ventures. Students will develop a mock startup company from idea to business model.

Course Number: 5333
Credit Hours: 3
Title: Operations Research II

Course Description:
Advanced topics in operations research-linear programming, non-linear programming, advanced topics in queuing and inventory theories, sensitivity analysis and dynamic programming.

Course Number: 5339
Credit Hours: 3
Title: Material Science & Mfg Process

Course Description:
Basic principles underlying the behavior of engineering materials and methods of processing these materials.

Course Number: 5345
Credit Hours: 3
Title: Comp Integrated Manufacturing

Course Description:
Advanced concepts in computer aided design and manufacturing to include geometric modeling in a 3D solids environment, analysis of engineering design problems, robotics, computer numerical control, and manufacturing control systems. Course includes a design project.

Course Number: 5350
Credit Hours: 3
Title: Prod & Invent Control

Course Description:
Techniques for planning and controlling production and inventories. Forecasting, aggregate planning, materials requirements planning, scheduling, project management.

Course Number: 5353
Credit Hours: 3
Title: Manufacturing Analysis

Course Description:
Theoretical and practical consideration in conventional and emerging manufacturing processes including machining, heat treating, electrical discharge machining, electrical chemical machining, laser machining, rapid prototyping, micro-machining, and environment conscious manufacturing.

Course Number: 5354
Credit Hours: 3
Title: Lean Manufacturing

Course Description:
Introduction and overview of the Lean Manufacturing techniques. Topics include, but are not limited to, lean system, lean system standards, manufacturing system design, manufacturing cell design, 5S, visual management.

Course Number: 5357
Credit Hours: 3
Title: Supply Chain Management

Course Description:
A comprehensive review of supply chain management techniques and methods to improve efficiency, synchronization, customization and innovation. Topics include logistics, network design and operation.

Course Number: 5358
Credit Hours: 3
Title: Intro Robotics

Course Description:
This course introduces students to robotics theory, sensors and actuators, kinematics and dynamics, path planning and algorithms for robotics.

Course Number: 5363
Credit Hours: 3
Title: Six Sigma

Course Description:
Overview of the six sigma DMAIC methodology at green belt level of competency with emphasis on process management.

Course Number: 5369
Credit Hours: 3
Title: Engineering Management

Course Description:
This course is designed to prepare engineering students to gain necessary management skills to lead technical organizations in a globally challenged environment. topics include, but are not limited to, management techniques from past to present, engineering manager skills, environment and sustainability, globalization and social responsibilities, diversity issues in corporate US, planning, controlling, leading and organizing tools and techniques, decision-making, ethics in the workplace and teams and teamwork.

Course Number: 5370
Credit Hours: 3
Title: Operations Research

Course Description:
An introduction to the construction of mathematical models for organizational systems to aid executives in making decisions. Linear programming, network flow programming, dynamic programming, queuing theory.

Course Number: 5374
Credit Hours: 3
Title: Human Factors Engineering

Course Description:
Convey human factors considerations in design and research. Applications include control panels, audio and video displays, computer work stations, special accommodations.

Course Number: 5375
Credit Hours: 3
Title: Simulation of IE Systems

Course Description:
Introduction to concepts of simulation modeling and analysis with application to manufacturing and service systems. Students will apply problem solving and process analysis techniques to an industrial engineering problem and propose an improved systems design.

Course Number: 5376
Credit Hours: 3
Title: Occup Ergonomics

Course Description:
Application of ergonomics to the design and/or redesign of jobs, manufacturing workstations, and other work environments to achieve increased profitability and reductions in injury/illness.

Course Number: 5380
Credit Hours: 3
Title: Project Management

Course Description:
One of the main course objectives is to understand the fundamentals of project management to meet project objectives and customer expectations. Students will learn the unique terminology of project management. Basic tools and techniques of project management will be explored. Students will understand the important roles of project managers.

Course Number: 5381
Credit Hours: 3
Title: Heuristic Algorithms

Course Description:
Heuristic Algorithms and applications to classical and real life problems. Justification and logic of heuristic algorithms. Greedy algorithms, Steepest Ascent, Numerical optimization, Simulated Annealing, Taboo Search, Cross entropy optimization, TSP, Set covering, Set partitioning.

Course Number: 5382
Credit Hours: 3
Title: Enterprise Bus Intelligence

Course Description:
This course introduces students to data mining focusing on business enterprise data. Major topics covered are data integration, data cleaning, classification algorithms, clustering, regression and neural networks.

Course Number: 5394
Credit Hours: 3
Title: Engineering Database Design

Course Description:
To provide students in engineering with knowledge about the design and implementation of engineering applications using database technology. Examples will be drawn from manufacturing and production systems. It is assumed that students have had a programming course and are familiar with fundamental programming constructs. Visual Basic for Application is used in this course.

Course Number: 5396
Credit Hours: 3
Title: Automated System Engineering

Course Description:
To provide students in engineering with knowledge about the industrial automation and process control in the manufacturing industry: control system, PLC, sensor and actuator, auto-id, flexible manufacturing system, assembly line and automatic inspection.