INDUSTRIAL AND SYSTEMS ENGINEERING (IE)
IE 201 ENGINEERING MANAGEMENT
Prerequisite: None
This course focuses on management theory which may be applied to engineering and technical organizations. Specific topics include: management process and management functions (planning, organizing, leading, and controlling); project management; managing technical people; engineering ethics, globalization, engineering career management, and/or other contemporary management concepts.
Credit: 3
IE 202 ENGINEERING ECONOMIC ANALYSIS
Prerequisite: MATH 205, ECON 232
This course considers the broad question of how to make good decisions in an engineering context. Money is used as a representation for any set of resources that may come into play in engineering a system. The course will consider engineering decision making from an economic point of view, learn a number of terms and common formulae, and practice several types of calculations used in engineering economic analysis.
Credit: 3
IE 203 PRINCIPLES OF ENGINEERING
Prerequisite: None
This course will provide an introduction to industrial engineering, design, and entrepreneurship. In addition, teamwork and professional integrity, both important aspects of engineering will be addressed. This is a team-based, hands-on course, in which most of our class time will be spent working in teams to solve problems and participate in discussions, using what we learn in the course.
Credit:3
IE 205 INTRODUCTION TO INFORMATION SYSTEMS ENGINEERING
Prerequisite: None
This course is intended to provide a broad introductory understanding of information systems for Industrial Engineering students. The objectives of this course are for students to learn how to apply, analyze, and manage enterprise information systems to support fundamental business processes and operations, enhance business decision making, and enable critical strategies for a company to gain competitive advantages in the highly competitive business environment.
Credit: 3
IE 303 PRODUCTIVITY ANALYSIS
Prerequisite: IE 205, MATH 317
This course introduces students to industrial engineering concepts and thought process mapping, operations analysis, and design, 6s, lean systems, root cause analysis, methods engineering, standards development, predetermined time systems, computerized work measurement, motivation and incentives.
Credit: 3
IE 304 FACILITY LAYOUT AND MATERIAL HANDLING
Prerequisite: MATH 317, MFG 201
This course introduces students to facility layout and location topics, including activity relationships, space and personnel requirements, layout and location methodologies. The course will also cover, material handling methods and equipment including conveyors, lift trucks, carousels, automated guided vehicles, and automated storage and retrieval systems.
Credit: 3
IE 305 HUMAN FACTORS ENGINEERING
Prerequisite: IE 201, MATH 317
This course applies Industrial Engineering techniques in the study of human abilities, characteristics, behavior, and motivation in the design, development and operation of components and systems designed for human use.
Credit: 3
IE 401 STATISTICAL TESTING AND REGRESSION
Prerequisite: IE 202, MATH 317
This course applies hypotheses testing, multiple regression, empirical model building, analysis of variance and design of experiments, goodness-of-fit tests, contingency tables, and statistical quality control to problems encountered by Industrial Engineers.
Credit: 3
IE 402 DESIGN OF EXPERIMENTS AND QUALITY ASSURANCE
Prerequisite: IE 303, 401
This course will discuss the statistical methods useful in quality control and improvement and their future development. The theory and methods of quality monitoring and including process capability, control charts, acceptance sampling, quality engineering, and quality design.
Credit: 3
IE 403 STATICS AND DYNAMICS
Prerequisite: IE 304
This course provides students with an overview of supply chain management with an emphasis on operations and strong quantitative orientation. The course will also focus in supply chain strategies, sourcing decisions, demand forecasting, aggregate planning, managing supply and demand. Students will analyze production and inventory control systems, including MRP and JIT.
Credit: 3
IE 405 STOCHASTIC METHODS
Prerequisite: IE 401
This course will cover Stochastic decision modeling techniques, including discrete-time, Markov chains, continuous time Markov chains, and queuing theory.
Credit: 3
IE 406 SIMULATION MODELING
Prerequisite: IE 401
This course will challenge students to utilize industrial engineering tools including, random number generation, distribution functions, random variates, and game of chance. Students will also learn applications of discrete event simulation methods of queuing, inventory control, and production planning.
Credit: 3
IE 407 SENIOR PROJECT
Prerequisite: Senior Status
This course prepares students to use analytical investigation techniques for total project problems in technical organizations. Students will solve a client problem by utilizing industrial engineering capabilities acquired by students during the program of study. Provides students with project team experience, report writing and seminar presentation of team results.
Credit: 3