Web site at: http://www.utep.edu/meandie/
101 Engineering/Science Complex
(915) 747-5450
E-mail: meandie@utep.edu
4.- Industrial Engineering (IE) Courses
For Graduate Students Only
5195 Graduate Seminar (1-0)
Lectures and discussions of various topics in industrial engineering by faculty, graduate students, and speakers from industry and other institutions. Required for all non-thesis graduate students each semester they are in the graduate program. This seminar will be counted only once toward graduate degree requirements.
5291 Comprehensive Integration of Industrial Engineering (0-0-2)
This course is designed to prepare the non-thesis student for the written and oral components of the final comprehensive examination. Key technical concepts, methodologies, and issues in the core subject areas will be reviewed and integrated. This course is to be taken in the student's final semester in the non-thesis MS program. If a student fails the exam (and thus the course), the student can re-enroll for IE 5291 the following semester, up to a total of three attempts. Prerequisite: Department approval.
5294 Graduate Research (0-0-2)
5394 Graduate Research (0-0-3)
5494 Graduate Research (0-0-4)
Individual variable-credit research of contemporary topics in industrial engineering. Prerequisite: Permission of Graduate Advisor.
5313 Expert Systems for Industrial Applications (3-0)
Survey of applied areas of artificial intelligence including machine vision and robotics. Expert systems technology as it applies to industrial problems. Discussion of commercial expert systems. Construction of expert system using expert system building tools. Prerequisite: Instructor approval.
5316 Advanced Work Design (3-0)
This course will focus on the theoretical and practical issues concerning the design of work. It will provide a thorough coverage of the principles of industrial safety, plant layout and design, and methods engineering from a productivity and quality man-machine system perspective. The course will consist of lectures, class discussions, and student projects.
5330 Industrial Statistics (3-0)
Industrial statistics techniques such as generating functions, multivariate transformations, modes of convergence, limit theorems, parametrical statistical models, sufficiency, estimation, confidence intervals, hypothesis testing, optimal tests, and large sample theory. A strong emphasis is placed on the application of statistical techniques to industrial problems. Prerequisite: IE 3330.
5332 Advanced Concepts in Safety Engineering (3-0)
Survey of industrial Safety Engineering topics to include hazard control principles, tools and machines, materials handling, noise and vibration, chemicals, ventilation, hazardous waste, personal protective equipment risk assessment, facility development process and safety, risk management and assessment, system safety, and accident investigation and analysis. This course will consist of lectures and class discussions. A semester project is an integral part of this course. Prerequisite: IE 4332 or instructor approval.
5341 Advanced Production and Inventory Control (3-0)
This course emphasizes inventory control management for production planning and includes topics in inventory control, forecasting, lot sizing, dispatching, scheduling, releasing, kitting, MRP and just-in-time models. Strong emphasis on the solution and research of existing production and inventory control problems. Prerequisite: Instructor approval.
5351 Linear and Combinatorial Optimization Methods (3-0)
Deterministic operations research techniques such as linear programming and its extensions, duality theory, sensitivity analysis, network related models, integer programming, and dynamic programming. Applications include production planning and project networks such as PERT/CPM. Prerequisite: IE 3389 or instructor approval.
5352 Design and Analysis of Industrial Experiments (3-0)
Investigation of statistical sampling methods, hypothesis testing procedures, and design of experiments. Both parametric and non-parametric procedures are included. Prerequisite: IE 4385 or instructor approval.
5354 Advanced Engineering Economy (3-0)
Capital budgeting, deterministic investment analysis, probabilistic engineering economy, manufacturing cost models, utility theory, and computer applications to engineering economy. Prerequisite: IE 3326 or instructor approval.
5355 Management of Technology (3-0)
This course emphasizes the tools, techniques, concepts, and theories of managing an organization in a technological environment. Treated are the relevant issues concerning strategic planning, information management, reengineering of the corporation, and integrating of emerging technologies and concurrent engineering. Prerequisite: Instructor approval.
5357 Computer Simulation Applications (3-0)
An introduction to the concepts of simulation methodology as applied to the design and analysis of industrial systems. Specialized computer simulation language is applied to an industrial analysis or design term project. Prerequisite: Department approval.
5358 Nonlinear Optimization Methods (3-0)
General Optimization theory and numerical optimization methods for non-linear decision models. Coverage includes applications to automatic process control, engineering design optimization as well as available computer software. Prerequisite: IE 3389 or instructor approval.
5365 Survey of Operations Research (3-0)
An overview of advanced deterministic and probabilistic operations research techniques will be the main emphasis of this course. Topics to be covered include the formulation and solution of linear, dynamic, and integer programming as well as analysis of queuing systems. The course will consist of lectures and class discussions. Prerequisites: IE 3389 and IE 4392.
5377 Advanced Ergonomics and Process Design (3-0)
This course emphasizes the tools, techniques, concepts, and theories of ergonomics and human performance criteria for work in the manufacturing environment. Emphasis is on the design and evaluation of workstations, man-machine systems, and processes. Prerequisite: Instructor approval.
5385 Advanced Quality Control (3-0)
This course covers current advances in quality control. The emphasis of the course is on continuous quality improvement. The course will concentrate on advanced quality control topics including, but not limited to, process, capability analysis, philosophies of quality management, advanced statistical process control, quality costs, and automated quality control. Prerequisite: Instructor approval.
5387 Quality Engineering Methodologies (3-0)
Topics such as quality organization, quality assurance, quality policies and objectives, quality information systems, metrology, inspection and testing, quality planning, quality function deployment, and supplier quality assurance. Quality standards and legal issues with respect to quality such as torts, negligence, and contracts will also be addressed. A semester project is an integral part of this course. Prerequisite: IE 5385.
5390 Special Topics (3-0)
Advanced topics of contemporary interest in industrial engineering. May be repeated for credit when topic varies. Prerequisite: Instructor approval.
5391 Individual Studies (0-0-3)
Individual variable-credit for non-thesis related research, design, or analysis on advanced phases of Industrial Engineering problems conducted under the direct supervision of a faculty member. A maximum of three credit hours may be applied towards the MS degree. Prerequisite: Permission of Graduate Advisor.
5396 Graduate Design (0-0-3)
Individual research, design, or analysis on advanced phases of industrial engineering problems, conducted under the direct supervision of a faculty member. Prerequisite: Instructor approval.
5397 Graduate Projects (0-0-3)
Individual research, design, or analysis on advanced phases of industrial engineering problems, conducted under the direct supervision of a faculty member.
Prerequisites: IE 5396 and instructor approval.
5398 Thesis (0-0-3)
Initial work on the thesis.
5399 Thesis (0-0-3)
Continuous enrollment required while work on thesis continues. Prerequisite: IE 5398.
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