Mechanical and Industrial Engineering
Web site at:
http://www.utep.edu/meandie/
101 Engineering/Science Complex
(915) 747-5450
5.- Industrial Engineering (IE) Courses
For Graduate Students Only
1591 Individual Studies (0-0-1)
3591 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.
1594 Graduate Research (0-0-1)
2594 Graduate Research (0-0-2)
3594 Graduate Research (0-0-3)
4594 Graduate Research (0-0-4)
5594 Graduate Research (0-0-5)
6594 Graduate Research (0-0-6)
Individual variable-credit research of contemporary topics in industrial
engineering. Prerequisite: Permission of Graduate Advisor.
1595 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.
2591 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 2591 the following
semester, up to a total of three attempts. Prerequisite: Department
approval.
3513 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.
3516 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.
3530 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.
3532 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 3432 or instructor
approval.
3541 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.
3551 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.
3552 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 3485 or instructor approval.
3554 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.
3555 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.
3556 Probabilistic Optimization Methods (3-0)
Probabilistic operation research technique such as stochastic programming,
Markov decision models, queuing theory, and system reliability theory.
Prerequisite: IE 3492 or instructor approval.
3557 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.
3558 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.
3559 Computer-Aided Manufacturing (3-0)
Modern concepts of using computers for manufacturing, including the theory
of computer numerical control (CNC) and direct numerical control (DNC), CNC
milling, CNC tuning and computer-aided process design. Prerequisite:
Instructor approval.
3562 Graphical Elements of Computer-Aided Design and Manufacturing (3-0)
Modern concepts of using computer graphics for engineering design and
manufacturing, including computer graphics standards such as CORE graphics
and GKS, graphic input/output devices, and software design and programming
techniques for computer-aided design and manufacturing (CAD/CAM).
Prerequisite: IE 3559.
3565 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 3492.
3577 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.
3585 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.
3587 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 3585.
3590 Special Topics (3-0)
Advanced topics of contemporary interest in industrial engineering. May be
repeated for credit when topic varies. Prerequisite: Instructor approval.
3596 Graduate Designs (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.
3597 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. Prerequisite: IE 3596 and instructor approval.
3598 Thesis (0-0-3)
Initial work on the thesis.
3599 Thesis (0-0-3)
Continuous enrollment required while work on thesis continues.
Prerequisite: IE 3598.
