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IE GRADUATE COURSES
5301.
Advanced Problems in Industrial
Engineering.
V:1-3
Individual or group
research on advanced problems conducted under the supervision of a
faculty member. Maximum credit six semester hours.
5303.
Advanced Topics in Industrial
Engineering.
V:1-3
One or more advanced topics. May be when topic changes.
5305.
Graduate Research
Project.
3
A Graduate Research Project must be completed and submitted to the
Graduate Office for a grade to be assigned, otherwise IP notations are
recorded. This course is specifically designed for Plan II and Plan II
students. Prerequisite: departmental approval.
5306. Thesis.
3
This course is for Plan I Students. The course requires 6 hours of
grades, the first 3 hours consisting of completion of a thesis proposal
and the last 3 hours consisting of completion of the thesis. Completion
of the thesis proposal is a prerequisite for enrollment in the last 3
hours of thesis.
5313.
Inventory
Systems.
3(3-0)
Deterministic/stochastic systems with static/dynamic models. Use of
forecasting techniques. Practice of inventory management, manual, and
computerized procedures, and MRP. Case studies in inventory systems
management. Prerequisite: Three hours undergraduate production and
Inventory Control or equivalent.
5314.
Activity Scheduling.
3(3-0)
Deterministic/stochastic sequencing problems with static/dynamic
models. Problems involving single and multiple facilities (flow shop,
job shop). Problems involving different measure of effectiveness,
solution techniques (optimizing, heuristic). Industrial scheduling
problems. Prerequisite: IE 5313.
5315.
Nonlinear Programming.
3(3-0)
Quantitative procedures for optimization techniques; steepest
ascent/descent; gradient methods.
Nonlinear problems such as quadratic programming, geometric
programming, convex programming, separable programming, etc.
Prerequisite: Six hours of undergraduate operations research or
equivalent and graduate standing.
5321.
Computer Application of Statistical Methods in Engineering.
3(3-0)
Extreme value distribution, multivariate normal distribution, simple
and multiple regression analyses, analysis of variance, time series
analysis a survey of nonparametric statistics, chi square, t, and F
distributions. Prerequisite: Undergraduate course in Applied Methods in
Engineering Statistics or the equivalent.
5322.
Computer Simulation of Industrial Systems
3(3-0)
Introduction to simulation, a survey and application of computer
languages suitable for Monte Carlo simulation of random processes,
model construction, advantages and shortcoming of simulation
techniques, programming with simulation languages.
5323.
Occupational Biomechanics.
3(3-0)
Study of the structure and function of musculo-skeletal system of the
human body, kinetic and kinematics models, link segment diagram and 3-D
static modeling. Applying bioinstrumentation to determine the human
performance, work capacity and muscle strength evaluation.
Biomechanical considerations in machine control and work place design.
5323.
Occupational Biomechanics.
3(3-0)
Study of the structure and function of musculo-skeletal system of the
human body, kinetic and kinematics models, link segment diagram and 3-D
static modeling. Applying bioinstrumentation to determine the human
performance, work capacity and muscle strength evaluation.
Biomechanical considerations in machine control and work place design.
5324.
Ergonomics.
3(3-0)
Application of ergonomic principles to the work environment. Design of
the system to fit and interact with the human operator. Collection and
utilization of anthropometric data in the design of workstations,
tools, safety equipment and VDT workstations. Study of the interaction
between human operator and the environment including the effect of
noise improper lighting, vibration, heat and cold on physical and
mental performance.
5325.
System
Safety.
3(3-0)
Application of engineering design and management of industrial
prevention models along with ethical responsibilities to eliminate,
prevent or control hazards throughout the life cycle of a project,
program, procedure or activity.
5326.
Economic Decision
Theory.
3(3-0)
Source of information, prediction and judgment, subjective probability
bidding policy. Statistical decision theory including utility function,
risk and uncertainty, min-max and Bayes strategy. Prerequisite: IEEN
5329 or equivalent.
5328.
Reliability Theory.
3(3-0)
Reliability analysis with emphasis on the exponential, Weibull, gamma,
log normal, and extreme value distributions; reliability of systems,
redundancy; maintainability and availability. Prerequisite: IEEN 5313.
5329.
Advanced Engineering Economic Analysis.
3(3-0)
Continuation of Engineering Economic Analysis including funds flow,
utility, price changes, investment, growth, replacement, taxes, capital
budgeting, and managerial economics. Prerequisite: Three hours
undergraduate course in Engineering Economic Analysis or equivalent.
5330. Computer Integrated Engineering
Design.
3(3-0)
Overview to the fundamental principles and concepts underlying CAD/CAE
systems. Emphasis on three dimensional parameters and feature-based
CAD/CAM systems. Introduction to the concurrent design approach -
design for manufacturing, design for assembly, design for reliability,
design for maintainability are introduced. Applications of artificial
intelligence in CAD/CAM system. Enhancement of student's application
and development skills of CAD/CAM software.
5331. Computer Integrated Manufacturing Systems.
3(3-0)
Advanced systems concept of Computer Integrated Manufacturing Advanced
System, definition of manufacturing and its various levels, planning
and control of product movement through the production system,
successful use of Automation, Robotics, Just-In-Time Manufacturing, and
Knowledge Based Systems. Prerequisite: MEEN 5303.
5332.
Manufacturing System
Design.
3(3-0)
Systematic description of the underlying behavior of manufacturing
systems. Topics include basic factory dynamics, corrupting influence of
variability, push and pull production systems, human element in
manufacturing systems design and supply chain management.
5334.
Lean
Manufacturing.
3(3-0)
Identifying key Lean concepts for manufacturing and defining these
concepts for products/process design. Understanding Lean terminology,
value stream mapping for manufacturing systems, design of Lean
equipment, product cell design, operator job design and five steps to
Kaizen. Lean manufacturing approach to help reduce manufacturing costs,
reduce or eliminate waste and increase profit margins.
5335.
Principles of Optimization.
3(3-0)
Nonlinear Optimization: Convexity, Kuhn-Tucker conditions, theory of
duality. Linear and combinatorial optimization. Dynamic optimization.
Prerequisite: Six hours of undergraduate operations research or
equivalent.
5336. Linear Programming and Extensions.
3(3-0)
Theory of linear programming including the simplex method, duality,
sensitivity analysis, decomposition principles, the transportation
problem, and integer programming. Prerequisite: IEEN 5335 or
equivalent.
COURSES
AVAILABLE UNDER
IEEN 5303 - ADVANCED TOPICS IN
INDUSTRIAL ENGINEERING:
1. Artificial
Intelligence and Expert Systems
2. Quality Management
3. Computer Integrated Engineering Design
4. Facilities Design and Plant Layout
5. Ergonomics
6. Computer Simulation II
7. Fundamentals of Automatic Manufacturing
8. Forecasting
9. Stochastic Processes
10. Design for Manufacturing
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