Graduate Courses in Industrial Engineering
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 6 semester hours.
5303. Advanced Topics in Industrial Engineering. V:1-3
One or more advanced topics. May be repeated 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 III 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: 3 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: IEEN 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: 6 hours of undergraduate operations research or equivalent and graduate standing.
5321. Computer Application of Statistical Methods in Engineering. 3(3-0)
Extreme value distributions, 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 shortcomings 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 kinematic models, link segment diagrams and 3-D static modeling. Applying bio- instrumentation 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)
Sources of information, prediction and judgment, subjective probability bidding policy. Statistical decision theory including utility functions, 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: 3 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/CAD/CAE systems. Emphasis on three dimensional parametric 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 systems, 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: 6 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.
This page was last updated on: June 11, 2014