General Non-Thesis Option

The general non-thesis program is intended for the student who desires to obtain a broad exposure to all areas of industrial engineering practice with some specialization in one major area of interest as opposed to the student seeking specialization in one of the five major topics listed previously. It is recommended, but not required, that the plan of study contains at least one course selected from five of the following seven groups in order to assure breadth.

Group I
Economics and Decision Making
  • IE 545 Engineering Economic Analysis
  • IE 546 Economic Decisions in Engineering
  • IE 548 Knowledge-Based Systems
  • IE 646 Advanced Decision Theory
Group II
Human Factors
  • IE 556 Job Design
  • IE 558 Safety Engineering
  • IE 559 Cognitive Engineering of Interactive Software
  • IE 577 Human Factors in Engineering
  • IE 656 Research Seminar in Human Factors
  • IE 659 Human Aspects in Computing
Group III
  • IE 570 Manufacturing Process Engineering
  • IE 572 Precision Manufacturing Systems
  • IE 574 Industrial Robotics and Flexible Assembly
  • IE 575 Computer-Aided Manufacturing I
  • IE 670 Advanced Topics in Manufacturing Engineering
  • IE 672 Automatic Manufacturing Systems
  • IE 675 Computer-Aided Manufacturing II
  • IE 676 Flexible Manufacturing Systems Design and Control
Group IV
Production and Operations Management
  • IE 566 Production Management Control
  • IE 579 Design and Control of Production and Manufacturing Systems
  • IE 582 Advanced facilities Design
  • IE 583 Design and Evaluation of Material Handling Systems
  • IE 632 Scheduling Models
  • IE 666 Production Management Analysis
  • IE 674 Computer and Communications Methods for Production Control
Group V
Deterministic Optimization
  • IE 535 Linear Programming
  • IE 537 Discrete Optimization Models and Algorithms
  • IE 538 Nonlinear Optimization Algorithms and Models
  • IE 630 Multiple Objective Optimization
  • IE 631 Heuristic Optimization
  • IE 633 Dynamic Programming
  • IE 634 Integer Programming
  • IE 635 Theoretical Foundations of Optimization
  • IE 639 Combinatorial Optimization
Group VI
Quality Engineering
  • IE 530 Quality Control
  • IE 532 Reliability
  • IE 533 Industrial Applications of Statistics
Group VII
Stochastic Modeling
  • IE 536 Stochastic Models in Operations Research I
  • IE 539 Stochastic Service Systems
  • IE 580 Systems Simulation
  • IE 581 Simulation Design and Analysis
  • IE 636 Stochastic Models in Operations Research II
  • IE 637 Computational Methods for Queueing Networks
  • IE 638 Engineering and Technological Forecasting Methods
  • IE 680 Advanced Simulation Design and Analysis

The remaining five courses should be selected to form a cohesive plan of study using the following general guidelines:

  • Two additional courses in industrial engineering, one of which can be a three credit-hour design project (IE 690) if desired.
  • Three related courses within or outside the field of industrial engineering.
  • Students should try to select 600 level courses wherever possible for their course work in order to attain a high level of expertise in at least one area of industrial engineering.