Doctor of Philosophy with a major in Industrial Engineering

Doctor of Philosophy with a Major in Industrial Engineering - Applied Statistics Track

The emphasis in this track is on the use of statistics as a science that is employed in a technological environment. Within this context, a student takes fundamental coursework in mathematics, probability and statistics suitable to conduct advanced work and research in a variety of application domains. Among these are quality systems, manufacturing, production, and simulation.

Doctor of Philosophy with a Major in Industrial Engineering - Supply Chain Engineering Track

This program focuses on the design and analysis of manufacturing, distribution, and transportation systems. Students take fundamental coursework in optimization, stochastics, and statistics in order to build a firm base from which to deal with the myriad of issues that arise in settings involving modern supply chain systems modeling and analysis: production and inventory systems, vehicle routing and scheduling, warehousing, and logistics.

Doctor of Philosophy with a Major in Industrial Engineering - Economic Decision Analysis Track

 
Engineering economic decision analysis is a broad-based area of study that concentrates on both theoretical approaches and the applied methodologies in various decision-making domains within an economic environment. Typical settings that attract students to this program include multicriteria decision-making, capital budgeting, auctions, portfolio analysis and selection, economic forecasting, utility theory, and quantitative finance.

Doctor of Philosophy with a Major in Industrial Engineering - System Informatics & Control Track

Domain Core
ISYE 6810Systems Monitoring and Prognostics3
ISYE 7201Production and Service Systems Engineering3
ISYE 7204Informatics in Production & Service Systems3
Methods Core
Select three of the following:9
Optimization I: Linear Programming
Stochastic Processes I
Data Mining and Statistical Learning
Linear Systems and Controls
Methods Breadth
Select at least three courses from at least two of the areas:9
Stochastics and Simulation
Simulation
Advanced Simulation
Queuing Theory
Stochastic Processes II
Statistics
Time Series Analysis
Statistical Methods for Manufacturing Design and Improvement
Theoretical Statistics
Design and Analysis of Experiments
Introduction to Theory and Practice of Bayesian Statistics
Advanced Statistical Modeling
Multivariate Data Analysis
Optimal Estimation
Computing and Algorithms
Computational Methods in Optimization
Computability, Algorithms, and Complexity
Computational Statistics
Dynamics and Control
Advanced Linear Systems
Nonlinear Systems and Control
Optimal Control and Optimization
Adaptive Control
Digital Control
Intelligent Control
Automata Theory
Linear Control Systems
Nonlinear Control Systems
Variational Methods in Engineering
Digital Control Systems
Advanced Control System Design and Implementation
Optimization
Stochastic Optimization
Optimization II: Network Flows and Discrete Optimization
Optimization III: Nonlinear Programming
Elective
Approved Methodology Course
Seminar
ISYE 8014Contemporary Topics in System Informatics and Control1
Applications
Select at least one of the following:3
Manufacturing Systems
Warehousing Systems
Transportation and Supply Chain Systems
Manufacturing Systems Design
Manufacturing Processes and Systems
Automated Manufacturing Process Planning
Metrology and Measurement Systems
Engineering Data Base Management Systems
Total Credit Hours31

It is recommended that students complete the domain and methods core courses before they sit for the comprehensive examination.

A student is not admitted to candidacy until all of the stated course requirements in the Program of Study have been completed.