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

Domain Core
ISYE 6810Sys Montr&Prognostics3
ISYE 7201Prod&Service Sys Engg3
ISYE 7204Info Prod & Ser Sys3
Methods Core
Select three of the following:9
Linear Optimization
Stochastic Processes I
Data Mining&Stat Learn
Linear Sys and Controls
Methods Breadth
Select at least three courses from at least two of the areas:9
Stochastics and Simulation
Simulation
Advanced Simulation
Queueing Theory
Stochastic Processes II
Statistics
Time Series Analysis
Statistical Meth-Mfg Dgn
Theoretical Statistics
Dsgn & Analy-Experiments
Bayesian Statistics
Adv Statistical Modeling
Multivariate Data Analy
Optimal Estimation
Computing and Algorithms
Computational Methods
Computational Statistics
CS 6650
Dynamics and Control
Adv Linear Systems
Nonlinear Systems
Optimal Control
Adaptive Control
Digital Control
Intelligent Control
Automata Theory
Linear Control Systems
Nonlinear Control System
Variational Methods
Digital Control Systems
Adv Ctrl Dsgn Implement
Optimization
Stochastic Optimization
Discrete Optimization
Nonlinear Optimization
Elective
Approved Methodology Course
Seminar
ISYE 8014Topics in SIAC1
Applications
Select at least one of the following:3
Manufacturing Systems
Warehousing Systems
Transp&Supply Chain Sys
Manufacturing Sys Design
Mfg Processes & Systems
Auto Mfg Process Plan
Metrology & Measure Sys
Engr Database Mgt System
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.