Industrial engineering, operations research, and systems engineering are fields of study intended for individuals who are interested in analyzing and formulating abstract models of complex systems with the intention of improving system performance. Unlike traditional disciplines in engineering and the mathematical sciences, the fields address the role of the human decision-maker as key contributor to the inherent complexity of systems and primary benefactor of the analyses.
Georgia Tech pursues leading-edge research with industry, government, and community partners.
At ISyE, we are a national leader in 10 core research areas: Advanced Manufacturing, Analytics and Big Data, Economic Decision Analysis, Health, Optimization, Statistics, Stochastics and Simulation, Supply Chain Engineering, Sustainable Systems Engineering, and System Informatics and Control.
You can stay in touch with all things ISyE through our news feed, by reading one of our publications, or attending one of our upcoming events. ISyE employs some of the world’s most experienced researchers in their fields who enjoy sharing their perspectives on a wide variety of topics. Our faculty is world-renowned and our students are intellectually curious. Our alumni can be found around the globe in leadership positions within a wide variety of fields.
Description: Topics include conditional probability, density and distribution functions from engineering, expectation, conditional expectation, laws of large numbers, central limit theorem, and introduction to Poisson Processes.
Description: Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis. Overview of computer languages and simulation design applied to various industrial situations.
ISYE 3232 - Stochastic Manufacturing & Service Systems
Description: Methods for describing stochastic movements of material in manufacturing facilities, supply chain, and equipment maintenance networks. Includes analysis of congestion, delays, and inventory ordering policies.
Description: Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression, and analysis of variance. Crosslisted with MATH 3770 and CEE 3770.
Description: Multidisciplinary perspectives on cognitive science. Interdisciplinary approaches to issues in cognition, including memory, language, problem solving, learning, perception, and action. Crosslisted with CS, PST, and PSYC 3790.
Description: core concepts and techniques for economic decision analysis of complex capital investment problems that involve dimensions of time, uncertainty and strategy. Students are also introduced to basic terminology, concepts and issues relevant to financial engineering, financial management and corporate finance.
ISYE 4740 - Biologically Inspired Design (Cross Listed with BIOL/ME/MSE/PTFE)
Description: We examine evolutionary adaptation as a source for engineering design inspiration, utilizing principles of scaling, adaptability, and robust multi-functionality that characterize biological systems.