Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression, and analysis of variance. Crosslisted with MATH 3770 and CEE 3770. Also, credit not awarded for both ISYE 3770 and MATH 3670.

The course will begin by introducing the students to three dimensions of performance of a healthcare system: cost, quality, and access. The main pursuit in the course will be to shed light on specific operations concepts and principles that can result in effective design and management of the healthcare delivery system.

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This course provides academic credit for independent thesis research conducted under the supervision of a Georgia Tech faculty advisor. The course does not involve regular class meetings, assignments, or examinations. The scope and direction of research are determined by the student in consultation with the thesis advisor, consistent with the requirements of the degree program.
 

For graduate students holding graduate teaching assistantships.

Advanced modeling and analysis of freight transportation and logistics systems. Intended for Ph.D. students.

An introduction to basic stochastic processes such as Poisson and Markov processes and their applications in areas such as inventory, reliability, and queueing.

Covers modeling of discrete-event dynamic systems and introduces methods for using these models to solve engineering design and analysis problems.