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.

Topics include modeling with networks and graphs; linear, nonlinear, and integer programming, construction of models employing modern modeling languages; and general solution strategies.

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Provides the mathematical background for two of the pillars of modern data science: linear algebra and applied probability.

ISYE Senior Design Preparation.