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This course includes topics on professional development and responsible conduct of research. The course satisfies the GT RCR Academic Policy for Doctoral Students to complete in-person RCR training.
The fundamentals of graph theory: trees, connectivity, Euler torus, Hamilton cycles, matchings, colorings and Ramsey theory.
Special topics course on Potential Theory offered by Doron Lubinsky in Fall 2016
Special topics course on Algebraic Curves, offered in Fall 2016 by Rainer Sinn.
An introduction to the Ito stochastic calculus and stochastic differential equations through a development of continuous-time martingales and Markov processes. (1st of two courses in sequence)
Case studies, visiting lecturers from financial institutions, student group projects of an advanced nature, and student reports, all centered around quantitative and computational finance. Crosslisted with ISYE and MGT 6785.
Introduction to large scale-system design to support computational finance for options, stocks, or other instruments.
An advanced course in Linear Algebra and applications.
Spectral theory of bounded and unbounded operators, major theorems of functional analysis, additional topics.
Special topics course on Mathematical Introduction to Compressive Sensing, by Michael Lacey, offered Fall 2016.