General Interest

  • MATH/AMSC/STAT 688 Minicourses in the Mathematical Sciences (Dan Rudolph)
  • MATH 689 Research Interactions in Mathematics or Statistics (various sections)
  • AMSC 689 Research Interactions in Applied Mathematics (various sections)

Algebra/Algebraic Geometry/Number Theory

  • MATH 601 Abstract Algebra II (Jim Schafer)
  • MATH 607 Algebraic Geometry II (John Millson)
  • MATH 621 Algebraic Number Theory II (Larry Washington)

Analysis

  • MATH 630 Real Analysis I (Rebecca Herb)
  • MATH 631 Real Analysis II (Ray Johnson)
  • MATH 632 Functional Analysis (Bob Warner)
  • MATH 648H Topics in Abstract and Applicable Harmonic Analysis (John Benedetto)
  • MATH 648I Topics in Integration and Modern Analysis (W. Czaja)

Differential Equations/Dynamical Systems

  • MATH/AMSC 671 Ordinary Differential Equations II (Dan Sweet)
  • MATH/AMSC 674 Partial Differential Equations II (Georg Dolzmann)

Logic

  • MATH 713 Mathematical Logic II (David Kueker)

Geometry/Topology

  • MATH 669S Topics in Riemann Surfaces (Bill Goldman)
  • MATH 734 Algebraic Topology (Joel Cohen)
  • MATH 742 Differential Topology (Sergei Novikov)
  • MATH 748G Critical Point Theory in Geometry (Karsten Grove)

Numerical Analysis/Applied Mathematics

  • AMSC 614 Mathematics of the Finite Element Method (Tobias von Petersdorff)
  • AMSC 661 Scientific Computing II (Howard Elman)
  • AMSC 664 Advanced Scientific Computing II (William Dorland)
  • AMSC 666 Numerical Analysis I (Peter Wolfe)
  • AMSC 667 Numerical Analysis II (John Osborn)
  • AMSC 698N Optimization and Nonlinear Programming (Steve Gabriel)
  • AMSC 698Q Modern Analytic and Geometric Methods in Classical Mechanics and Control Theory II ( P.S. Krishnaprasad)

Probability/Statistics

  • STAT 601 Probability Theory II (Abram Kagan)
  • STAT 650 Applied Stochastic Processes (Grace Yang)
  • STAT 698D Selected Topics in Probability: Stochastic Differential Equations (Mark Freidlin)
  • STAT 701 Mathematical Statistics II (Ben Kedem)
  • STAT 741 Linear Statistical Models II (Paul Smith)
  • STAT 770 Analysis of Categorical Data (Eric Slud)
  • STAT 798C Computational Methods in Statistics (Eric Slud)

Archives: F2011-S2012 F2012-S2013 F2013-S2014 F2014-S2015 F2015-S2016 F2016-S2017 F2017-S2018 F2018-S2019 F2019-S2020 F2021-S2022 F2022-S2023 F2023-S2024 F2024-S2025 

  • Where do all the scores come from? – generation accuracy of diffusion model, and multimodal sampling via denoising annealing

    Speaker: Molei Tao (Gatech) - https://mtao8.math.gatech.edu/

    When: Tue, October 7, 2025 - 3:30pm
    Where: Kirwan Hall 3206